Design, configure, and maintain CI/CD pipelines to support automated test execution.

Contribute actively within a Scrum and SAFe development environment.

Develop and automate functional and non-functional tests for both UI and API layers.

Create and maintain clear and comprehensive test documentation.

Work closely with business stakeholders to define and implement value-driven tests.

As a Test Automation Engineer at MHP, you will continuously grow with your projects and objectives in an innovative and supportive environment. You will be part of a team that values diversity, creativity, and unconventional thinking patterns.

Key responsibilities include:

• Developing and evolving the existing test automation framework

• Designing, configuring, and maintaining CI/CD pipelines

• Contributing actively within a Scrum and SAFe development environment

• Developing and automating functional and non-functional tests

• Creating and maintaining clear and comprehensive test documentation

• Working closely with business stakeholders to define and implement value-driven tests

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and experienced Test Automation Engineer looking for a new challenge, please submit your application.

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At bunq, we’re here to make life easier and redefine what banking can be. This is your chance to shape the future of digital banking by creating the best app experience imaginable. Use your coding prowess to build and enhance the Bank of The Free, ensuring seamless, secure, and flawless functionality for our users.

Take Ownership

As bunq's Senior Backend Engineer, you’ll be at the forefront of our backend development, ensuring our employees and users experience unparalleled stability and performance.

• Collaborate with our product team to design and implement robust backend structures for cutting-edge, user-facing features, utilizing technologies like MySQL, Redis, Elasticsearch, and PHP.
• Provide continuity and growth for our backend team by mentoring and guiding junior developers, helping them unlock their full potential.
• Manage high-availability production systems and support other departments by developing and maintaining efficient, scalable processes.

Requirements

• Our PHP-based backend is intuitive, so no prior PHP experience is needed while experience in any object-oriented language will do.
• You're able to build your own projects and manage high-availability production systems.
• You use your creativity to build industry breaking user facing features.
• You coordinate efforts to increase efficiency and scalability.
• You're fluent in English, both speaking and writing.

Your space to perform

We give you the space and the tools you need to succeed. Our team is great, international colleagues who share your mindset. We offer a hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly. We also have a Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration. We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.

XML job scraping automation by YubHub

At bunq, we're here to make life easier and redefine what banking can be. Play a key role in delivering an exceptional banking app experience by ensuring seamless, secure, and flawless functionality for our users. Use your coding skills to build and improve bank of the Free from behind the scenes.

Take Ownership

As a Backend Engineer at bunq, you'll be at the forefront of our backend development, ensuring our employees and users experience unparalleled stability and performance.

• Building (user-facing) features.
• Collaborating with product to propose and designing the backend structure for new features and supporting other departments by developing and maintaining processes.
• You'll utilize technologies like MySQL, Redis, Elasticsearch, and PHP to develop the bank of The Free.

Requirements

• Our PHP-based backend is intuitive, so no prior PHP experience is needed while experience in any object-oriented language will do.
• You're able to tinker and test your own projects.
• You use your creativity to build industry-breaking user-facing features.
• You coordinate efforts to increase efficiency and scalability.
• You're fluent in English, both speaking and writing.

Your space to perform

We give you the space and the tools you need to succeed.

Join forces with great colleagues across the globe to revolutionize banking.

Make lasting impact by working on complex & exciting challenges.

Accelerate your career growth with bunq Academy and €1500 learning budget and additional study leave.

Monthly contributions to your phone and internet bills.

A Macbook to keep with you while you're with us.

Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.

Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while traveling, combining flexibility with strong team collaboration

We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.

Travel expenses are covered whether you come walking or by bike, bus or car (though we prefer green choices ).

Fabulous in-house chefs cooking delicious lunches.

An optional pension plan with monthly contribution from bunq (Netherlands).

Private Health Insurance, just in case (Istanbul).

A massive discount with Urban Sports Club for your wellbeing (Netherlands).

Stay fit & healthy with a Multisport gym card (Istanbul).

Friday drinks, team events, and other celebrations - bunq style!

XML job scraping automation by YubHub

As an Engineering Manager, you will be part of the Discovery team in the Guest Experience department. The team is responsible for designing and maintaining the list page of our website, ensuring users can easily find the best vacation rental from our search results.

Your contributions will help create a seamless and joyful journey for travellers, which will result in increasing conversion rates and customer satisfaction.

Your team will consist of frontend & backend engineers (direct reports), a project manager and a QA engineer.

You'll work closely with the Ranking, Conqueror, and Marketing teams, which manage the machine learning models for property ranking on the list page, booking systems, and Holidu's marketing efforts. Together, you'll ensure a seamless and cohesive user experience.

Our Tech Stack

• Frontend: Typescript and NodeJS processes in Kubernetes. We use ReactJS, Zustand and TailwindCSS on the client and Express on the server.

• Backend: Java 17/21, Kotlin (Spring Boot).

• Infrastructure: Microservices architecture deployed on AWS Kubernetes (EKS).

• Data Management: PostgreSQL, Redis, Elasticsearch 7, Redshift (part of a data lake structure).

• DevOps Tools: AWS, Docker, Jenkins, Git, Terraform.

• Monitoring & Analytics: ELK, Grafana, Looker, Opsgenie, and in-house solutions.

Your role in this journey

• Lead a high-performing cross-functional team, focusing on product innovation, infrastructure reliability, delivery speed, quality, engineering culture, and team growth.

• Ensure your team delivers applications that are highly scalable, highly available, and capable of handling high traffic of up to 1 million unique users per day.

• Support team growth through regular feedback, mentorship, and by recruiting exceptional engineers.

• Work closely with product management, product design, and stakeholders to define the team's goals (OKR’s) and roadmap.

• Collaborate with peers, staff engineers, and other stakeholders to drive strategic technology decisions.

• Lead strategic team-driven projects, identify opportunities, define and uphold quality standards.

• Foster a great team culture aligned with the company values, ownership, autonomy, and inclusivity within your team and the entire department.

• Take full responsibility for delivering impactful features to millions of users annually.

The role includes dedicating approximately 40-50% of the time as an individual contributor focused on feature implementation.

Your backpack is filled with

• A bachelor's degree in Computer Science, a related technical field or equivalent practical experience.

• Experience building and implementing backend services and/or frontend applications.

• Experience providing technical leadership (e.g., setting goals and priorities, architecture design, task planning and code reviews).

• Experience as a people manager with the ability to build an excellent team culture based on mutual respect, empathy, learning and support for each other.

• Love for building world-class products with a great user experience.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters,and you’ll see the impact.

• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets,with a strong focus on AI.

• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts,people we can all relate to,making work meaningful and energizing.

• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

• Competitive Package: 95.000-125.000€ + VSOPs based on relevant experience and seniority , learn more about our approach to compensation here.

• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized,but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

XML job scraping automation by YubHub

You'll be working at the heart of our property acquisition engine , where we take hosts from their very first sign-up all the way to their first booking, making that journey as fast and seamless as possible.

This team sits at a uniquely strategic intersection of product and growth. You will build and optimize the systems that every new host flows through: from onboarding and listing creation, to property configuration, content quality, and referral programs.

The work demands reliability and attention to detail , because the time between a host signing up and welcoming their first guest, and how well their property performs from day one, is directly shaped by the quality of what you build.

Our Tech Stack

• Backend written in Kotlin and Java 21+ (with Spring Boot), with Gradle.
• Deployed as microservices on AWS-hosted Kubernetes cluster (EKS).
• Internal and external web applications written with ReactJS.
• Event-driven communication between services through EventBridge with SQS / ActiveMQ.
• Usage of a diverse set of technologies depending on the use case, such as PostgreSQL, S3, Valkey, ElasticSearch, GraphQL, and many more.
• Monitoring with OpenTelemetry, Grafana, Prometheus, ELK, APM, and CloudWatch.

Your role in this journey

• Design, build, evolve, and maintain our services, creating a great user experience for our hosts.
• Build a strong understanding of the product, use it to drive initiatives end-to-end, and contribute to shaping the team's direction as you grow.
• Work AI-first: use AI to accelerate not just coding, but data exploration, codebase understanding, technical design, and decision-making , and continuously sharpen how you use these tools.

Your backpack is filled with

• A passion for great user experience and drive to deliver world-class products.
• Early experience delivering product impact through engineering , you've shipped things that real users depend on.
• Experience with Java or Kotlin with Spring is a plus.
• Experience with relational databases and deploying apps in cloud environments. NoSQL experience is a plus.
• Familiarity with various API types and integration best practices.
• Strong problem-solving skills and a team-oriented mindset.
• Curiosity for the business side - you want to understand the “why” behind the features.
• A love for coding and building high-quality products that make a difference.
• High motivation to learn and experiment with new technologies.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

XML job scraping automation by YubHub

You'll be working at the core of our distribution engine - where we take tens of thousands of homes and make them bookable on major travel platforms such as Holidu, Booking.com, Airbnb, VRBO, HomeToGo, and Check24.

This team operates in one of the most technically dynamic areas of our product. You will work with systems that synchronize large volumes of updates at high speed and maintain high availability, while integrating with a wide variety of partner APIs - each with its own structure and complexity.

It's work that demands precision, scalability, and smart engineering decisions, and it plays a crucial role in helping our hosts reach millions of guests worldwide.

Our Tech Stack

• Backend written in Kotlin and Java 21+ (with Spring Boot), with Gradle.
• Deployed as microservices on AWS-hosted Kubernetes cluster (EKS).
• Internal and external web applications written with ReactJS.
• Event-driven communication between services through EventBridge with SQS / ActiveMQ.
• Usage of a diverse set of technologies depending on the use case, such as PostgreSQL, S3, Valkey, ElasticSearch, GraphQL, and many more.
• Monitoring with OpenTelemetry, Grafana, Prometheus, ELK, APM, and CloudWatch.

Your role in this journey

• Design, build, evolve, and maintain our services, creating a great user experience for our hosts.
• Build a strong understanding of the product, use it to drive initiatives end-to-end, and actively shape the team's direction , not just execute on it.
• Work AI-first: use AI to accelerate not just coding, but data exploration, codebase understanding, technical design, and decision-making , and continuously sharpen how you use these tools.
• Ensure our applications are highly scalable, capable of handling tens of thousands of properties and millions of bookings.
• Work with data persistence - whether in PostgreSQL, Redis, S3, or new state-of-the-art technologies you help us evaluate.
• Ship to production daily , deploying to our AWS Kubernetes cluster is part of the routine, not a special occasion.
• Own the reliability of your services , set up monitoring, define SLOs, and drive incident resolution so your team can move fast with confidence.
• Collaborate in a supportive, cross-functional team that values knowledge sharing and improving together.
• Apply engineering best practices, and stay curious by experimenting with new technologies.

Your backpack is filled with

• A passion for great user experience and drive to deliver world-class products.
• Proven track record of delivering product impact through engineering , not just building services, but solving real problems for users.
• Experience with Java or Kotlin with Spring is a plus.
• Experience with relational databases and deploying apps in cloud environments. NoSQL experience is a plus.
• Familiarity with various API types and integration best practices.
• Strong problem-solving skills and a team-oriented mindset.
• Curiosity for the business side - you want to understand the “why” behind the features.
• A love for coding and building high-quality products that make a difference.
• High motivation to learn and experiment with new technologies.

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.
• Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.
• Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

XML job scraping automation by YubHub

We're looking for a Senior Software Engineer to join our GenAI Engineering organization. As a key member of our team, you will design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers.

Responsibilities:

• Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
• Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
• Collaborate closely with internal operators to identify bottlenecks and ship fast, pragmatic solutions
• Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes
• Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
• Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

XML job scraping automation by YubHub

You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Search platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack
• Leading end-to-end delivery of customer engagements – from discovery and design through implementation, enablement, and optimisation
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement

The ideal candidate will have 5+ years of experience as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies, including Elasticsearch and related search platforms. They will also have hands-on experience designing and deploying search solutions, proficiency in at least one programming language, and knowledge of distributed search systems and large-scale infrastructure.

The role offers a competitive salary range of $110,900-$175,500 USD, with opportunities for growth and professional development in a dynamic and distributed company.

XML job scraping automation by YubHub

We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products.

Responsibilities:

• Design, implement, and operate flexible and accurate financial systems
• Work across backend, frontend, and accounting-related systems
• Deliver at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Provide critical input in the Billing team’s roadmap and technical direction
• Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure.

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

XML job scraping automation by YubHub

About EarnIn

EarnIn is a pioneer of earned wage access, offering financial flexibility to individuals living paycheck to paycheck.

We're seeking experienced, passionate, and resourceful senior engineers to join our backend teams. As a backend engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services.

This position will be a hybrid role based in our Bengaluru office, as part of our expanding site presence, with 2 days per week in the office. EarnIn offers excellent benefits for our employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View.

Responsibilities

• Design and implement features robust enough to support our rapid expansion.

• Drive the implementation of new features by breaking complex problems down to their essentials, translating that complexity into elegant design, and creating high-quality, maintainable code.

• Create and maintain test automation to enable continuous integration and development velocity.

• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.

• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.

• Work cross-functionally with other teams (data science, design, product, marketing, analytics).

• Leverage a broad skill set and help us implement and learn new technologies quickly.

• Provide and receive design and implementation evaluations and improve with each iteration.

• Debug production issues across our services infrastructure and multiple levels of our stack.

• Think about distributed systems & services, and care passionately about producing high-quality code.

Requirements

• 4+ years of development experience in Software Engineering

• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.

• Proficient in at least one modern programming language such as C#, Java, Python, Go, and Scala.

• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.

• Experience with continuous integration and delivery tools.

• Experienced in developing and executing functional and integration tests.

• Excellent written and verbal communication skills.

• Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.

• Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.

• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

XML job scraping automation by YubHub

At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

• Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

XML job scraping automation by YubHub

You will collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord. You will exercise 'First Principles Thinking' to always deliver what matters most to our users.

You will work with a talented team of engineers who have built one of the largest communication platforms in the world.

Responsibilities:

• Build and operate large-scale, reliable, and performant data systems with ScyllaDB, PostgreSQL, ElasticSearch, Linux, and Rust.
• Collaborate with product and infrastructure teams to develop storage primitives enabling all of Discord.
• Exercise 'First Principles Thinking' to always deliver what matters most to our users.
• Work with a talented team of engineers who have built one of the largest communication platforms in the world.

Requirements:

• 4+ years of experience with building distributed systems and datastore infrastructure.
• Experience with highly-available and distributed databases: e.g. ScyllaDB, Cassandra, BigTable, DynamoDB, CockroachDB, Postgres w/HA, etc.
• Proficiency with at least one statically-typed programming language: e.g. Rust, Go, Java, C, C++
• Strong operating systems, distributed systems, and concurrency control fundamentals.
• Familiarity with Linux internals.
• Comfortable working in fast-paced environments.

Bonus Points:

• Experience with Cassandra or Scylla.
• Experience with Rust.
• Knowledge of DevOps tools like Salt, Terraform, or Kubernetes.

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multi-platform, multi-generational, and multiplayer platform that helps people deepen their friendships around games and shared interests.

We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank.

Join us in our mission!

Your future is just a click away!

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This position will be a hybrid role based in our Bengaluru office, with 2 days on-site as part of our expanding site. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ.

Responsibilities:

• Design & implement features robust enough for our large scale.
• Drive the implementation of new features,break complex problems down to their bare essentials, translate that complexity into elegant design, and create high-quality, maintainable code.
• Create and maintain test automation to enable continuous integration and development velocity.
• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.
• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.
• Work cross-functionally with other teams (data science, design, product, marketing, analytics).
• Leverage a broad skill set and help us implement and learn new technologies quickly.
• Provide and receive design and implementation evaluations and improve with each iteration.
• Debug production issues across our services infrastructure and multiple levels of our stack.
• Think about distributed systems & services and care passionately about producing high-quality code.

