The ideal candidate should have a proven track record in developing and maintaining Java-based front-end applications in the finance sector. Exceptional team collaboration skills and the ability to work effectively with colleagues across global time zones are crucial.

Millennium strongly prioritizes our synergistic culture, which revolves around teamwork and low egos. You should possess the ability to work in a fast-paced environment both collaboratively and individually while managing multiple projects simultaneously.

The successful individual will have a strong sense of urgency, emotional intelligence, and prioritize a high-caliber end-user experience.

Qualifications:

• Bachelor’s degree in computer science or comparable
• 7+ years of professional experience with Core Java and Java Swing, electronic trading systems and/or trader workstations environment strongly preferred.
• 5+ years of experience working with HTML, JavaScript, CSS, and JQuery
• Deep understanding of multithreading and distributed systems within a high performance, latency-sensitive environment
• Strong knowledge of unit testing frameworks and continuous test-driven development practices
• Enterprise level experience with design patterns such as MVC, MV, MVP
• Enterprise level experience with RESTful web services
• Previous experience liaising with non-technology stakeholders, polished and proactive communication skills

Beneficial/Ideal Technology Experience:

• EXT-JS, AngularJS, AJAX, JSON experience is very beneficial
• Knowledge of equities, futures, options and other asset classes is preferred
• Enterprise level experience with OMS architecture and design is preferred
• Experience with messaging middleware, Solace preferred
• Experience with relational and NoSQL databases. MongoDB preferred
• Experience working with financial data, including reference data, market data, order/execution and positions data.
• Experience working with Cloud: AWS (preferred), GCP or Azure

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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Communicating Between Technical and Non-Technical Colleagues

As a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.

Data Analysis and Synthesis

You will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.

Data Development Process

You will design, build and test data products that are complex or large scale, build teams to complete data integration services.

Data Innovation

You will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.

Data Integration Design

You will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.

Data Modeling

You will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.

Metadata Management

You will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.

Problem Resolution

You will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.

Programming and Build

You will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.

Technical Understanding

You will understand the core technical concepts related to the role, and apply them with guidance.

Testing

You will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.

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You will be responsible for owning functionality and scalability features by taking responsibility from inception to deployment, upholding our high engineering standards and bringing consistency to the codebases, infrastructure, and processes you will encounter.

We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow.

This role will be based in our Vancouver Office, which is a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require 3 days per week in the office - Monday, Wednesday, and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Own functionality and scalability features by taking responsibility from inception to deployment.
• Be responsible for full software development lifecycle - design, development, testing, operating in production.
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.

Requirements:

• 7+ years of professional experience in a software engineering role or equivalent experience.
• Experience building and designing scalable backend systems.
• Experience working with SQL or NoSQL databases.
• Experience working with backend programming languages (Java, Kotlin, Python).
• Familiarity with software engineering development cycles.
• Ability to hold yourself and the team to high standards.
• Strong communication and interpersonal skills.
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English).

Bonus points:

• Experience collaborating with experts in product, design, and operations.
• Familiarity with functional programming languages.
• Experience driving initiatives at a broader level across an organization or company.
• Strong writing skills.
• Proactive approach.

Compensation: The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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Key responsibilities include:

• Engineering GTM tools: Architect and deploy production-ready agents using the Cloudflare stack (Workers, Agents SDK, Sandbox SDK, Durable Objects etc..).
• AI enablement: Design autonomous workflows using Workers AI and Vectorize (RAG) to automate technical case studies, sales enablement, and event messaging.
• Rapid development: Utilize AI coding assistants (Claude Code, Windsurf, or OpenCode) to move from concept to a shipped internal tool in weeks.
• Technical ownership: Partner with sales/marketing to identify gaps, then build, launch, and manage the internal lifecycle of your technical solutions.

Requirements include:

• Currently pursuing a degree or program in CS or Engineering with a focus on building functional systems.
• Ability to commit to a minimum 12-week summer internship.
• In-office 3-5 days a week in Austin.
• Strong skills in TypeScript/JavaScript, React, and Tailwind CSS, with experience building/consuming RESTful APIs and working with SQL or NoSQL databases.
• Proficiency with Git/GitHub and hands-on experience with AI coding environments (Claude Code, Windsurf, or OpenCode).

