You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience, working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark or Scala

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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!

XML job scraping automation by YubHub

You are passionate about data and AI, love getting hands-on with technology, and enjoy communicating its value to both technical and non-technical stakeholders. Partnering closely with Account Executives, you will lead the technical discovery, architecture design, and proof-of-concept phases, and act as a trusted advisor to our customers on their data and AI strategy.

You will help customers realize tangible, data-driven outcomes on the Databricks Lakehouse Platform by guiding data and AI teams to design, build, and operationalize solutions within their enterprise ecosystem.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars, and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure, or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Fluent coding experience in Python or Scala implementing Apache Spark, Java, and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, click here.

XML job scraping automation by YubHub

You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem.

The impact you will have:

• You will be a Big Data Analytics expert on aspects of architecture and design
• Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

• Strong consulting / customer facing experience, working with external clients across a variety of industry markets
• Core strength in either data engineering or data science technologies
• 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding
• 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP)
• 6+ years of experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Coding experience in Python, R, Java, Apache Spark or Scala

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Responsibilities:

• Lead the development of highly-visible, user-facing products that protect our users.
• Design, build, and deploy robust production APIs, backend services, and data pipelines to launch safety features at scale.
• Collaborate cross-functionally with Product, Design, Policy, Data Science, ML, Legal, and T&S Operations to create solutions that are both impactful and lovable.
• Iterate on in-house tooling to supercharge our T&S workflows.
• Respond rapidly to the ever-evolving abuse and compliance landscape.

Requirements:

• 5+ years experience writing Python and utilizing back-end API frameworks (Flask, Django).
• 5+ years experience developing front-end interfaces with JavaScript (React, TypeScript) for both web and mobile platforms.
• Familiarity with databases such as Cassandra, Postgres, and ScyllaDB.
• Demonstrated success leading end-to-end delivery of complex projects: breaking down ambiguity, coordinating rollouts, and aligning stakeholders.
• Demonstrated ability to troubleshoot, debug, and test complex systems in a live, production environment.
• Exceptional communication and collaboration skills, with the ability to work well with cross-functional partners, designers, and other engineers.
• Experience using metrics and dashboards to make data-driven decisions and develop insightful reports.
• Experience utilizing AI tools like Claude Code and Cursor to supercharge dev workflows

Bonus Points:

• Experience in the Safety or Anti-Abuse domain.
• Experience analyzing and visualizing data using Datadog or Mode.
• Familiarity with real-time streaming systems like Kafka or Pub-Sub.
• Ability to contribute to offline analytics jobs and processes.
• Experience building and operating mobile-client features on iOS and Android.
• Exposure to lower-level languages such as Go, Rust, and Elixir.
• A strong moral compass that drives you to protect users and do the right thing.

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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

XML job scraping automation by YubHub

You will help our customers to achieve tangible data-driven outcomes through the use of our The Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems.

Responsibilities:

• Be a Big Data Analytics expert on aspects of architecture and design
• Lead your prospects through evaluating and adopting Databricks
• Support your customers by authoring reference architectures, how-tos, and demo applications
• Integrate Databricks with 3rd-party applications to support customer architectures
• Engage with the technical community by leading workshops, seminars and meet-ups

What we look for:

• Pre-sales or post-sales experience working with external clients across a variety of industry markets
• Understanding of customer-facing pre-sales or consulting role with a core strength in either Data Engineering or Data Science advantageous
• Experience demonstrating technical concepts, including presenting and whiteboarding
• Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)
• Experience with Big Data technologies, including Apache Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others.
• Fluent coding experience in Python or Scala implementing Apache Spark, Java and R is also desirable
• Experience working with Enterprise Accounts
• Written and verbal fluency in Japanese and English

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

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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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This is a high-agency position for an engineer who can navigate ambiguity and take decisive ownership of the technical direction in collaboration with other engineers, teams, and stakeholders.