Requirements:

• 4+ years of development experience in Software Engineering
• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
• Proficient in at least one modern programming language such as C#, Java, Python, Go, and Scala.
• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.
• Experience with continuous integration and delivery tools.
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)
• Experienced in developing and executing functional and integration tests.
• Excellent written and verbal communication skills.
• Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.
• Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.
• Experience in payments or fintech is a plus.
• Experience with payment processors or internal financial systems is a plus.

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The Canada base salary range for this full-time position is $252,000-$308,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This role will be hybrid from our Vancouver, CAN office, with 2 days a week in the office required.

Responsibilities:

• Drive the design and implementation of new features. Break down complex problems into their bare essentials, translate this complexity into elegant design, and create high-quality, clean code.

• Make a meaningful impact on the lives of our community members.

• Design, develop, and deliver large-scale systems.

• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.

• Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success.

• Estimate and manage team project timelines and risks.

• Care passionately about producing high-quality, efficient designs and code.

• Constantly learning about new technologies and industry standards in software engineering.

• Work cross-functionally with other teams, including: Analytics, design, product, marketing, and data science.

Requirements:

• 7+ years of development experience in backend software development

• Bachelor's, Master’s, or PhD in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.

• Proficiency in at least one modern programming language, such as Java, Kotlin, Scala, or C#, and experience with at least one major framework such as Spring, Spring Boot, or ASP.NET Core.

• Hands-on experience working in cloud environments: AWS, GCP, or Azure

• Proficiency in event-driven systems such as Kafka, SQS, SNS, or Kinesis, and experience designing and operating scalable distributed systems.

• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

• Hands-on experience working with various databases. DynamoDB, MySQL, ElasticSearch

• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) to improve engineering productivity

• Experience with continuous integration and delivery tools, and experience in developing and executing functional and integration tests.

• Familiarity with a clean architecture approach and software craftsmanship

• Experience with Kubernetes and microservice architecture is a strong plus.

• Excellent written and verbal communication skills.

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This is a senior software engineering role that covers the design and implementation of new features, enhancements to existing features, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

Responsibilities

• You'll be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You are able to research what available data structures and algorithms work best to implement a new functionality or enhancement. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.
• You'll work with a globally distributed team of experienced engineers focused on the search and query (ES|QL) analytics capabilities of Elasticsearch. You'll get to work with the teams that build the UI to ensure a good user experience, and you'll get to work with the teams building solutions on top of these APIs
• You'll be an expert in several areas of Elasticsearch, and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.
• You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts, and sometimes handling them yourself.
• You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

Requirements

• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas.
• You have experience with software systems engineering
• You have a strong desire to optimize and make use of the most efficient data structures and algorithms.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code, approaches, and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You’ve worked in the search and information retrieval space. You’re familiar with the data structures and algorithms associated with information retrieval.
• You’ve worked on data storage technology or have experience building data analytics capabilities.
• You have experience designing, leading and owning cross-functional initiatives.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration

Compensation

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is:$133,100-$210,600 USDThe typical starting salary range for this role in the select locations listed above is:$159,900-$252,900 USD

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You will also build demos and examples to support your content or share the highlights of the latest research papers, and add a creative spark to Elastic's content to keep our community engaged and draw in new audiences.

As a Senior Developer Advocate, you will work independently and see projects through from idea to publication without waiting on others. You will have a solid technical background and experience in an engineering role, demonstrated ability to create a variety of content formats, comfort working independently, curiosity and adaptability to quickly pick up new tools and topics, a collaborative mindset and willingness to share ideas, and strong written and spoken communication skills in English.

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The TPM will be responsible for managing the backlog, prioritizing initiatives, and facilitating technical literacy among the team. They will also drive change management and adoption, creating structural mechanisms to gather feedback from consultants and driving continuous improvement.

Additionally, the TPM will organize and energize our specialization Guilds, facilitating technical deep dives and ensuring that meetings have deep value. They will also facilitate collaboration and integration between the Services teams, Solutions Architects, Customer Architects, and Product Engineering.

The TPM will manage internal communications to the Global Services organization, drafting newsletters, release notes, and hosting enablement calls. They will also work with Field Engineering leadership to ensure that the assets we build are applicable and used across the entire field teams.

The TPM will define success metrics, move beyond vanity metrics, and track important metrics that prove business value. They will also run sprint planning, stand-ups, and retrospectives with an engineering approach, holding the team accountable for their deliverables.

To be successful in this role, you will need 5+ years of experience as a Program Manager, Technical Project Manager, or Delivery Lead, ideally within a Professional Services, Consulting, or SaaS Customer Success environment. You will also need strong communication skills, mastery of project management tools, and technical aptitude.

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You will participate with the global recruiting team to develop, implement and execute recruiting strategies, solidify relationships with Field leadership, and serve as an advisor and partner to build healthy pipelines of stellar candidates and fill current openings.

As a passionate Elastic brand ambassador, you will help us build our talent brand in addition to our talent pipeline. You will also partner with other departments, such as Finance and Legal, to drive the recruiting process.

To succeed in this role, you will need 8+ years of sales recruiting experience, demonstrable experience recruiting for a software company, and the ability to effectively articulate the Elastic value proposition and story to candidates.

You will also need to be able to cold-call and establish relationships by phone, email, and social media channels, experience collaborating with and influencing senior hiring managers and executives throughout the recruiting cycle, authority in direct sourcing and effective interviewing techniques, and working knowledge of ATS tools and recruiting technologies.

Additionally, you will need to be bilingual in both English and Japanese.

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Your primary responsibilities will include building and maintaining Machine Learning and advanced analytical platform components, implementing scalable, high-quality, well-architected code, collaborating with other engineering teams within Elastic, assisting our support engineers and community, and promoting knowledge sharing and collaboration in a distributed team.

To be successful in this role, you will need strong skills in core Java, a deep technical proficiency in algorithms, professional experience in leading the development of Machine Learning components, and the ability to understand and work on complex systems.

In addition to the technical requirements, you will need to be able to communicate with a variety of stakeholders, including developers, product managers, and customers.

This role offers a competitive salary range of $192,500-$304,500 CAD, as well as opportunities for professional growth and development.

If you are a motivated and experienced software engineer looking to take on new challenges, we encourage you to apply for this exciting opportunity.

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Key Responsibilities:

• Lead and mentor engineers, fostering a culture of collaboration and continuous improvement.
• Scale logging, tracing, and metrics platforms to support a global datacenter footprint.
• Develop and refine monitoring and alerting to enhance system reliability.
• Advise engineers across CoreWeave on optimal usage of Observability systems.
• Automate interactions with CoreWeave's Compute Infrastructure layer.
• Manage production clusters and ensure development teams follow best practices for deployments.

Required Qualifications:

• 7+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field.
• Deep expertise across all observability pillars using tools like ClickHouse, Elastic, Loki, Victoria Metrics, Prometheus, Thanos and/or Grafana.
• Expertise in Kubernetes, containerization, and microservices architectures.
• Proven track record of leading incident management and post-mortem analysis.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience running and scaling observability tools as a cloud provider.
• Experience administering large-scale kubernetes clusters.
• Deep understanding of data-streaming systems.

The base salary range for this role is $188,000 to $250,000.

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This position will be a hybrid role based in our Bengaluru office, with 2 days on-site as part of our expanding site. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ.

Our salary ranges are determined by role, level, and location.

Responsibilities:

• Design & implement features robust enough for our large scale.
• Drive the implementation of new features,break complex problems down to their bare essentials, translate that complexity into elegant design, and create high-quality, maintainable code.
• Create and maintain test automation to enable continuous integration and development velocity.
• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.
• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.
• Work cross-functionally with other teams (data science, design, product, marketing, analytics).
• Leverage a broad skill set and help us implement and learn new technologies quickly.
• Provide and receive design and implementation evaluations and improve with each iteration.
• Debug production issues across our services infrastructure and multiple levels of our stack.
• Think about distributed systems & services and care passionately about producing high-quality code.

Requirements:

• 4+ years of development experience in Software Engineering
• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.
• Proficient in at least one modern programming language such as C#, Java, Python, Go, and Scala.
• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.
• Experience with continuous integration and delivery tools.
• Experienced in developing and executing functional and integration tests.
• Excellent written and verbal communication skills.
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)
• Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.
• Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.
• Experience in payments or fintech is a plus.
• Experience with payment processors or internal financial systems is a plus.

XML job scraping automation by YubHub

This is a principal software engineering role that focuses on enhancing the vector and keyword search functionality within Elasticsearch, covering the design and implementation of new search features, enhancements to existing search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.
• Be an expert on Elasticsearch search relevance. You'll identify and drive improvements in this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring

• Professional experience with search and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• You have experience designing, leading and owning cross-functional initiatives

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

The typical starting salary range for this role is: $154,000-$243,600 CAD

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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Responsibilities:

• Develop and maintain software, tooling, and automations to ensure the reliability and scalability of our global infrastructure.

• Lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure.

• Collaborate with engineers to identify, implement, and deliver solutions that meet the needs of our customers.

• Champion an environment focused on collaboration, operational excellence, and uplifting others.

• Respond to and prevent repeated customer impact in response to major incidents and prioritized problem management.

Requirements:

• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability.

• Background in software engineering to collaborate with engineers to expertly identify, implement, and deliver solutions.

• Experience in public cloud and managed Kubernetes services is advantageous.

• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Preferred Qualifications:

• Operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.

• Built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

• Written non-trivial programs in Golang or other programming languages.

• Worked with containerized services (such as Docker).

• Proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying levels of the organization.

• Experienced in system administration with professional skills in Linux on distributed systems at scale.

• Diagnosed or designed, implemented, and created solutions with the Elastic Stack.

• Thrived in a self-organizing and sharing in a globally distributed team environment.

• Strengthened team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation:

• This role is eligible to participate in Elastic's stock program.

• Total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

• Typical starting salary range for this role is $154,800-$195,600 USD.

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We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!

Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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You will document and share your knowledge with the rest of the organization and our customers using Knowledge Centered-Services (KCS) methodology. You will also have a mindset of continuous improvement, in terms of efficiency of support processes and customer satisfaction.

To be successful in this role, you will need to work across multi-cultural and geographically distributed teams. You will have 3+ years of proven experience in Technical Support in a Software business, a technical background in fields like Information Technology, Network Engineering, Software Engineering, and a 'Customer First' mindset.

You will be a team player, able to work in a fast-paced environment with a positive and adaptable approach. You will have knowledge of databases (SQL / No SQL) or search software technologies, experience with SaaS and/or Distributed systems, experience with Linux/Unix, experience with APIs, familiarity with Knowledge Centered-Services (KCS), and highly collaborative.

Native Korean language skills and professional working proficiency in English are required, as well as effective verbal and written communication skills.

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As a Technical Product Manager, you will partner with Support, Revenue Operations, program management, and IT to execute the vision, prioritize, and deliver lovable product features that balance innovation with operational excellence.

Key responsibilities include:

User Discovery: Interview internal users to uncover friction points and root causes, translating these insights into detailed functional requirements and clear feature initiatives tied to business outcomes. Cross-Functional Collaboration: Partner with Field, Engineering, and Revenue Operations to scope, plan, and launch 'lovable' products. Outcome Driven: Define and build success metrics directly into the product design phase, using data to inform current execution and future strategy. Innovation: Identify and apply improvements to internal workflows and new feature sets, incorporating GenAI where appropriate. Efficiency & Adoption: Drive internal efficiency, high feature adoption, and operational cost reduction.

Requirements include:

Technical Fluency: A strong technical background with the ability to discuss trade-offs with engineers. Functional Precision: Proven track record of refining high-level business requirements to granular, actionable technical specifications. Analytical Outlook: Professional experience using data to drive continuous improvement and track product-level success. Leadership & Ownership: Ability to operate with high autonomy and ownership in a fast-paced environment, leading cross-team projects to completion. Humble Attitude: A commitment to the success of the team and the company above all else.

Bonus points include familiarity with SQL and platforms like Pendo, Amplitude, Fullstory, or Looker, experience with Elastic Cloud, Elastic Stack, or similar cloud-based search and analytics platforms, and experience or willingness to work in a distributed, remote-first organization.

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Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Compensation: The expected salary range for this role is $192,000 - $240,000 + equity.

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Responsibilities:

• Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar are preferred.
• Drive continual improvement in processes, procedures, and automations to improve the quality and effectiveness of the team.
• Participate in a 24/7 on-call rotation performing security incident response.
• Commandeering security incidents and updating stakeholders.
• Identify and develop new detection use cases and optimize existing detections.
• Collaborate on technical directions and solutions with other teams.
• Research and analyze patterns in security events across X's global infrastructure.
• Identify, design, and lead threat hunting missions to quantify and reduce threats.
• Manage and support the log collection, security scanning, intrusion detection, and other security-related systems.
• Design and assist in the development of automation to reduce false positives and handle events automatically.
• Analyze the security posture of systems via testing and vulnerability impact analysis.

Basic Qualifications:

• 2+ years of relevant information security experience.
• Self-starter, can receive a task and execute with minimal supervision.
• Strong Python scripting skills for implementing security automation.
• Knowledge of networking and macOS, Windows, or Linux operating systems.
• Knowledge of cloud security fundamentals and practices (vendor agnostic).
• Experience managing and/or deploying security technology.
• Experience with building queries and dashboards for security monitoring.
• Knowledge of current threats and techniques and a desire to research and learn more.
• Experience with malware analysis, forensics, or penetration testing.
• Problem-solving skills or experience with troubleshooting.

ITAR Requirements:

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Preferred Skills and Experience:

• Elastic / OpenSearch or similar platforms.
• Open Source security automation tooling.

Compensation and Benefits:

$180,000 - $440,000 USD. Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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This is a rare opportunity to define what engineering leadership looks like inside a design organization. You'll report to the Chief Design Officer and partner closely with Product Design, Technical Writing, Localization, Marketing, Product Management, and Engineering leaders across GitLab.

Critically, the design system is a contribution-based, company-wide platform that engineers across the entire organization depend on and actively participate in. Building those partnerships and making it easier for engineers everywhere to contribute to Pajamas will be central to your success.

You'll be a hands-on technical leader and people manager in equal measure: guiding architecture decisions, shaping contribution workflows, and helping a small, high-impact team do some of the most leveraged work at GitLab.

Responsibilities

• Lead, mentor, and grow a high-performing team of engineers, working across the Pajamas Design System and the GitLab documentation site.
• Define and build the engineering practice within Upstream Studios–this is a new function and you’ll have real influence over how it takes shape.
• Guide architecture and technical decisions for the design system (components, tokens, patterns) and the docs site (performance, reliability, infrastructure, localization).
• Help others across the organization understand the strategic value of a well-maintained design system and documentation platform.
• Advocate for engineering quality: technical debt, accessibility standards, customer issues, security, and platform reliability.
• Collaborate with Product Design and Technical Writing to translate design and content needs into scalable technical solutions

Requirements

• Experience leading infrastructure, platform, or development teams, with a track record of building high-performing, values-aligned teams.
• Deep expertise in design systems–including design tokens, component architecture, accessibility standards, and contribution models.
• Excellent technical background, including professional experience with Git, docs-as-code, Hugo, accessibility, and building and maintaining a design system.
• Experience of building and supporting multi-lingual sites and localization workflows at scale.
• Professional experience with JavaScript (Vue.js) and familiarity with Elasticsearch, Ruby/Go, AI tools, and continuous integration and continuous deployment (CI/CD) practices.
• Strong expertise in running and scaling large, consumer-grade platforms, with a focus on reliability, security, performance, and scalability.
• Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment.
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions.
• Experience with performance and optimization problems and a demonstrated ability to both diagnose and prevent these problems
• Comfort working in a highly agile, intensely iterative software development process.
• Passion for open source and developer tools, with a commitment to GitLab's values, inclusive culture, and high-performance expectations

About the Team

Upstream Studios is the full-stack experience organization for GitLab. We imagine it, we design it, we document it, we ship it,partnering across product, engineering, and marketing to deliver a continuous deployment of quality. We integrate research, design, frontend engineering, documentation, and brand into a unified delivery pipeline, shaping how customers experience GitLab from first impression to final deployment.

For more information on how we work, see the Upstream Studios section of the GitLab Handbook.

How GitLab Supports Full-Time Employees

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

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As a Partner Solutions Architect, you will:

• Own Technical Engagement Plans (TEPs) for focus partners, establishing long-term technical roadmaps at the CTO and Practice Lead level.
• Guide partners through high-stakes Technical Validation cycles, ensuring Elastic solutions are built to best-practice standards.
• Lead 'one-to-many' technical 'Build-a-thons' and hands-on laboratory sessions that empower partner engineers to lead their own implementations.
• Build deep relationships with partner pre-sales teams to guide them through the 'how-to' of complex Search AI, Observability, and Security architectures at the configuration level.
• Collaborate on 'design wins' by developing repeatable technical blueprints.

To be successful in this role, you will require:

• Direct, hands-on experience with the Elastic Stack (ELK) or similar distributed search/analytics technologies (e.g., OpenSearch, Solr, Splunk, Datadog).
• 8+ years of experience in technical roles.
• Proven ability to design and build technical prototypes, ingest complex datasets, and optimize search/indexing performance.
• Hands-on experience with Kubernetes, Docker, and Infrastructure as Code (Terraform) on AWS, Azure, or GCP.
• 3+ years in a partner-facing role, with a focus on building technical practices and enabling third-party engineering teams.
• The ability to translate deep technical capabilities into scalable partner-led solutions.

If you are a motivated and experienced professional with a passion for technology and partnership development, we encourage you to apply for this exciting opportunity.

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Your responsibilities will include:

• Designing and implementing features that power Value Reports, AI-powered Inboxes, and Guided onboarding for all of the Security products.
• Building and evolving APIs that correlate entities, findings, signals, and configuration data into coherent security stories.
• Developing scalable, high-performance systems within the Elastic ecosystem and cloud-native environments.
• Owning the reliability, observability, and operational health, from design to production.
• Collaborating with product, design, and other engineering teams to refine requirements and deliver impactful, user-centered solutions.

To succeed in this role, you will need:

• Solid programming experience in JavaScript/TypeScript, with a particular emphasis on React.js and Node.js frameworks.
• Experience designing and implementing APIs, data models, and services that support rich application workflows.
• Ability to take ownership of problems end-to-end: from clarifying requirements and proposing designs to delivering, monitoring, and iterating in production.
• Comfort working in a distributed, async-first environment and collaborating with colleagues across time zones.
• A proactive mindset: you ask the right questions, challenge assumptions, and look for ways to improve both product and engineering processes.

Bonus points for familiarity with Kibana or Elasticsearch, and contributions to open source.

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Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, intuitive, and high-quality software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

As a Senior Software Developer, you will:

• Work with a globally distributed team of experienced engineers focused on data storage mechanisms and query capabilities of Elasticsearch.
• Be an expert in the storage engine area, and everyone will turn to you when they have a question about it. You'll improve those areas based on your questions and your instincts.
• Be a full-time Elasticsearch contributor, building data-intensive new features, fixing intriguing bugs, and increasing the testing coverage, all while making the code easier to understand.
• Design and implement advanced algorithms and data structures, often working at the system and hardware level. You’ll also engage with our global community for triaging and resolving issues and pull requests.

We're looking for someone with strong core Java skills and an excellent understanding of concurrent and parallel programming principles. You should have an excellent background in applied data processing (data structures, algorithms) and be familiar with storage systems and low-level abstractions in OS. You should also be able to work with a high level of autonomy and be able to take on projects and guide them from beginning to end.

This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD. This role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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To be successful, you will have experience marketing to developers and need to become comfortable with the technical aspects of Elastic's products and solutions, including LLM and SLMs, the markets they play in, as well as, the creative aspects of positioning technology through messaging and narratives that are compelling, authentic, and differentiated!

Key responsibilities include: Acting as a technical product marketing lead for the Jina AI, and taking ownership of the strategy to drive awareness and market penetration of key capabilities Serving as an internal authority on the developer persona Crafting compelling, technical and differentiated outbound product messaging and content (like blogs, videos, tutorials, web pages, webinars that resonate with developers) Enabling the field on our solutions, through training and content (e.g. pitch decks and playbooks.) Building and implementing plans to reach and champion relationships with our developer and technology partner ecosystem Planning and implementing product launches (with operational marketing teams), including creating launch materials and content to support and coordinate with team members Building a positive partnership with peers in Product Management, Engineering and Community to effectively launch new features and products and engage with users Attending and presenting at Elastic events, third party trade shows and other events to help showcase our products to technical audiences.

What you bring: 7-10 years of experience in product marketing in a technical environment Proven track record of effectively marketing technical products to developers or technical audiences Curiosity about the 'how' of technology to tell compelling stories about the 'why' Ability to work in a very cross functional role, with a highly distributed team Experience driving a GTM and crafting high quality assets Be a spokesperson for product capabilities and Elastic at large for internal and external audiences - including webinars, trainings, and analyst briefings Excellent spoken and written communication skills

Bonus considerations: Direct experience with developers, and audiences that build applications Product marketing experience with technical AI, SaaS or infrastructure products preferred Experience crafting engaging content for developers, including blog posts, decks, videos, etc. Comfortable marketing to technical leaders Familiarity with Elasticsearch, Elastic Platform or our solutions

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $135,700-$214,700 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Additional information: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

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Collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

You will take an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. You will grow our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.

You will collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer-first approach in solving operational problems for both today and the future.

Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform

You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

You have written product features or functions in Golang or other programming languages.

You have worked with containerized services (such as Docker).

You have proven results in leading and improving cross-team engineering initiatives.

You have experience in system administration with professional skills in Linux on distributed systems at scale.

You have diagnosed or designed, implemented and created solutions with the Elastic Stack.

You are experienced in a self-organizing and sharing in a globally distributed team environment.

You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $189,800-$232,900 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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This is an opportunity to do career-defining work with a talented team of engineers and technically-minded managers. You will be joining a team that is fast, creative, and flexible, with a weekly release cycle and individual ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company that is about to change the cloud computing landscape forever.

Minimum required knowledge, skills, and abilities:

• Immense passion about doing the right thing to help Okta's technology stay ahead of its anticipated business growth
• Solid technology chops in architecting, implementing, tuning, and debugging some of the largest cloud deployments in the enterprise world
• Bachelor's degree in computer science or equivalent
• 7+ years of expansive programming experience in an object-oriented programming language like Java, especially in backend services
• 7+ years of experience working with MySQL or equivalent relational database systems
• Demonstrated experience of working with ReST and good understanding of its fundamentals
• Knowledge of Spring, Spring Boot, Hibernate, and Tomcat
• Knowledge of AWS, Redis, Elasticsearch, and Docker
• Familiarity with network security, authentication, and authorization as a nice-to-have
• Demonstrably followed best software engineering principles
• Experience with enterprise SaaS as a good-to-have
• Familiarity with Agile software development process

The Okta Experience:

• Supporting Your Well-being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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Key responsibilities include:

• Creating high-quality technical videos focused on search, AI/ML, and Elasticsearch as a platform
• Exploring and explaining how Elasticsearch integrates with other tools and protocols in the ecosystems
• Prototyping and publishing sample applications showing end-to-end Search + AI use cases
• Bringing a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences

Requirements include:

• A proven track record of creating highly technical and engaging videos
• Strong technical background and experience in an engineering role
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible
• Comfortable working with a highly distributed team
• Experience working self-driven and self-organizing
• Excellent spoken and written communication skills in English

Additional benefits include competitive pay, health coverage for you and your family, ability to craft your calendar with flexible locations and schedules, generous number of vacation days each year, increase your impact through financial donations and service, and embracing parenthood with minimum of 16 weeks of parental leave.

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More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer --------------- AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your role -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.

You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.

You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do ------------

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring --------------

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.

• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.

Why Join Dialpad ---------------

• Work at the center of the AI transformation in business communications.
• Build and ship agentic AI products that are redefining how companies operate.
• Join a team where AI amplifies every employee’s impact.
• Competitive salary, comprehensive benefits, and real opportunities for growth.

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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On this team, you'll have the opportunity to build new products and solve critical problems using cutting-edge machine learning techniques to implement the world's best entity resolution and matching systems.

Our team embraces a culture that is self-driven, inquisitive, open, and customer-centric.

Key Responsibilities:

• Understand the current architecture and data to build and improve the matching results to provide best in class match experience for Zoominfo users.

• Extend and adapt this architecture to adapt to customer matching needs and infrastructure context.

• Build best-in-class entity resolution and match service powering multiple applications and millions of users globally across billions of documents.

• Drive the architecture and design of software solutions, ensuring scalability, performance, and reliability using best practices and industry standards.

• Collaborate with cross-functional teams, including product managers, architects, and other stakeholders, to define and deliver on a long term and impactful roadmap for match algorithm.

• Implement using first principles with low latency and relevancy using large scale data systems and/or machine learning.

• Stay up to date with emerging technologies, trends, and best practices in software development and recommend suitable technologies and approaches for solving complex technical challenges.

Requirements:

• Passionate about building cutting-edge entity resolution and matching systems, independently driving features from conception to completion.

• Bachelor’s degree in Computer Science, Software Engineering or related field is required, Masters preferred.

• Proven experience (6+ years) in software development, with a focus on building large scale backend services for customer facing applications.

• Substantial experience with Java 8+ and frameworks like Spring.

• Proven experience building data infrastructures in a cloud-native environment (GCP or AWS).

• Strong expertise in designing, developing and maintaining complex distributed systems in a large scale production environment.

• In depth understanding of Elasticsearch or Solr or underlying Lucene framework.

• Quality first with the ability to effectively collaborate with cross-functional teams.

• Excellent problem-solving and analytical skills, with a track record of delivering high-quality SaaS solutions.

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As a Principal Software Engineer, you will be a full-time Elasticsearch contributor, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. You'll work with a globally distributed team of experienced engineers focused on the search capabilities of Elasticsearch.

You'll be an expert in several areas of Elasticsearch and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.

You'll help us create the future of search within Elasticsearch - building a scalable search tier for our Serverless platform and writing search functionality in ES|QL, our new piped query language as two examples.

You'll work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.

You'll write idiomatic modern Java -- Elasticsearch is 99.8% Java!

We're looking for someone with strong skills in core Java and a conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You should be comfortable developing collaboratively, giving and receiving feedback on code and approaches and APIs.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.

You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before, worked in the search and information retrieval space, or have experience writing code for software-as-a-service or platforms-as-a-service.

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In this role, you will own the quality of results for two distinct but deeply connected 'users': the AI Agent and the Human User. You will optimize the retrieval layer that allows Large Language Models (LLMs) to reason over data they weren't trained on, ensuring they have the 'ground truth' needed to synthesize accurate, high-stakes business actions. You will also improve the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.

This is a challenging problem that requires balancing traditional keyword-based search with semantic vector search. You will fine-tune ranking models that satisfy both human readability and LLM-ready context. You will also connect the dots across structured SQL tables, unstructured docs, and real-time business metrics.

If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let's talk.

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As an Account Executive, you will be responsible for developing and executing a proactive outbound cadence that generates at least 50% of your booked opportunities. You will uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC to chase only the highest-confidence deals. You will craft and deliver tailored narratives and live demos that map Elastic's Search, Observability, and Security capabilities to measurable business outcomes.

You will collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining at least 90% forecast accuracy within ±10%. You will lead high-stakes contract and pricing discussions, defend your value, structure give/get trades, and land multi-year consumption commitments.

You will position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. You will work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

In this role, you will require proven SaaS quota-carrying success, expert discovery and qualification skills, compelling value storytelling abilities, strong negotiation chops, and technical and cloud fluency. You will also need a collaborative mindset and coachability, as well as a genuine appreciation for open-source communities and the Elastic model.

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Design, build, and deploy complex distributed systems. Build 3rd party integrations with major conference providers using SDKs.

7+ years of software development experience using Python. Proven experience with distributed systems software design. Good knowledge of RESTful API Standards. Proven experience in distributed microservices development. Experience with cloud-based infrastructure (AWS/GCP). Knowledge of industry best practices for package management, and their release cycles (CI/CD). Experience with NoSQL (Mongo/Elastic Search) and SQL. High personal and leadership skills. Strong communication skills (English).

If you are in charge, take initiative, get stuff done individually, we want to talk to you!

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Bạn sẽ phải chịu trách nhiệm về tăng trưởng doanh thu dịch vụ công cộng ở Đức, xây dựng và thực hiện chiến lược dịch vụ cho khu vực này, duy trì dự báo chính xác và quản lý các khoảng trống trong dòng tiền, lãnh đạo vòng đời đề xuất và đàm phán dịch vụ, phát triển các dịch vụ có hướng kết quả và tạo ra các tuyên bố về công việc hấp dẫn.

Để thành công trong vai trò này, bạn cần đạt được mục tiêu doanh thu và tăng trưởng dịch vụ công cộng, đảm bảo thực hiện các dự án công cộng ở Đức theo đúng thời hạn, chi phí và sự hài lòng của khách hàng.

Nhiệm vụ chính

• Chịu trách nhiệm về tăng trưởng doanh thu dịch vụ công cộng ở Đức.
• Xây dựng và thực hiện chiến lược dịch vụ cho khu vực này.
• Duy trì dự báo chính xác và quản lý các khoảng trống trong dòng tiền.
• Lãnh đạo vòng đời đề xuất và đàm phán dịch vụ.
• Phát triển các dịch vụ có hướng kết quả và tạo ra các tuyên bố về công việc hấp dẫn.
• Đảm bảo thực hiện các dự án công cộng ở Đức theo đúng thời hạn, chi phí và sự hài lòng của khách hàng.

Yêu cầu

• Có ít nhất 8 năm kinh nghiệm trong lĩnh vực dịch vụ chuyên nghiệp, chương trình vận hành hoặc các vai trò trước bán hàng trong môi trường công nghệ doanh nghiệp.
• Có kinh nghiệm làm việc với các tổ chức công cộng Đức (các bộ, cơ quan nhà nước, hoặc các tổ chức được quản lý).
• Có kinh nghiệm về sở hữu thương mại các mục tiêu doanh thu dịch vụ, bao gồm dự báo và các cuộc đàm phán phức tạp về hợp đồng.
• Có nền tảng vững chắc trong việc cung cấp các giải pháp công nghệ trong các lĩnh vực tìm kiếm, quan sát, phân tích dữ liệu hoặc an ninh.
• Có kinh nghiệm quản lý các dự án song song với sự giám sát và rủi ro.
• Có khả năng nói và viết tiếng Đức và tiếng Anh.
• Có khả năng di chuyển lên đến 50% trong Đức (và đôi khi quốc tế).

Yếu tố mong muốn

• Có kiến thức về Elasticsearch và các công nghệ liên quan (Linux, NoSQL, hệ thống phân phối).
• Có chứng chỉ PMP, PRINCE2 hoặc Scrum Master.
• Có kinh nghiệm làm việc như một chuyên gia tính phí hoặc quản lý dự án.
• Có khả năng được cấp giấy phép an ninh Đức nếu cần.

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Key responsibilities include:

• Design and building of tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale.
• Defining methodologies and guidelines for performance benchmarking servicing development teams and solution architects.
• Play a lead role in cross-functional team efforts and engagements.
• Mentoring and advising team members on proposed technical solutions.
• Developing reporting for and interpreting of benchmarking results.
• Investigate and assist in resolving performance escalations and capacity planning issues.
• Address and devise solutions for benchmarking disparate use cases and workloads.