Responsibilities:

• Lead large cross-functional projects end to end, from concept, design, and implementation through to launch and driving adoption all while ensuring the highest quality and performance.

• Have a strong product sense and be able to run customer interviews, translating data and user feedback into features that inform the team’s roadmap.

• Mentor engineers and leaders, share industry knowledge, and contribute to the technical growth of the team.

• Disambiguate complex problems, align stakeholders with different priorities, and aggressively prioritize to execute effectively.

• Be able to make system level improvements, enhancements and implement complex code modifications.

• Collaborate closely with engineering teams and stakeholders to integrate Business Manager capabilities into broader infrastructure and use cases across Reddit.

Qualifications:

• 7+ years software engineering experience building production services at scale.

• Ads domain experience.

• Excellent communication skills to collaborate with a service-oriented team and company.

• Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment between diverse stakeholders.

• Experience in solving complex system scaling and latency performance problems.

• Strong proficiency in one or more: Go, Python; plus experience with service frameworks (gRPC/Thrift) and API design.

• Experience with distributed systems, data modeling, and event-driven architectures (e.g., Kafka/PubSub).

Preferred:

• Previous experience as a Tech Lead or similar function.

• Experience building solutions for advertising agencies or other global enterprise customers.

Our Stack:

• Go, Python; gRPC/Thrift; Kafka; Postgres, BigQuery, Redis, Cassandra, SpiceDB (ReBAC); Kubernetes; AWS/GCP

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While identifying solutions to customers' biggest challenges in big data, analytics, data engineering, and data science, you will work with the sales team to propose solutions to customers. You report to the Field Engineering Manager.

Your impact:

• You will become an expert in big data analysis in the architecture and design aspect.
• You will guide potential customers to adoption of Databricks.
• You will support customers by creating reference architectures, high-level deployment and migration plans, and demo applications.
• You will integrate Databricks and third-party applications to support customer architectures.
• You will lead workshops, seminars, and meetups to engage with the technical community.
• You will build successful relationships with clients in your assigned segment, providing both technical and business value.
• You will discover customer use cases,
• Optimize existing customers' Databricks environments,
• Engage in activities to improve Databricks products.

Requirements/Experience:

• Experience working with external clients in various industries as a pre-sales or post-sales professional.
• Experience demonstrating technical concepts, presenting, and using whiteboards.
• Experience designing and implementing architecture in public cloud (AWS, Azure, GCP).
• Experience working with enterprise accounts.
• Fluent communication in Japanese and business-level writing in English.
• Basic understanding of data domain or machine learning/AI domain, and SQL coding skills.

Desirable Experience/Skills:

• Understanding of a core strength in data engineering or data science in a customer-facing pre-sales or consulting role.
• Experience with big data technologies such as Apache Spark, AI, data science, Hadoop, Cassandra.
• Experience coding in Python, Scala, Java, or R using Apache Spark.
• Development experience in data domain or machine learning/AI domain, particularly in Python (Pandas, NumPy, etc.).

XML job scraping automation by YubHub

Your day-to-day will involve implementing Agentic AI and LLM-powered workflows using tools like Tines, AWS Agentcore, AWS Bedrock, Claude Code, etc. You will deploy systems with Infrastructure as Code (IaC) (i.e. Terraform) and build and maintain automation workflows across key enterprise platforms (i.e. Atlassian, Okta, Google Workspace, Slack, Zoom, knowledge management systems), cybersecurity systems (i.e. SIEM, GRC platforms, Data Security Platforms, etc.), and cloud environments (AWS, GCP).

You will build AI-driven chatbots or intelligent agents that automate tasks, support conversational workflows, and integrate with enterprise applications. You will partner with IT, Security, GRC, Procurement, and business teams to automate operational tasks and processes to reduce toil, improve efficiency and enable business.

You will develop integrations using REST APIs, JSON, webhooks, and scripting languages (JavaScript, Python). You will follow established automation and AI standards for quality, security, and governance; provide improvements where appropriate.