Requirements include:

• Software development experience with Python and Linux shell required (Expert Level).
• Familiarity with Linux system-level performance measurement and associated tooling.
• Prior experience in the troubleshooting and root cause analysis of performance issues in complex distributed architectures.
• Prior experience with CI/CD pipelines and automating process workflows.
• Experience in cloud architectures, service models, and operating across multiple cloud service providers, assessing tradeoffs from both performance and deployment perspectives.
• Ability to multitask, effectively manage your time, and collaborate with team members globally across time zones.
• Familiarity with measuring performance and sizing in Linux VM and container environments.
• Experience with performance tuning of Java applications and JVMs.

Bonus points for prior experience with large, distributed search engines and in developing and tuning queries, familiarity with the Elasticsearch Query API and building Kibana dashboards, cloud orchestration with Kubernetes, and experience applying the use of Artificial Intelligence (AI) for devising and expanding benchmarking practices and enhancing benchmarking tooling.

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You'll design and develop greenfield backend services that close competitive gaps and position GitLab as a single platform for enterprise security, directly shaping how thousands of organisations understand and manage their security posture at scale.

Working closely with a distributed team of 8 engineers, a Product Manager, and a UX designer across the US, Israel, and India, you'll own critical backend systems and APIs that power capabilities like a new Security Manager role system, asset inventory with posture sharing, logical asset gathering with statistics, and unified configuration for GitLab's security tools.

Some examples of our projects:

• Building a new Security Manager role system to centralise and streamline security administration

• Creating assets inventory and posture sharing capabilities, including logical asset gathering and unified configuration for all GitLab security tools

Design and develop next-generation Security Platform Management capabilities that strengthen GitLab's enterprise security offering

Build and optimise scalable backend services and data models in Ruby on Rails with PostgreSQL for large volumes of security data

Develop and maintain robust REST and GraphQL APIs that power security workflows across the GitLab platform

Collaborate with Infrastructure, Policies, and Security Insights teams to deliver cross-functional security features end to end

Implement and refine unified configuration mechanisms for GitLab's suite of security tools to simplify management at scale

Work within focused, feature-specific squads to deliver high-impact, well-tested functionality with minimal context switching

Contribute to technical design decisions, code reviews, and standards that shape the architecture of GitLab's security platform

Proficiency in backend development with Ruby on Rails, including building and maintaining production services

Experience designing and optimising PostgreSQL schemas and queries for large-scale data

Experience building and maintaining REST and GraphQL APIs that integrate with complex products or platforms

Familiarity with Git-based workflows and continuous integration and delivery (CI/CD), ideally using GitLab

Knowledge of Elasticsearch and NoSQL database technologies, or interest in learning and applying them

Experience working in collaborative, cross-functional teams with product management and design

Ability to work autonomously in an all-remote, asynchronous environment while staying aligned with team goals

Interest in security domains and in building scalable, reliable solutions for enterprise customers, with openness to transferable experience from related areas

The Security Platform Management team sits within GitLab's Security Risk Management area and is responsible for building new platform capabilities that help enterprises understand, manage, and improve their security posture inside GitLab.

Our team consists of 8 backend engineers, 1 Product Manager, and 1 UX designer distributed across the US, Israel, and India, and we collaborate asynchronously and organise into feature-specific squads to deliver focused outcomes.

We own initiatives such as the new Security Manager role system, security assets inventory with posture sharing, logical asset gathering and statistics, and unified configuration for GitLab's security tools.

Our main opportunity is greenfield: we are designing and shipping net-new enterprise security solutions rather than maintaining legacy systems, and defining how large organisations use GitLab to secure applications at global scale.

The base salary range for this role's listed level is currently for residents of the United States only.

This range is intended to reflect the role's base salary rate in locations throughout the US.

Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location.

The base salary range does not include any bonuses, equity, or benefits.

See more information on our benefits and equity.

Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range $98,000-$210,000 USD

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We are looking for a Staff Software Engineer, Security to join our Security Engineering group. As a Staff Software Engineer, Security, you will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction.

Responsibilities ---------------

• Act as a liaison between the engineering and security org to develop innovative requirements for the security roadmap.
• Evangelize security best practices across the engineering org.
• Research, design, implement and own security oriented frameworks and features with the common goal of protecting Okta’s customers.
• Routinely participate in cross-vertical code reviews with emphasis on Security.
• Break down complex problems into sub-tasks while prototyping rapidly and iteratively contributing to security initiatives using agile practices.
• Coach and mentor junior engineers in the team.

Preferred Qualification and Abilities -----------------------------------

• 7+ years of development experience in designing and implementing software systems in Java, building highly reliable and mission-critical software.
• 3+ years of work experience in designing and implementing security solutions for applications and distributed systems.
• Work experience and excellent understanding in mitigating OWASP Top 10 attacks on applications, Application Security, Cryptography, Authentication, Authorization using Role-Based and Attribute-Based access controls.
• Strong understanding of concepts such as Test-Driven development, Secure SDLC, Secure code reviews and the ability to identify and mitigate threat vectors and vulnerabilities in code and infrastructure.
• Good understanding and experience in using cloud service providers such as AWS and GCP.
• Developing and maintaining technical documentation such as cookbooks, design and architecture docs.
• Troubleshooting and fixing production issues to ensure reliability, security and performance.
• Work experience in using RDBMS like MySQL, good grasp of concepts such as replication and clustering along with familiarity in data stores such as Redis and Elasticsearch.
• Excellent grasp of software engineering principles coupled with strong written and verbal communication skills.
• B.S or M.S in Computer Science or related fields.

The Okta Experience ------------------ Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community

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You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices.

Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure.

You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.

CoreWeave is looking for a talented software engineer to join our Observability team. You will be responsible for designing, building, and maintaining scalable systems that process and surface telemetry data across distributed environments.

The ideal candidate will have experience with Go and Python, as well as a strong understanding of system reliability and observability best practices.

In addition to your technical skills, you should be able to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

If you're passionate about building scalable systems and improving system reliability, we'd love to hear from you!

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Key responsibilities include collaborating with product management, product design, and multiple teams across Elastic to define and evolve the end-to-end experiences for Observability. You will also be a contact point for other teams within Elastic, providing hands-on support and guidance. Additionally, you will help the team define coding practices and standards, foster a culture of mutual respect, collaboration, and consensus-based decision-making, and stay true to the principles of software development as adopted by the team.

The ideal candidate will have experience leading technical projects in the data and enterprise architecture areas, with a proven knowledge in building and running sophisticated technical infrastructures and engineering sound software systems. They should also have hands-on experience using and developing Observability tools, preferably in the Logs space, and experience mentoring expert engineers, providing technical and professional guidance. Furthermore, they should be able to define a long-term technical vision for an area of a data-intensive application, working across teams and organizations to collaboratively build the technical roadmap.

Bonus points for experience as a user of the Elastic Stack and experience in SRE roles.

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You will be responsible for shaping customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas. This will involve collaborating closely across the platform, product, infrastructure, and research organisations.

Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure
• Defining and owning the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments
• Collaborating closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery
• Driving architectural decisions and product design for managed GPU training at scale
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact

We are looking for someone with 8+ years of software engineering experience, with 3+ years in engineering management. You should have a track record of building and operating managed GPU training infrastructure at scale, as well as deep familiarity with distributed training frameworks and parallelism strategies.

In addition, you should have experience with training resilience patterns, such as checkpointing, elastic training, and automated failure recovery for long-running jobs. You should also have a strong understanding of GPU performance fundamentals, including NCCL, interconnect topologies, and memory optimisation.

Experience building platform products with clear SLAs is also essential, as is strong cross-functional leadership across platform, product, and research teams. Excellent collaboration and communication skills are also required.

The pay range for this role is $228,600-$314,250 USD per year, depending on location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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The ideal candidate will have a strong background in information retrieval, machine learning, and software engineering. You will be working on a highly complex and challenging problem, balancing traditional keyword-based search with semantic vector search, and fine-tuning ranking models to satisfy both human readability and LLM-ready context.

Responsibilities:

• Own the quality of results for our AI agents and human users
• Optimize the retrieval layer for LLMs to reason over data they weren’t trained on
• Improve the traditional search experience for employees to find assets and answers through intuitive, high-recall interfaces
• Build the guardrails and relevance scoring to ensure our AI stays grounded in reality

Requirements:

• Strong background in information retrieval, machine learning, and software engineering
• Experience with Lucene/Elasticsearch, embeddings, and ranking algorithms
• Understanding of relevance metrics (nDCG, MRR, Precision@K)
• Ability to work on a highly complex and challenging problem

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunity to work on a highly complex and challenging problem
• Collaborative and dynamic work environment

About Databricks:

Databricks is a data and AI company that provides a platform for unifying and democratizing data, analytics, and AI. Over 10,000 organizations worldwide, including many Fortune 500 companies, rely on Databricks.

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We are looking for a delivery architect that demonstrates visionary leadership by orchestrating and implementing Elastic solutions, generating customer business value from our products. Grouping responsibilities in the following areas:

Assess and Design

• Thoroughly analyze and understand customer business pain points and intricate technical challenges
• Gather requirements in complex enterprise customer environments
• Master Elastic solution architectural design on platforms integrating with other enterprise technologies
• Create and build out customer road maps
• Demonstrate technical authority by proficiently articulating complex technical solutions in clear language, effectively persuading the audience to embrace recommended best practices while presenting and delivering Elastic's optimal solutions.

Implement and Deliver

• Lead technology workshops that include hands-on mentoring, whiteboarding, and solution development
• Deliver outcome-based solutions
• Lead, hands-on-deploy (from data onboarding, configuration, visualizations, alerting), and seamlessly integrate Elastic products and APIs into intricate platform architectures, harnessing years of technical expertise
• Master data modeling, develop and optimize queries, tune and scale clusters, prioritizing fast search and analytics at scale
• Solve our customers’ most challenging platform, configuration, data and cyber security problems

Grow and Expand

• Orchestrate and implement capacity planning in mission-critical environments
• Perform technical audits, upgrades, platform migrations, and use-case expansion
• Work with and guide our customers along their ever-maturing Cyber journey

Influence and Collaborate

• Work closely with the Elastic Engineering, Product Management, and Support teams to identify feature enhancements, extensions, and product defects
• Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns
• Be a mentor/coach for your fellow Elastic consultants
• Demonstrated ability to communicate to a variety of stakeholders up to the C-suite level

What You Bring Along

• Minimum of 5 years as a Consulting Architect or senior IT functional leadership experience
• History of working as a Consultant delivering professional services engagements
• Strong customer advocacy, relationship-building, presentation and communications skills
• Ability to lead meetings with project owners and C-level stakeholders.
• Ability to articulate the business value of an outcome-based delivery while being technically savvy and hands-on
• Demonstrated experience of technical leadership throughout project lifecycles
• Solid experience deploying Elastic Security solutions or similar domains (Splunk, Arcsight, IBM QRadar). Alternatively, at least 2 years experience working as a Security Analyst, preferably utilising SIEM or endpoint security applications in a Threat Detection and Response focussed role
• Knowledge of the MITRE ATT&CK framework and how it can be applied for Enterprise defence
• Fundamental understanding and experience of security tool capabilities
• Understanding and passion for cyber security and open-source technology
• Hands-on experience in on-prem systems and/or public/private cloud platforms like AWS, Azure, GCP, Openstack
• Hands-on experience in Linux
• Good understanding of networking, security, containerization, serverless, DevOps in system landscapes and infrastructure automation knowledge.
• Experience utilising programming or scripting languages in a corporate environment like Python, Javascript, Go or Chef/Puppet etc.
• Understanding of databases
• Ability and willingness to travel from time to time as required
• Comfortable working remotely in a highly distributed team

Bonus Points

• BS in Computer Science or related Information Security / Cybersecurity field
• Certifications and specialized training in Information Security and Cybersecurity
• Deep understanding of Enterprise cyber defence in large networks
• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• Experience working closely with a pre-sales organization in scoping the needs of Customers
• Experience with Statement of Work delivery
• Experience with both Agile and Waterfall methodologies
• Experience contributing to an open-source project or documentation
• Endpoint tool skills and experience ingesting network feeds into Elastic for security purposes
• Experience as a Software Engineer, System Administrator, or DevOps Engineer

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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You will have the opportunity to work with a tremendous services, engineering and sales team and wear many hats. This is a critical role, as Consultants have an amazing chance to make an immediate impact on the success of Elastic and our customers.

Given the opportunity and the organisations that you will be working with, you must be a current holder of Security clearance.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• The ability to easily pivot from delivery to strategic engagements with customers
• To work with the wider Elastic organisation to support the customer’s goals, their strategic requirements and their journey with Elastic.
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders either in one or a number of customers with common goals.
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers’ most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions.
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

What You Bring Along:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years’ experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life,map

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This role includes providing technical vision and direction for building solutions that provide optimized storage and efficient data querying and indexing. This role requires related past technical experience in addition to the ability to work cross-organisation.

Our company is distributed by intention. We hire the best developers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

As a Principal Software Developer, you will lead cross-organisational initiatives to produce an industry-leading Timeseries solution offering. You will contribute to Elasticsearch full time, building data-intensive new features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to implement a data structure or algorithm in the code base. And there will be times when you'll need to get close to the operating system and hardware.

You will work with a globally distributed team of experienced engineers focused on the logs and metrics capabilities of Elasticsearch. You will be an expert in several areas of Elasticsearch and everyone will turn to you when they have a question about them. You'll improve those areas based on your questions and your instincts.

You will work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself. You will write idiomatic modern Java -- Elasticsearch is 99.8% Java!

We're looking for someone who has implemented novel techniques to efficiently index, store and query Timeseries data. You should have strong technical leadership skills, work with a high level of autonomy, and be able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.

You should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer features like lambdas. You should have a strong desire to optimise and make use of the most efficient data structures and algorithms.

You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder but we do it anyway because it's the best way we know how to build software.

You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus points if you've built things with Elasticsearch before. Bonus points if you've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.

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Key responsibilities include being a contact point for other teams within Elastic, fostering a culture of mutual respect, collaboration, and consensus-based decision-making, and being an awesome person to work with.

To be successful in this role, you will need to have a SRE background and experience operating large-scale production services with the help of Observability tools. You should be proficient in operating production infrastructure in K8s and at least one of the three major CSPs, as well as using Observability tools. You will also need to be able to use AI coding agents in the delivery workflow and have excellent verbal and written communication skills.

Bonus points will be given to those with experience as a user of the Elastic Stack.

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As a Mid Market Account Executive, you'll be responsible for developing and executing an appropriate outbound cadence that generates ≥50 % of your booked opportunities. You'll uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

You'll craft and deliver tailored narratives and live demos that map Elastic's Search, Observability, and Security capabilities to measurable business outcomes. You'll collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %. You'll lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.

You'll position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. You'll work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

To succeed in this role, you'll need proven SaaS quota-carrying success, expert discovery and qualification skills, compelling value storytelling abilities, strong negotiation chops, and technical and cloud fluency. You'll also need a collaborative mindset and coachability, as well as a genuine appreciation for open-source communities and the Elastic model.

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Key responsibilities include:

• Design and building of tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale.

• Defining methodologies and guidelines for performance benchmarking servicing development teams and solution architects.

• Play a lead role in cross-functional team efforts and engagements.

• Mentoring and advising team members on proposed technical solutions.

• Developing reporting for and interpreting of benchmarking results.

• Investigate and assist in resolving performance escalations and capacity planning issues.

• Address and devise solutions for benchmarking disparate use cases and workloads.

This role requires software development experience with Python and Linux shell, familiarity with Linux system-level performance measurement and associated tooling, prior experience in the troubleshooting and root cause analysis of performance issues in complex distributed architectures, and experience in cloud architectures, service models, and operating across multiple cloud service providers.

In addition to cash compensation, this role is currently eligible to participate in Elastic's stock program and has a company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings.

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We're looking for a collaborative and strategic Field Marketing Manager to lead our public sector marketing efforts across the EMEA region. In this role, you'll develop and implement integrated field marketing plans that support our regional sales teams in engaging with government, defence, education, and healthcare partners.

Key Responsibilities

• Work with the AVP for Public Sector International to develop and deliver the Public Sector GTM in EMEA, with focus on Defence
• Own the EMEA Public Sector Marketing Strategy, building and executing field marketing plans tailored to public sector buyers, aligning with regional business priorities and Elastic's broader go-to-market strategy
• Collaborate with regional public sector account teams on account-based marketing (ABM), pipeline acceleration, lead follow-up, and bespoke campaigns
• Partner closely with customers to deliver joint success with them and their stakeholders
• Localise and activate global campaigns, adapting Elastic's global messaging and programs to regional public sector audiences
• Plan and deliver high-impact events, leading strategy and execution for public sector events that drive engagement and pipeline
• Collaborate with partner marketing to co-create campaigns with key SIs, resellers, and distributors focused on the public sector
• Identify and support public sector customers willing to share their stories through webinars, case studies, speaking opportunities, and press
• Measure, learn, and improve, analysing campaign and program effectiveness, tracking critical metrics and pipeline influence, and iterating based on data-driven insights

Requirements

• 7+ years of field or regional marketing experience, preferably within a high-growth tech/SaaS environment
• Experience marketing to or within the public sector (government, defence, education, or healthcare) in EMEA , ideally in more than one market (e.g., UK, DACH, France, Nordics, or Benelux)
• Strong understanding of public sector buying cycles, compliance constraints, and how to engage stakeholders across different levels of government
• Proven track record of building field marketing programs that influence pipeline and support sales goals
• Hands-on experience with virtual and physical events, digital marketing tactics, and campaign execution
• Ability to manage multiple projects in a distributed team environment with agility and autonomy
• Familiarity with marketing and sales tools (e.g., Salesforce, Marketo, ON24, Splash, Tableau)

Bonus Points

• Experience with Elastic's solutions (Search, Observability, Security) or open source technology
• Passion for mission-driven customers and helping public sector organisations modernise with data!

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Key responsibilities include: Acting as a technical product marketing lead for Elastic platform, and taking ownership of the strategy to drive awareness and market penetration of key capabilities Serving as an internal authority on the developer and SRE personas Crafting compelling, technical and differentiated outbound product messaging and content Enabling the field on our solutions, through training and content Building and implementing plans to reach and champion relationships with our developer and technology partner ecosystem Planning and implementing product launches, including creating launch materials and content to support and coordinate with team members Building a positive partnership with peers in Product Management, Engineering and Community to effectively launch new features and products and engage with users Attending and presenting at Elastic events, third party trade shows and other events to help showcase our products to technical audiences.

Requirements include: 7-10 years of experience in product marketing in a technical environment Proven track record of effectively marketing technical products to developers or technical audiences Curiosity about the “how” of technology to tell compelling stories about the “why” Ability to work in a very cross functional role, with a highly distributed team Experience driving a GTM and crafting high quality assets Excellent spoken and written communication skills

Bonus points include: Direct experience with developers, and audiences that build applications Product marketing experience with technical AI, SaaS or infrastructure products preferred Experience crafting engaging content for developers, including blog posts, decks, videos, etc. Comfortable marketing to technical leaders Familiarity with Elasticsearch, Elastic Platform or our solutions

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Strong customer advocacy, relationship building, and communications skills are essential for this role. You will need to be able to easily pivot from delivery to strategic engagements with customers. You will work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• Ability to easily pivot from delivery to strategic engagements with customers
• Work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers' most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

Requirements:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding current UK security clearance, or has previously held security clearance, or is willing to undergo security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java, and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS, or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

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Your primary focus will be on building the platform and components that enable customers to gain insights from their data. This team builds and maintains the infrastructure that integrates advanced analytics and machine learning components into the distributed Elastic platform, making these available for our Search, Observability, and Security Solutions.

Key responsibilities include:

• Building and maintaining Machine Learning and advanced analytical platform components.
• Implementing scalable, high-quality, well-architected code.
• Collaborating with other engineering teams within Elastic that build on our platform.
• Assisting our support engineers and community.
• Promoting knowledge sharing and collaboration in a distributed team.

To succeed in this role, you should have strong skills in core Java and be conversant in the standard library of data structures and concurrency constructs, as well as newer language features. You should also have a deep technical proficiency in algorithms and professional experience in leading the development of Machine Learning components.

Bonus points for experience with the Elastic Stack, C++, Python/Go, and open-source experience.

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This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration,and is critical to our growth in the Enterprise segment.

Key Responsibilities:

Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

Executive negotiation & closing: Lead high-stakes contract and pricing discussions,defend your value, structure give/get trades, and land multi-year consumption commitments.

Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

Requirements:

Proven SaaS quota-carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model,bonus if you’ve sold or advocated in an OSS context.

Bonus Points:

Prior experience at an open-source or developer-centric infrastructure company.

Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

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The ideal candidate is an Elastic product expert (including but not limited to Agent Builder and Workflows), using the full power of the Elastic Stack to provide the 'brain' and 'memory' for our agentic ecosystem.

As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data.

The Elastic family unites employees across 40+ countries into one coherent team, while the broader community spans across over 100 countries.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.

• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.

• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.

• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.

• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.

• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.

• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.

• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.

• Minimum 1 year experience building with the Elastic Stack.

• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.

• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.

• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.

• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents).

• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.

• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.

• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.

• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.

• Strong communication skills with the ability to translate business requirements into technical agent architectures.

• A commitment to Ethical AI and responsible development practices.

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Knowledge of DevOps practices for model deployment and automation.

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Key responsibilities will include:

• Managing and mentoring a team of engineers to deliver high-quality software
• Collaborating with product managers to define requirements and develop roadmaps
• Fostering a culture of mutual respect, collaboration, and consensus-based decision-making
• Building and maintaining relationships with cross-functional teams

To succeed in this role, you will need to have experience leading distributed teams of software engineers, strong communication skills, and the ability to work in a fast-paced environment.

Additional responsibilities may include:

• Identifying resource requirements and helping drive recruitment of high-quality colleagues
• Supporting the development and training of direct reports through regular 1:1s and career conversations
• Being a great person to work with, someone who sincerely empathizes with others

If you have significant experience as a hands-on software engineer, experience working in Lucene or Solr, open-source experience, prior professional exposure to Elasticsearch, and hands-on experience with Docker and Kubernetes, you will be at an advantage in this role.

In terms of compensation, this role has a base salary with no variable compensation component. The typical starting salary range for new hires in this role is $128,300-$203,000 CAD.

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As the company behind the popular open-source projects , Elasticsearch, Kibana, Logstash, and Beats , we help people around the world do great things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots.

Responsibilities

• Agentic Strategy & Design: Invent and implement sophisticated agentic workflows that use reasoning and tools to complete end-to-end business processes.
• Enterprise Grounding: Apply Retrieval Augmented Generation (RAG) and the Elasticsearch Relevance Engine (ESRE) to ensure agents are deeply grounded in enterprise knowledge for high-accuracy task completion.
• AI Model & Tool Integration: Develop and fine-tune LLMs and integrate them with internal APIs and third-party SaaS tools to enable autonomous action.
• Scalable Infrastructure: Firm understanding of cloud-based environments (AWS, Azure, GCP) in order to support the high-concurrency demands of enterprise agents.
• Lifecycle Management: Oversee the training, deployment, and performance optimization of agents, ensuring they remain secure, reliable, and compliant.
• Technical Leadership: Act as a domain expert on the Elastic Stack, making technical recommendations that push the boundaries of AI-driven productivity.
• Documentation: Maintain comprehensive documentation of AI workflows, cloud infrastructure, and deployment processes.
• Security: Implement standards for security and data privacy to protect sensitive information and ensure compliance with relevant regulations.

Requirements

• 3-5 years of work experience in a relevant field.
• Minimum 1 year experience building with the Elastic Stack.
• Knowledge of Elasticsearch Relevance Engine (ESRE), Jina AI, and advanced RAG patterns is critical.
• Proven success in delivering independent GenAI projects, specifically those involving autonomous task completion or complex workflow automation.
• Agentic Frameworks: Familiarity with LangGraph, LangChain, and LangSmith for building and debugging multi-agent systems.
• Expertise in Enterprise Agentic & Workflow Platforms: Deep familiarity with leading agentic AI and workflow automation platforms (such as Microsoft Copilot Studio, Salesforce Agentforce, ServiceNow AI Agents.)
• Market Trend Integration: Proven ability to apply emerging market trends,such as Multi-Agent Orchestration and Model Context Protocol (MCP),to build high-impact, cost-optimized solutions that scale across the enterprise.
• Programming: Experience with Python or TypeScript for backend logic and agent orchestration.
• Cloud & Orchestration: Familiarity with Kubernetes (Operators/Controllers), Docker, and Terraform for automated deployment.
• Model Expertise: Hands-on experience with LLM providers.

Bonus Points

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• Strong communication skills with the ability to translate business requirements into technical agent architectures.
• A commitment to Ethical AI and responsible development practices.
• Experience with containerization and orchestration (e.g., Docker, Kubernetes).
• Knowledge of DevOps practices for model deployment and automation.

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We build everything from foundational infrastructure that extends Elasticsearch, to user-facing features like Agent Builder that enable customers to create powerful search and Agentic experiences. You'll be the technical leader shaping the architecture and vision for Elastic's Search products, ensuring that using Elasticsearch for building applications, Agents, or as a context engineering Platform is easy to get started with and operate, while preserving the flexibility to configure every aspect of search & relevance.

Responsibilities

• Own and evolve the architecture and roadmap for Search, Context Engineering, and Agent Building.
• Define and enhance the end-to-end developer and user experience across use-cases
• Collaborate with the team owning Elasticsearch and other engineering teams across Elastic to align priorities and make smart technology and design choices.
• Lead technical discussions with partners and customers to ensure our solutions meet real needs.
• Review and advise implementation designs.
• Evangelize the Search roadmap internally and externally.
• Mentor engineers and foster technical excellence.

Requirements

• Proven experience as technical leader for large, complex engineering teams and projects.
• Deep expertise in Java/JVM, search technologies, context engineering, experience building complex distributed systems, or understanding of the inner workings of databases/data stores
• Passion about Search
• Ability to reason about architecture at both high and detailed levels
• Hands-on experience: comfortable coding, reviewing PRs, and staying close to the team’s work
• Excellent communicator, collaborator, and problem solver
• Operates with high autonomy

Bonus Points

• Extensive technical leadership in search.
• Experience with the Elastic Stack.
• Built search products at scale.
• Open-source project leadership or major contributions.

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Responsibilities

• Build, enhance, and maintain data ingestion and transformation pipelines
• Develop and optimize analytics datasets using BigQuery and dbt
• Support and maintain existing data systems as needed to ensure continuity and data reliability
• Design scalable data models that enable trusted analytics and reporting
• Partner with product managers, analysts, and solution teams to translate ambiguous requirements into effective data solutions
• Monitor data quality and system health to ensure accurate, timely insights

Requirements

• Strong experience with SQL and Python
• 3+ years of experience in Data Engineering, preferably on Google Cloud Platform (GCP)
• Experience designing and operating production data pipelines at scale
• Good knowledge of architecture and design (patterns, reliability, scalability, quality) of complex systems
• Familiarity with BigQuery and modern ELT tools (e.g., dbt)
• Experience with AI tools and workflows
• Strong analytical and problem-solving skills
• Clear written and verbal communication skills

Bonus Points

• Experience with Buildkite and Terraform
• Experience with Dataflow on GCP
• Experience with Elasticsearch
• Experience with Kubernetes

Additional Information

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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We value individuals who are passionate about staying at the forefront of technology trends with a growth mindset and excited to learn and implement new technologies. While previous experience with Elastic solutions is not a prerequisite, an eagerness to adopt our suite of solutions and apply them effectively to solve our customers' challenges is critical.

This key role involves not only driving the consumption of our Elastic solutions by aligning them with customer business objectives but also onboarding customers, securing adoption, and facilitating expansion. As a Customer Architect, you will be the Trusted Technical Advisor, working in tandem with the customer and complementary groups like Field and Services Teams to ensure that Elastic solutions are exceeding customer’s expectations.

Your technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio.

In your role, a crucial part of your responsibility is defining and communicating the technical success criteria for our customers. This involves crafting detailed Technical Success Plans tailored to the specific customers goals and critical metrics.

The Technical Success Plans act as a roadmap, outlining the optimal consumption and deployment of Elastic solutions in the customer's environment. They detail the necessary steps for implementation, highlight achievements for successful consumption or expansion, and provide and effectiveness aligned to the customer’s business goals.

By actioning this plan , you will be seen as the trusted advisor, guiding the customer towards achieving their desired outcomes, thereby ensuring their success and satisfaction.

From providing technical guidance and sharing standard methodologies to aligning technical objectives with the customers' business goals, your work is instrumental in facilitating smooth adoption, sustained usage, and increased consumption of our solutions.

This hands-on role requires you to be proactive, with a keen understanding of our customers' technical landscape and a commitment to making their journey with Elastic solutions successful and valuable.

Your chief aim will be to ensure the customer derives significant value, eliminate technical frictions, and propel the uptake and application of Elastic solutions, with the ultimate goal of growing annual recurring revenue (ARR).

What Will You Be Doing

Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals.

Define the technical success plan for each customer, outlining the optimal use of Elastic solutions to achieve their business objectives.

Ensure a successful technical customer journey, from onboarding to adoption, while continuously driving the consumption of Elastic solutions.

Understand and articulate the value proposition of Elastic solutions and align them with the customer's business goals.

Work closely with customers to identify and eliminate technical frictions, promoting a smoother adoption and implementation of Elastic solutions.

Liaise between customers and support, as necessary, to ensure an optimized support resolution experience smoothing the adoption curve for the customer.

As a hands-on technical authority, collaborate with the Service Team to deliver personalized, frictionless solutions that meet the unique needs of each customer.

Develop a comprehensive understanding of the customer's business needs and translate these into technical requirements for Elastic solutions.

Find opportunities for expansion, at which point the account team takes over to expand the subscription, aiming to grow annual recurring revenue (ARR).

Foster ongoing customer relationships, ensuring that customers continue to increase their utilization of Elastic solutions, further driving ARR.

Continuously review and assess customer consumption of Elastic solutions, proactively suggesting upgrades and enhancements that increase value and drive further consumption.

The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement

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You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.

You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.

You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.

You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.

You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.

You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.

You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.

You will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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Your technical expertise, eye for business, and ability to deliver value will accelerate and improve the customer experience leading to customer continued satisfaction and expansion within the elastic portfolio. In your role, a crucial part of your responsibility is defining and communicating the technical success criteria for our customers. This involves crafting detailed Technical Success Plans tailored to the specific customers goals and critical metrics.

Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals. Define the technical success plan for each customer, outlining the optimal use of Elastic solutions to achieve their business objectives. Ensure a successful technical customer journey, from onboarding to adoption, while continuously driving the consumption of Elastic solutions.

Understand and articulate the value proposition of Elastic solutions and align them with the customer's business goals. Work closely with customers to identify and eliminate technical frictions, promoting a smoother adoption and implementation of Elastic solutions. Liaise between customers and support, as necessary, to ensure an optimized support resolution experience smoothing the adoption curve for the customer.