You will troubleshoot, maintain, and optimize existing workflows to improve stability and performance. You will document designs, workflows, configurations, and operational procedures.

You will participate in code reviews, technical discussions, and team-based learning to uplift engineering quality and consistency.

You will work with various tooling in Security, IT, and Production Engineering.

This role requires 10+ years of experience in automation engineering, systems integration, or workflow development. You should have experience with automation platforms such as Tines, Retool, Superblocks, n8n, etc. You should also have hands-on experience with Terraform and containerization technologies.

You should have experience developing LLM-powered automations, conversational interfaces, or Agentic AI assistants. You should have knowledge of Git and modern version control practices.

You should have strong skills in REST APIs, JSON, webhooks, JavaScript, and Python. You should also have familiarity with identity systems (Okta, SCIM) and RBAC concepts.

You should have familiarity with cloud environments such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).

You should be able to break down problems, collaborate cross-functionally, and deliver solutions with moderate guidance.

You should have strong communication skills and the ability to translate functional requirements into technical outputs.

Preferred experience includes familiarity with data platform and database technologies (e.g., Snowflake, PostgreSQL, Cassandra, DynamoDB).

Work perks at Greenlight include medical, dental, vision, and HSA match, paid life insurance, AD&D, and disability benefits, traditional 401k with company match, unlimited PTO, paid company holidays and pop-up bonus holidays, professional development stipends, mental health resources, 1:1 financial planners, fertility healthcare, 100% paid parental and caregiving leave, plus cleaning service and meals during your leave, flexible WFH, both remote and in-office opportunities, fully stocked kitchen, catered lunches, and occasional in-office happy hours, employee resource groups.

XML job scraping automation by YubHub

Your role will involve troubleshooting technical challenges, optimizing services and data pipelines, and continuously researching new technologies to enhance system performance. By mentoring junior engineers and contributing to our team culture, you’ll help ensure the reliability, security, and efficiency of mission-critical trading systems in a dynamic, fast-paced environment.

Role Details

Design, Develop, and Maintain Scalable Web Applications and Backend Services

Design, develop, and maintain scalable web applications and backend services to support trading operations.

Collaborate with Cross-Functional Teams

Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions.

Implement and Optimize High-Performance APIs, Microservices, and Data Processing Pipelines

Implement and optimize high-performance APIs, microservices, and data processing pipelines.

Ensure Best Practices in Code Quality, Testing, Deployment, and Security

Ensure best practices in code quality, testing, deployment, and security.

Troubleshoot and Resolve Technical Issues

Troubleshoot and resolve technical issues across the full stack with a focus on reliability and efficiency.

Continuously Research and Adopt New Technologies

Continuously research and adopt new technologies to improve team productivity and system performance.

Mentor Junior Engineers and Contribute to a Positive, Innovative Team Culture

Mentor junior engineers and contribute to a positive, innovative team culture.

About You

Education

Bachelor’s or Master’s degree in computer science, Engineering, or a related technical field.

Experience

Minimum 7 years’ proven experience as a Full Stack Engineer, preferably in trading, finance, or similarly complex environments.

Skills

Proven experience with object-oriented programming languages such as Java 17+

Strong knowledge of Data Structures, Object Oriented Programing concepts and design patterns.

Expertise in designing and maintaining RESTful APIs and GraphQL is a plus.

Experience working with databases SQL and NoSQL (Cassandra, Ignite).

Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Strong understanding of software development life cycle, agile methodologies, and best engineering practices.

Strong understanding of design patterns in an enterprise environment.

Excellent problem-solving skills and an analytical mindset.

Track record building high quality software with design-focused and test-driven approaches.

Experience taking emotional ownership of the design and development of a significant application, system, or key component. Ability to form positive relationships with partnering teams, sponsors, and user groups in a distributed team environment.

What We Offer

The Chance to Make a Real Impact

The chance to make a real impact in a global trading environment.