As a hands-on technical authority, collaborate with the Service Team to deliver personalized, frictionless solutions that meet the unique needs of each customer. Develop a comprehensive understanding of the customer's business needs and translate these into technical requirements for Elastic solutions. Find opportunities for expansion, at which point the account team takes over to expand the subscription, aiming to grow annual recurring revenue (ARR).

Foster ongoing customer relationships, ensuring that customers continue to increase their utilization of Elastic solutions, further driving ARR. Continuously review and assess customer consumption of Elastic solutions, proactively suggesting upgrades and enhancements that increase value and drive further consumption.

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You'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
• Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
• Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration

Required skills include:

• 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
• Expertise in the Telecommunications domain, especially with Mobile networks and devices.
• Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
• Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
• Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
• Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
• Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
• Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
• Hands-on expertise in distributed systems and large-scale infrastructure.
• Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
• Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
• Strong communication and presentation skills, with experience engaging directly with customers.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
• Comfortable working in highly distributed teams, both remote and on-site when needed.
• May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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Our team is responsible for building the core platform that powers search for Elastic's customers and users for e-commerce, observability, SIEM, and more. We focus on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene, evolving the search tier of our Serverless architecture, and building search functionality in our new piped query language, ES|QL.

As an Engineering Manager, you will participate in roadmap and project planning efforts and will have ownership for delivering it. You'll be participating in project management efforts as the teams complete plans together with the Tech Lead and Product Manager.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack.

At our best, we write fast, scalable, and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

We believe that engineering complex, pluggable software that is built to last the test of time is both tricky and exciting. Doing so requires a team of diverse individuals, with sharp minds and the ability to empathize with our users, working together with mutual respect and a common mission.

We care deeply about giving you full ownership of what you're working on. Our company fundamentally believes great minds achieve greatness when they are set free and are surrounded and challenged by their peers, which is clearly visible throughout our organization.

At Elastic, hierarchy does not determine how decisions get made. We feel that anyone needs to be in the position to comment on anything, regardless of their role within the company.

Responsibilities

• Manage, mentor, and lead a globally distributed team of Java engineers working on search functionality within Elasticsearch.
• Lead the efficient delivery of search enhancements with regular releases of Elasticsearch, ensuring high quality and innovative feature development.
• Work with our product managers to define requirements.
• Foster a culture of mutual respect, collaboration, and consensus-based decision-making.
• Stay true to the principles of software development as adopted by our team.
• Build roadmaps and lead prioritization; balance the right amount of structure and planning for a fast-paced engineering team.
• Identify resource requirements and help drive recruitment of high-quality colleagues.
• Support the development and training of direct reports through regular 1:1s and career conversations.
• Be a great person to work with, somebody who sincerely empathizes with others.

Requirements

• Experience leading distributed teams of software engineers.
• Ability to work in a distributed team throughout the world.
• Strong communication skills, both verbal and written, with the ability to drive conversations across multiple teams to a conclusion.
• Previous experience working with collaborators outside of Engineering.
• You know and care about writing performant software and have traced and fixed performance issues yourself.
• Ability to work in a fast-paced environment.
• Ability to work independently.

Bonus Points

• Significant experience as a hands-on software engineer so you understand the core principles of the engineering work that is going on in your team.
• Experience working in Lucene or Solr.
• Open Source experience.
• Prior professional exposure to Elasticsearch.
• Hands-on experience with Docker and Kubernetes.

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As an Enterprise Account Executive, you'll develop and execute a proactive outbound cadence that generates ≥50 % of your booked opportunities. You'll uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. You'll craft and deliver tailored narratives and live demos that map Elastic's Search, Observability, and Security capabilities to measurable business outcomes.

Key responsibilities include:

• Owning your territory & building pipeline
• Deep discovery & qualification
• Value storytelling & demos
• Mutual deal strategy & forecast accuracy
• Executive negotiation & closing
• Domain & cloud acumen
• Cross-functional partnership

We're looking for someone with proven SaaS quota-carrying success, expert discovery & qualification skills, compelling value storytelling abilities, strong negotiation chops, and technical & cloud fluency. Bonus points for prior experience at an open-source or developer-centric infrastructure company, familiarity with observability or security analytics use cases, and genuine appreciation for open-source communities and the Elastic model.

Compensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 50/50 pay mix (base salary / target variable). The typical starting OTE range for new hires in this role is $226,500-$358,300 USD.

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This is a highly cross-functional role requiring deep technical knowledge of aeroelastic theory, loads derivation, and flight vehicle behavior. You'll collaborate closely with structural design, aero, GNC, and test engineering teams to ensure load paths are accurate, traceable, and validated through test or simulation.

Key responsibilities include:

• Developing aerodynamic and structural load envelopes for the full vehicle, from clean-sheet through flight test
• Leading maneuver, gust, landing, and ground loads analyses, including both quasi-static and dynamic cases
• Coordinating closely with GNC, aero, and structural teams to define load cases tied to mission profiles and flight control behaviors
• Developing and validating loads models using tools like NASTRAN, FEMAP, MATLAB, or custom Python/Simulink scripts
• Supporting the sizing and analysis of critical structural components through detailed load maps and V-n diagrams
• Conducting aeroelastic stability assessments, including divergence and control reversal checks
• Leading traceability of loads inputs/outputs across ICDs, FEA models, and design justification documents
• Interfacing with test engineering to support strain gauge placement, instrumentation plans, and correlation of in-flight data
• Authoring and presenting loads documentation for reviews, compliance, and technical buy-in
• Supporting the long-term refinement of loads methodologies and automation across the aerostructures team

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights-based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data.

Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows.

We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset.

Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team.

We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them.

You will be in a high-impact role that will directly enable business leaders to make faster and more informed business judgments based on the datasets you build.

You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on.

You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team.

You will collaborate with and have strong and cross-functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc.

Responsibilities

• Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.

• Have data quality and performance top of mind while designing datasets

• Leading key data engineering projects that drive collaboration across the company.

• Advocating for adopting industry tools and practices at the right time

• Owning core SQL and python data pipelines that power our data lake and data warehouse.

• Well-documented data with defined dataset quality, uptime, and usefulness.

Qualifications

• 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale.

• You've have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes)

• You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow.

• You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks.

• You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka.

• You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data.

• You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption.

• You like to get deep in the weeds to manage, deploy, and improve low-level data infrastructure.

• You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs.

• You are a champion for data privacy and integrity, and always act in the best interest of consumers.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

We are always looking for team members that will bring something unique to Plaid!

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics.

We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws.

Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com

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Responsibilities:

• Design and implement core backend services and data pipelines.
• Perform data-driven research using big data and leveraging Data Science toolset
• Document design choices and operational knowledge to successfully deploy and run services.
• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.
• Collaborate within the team and with other engineering teams to build new features and products according to business needs.
• Follow software design and development best practices and promote such practices in the team.

Requirements:

• 5+ years of professional experience working on backend systems in an enterprise environment
• 3+ years experience with data analysis / data science tasks and/or ML
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with AI development tools (especially agentic AI) is a plus
• Experience developing systems based on LLM is a plus
• Understanding of SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with large-scale data processing (Spark)
• Experience with Elasticsearch is a plus
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

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Key Responsibilities:

• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
• Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams.
• Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Embraces rapid prototyping with an emphasis on user feedback.
• Autonomous and excited about taking ownership over major initiatives.

Bonuses:

• Experience building agentic systems or LLM enabled products.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation: The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

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The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Team

The Document Intelligence team at Hebbia builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. Our products, including the Hebbia’s Browse application, enable intelligent document exploration, powerful search capabilities, and deep insights extraction. We focus on developing advanced data ingestion and search technologies that deliver intuitive, explainable, and highly responsive experiences. Working closely with customers, our team continuously iterates to address real-world challenges and drive impactful, data-driven decisions. Our goal is to empower users by seamlessly turning vast and complex document repositories into actionable intelligence.

The Role

Platform engineering at Hebbia is about excellent, scalable enablement. You are responsible for the core distributed systems that power billions of tokens across millions of dollars of AUM. You will be responsible for deploying efficient systems and building software tightly coupled with state-of-the-art infrastructure/system design. Hebbia’s edge is built on operating on the edge of the tokenomics curve and you will serve as a key contributor in this area. We value engineers who think on their feet, innovate and can solve for exponential scale.

Responsibilities

• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

Who You Are

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on distributed systems and platform engineering.
• Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.
• Deep understanding of scalable system design, performance optimization, and resilience engineering.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.
• Proven experience enabling observability patterns.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Autonomous and excited about taking ownership over major initiatives.

Bonuses:

• Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Compensation

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: competitive equity package with unmatched upside potential

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You'll work across systems like Snowflake, S3, SharePoint, and internal customer infrastructure , building pipelines that need to handle real-world complexity: unreliable APIs, evolving schemas, massive datasets, and edge cases that don’t show up in documentation.

This role is hands-on, high-ownership, and deeply technical. You won’t just write code , you’ll develop the instincts to operate and debug complex distributed systems in production.

You will build connectors and ingestion pipelines that bring enterprise data into Hebbia's AI platform, from Snowflake warehouses and SharePoint libraries to live pricing feeds, high-velocity news data, and proprietary customer systems.

You will design and operate pipelines that handle scale, failures, and edge cases gracefully.

You will debug issues across APIs, auth systems, and data formats, often under real-time customer pressure.

You will own reliability end-to-end: monitoring, alerting, on-call, and incident response.

You will improve internal tooling and observability to make systems more robust and easier to operate.

You will partner with product and customer teams to scope, prioritize, and ship the integrations that unlock Hebbia's highest-value use cases.

You will design and ship agents that sit on top of the ingestion layer, making enterprise data accessible and actionable across all of Hebbia's product surfaces , from document analysis to structured query workflows.

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Your responsibilities will include owning critical system components, unlocking O(1) universal indexing, driving performance optimization, and mentoring and guiding junior engineers. You will also collaborate closely with product teams, designers, and frontend engineers to take ownership of core backend features from initial design through deployment.

To succeed in this role, you will need a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, and 5+ years of software development experience at a venture-backed startup or top technology firm. You should be proficient in building backend and API systems using technologies such as Python, Java, or Go, and have extensive experience with cloud platforms (e.g., AWS).

You will also need working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis, and the ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.

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• Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
• Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
• Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.

To succeed in this role, you will need:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
• Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
• Proven experience in leading software development projects and collaborating with cross-functional teams.
• Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
• Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
• Embraces rapid prototyping with an emphasis on user feedback.
• Autonomous and excited about taking ownership over major initiatives.

As a bonus, experience building agentic systems or LLM-enabled products, frequent use of AI products, especially during the development lifecycle, will be highly valued.

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications.

At Hebbia, we offer a range of benefits, including:

• Unlimited PTO
• Medical, dental, and vision insurance
• 401K plan
• Catered lunch daily
• DoorDash dinner credit if you ever need to stay late
• 3 months non-birthing parent leave, 4 months for birthing parent
• $15k lifetime fertility benefit
• Competitive equity package with unmatched upside potential

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We're looking for a Senior Full Stack Engineer to join our QM & Coaching Team. As a key member of our team, you'll play a crucial role in building and scaling the no-code platform that powers Cresta's processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code.

Your responsibilities will include:

• Design, develop, and maintain end-to-end features for Cresta's no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.

If you're passionate about building systems that simplify complex problems and empower users, we'd love to hear from you.

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Paid parental leave to support you and your family. Monthly Health & Wellness allowance. Work from home office stipend to help you succeed in a remote environment. Lunch reimbursement for in-office employees. PTO: 3 weeks in Canada.

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We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!

Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse, and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Perks & Benefits:

• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 28 days in Germany

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You are a passionate and experienced cybersecurity professional with a keen eye for detail and a deep understanding of threat detection and mitigation. You thrive in fast-paced, collaborative environments and are energized by the challenge of staying ahead of evolving cyber threats. Your technical expertise spans across log aggregation platforms like Elastic, scripting languages such as Python, and enterprise SIEMs. You have a strong grasp of threat actor techniques, vulnerabilities, and exploits, and you leverage frameworks like Mitre ATT&CK to inform your detection strategies.

You are committed to continuous learning, regularly updating your knowledge to remain at the forefront of cybersecurity advancements. Your analytical mindset enables you to dissect complex security incidents and identify patterns that others might miss. You value clear documentation and process consistency, ensuring that your work can be easily understood and replicated by your peers.

You are a natural communicator, able to articulate security concepts to both technical and non-technical stakeholders. Your collaborative spirit drives cross-functional engagement, enhancing the organization’s security posture. With a high tolerance for autonomy, you are comfortable taking initiative and leading projects to completion. Certifications such as CISSP, GCIH, GCFE, GCFA, or GMON are a testament to your dedication, but your practical experience is what truly sets you apart.

You will be responsible for building detection logics using log aggregation platforms like Elastic in large enterprise environments, maintaining and improving existing detection tools and systems to ensure optimal performance and reliability, creating and maintaining documentation for detection processes and procedures to ensure clarity and consistency, utilizing your knowledge of threat actor techniques, vulnerabilities, and exploits to identify and help mitigate potential security risks, collaborating with cross-functional teams to enhance overall security posture and response strategies, staying up-to-date with the latest advancements in cybersecurity to continuously improve detection capabilities.

By joining our team, you will enhance the security posture of Synopsys by identifying and mitigating potential threats, contribute to the development and maintenance of robust detection tools and systems, improve the efficiency and effectiveness of security operations through automation and scripting, provide valuable insights and recommendations to enhance overall security strategies, support the continuous improvement of detection processes and procedures, and elevate the organization's resilience and readiness against emerging cyber threats.

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Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

As an Online Backend Software Engineer in Gameplay Services, your focus will be on designing and implementing scalable, distributed backend systems that power our matchmaking, integrated in EA’s biggest titles and enjoyed by millions of players worldwide. You will collaborate closely with your team and partner studios to maintain, enhance, and extend our core services.

Responsibilities:

• Design brand new services covering all aspects from storage to application logic to management console
• Enhance and add features to existing systems
• Research and select new best-of-breed technologies to meet challenging requirements
• Communicate with engineers from across the company to deliver the next generation of online features for both established and not-yet-released games
• Aim to optimize performance and scalability of server systems
• Be a part of the full product cycle for our products, from design and testing to deployment and supporting our LIVE environments and our game team customers
• Maintain a suite of automated tests that validate the correctness of backend services
• Build and maintain a build system
• Advocate for best practices within the engineering team
• Work with product managers to improve new features to support EA’s business

Qualifications:

• Bachelor/Master's degree in Computer Science, Computer Engineering or related field
• 2+ years professional programming experience with Go/C#/C++
• Experience with cloud computing products such as AWS EC2, ElastiCache, and ELB
• Experience with technologies such as Docker, Kubernetes, and Terraform
• Experience with relational or NoSQL database
• Experience with all phases of product development lifecycle, including requirement definition, development, test, and product release
• Adept at solving complex technical problems
• Strong sense of collaboration
• Excellent written and verbal communication skills
• Motivated self-starter and able to operate with autonomy

Bonus Qualifications:

• Experience with Jenkins and Groovy
• Experience with Ansible
• Knowledge of Google gRPC and protobuf
• Experience with high traffic services and highly scalable, distributed systems
• Knowledge of scalable data storage and processing technologies such as Cassandra, Apache Spark, and AWS S3
• Experience with stress testing plus performance tuning and optimization
• Experience working within the games industries

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What we're all about.

It isn't often you get to be part of a tech company that has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we can go.

The opportunity.

Our Quantexa Delivery team is all about contextualizing data. As a data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa's innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there's always a new challenge around the corner.

What you'll be doing.

• Writing defensive, fault tolerant and efficient code for production level data processing systems.
• Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
• You'll be a trusted source of knowledge for your clients. And you'll articulate technical concepts to a non-technical audience so they can make key decisions.
• Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

Requirements

What you'll bring.

• You'll have a background in hands-on technical development, with at least 18 months' of industry experience in a data engineering role or equivalent, and preferably some software industry experience.
• Proficiency in Scala, java, python, or a programming language associated with data engineering. Our primary language is Scala, but don't worry if that's not currently your strongest language. We believe that strong engineering principles are universal and transferable.
• As an expert in building and deploying production level data processing batch systems, you'll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You'll be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies.
• A strong technical communication ability with demonstrable experience of working in rapidly changing client environments.
• Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Importantly, you'll know the difference between varying test types (unit test, integration test) and can cite specific examples of what they have written themselves.

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

• Competitive salary
• Company bonus
• Annual leave, plus national holidays + your birthday off!
• Regularly bench-marked salary rates
• Well-being days
• Volunteer Day off
• Work from Home Equipment
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our 'Work from Anywhere' policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials

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At Quantexa, you’ll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20+ languages across our 50+ nationalities, creating a sense of belonging for all.

Join us in an exhilarating opportunity working with a determined and dynamic team of Solution Engineers, focused on North America. As a pivotal member of our regional force, you'll help drive Solution Engineering priorities across financial services industry vertical. Your influence will resonate in every facet of our commercial strategy, collaborating closely with regional peers in alliances, sales, marketing, and product management.

We seek an individual with profound technical and business acumen, adept at demystifying complex concepts with clarity and precision. You'll dazzle with presentations, deliver captivating product demos, and dive deep into client opportunities, leaving a lasting impression at industry events and webinars. Become the authoritative voice for our solutions and technology in the region, forging trust with executives through relatable dialogue.

In the Quantexa Solution Engineering (SE) team, you'll spearhead the initial connection between prospect organizations and the Go to Market team (GTM), setting the cornerstone for their journey. We seek an individual with profound technical and business acumen, adept at de-mystifying complex concepts with clarity and precision. You will:

• Uncover customer pain points: Use targeted, precise solution engineering techniques to identify the real challenges our prospects.
• Design and deliver tailored solutions: Create compelling presentations and deliver impactful product demos—adapting depth and content to resonate with each audience.
• Own the POC lifecycle: Manage the end-to-end proof of concept process. Define and align on success criteria, showcase sprint outcomes that clearly demonstrate value, and generate excitement around our solution.
• Ensure a smooth handover: Before transitioning to the delivery team, confirm a shared understanding of the customer’s pain and how the Quantexa solution addresses it.
• Be the face of Quantexa: Represent our brand with pride—whether engaging with prospects, supporting customers, or speaking at industry events and webinars.

Are you ready to shape the future of Solution Engineering with us? Join our ranks and be part of this extraordinary journey!

Probe and grasp prospect pain points, showcasing Quantexa's transformative solutions. Partner closely with Sales Directors to shape the opportunity strategy, qualify deals and influence account planning. Cultivate trust as the go-to advisor to clients, big and small, crafting compelling Value Engineering strategies. Craft tailored Proofs of Concept alongside the rest of GTM for maximum impact that capture the customers business problems. Lead the process of ‘Discovery’ and then ‘Solutionize’ with our prospects, to iterate and hone in on the right joint solution for all parties. Collaborate seamlessly with Quantexa's commercial teams, product experts and SMEs, embodying our core value of being a team player. Flawlessly lead product demos and presentations, qualify opportunities and manage compliance statements. Elevate Quantexa's profile through industry events such as SIBOS, ACAMS and thought leadership; and Provide feedback to Product and Engineering teams based on market and customer input to help shape roadmap opportunities.

Requirements

• Extensive experience in technology as a bridge between business and technical users /stakeholders in a commercially focused technical sales role e.g. Presales, Solution Engineering, Technical Sales, Solution Consulting, Product Management etc.
• Experience working with large banks or financial institutions including familiarity with buying cycles in regulated environments.
• Demonstrate technological mastery in data-powered, analytical solutions like Entity Resolution, Network Generation or Advanced Analytics.
• Proven track record of working in data management ecosystem with exposure to tools, technology and organizational data estate in world of analytics and AI.
• Ability to present to and excite senior leaders in Financial Services, leveraging technical acumen and deep knowledge of the banking ecosystem and establish trust and rapport with prospects.
• Command robust knowledge in technology and architecture particularly within the realm of enterprise software, such as big data technology, Elastic /OpenSearch, on-prem/on cloud deployment of open architectures.
• You’re all about the customer, and you’ll engage and captivate audiences of all sizes with an innate ability to simplify intricate concepts.
• Ability to travel across North America (25 – 40%) depending on customer needs and location; and
• Boast domain expertise across various realms of financial services (Risk, Anti-Financial Crime, Anti-fraud, AML, KYC, CRM) or in more general data management concepts (data quality, data warehousing, data fabric, etc.)

Nice to have:

• Experience working with scale-up companies; and
• Experience to Quantexa’s partner ecosystem (AWS, Azure, GCP, Databricks, Elasticsearch).

Benefits

We offer:

• Competitive base salary of $160-200k
• Company bonus
• 100% 401K match up to 5%
• Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
• Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care
• Competitive annual leave, parental leave, PTO, and observed holidays
• Well-being benefits, such as the Calm App and Wellbeing 1/2 days off
• Continuous Training and Development, including access to Udemy Business
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Employee Referral Program
• Team Social Budget & Company-wide Socials

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What we're all about.

Do you ever have the urge to do things better than the last time? We do. And it's this urge that drives us every day. Our environment of discovery and innovation means we're able to create deep and valuable relationships with our clients to create real change for them and their industries. It's what got us here – and it's what will make our future. At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.

We're heading in one direction, the future. We'd love you to join us.

At Quantexa we believe that people and organisations make better decisions when those decisions are put in context – we call this Contextual Decision Intelligence. Contextual Decision Intelligence is the new approach to data analysis that shows the relationships between people, places and organisations - all in one place - so you gain the context you need to make more accurate decisions, faster.

What will you be doing?

You'll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions. The platform is comprised of a landscape of low-maintenance, on-demand, and highly secure environments. Our environments host our software for our customers and partners to use, they also service a variety of internal use cases including underpinning the work of our R&D teams to develop Quantexa Platform software.

You'll be heavily involved with our cloud-based technical infrastructure, with responsibilities surrounding improving the availability and resilience of our platform, improving its usability and security, ensuring we stay at the forefront of technical innovation, and reducing toil across our estate.

You will also work alongside our software engineering teams to leverage DevOps techniques to support our software release activities and work on unique cloud-based product offerings for our customers to use in their own DevOps processes on their own Cloud estate.

Our tech stack

• A strong focus on Kubernetes & GitOps, utilising tools like ArgoCD and Istio
• Infrastructure Management - CasC, IasC (Terraform, Docker, Ansible, Packer)
• Hybrid public Cloud, primarily GCP & Azure, but also some AWS
• DevOps tooling/automation with the best tool for the job, commonly Bash, Python, Groovy, Golang
• Provisioning stack includes Elasticsearch, Spark, PostgreSQL, Valkey, Airflow, Kafka, etcd
• Log and metric aggregation with Fluentd, Prometheus, Grafana, Alertmanager

Requirements

We are looking for candidates who:

• Take pride in designing, building and delivering high quality well engineered solutions to complex problems
• Take a big picture approach to solving problems, taking care to ensure that the solution works well within the wider system
• Commercial or non-commercial experience with programming/scripting/automation
• Good appreciation for information security principals

Experience in the following would be beneficial:

• Experience with infrastructure management and general Linux administration
• Experience with software build and release engineering
• Exposure to a handful of the key parts of our tech stack listed above

Benefits

Why join Quantexa?

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

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You'll be joining the Applications team, which is an Engineering function within Quantexa's R&D department that is focused on internally building real-world applications of the Quantexa Platform.

This function enables demonstrations of the product and develops SaaS offerings, whilst also testing and refining new Platform features before they are deployed by clients. The function develops and releases its own tools that feed into these internal applications and are also packaged and released to help standardize and accelerate all Quantexa deployments.

It encompasses four distinct sub-teams:

Data Engineering Accelerators

• Developing Quantexa's libraries for cleansing, parsing and standardising data used in entity resolution
• Finding efficiency/performance improvements through big data testing and building performance tooling
• Owning best practices in entity resolution and network building

Data Feeds

• Building standardised and reusable code for processing various third party/open source data sets
• Managing an internal data lake for the provision of this data by other teams for testing and analytics
• Owning general best practices for ingesting and processing data to get it ready for use in the Quantexa Platform, including pipelines and scheduling

Demos

• Developing, deploying and maintaining all Quantexa demos, showcasing the different use cases for the Quantexa Platform
• Owning the Quantexa Trial platform, for prospective Quantexa clients to see the product in action using real data provided by Data Feeds
• Building tools to enable solution owners and sales to create their own custom demos

SaaS

• Building Quantexa's emerging SaaS offering, a cloud hosted, standardized deployment of the Quantexa Platform
• Targeting mid-market banks in the US for Retail AML initially, providing them with a cost-effective Quantexa solution, then expanding in future to more use cases and geographies
• Implementing cutting edge features of the Quantexa Platform ensuring SaaS customers always on the latest and greatest of Quantexa

Requirements

• Data processing/ETL pipelines
• Analysing and examining real and varied data
• Full stack development, but with a heavy focus on the data processing/ETL side
• Solving difficult problems with efficient, resilient, high impact code
• Working in the cloud with production-grade systems
• Defining best-practices and sharing expertise you’ve developed
• Working in a fast moving, Agile environment
• Growing and thriving within one of the UK’s fastest growing scale-ups

Experience in the following would be beneficial:

• A strong coding background, ideally in Scala or otherwise in a relevant language that will allow you to learn Scala quickly (e.g. Java/Python)
• Big data, either from a software deployment/implementation or a data science perspective
• Working with big data technology, ideally Spark but others will also be useful such as Airflow or Elasticsearch
• Working in an Agile environment
• Building data processing pipelines for use in production batch systems, including either traditional ETL pipelines and/or analytics pipelines
• Manipulating data through cleansing, parsing, standardising etc, especially in relation to improving data quality/integrity
• Building and deploying SaaS products

Benefits

• Competitive salary and Company Bonus
• Flexible working hours in a hybrid workplace & free access to global WeWork locations & events
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave
• Private Healthcare with AXA
• EAP, Well-being Days, Gym Discounts
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Workplace Nursery Scheme
• Team's Social Budget & Company-wide Summer & Winter Parties
• Tech & Cycle-to-Work Schemes
• Volunteer Day off
• Dog-friendly Offices

XML job scraping automation by YubHub

What we're all about.

It isn't often you get to be part of a tech company that has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we can go.

The opportunity.

Our Quantexa Delivery team is all about contextualizing data. As a data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa's innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there's always a new challenge around the corner.

What you'll be doing.

• Writing defensive, fault tolerant and efficient code for production level data processing systems.
• Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
• You'll be a trusted source of knowledge for your clients. And you'll articulate technical concepts to a non-technical audience so they can make key decisions.
• Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

Requirements

What you'll bring.

• You'll have a background in hands-on technical development, with at least 18 months' of industry experience in a data engineering role or equivalent, and preferably some software industry experience.
• Proficiency in Scala, java, python, or a programming language associated with data engineering. Our primary language is Scala, but don't worry if that's not currently your strongest language. We believe that strong engineering principles are universal and transferable.
• As an expert in building and deploying production level data processing batch systems, you'll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
• Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You'll be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies.
• A strong technical communication ability with demonstrable experience of working in rapidly changing client environments.
• Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Importantly, you'll know the difference between varying test types (unit test, integration test) and can cite specific examples of what they have written themselves.
• Due to the nature of our client projects, candidates are required to be native or fluent in either French or Dutch.

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive salary
• Company bonus
• 20 days annual leave (if you worked the previous year January – December), 12 compensation days, plus national holidays + your birthday off!
• Pension scheme
• Private Healthcare with DKV
• Death in Service and Income Protection
• Work from Home Allowance
• Eco Vouchers
• Meal Vouchers
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials

XML job scraping automation by YubHub

We are looking for an exceptional candidate to join our high-performing public sector focused team of Solution Engineers in North America. You will collaborate closely with regional peers across Alliances, Sales, Marketing, and Product to help win strategic sales opportunities.

We are seeking someone with strong technical and business solution expertise who can articulate complex technical concepts in a clear, compelling way. You will deliver impactful presentations, product demonstrations, and deep dives across customer engagements and industry events. As a spokesperson for Quantexa's technology, you’ll build lasting trust with stakeholders by engaging them in relevant, value-driven conversations.

The Quantexa Solution Engineering team is the first touchpoint for prospective organisations, shaping the early stages of the customer journey and setting the direction for a successful engagement. In this role, key responsibilities include:

• Communicate the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data

• Identify and position the right Quantexa solution tailored to each prospect’s specific needs

• Guide prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success

Are you ready to shape the future of Solution Engineering with us? Join our ranks and be part of this extraordinary journey!

Location: This role will be a remote based contract but we require candidates based in either Washington DC, Maryland or Virginia. The role may require travel to customer sites where appropriate.

What you’ll be doing.

• Manage  the technical aspects of the sales cycle, working alongside Sales, Architects, Product, and SMEs

• Contribute to  winning proposals, including RFPs and RFIs

• Take ownership of  the design and execution of PoCs and trials, ensuring alignment with customer objectives

• Collaborate on  the design and iteration of tailored solutions, working with partners, customers, and internal teams to define the right approach

• Deliver tailored, adapt and deliver customised product demonstrations, both in-person and remotely, that engage a range of stakeholders from users to executives

• Facilitate  discovery sessions with prospects and partners, uncovering core business challenges and technical needs

Requirements

What you’ll bring:

• Experience in a commercially focused, technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting
• Great interpersonal, written, and verbal communication skills, with a track record of effective customer engagement
• You are a great communicator, able to captivate audiences of all sizes with an innate ability to simplify complex concepts for diverse audiences.
• You will boast domain expertise across multiple areas of government (Tax or VAT evasion; customs and border risk assessments; public security; and benefits fraud, waste, and abuse).
• Proven experience in at least one solution area. E.g. Financial Crime, with a good understanding of both technical and business aspects of the solution.
• Led at least two extensive proving engagements, and contributed to five or more overall. Proving engagements include PoCs or early implementation phases, or alternatively, all of the following activities: technical workshops, prototypes, bespoke demonstrations, and business cases.
• Confident in delivering engaging presentations and pitches that connect functionality to business value
• Experience building demos, templates, or sharing best practices that contribute to team enablement
• Experience mentoring or supporting peers through knowledge sharing or guidance

Nice to have:

• Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and MDM

• Domain knowledge in other areas such as Risk, Anti-Financial Crime, AML, KYC, CRM

• Technical expertise in data storage, processing and containerisation technology such as Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, Open Search, Elastic Search

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive base salary of $155-175k
• Company bonus
• 100% 401K match up to 5%
• Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
• Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care
• Competitive annual leave, parental leave, PTO, and observed holidays
• Well-being benefits, such as the Calm App and Wellbeing 1/2 days off
• Continuous Training and Development, including access to Udemy Business
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Employee Referral Program
• Team Social Budget & Company-wide Socials

Our mission.

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It’s all about you.

XML job scraping automation by YubHub

What we're all about.

It isn't often you get to be part of a tech company that has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We're a real team. Collaborating and constantly engineering better and better solutions. We're ambitious, we think things through and we're on a mission to discover just how far we can go.

The opportunity.

Our Quantexa Delivery team is all about contextualizing data. As a Data Engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa's innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there's always a new challenge around the corner.

What you'll be doing.