A Collaborative, Inclusive Team

A collaborative, inclusive team with a focus on professional growth and technical excellence.

Opportunities to Work with Cutting-Edge Technologies

Opportunities to work with cutting-edge technologies and complex problem domains.

Support for Ongoing Training and Career Progression

Support for ongoing training, certification, and career progression.

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Key responsibilities will include:

• Designing, implementing, and maintaining robust systems for data distribution to customers and third-party integrations.
• Collaborating closely with engineering teams across the organisation to ensure adoption of optimal technical solutions and raising development standards through knowledge sharing and best practice implementation.
• Actively contributing to technical discussions regarding new product directions, data modelling, and architectural decisions to ensure the technology platform remains scalable and adaptable.

What we are looking for:

• 4+ years’ experience in software engineering.
• Strong technical ability across the full stack: C#, Python, FastAPI, React and Typescript are a plus.
• Experience with PostgreSQL, MongoDB and other SQL and NoSQL databases (AWS Aurora, Azure Cosmos DB, MS SQL Server, Cassandra are a plus).
• Experience with Data Warehouse systems, particularly Snowflake (DataBricks is a plus).
• Experience of working within cloud provider services – Azure or AWS and utilization of infrastructure as code (Terraform).
• Familiarity with containerisation – Docker and Kubernetes.
• Excel plugin development experience is a plus.
• Excellent verbal and written communication and interpersonal skills.
• A “let’s do it” and “challenge accepted” attitude when faced with challenging tasks, and willingness to learn new technologies and ways of working.

Our benefits include retirement investment, education reimbursement, comprehensive resources to support physical health and emotional well-being, family support programs, and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation.

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You will be at the heart of BlackRock's Aladdin, building the platform that drives our and our client's investment and trading operations. Each day, you will design, develop, and maintain scalable web applications and high-performance APIs, collaborating closely with traders, product managers, and fellow engineers to define requirements and deliver impactful solutions.

About the role

• Design, develop, and maintain scalable web applications and backend services to support trading operations.
• Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions.
• Implement and optimize high-performance APIs, microservices, and data processing pipelines.
• Ensure best practices in code quality, testing, deployment, and security.
• Troubleshoot and resolve technical issues across the full stack with a focus on reliability and efficiency.
• Continuously research and adopt new technologies to improve team productivity and system performance.
• Mentor junior engineers and contribute to a positive, innovative team culture.

About you

• Bachelor's or master's degree in computer science, Engineering, or a related technical field.
• Minimum 7 years' proven experience as a Full Stack Engineer, preferably in trading, finance, or similarly complex environments.
• Strong proficiency in modern web frameworks (such as React, Angular, or Vue)
• Proven experience with object-oriented programming languages such as Java 17+ or TypeScript
• Expertise in designing and maintaining RESTful APIs and GraphQL APIs
• Experience working with databases SQL and NoSQL (Cassandra, Ignite).
• Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Strong understanding of software development life cycle, agile methodologies, and best engineering practices.
• Strong understanding of design patterns in an enterprise environment.
• Excellent problem-solving skills and an analytical mindset.

What We Offer

• The chance to make a real impact in a global trading environment.
• A collaborative, inclusive team with a focus on professional growth and technical excellence.
• Opportunities to work with cutting-edge technologies and complex problem domains.
• Support for ongoing training, certification, and career progression.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

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And we make games - How cool is that? In fact, we entertain millions of people across the globe with the most amazing and immersive interactive software in the industry. But making games is challenging. That's why we employ the most creative and passionate people in the industry.

What you'll do

The Challenge Ahead:

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.

What you need

• Responsibility 1: Design brand new services covering all aspects from storage to application logic to management console
• Responsibility 2: Enhance and add features to existing systems
• Responsibility 3: Research and select new best-of-breed technologies to meet challenging requirements
• Responsibility 4: Communicate with engineers from across the company to deliver the next generation of online features for both established and not-yet-released games

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