• Writing defensive, fault tolerant and efficient code for production level data processing systems.
• Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
• You'll be a trusted source of knowledge for your clients. And you'll articulate technical concepts to a non-technical audience so they can make key decisions.
• Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

XML job scraping automation by YubHub

Our ideal candidate will have strong technical and business solution expertise, with the ability to articulate complex technical concepts in a clear and compelling way. You will deliver impactful presentations, product demonstrations, and deep dives across customer engagements and industry events.

The Quantexa Solution Engineering team is the first touchpoint for prospective organisations, shaping the early stages of the customer journey and setting the direction for a successful engagement. In this role, key responsibilities include:

• Communicating the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data
• Identifying and positioning the right Quantexa solution tailored to each prospect's specific needs
• Guiding prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success

If you are a great communicator, able to captivate audiences of all sizes with an innate ability to simplify complex concepts for diverse audiences, and have domain expertise across multiple areas of government, we want to hear from you.

Requirements

• Experience in a commercially focused, technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting
• Great interpersonal, written, and verbal communication skills, with a track record of effective customer engagement
• Domain expertise across multiple areas of government (Tax or VAT evasion; customs and border risk assessments; public security; and benefits fraud, waste, and abuse)
• Proven experience in at least one solution area, with a good understanding of both technical and business aspects of the solution
• Confident in delivering engaging presentations and pitches that connect functionality to business value
• Experience building demos, templates, or sharing best practices that contribute to team enablement

Nice to have

• Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and MDM
• Domain knowledge in other areas such as Risk, Anti-Financial Crime, AML, KYC, CRM
• Technical expertise in data storage, processing and containerisation technology such as Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, Open Search, Elastic Search

Benefits

We offer a competitive base salary of $155-175k, company bonus, 100% 401K match up to 5%, comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being, tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care, competitive annual leave, parental leave, PTO, and observed holidays, well-being benefits, such as the Calm App and Wellbeing 1/2 days off, continuous Training and Development, including access to Udemy Business, Work from Anywhere Scheme, Employee Referral Program, Team Social Budget & Company-wide Socials.

XML job scraping automation by YubHub

We are looking for an exceptional candidate to join our high-performing public sector focused team of Solution Engineers in North America. You will collaborate closely with regional peers across Alliances, Sales, Marketing, and Product to help win strategic sales opportunities.

We are seeking someone with strong technical and business solution expertise who can articulate complex technical concepts in a clear, compelling way. You will deliver impactful presentations, product demonstrations, and deep dives across customer engagements and industry events. As a spokesperson for Quantexa's technology, you’ll build lasting trust with stakeholders by engaging them in relevant, value-driven conversations.

The Quantexa Solution Engineering team is the first touchpoint for prospective organisations, shaping the early stages of the customer journey and setting the direction for a successful engagement. In this role, key responsibilities include:

• Communicate the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data

• Identify and position the right Quantexa solution tailored to each prospect’s specific needs

• Guide prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success

Are you ready to shape the future of Solution Engineering with us? Join our ranks and be part of this extraordinary journey!

Location: This role will be a remote based contract but we require candidates based in either Washington DC, Maryland or Virginia. The role may require travel to customer sites where appropriate.

What you’ll be doing.

• Manage  the technical aspects of the sales cycle, working alongside Sales, Architects, Product, and SMEs

• Contribute to  winning proposals, including RFPs and RFIs

• Take ownership of  the design and execution of PoCs and trials, ensuring alignment with customer objectives

• Collaborate on  the design and iteration of tailored solutions, working with partners, customers, and internal teams to define the right approach

• Deliver tailored, adapt and deliver customised product demonstrations, both in-person and remotely, that engage a range of stakeholders from users to executives

• Facilitate  discovery sessions with prospects and partners, uncovering core business challenges and technical needs

Requirements

What you’ll bring:

• Experience in a commercially focused, technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting
• Great interpersonal, written, and verbal communication skills, with a track record of effective customer engagement
• You are a great communicator, able to captivate audiences of all sizes with an innate ability to simplify complex concepts for diverse audiences.
• You will boast domain expertise across multiple areas of government (Tax or VAT evasion; customs and border risk assessments; public security; and benefits fraud, waste, and abuse).
• Proven experience in at least one solution area. E.g. Financial Crime, with a good understanding of both technical and business aspects of the solution.
• Led at least two extensive proving engagements, and contributed to five or more overall. Proving engagements include PoCs or early implementation phases, or alternatively, all of the following activities: technical workshops, prototypes, bespoke demonstrations, and business cases.
• Confident in delivering engaging presentations and pitches that connect functionality to business value
• Experience building demos, templates, or sharing best practices that contribute to team enablement
• Experience mentoring or supporting peers through knowledge sharing or guidance

Nice to have:

• Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and MDM

• Domain knowledge in other areas such as Risk, Anti-Financial Crime, AML, KYC, CRM

• Technical expertise in data storage, processing and containerisation technology such as Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, Open Search, Elastic Search

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

• Competitive base salary of $155-175k
• Company bonus
• 100% 401K match up to 5%
• Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
• Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care
• Competitive annual leave, parental leave, PTO, and observed holidays
• Well-being benefits, such as the Calm App and Wellbeing 1/2 days off
• Continuous Training and Development, including access to Udemy Business
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Employee Referral Program
• Team Social Budget & Company-wide Socials

Our mission.

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It’s all about you.

XML job scraping automation by YubHub

The Opportunity

We are looking for an exceptional candidate to join our high-performing team of Solution Engineers in EMEA and be based in France. You will collaborate closely with regional peers across Alliances, Sales, Marketing, and Product to help win strategic sales opportunities.

What We're All About

At Quantexa, you'll experience autonomy and support in equal measures allowing you to form a career that matches your ambitions. 41% of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 50+nationalities, creating a sense of belonging for all.

Key Responsibilities

• Communicate the value and impact of the Quantexa Decision Intelligence Platform, helping prospects understand how it enables smarter, faster, and more confident decision-making through connected, trusted data
• Identify and position the right Quantexa solution tailored to each prospect's specific needs
• Guide prospects through a clear, outcome-driven solution strategy that sets the stage for long-term value and success

What You'll Be Doing

• Supporting Solution Engineering activities for sales opportunities under the guidance of senior team members
• Collaborating with Quantexa's commercial teams, product experts, and SMEs to deliver impactful pre-sales engagements
• Learning to identify and articulate customer challenges, showcasing Quantexa's solutions with clarity and confidence
• Assisting with product demos and presentations to prospects, and gaining exposure to opportunity qualification processes
• Supporting the design and execution of tailored Proof of Concepts (POCs) that address key customer business problems
• Communicating the Quantexa platform's value effectively, to diverse audiences
• Representing Quantexa at industry events and contributing to thought leadership as your expertise grows

Requirements

• Experience in a commercially focused, technical role such as Solution Engineering, Presales, Technical Sales, or Value Consulting selling software solutions to the French banking sector (preferably tier 1 banks)
• Excellent interpersonal, written, and verbal communication skills, with a track record of effective customer engagement
• Exceptional communicator, able to captivate audiences of all sizes with an innate ability to simplify complex concepts for diverse audiences
• Proven experience across at least two solution areas [e.g. Financial Crime, Data Management, Customer 360], with deep expertise in at least one of them within the banking sector, focused on either technical or business capabilities
• Strong technology knowledge, particularly in enterprise software environments
• Successfully led a minimum of five extensive proving engagements. Proving engagements include PoCs or early implementation phases, or alternatively, all of the following activities: technical workshops, prototypes, bespoke demonstrations, and business cases
• Confident in presenting and pitching solutions to senior stakeholders at Tier 1 banking organisations
• Proven ability to drive innovation and best practices that elevate Solution Engineering performance, with multiple examples of successful implementation
• Fluent in French and English. Other languages would be a bonus but not essential

Desirable Experience

• Strong expertise in data-driven, analytical solutions such as Entity Resolution, Graph Generation, Advanced Analytics, and MDM
• Domain knowledge in areas such as Risk, Anti-Financial Crime, AML, KYC, CRM, Customer Intelligence
• Technical expertise in data storage, processing and containerisation technology such as Cloud or On-prem Distributed File Systems, Spark, Databricks, Kubernetes, Open Search, Elastic Search

Benefits

We offer:

• Competitive salary
• Commission (uncapped)
• Private healthcare, Life Insurance & Income Protection
• Cycle Scheme and TechScheme
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Pension Scheme with a company contribution of 6% (if you contribute 3%)
• 25 days annual leave (with the option to buy up to 5 days) + birthday off!
• Ongoing personal development

XML job scraping automation by YubHub

As a Solutions Engineer, you will be responsible for uncovering customer pain points, designing and delivering tailored solutions, and owning the proof of concept lifecycle. You will work closely with sales directors to shape opportunity strategy, qualify deals, and influence account planning. You will also cultivate trust as the go-to advisor to clients, big and small, crafting compelling value engineering strategies.

To be successful in this role, you will need to have extensive experience in technology as a bridge between business and technical users/stakeholders in a commercially focused technical sales role. You will also need to have experience working with large banks or financial institutions, including familiarity with buying cycles in regulated environments.

In addition to your technical skills, you will need to have excellent communication and presentation skills, with the ability to present to and excite senior leaders in financial services. You will also need to be able to travel across North America (25-40%) depending on customer needs and location.

We offer a competitive base salary of $160-200k, company bonus, 100% 401K match up to 5%, comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being. We also offer competitive annual leave, parental leave, PTO, and observed holidays, as well as continuous training and development opportunities.

If you are a motivated and results-driven individual who is passionate about making data easier, we encourage you to apply for this exciting opportunity.

Responsibilities:

• Uncover customer pain points and design tailored solutions
• Own the proof of concept lifecycle
• Work closely with sales directors to shape opportunity strategy
• Cultivate trust as the go-to advisor to clients
• Craft compelling value engineering strategies

Requirements:

• Extensive experience in technology as a bridge between business and technical users/stakeholders in a commercially focused technical sales role
• Experience working with large banks or financial institutions, including familiarity with buying cycles in regulated environments
• Excellent communication and presentation skills
• Ability to travel across North America (25-40%) depending on customer needs and location

Nice to have:

• Experience working with scale-up companies
• Experience with Quantexa's partner ecosystem (AWS, Azure, GCP, Databricks, Elasticsearch)

Benefits:

• Competitive base salary of $160-200k
• Company bonus
• 100% 401K match up to 5%
• Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
• Competitive annual leave, parental leave, PTO, and observed holidays
• Continuous training and development opportunities
• Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
• Employee Referral Program
• Team Social Budget & Company-wide Socials

XML job scraping automation by YubHub

We're growing fast so we're looking for a Senior Software Engineer to join our Product team! We are proud of our strong engineering culture and the dogged emphasis on customer-centric design. We're working on all sorts of exciting areas of application development: web, mobile, infrastructure, performance, UI/UX design, integrations with dozens of web services, API development, modern front-end frameworks, scalability, video, natural language processing, data science and usability engineering.

Agile methodology and test-driven development are not things we read about in blogs, it's what we do every day! Our technology stack consists of Rails, Node, Python and Java apps based on PostgreSQL, MongoDB, RabbitMQ, Redis and Elastic deployed on Kubernetes and GCP. We're looking for developers in all fields of SaaS application development. We have several teams working on different areas from the core application to mobile/tablet applications, integrations, natural language processing, data science and video technology. We will find the right team for you depending on your skills and technology interests.

Responsibilities:

• Develop and maintain software systems in production
• Strong background in relational database theory and excellent knowledge of Relational Databases (Postgres, MySQL, SQL server, Oracle)
• Familiarity with NOSQL storage (MongoDB, Redis, Elastic, etc.)
• Firm grasp of multi-threading, object-oriented design and asynchronous programming
• Skilled in testing (unit/integration)
• BS/MS degree in Computer Science, Engineering or a related subject
• Being passionate about web technologies

Benefits:

• Comprehensive Health Coverage: A robust health insurance plan that includes coverage for your dependents.
• Competitive Compensation: An attractive salary paired with a performance-based bonus plan.
• Flexible Work Model: Enjoy the best of both worlds with a hybrid setup—two days working from home and three in the office.
• Top-Tier Tools: Apple gear and access to the latest productivity tools to help you excel.
• Stay Connected: A mobile data plan to keep you online wherever you are.
• Delicious Perks: Fresh, tasty food at the office to fuel your productivity.
• Relocation Bonus: To help you settle in smoothly in Athens.

XML job scraping automation by YubHub

We are seeking a motivated and passionate Network Engineer to join our team. As a Data Center Networking Specialist - Sr Staff, you will be responsible for leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.

What You'll Be Doing:

• Leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.
• Developing strategy and architecture for DC engineering, influencing standards and technology direction across data centers and clouds.
• Program managing complex cross-functional projects, aligning stakeholders and driving collaboration to achieve strategic goals.
• Owning the end-to-end data center design lifecycle, from blueprinting through day2 operations, and creating repeatable templates for broader team support.
• Implementing automation tools and AI-driven solutions to streamline network operations and improve efficiency.
• Establishing and tracking key performance indicators (KPIs) to measure network efficiency, effectiveness, and driving continuous improvements.
• Mentoring and guiding junior engineers, fostering a culture of knowledge sharing and continuous learning.
• Staying current with industry trends and emerging technologies in data center and cloud networking, evaluating their impact on operations.
• Developing and maintaining comprehensive documentation for network configurations, processes, and procedures.
• Communicating effectively with stakeholders at all levels, conveying complex concepts to both technical and non-technical audiences.

The Impact You Will Have:

• Driving innovation in data center and cloud network architectures, ensuring Synopsys remains at the forefront of technology.
• Enhancing operational efficiency and scalability through automation and AI-driven solutions.
• Shaping the standards and technology direction for global data center initiatives.
• Improving network reliability, security, and performance for mission-critical business applications.
• Fostering a high-performing, collaborative engineering culture through mentorship and leadership.
• Enabling seamless integration of emerging technologies and adapting strategies to evolving business needs.
• Reducing manual intervention and operational risks, supporting robust and resilient infrastructure.
• Ensuring documentation and processes are streamlined, accessible, and actionable for all stakeholders.

What You'll Need:

• BS in Engineering or related field; MS preferred.
• 10+ years of experience in network engineering/data center infrastructure with significant production ownership of large-scale networks.
• Expert-level proficiency in DC and service provider grade protocols: BGP, ISIS, MPLS, Segment Routing, EVPN, VXLAN, QoS, traffic engineering.
• High proficiency with Cisco ACI (Application Centric Infrastructure) solutions, including Multi-Pod/Multi-Site architecture and ACI automation (APIC REST/SDK/Ansible collections).
• Proficiency in Python and Ansible for automation.
• Experience integrating telemetry (gNMI/streaming) and flow analytics (NetFlow/IPFIX/sFlow) with platforms like Elastic/Grafana.
• Demonstrated leadership and mentoring abilities, with successful program management experience.
• Strong organizational skills, capable of managing multiple projects and priorities.
• Good to have: Relevant certifications (e.g., CCNP, CCIE – Data Center, AWS certified solution architect), DC operations experience, strong security mindset, ITIL change/incident familiarity.

Who You Are:

• Self-driven and proactive, consistently finding ways to contribute beyond your charter.
• Excellent communicator, able to convey complex concepts to both technical and non-technical audiences.
• Collaborative team player, inspiring and mentoring others.
• Adaptable and agile, thriving in a fast-paced, evolving environment.
• Innovative thinker, always seeking to improve and future-proof network solutions.
• Organized, detail-oriented, and results-focused.
• Strong leader with a passion for continuous learning and development.

The Team You’ll Be A Part Of:

The Synopsys Network and Datacenter team is responsible for the design, vision, and driving major initiatives for Data Center and Cloud. You’ll be joining a diverse, high-impact group of experts who collaborate across global sites to deliver scalable, secure, and innovative network solutions. The team values knowledge sharing, continuous improvement, and a culture of excellence, empowering each member to make a meaningful impact on Synopsys’ technological landscape.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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