Nice-to-have skills include Cloudflare Native and Startup Experience.

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This hire will be instrumental in signalling and forecasting accurate demand, planning inventory levels, and ensuring that Anduril supports its hardware requirements via Enterprise Resource Planning (ERP) software and other associated tools.

The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment.

Key Responsibilities:

• Manage day-to-day demand signalling, ordering, and inventory for various product lines.
• Identify and resolve supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams.
• Lead Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines.
• Work with Business Development and Growth teams to align forecasts with actual demand plans.
• Report on and analyse supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development.
• Develop and maintain processes within MRP systems and associated master data.
• Drive strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

Requirements:

• Bachelor's degree in a technical field (i.e. manufacturing, engineering, analytics, computer science, etc.) or business field (i.e. finance, economics, supply chain management, business administration, marketing, etc.).
• 6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.
• Complete ownership of a complex value chain, coordinating between multiple internal and internal parties to ensure on-time deliveries and adherence to quality standards.
• Technical expertise including ability to read technical documentation and understanding hardware manufacturing processes.
• Experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce.
• Ability to travel up to 10% of the time.
• Ability to relocate, if not already local to be onsite in Costa Mesa, CA.

Preferred Qualifications:

• Master's degree or other higher education.
• 8+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.
• Strong experience with SQL databases, including building custom queries for production and inventory metrics.
• Proficiency in data analysis and reporting tools such as Tableau, Power BI, or Qlikview.
• Knowledge of supply chain planning systems like Blue Yonder and best practices in demand planning, inventory management, and S&OP.
• Experience with lean manufacturing, continuous improvement, six sigma principles, and big data evaluation techniques.
• Proactive, able to take substantial responsibility across various functions, with a focus on speed and accuracy.
• Ability to obtain and maintain a U.S. TS clearance

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Requirements:

• 3+ years of experience working as a software engineer
• Experience creating libraries and tools for engineers and operations
• Experience building and designing scalable backend systems
• Experience working with SQL or NoSQL databases
• Familiarity with software engineering development cycles
• Experience working with backend programming languages (Java, Kotlin, Python)
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking

Bonus points:

• Experience collaborating with experts in product, design, and operations
• Familiarity with functional programming languages
• Strong writing skills
• Proactive approach

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We're looking for a talented Software Engineer to join our internship program. As a member of our team, you'll have the opportunity to build solutions that drive direct business impact and shape our long-term technical vision with a high-quality bar.

Responsibilities:

• Build products, services, and infrastructure that scale with speed and intention
• Work in partnership with your mentor and team to deliver high-quality solutions
• Learn and push the frontier of providing the best financial software experience to help companies grow

Requirements:

• Graduating from a BA/BS program in 2026
• Computer Science or Computer Engineering or Software Engineering degree
• Availability to participate in the program from April to December 2026
• Strong knowledge of CS fundamentals
• Strong communication, interpersonal skills, and eagerness to learn from others
• Experience working with backend programming languages (i.e. Java, Kotlin, Python)
• Experience working with SQL or NoSQL databases

Bonus points:

• Experience collaborating with experts in product, design, and operations
• Familiarity with functional programming languages
• Strong writing skills
• Proactive approach
• Experience with corporate financial systems or concepts
• Experience with cloud computing systems & services

Where you'll work:

This role will be remote.

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This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions.

As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.

• Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.

• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.

• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.

• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.

• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.

• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.

• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.

• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.

Qualifications:

• Experience: Minimum of 7+ years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.

• Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization.

• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.

• Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.

• Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.

• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.

Preferred Skills:

• Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.

• Familiarity with automation tools and CI/CD pipelines.

• Understanding of data governance and compliance requirements.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.

• Career Growth: Opportunities for professional development and career advancement.

• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

PLEASE NOTE: THE ROLE INVOLVES WORKING IN THE EMEA TIMEZONE

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As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder.

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers
• Tune and polish features to a high degree of excellence
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment. This person will be flexible to provide support wherever needed to ensure products are built and shipped under stringent quality standards.

Responsibilities:

Manage day-to-day demand signalling, ordering, and inventory for various product lines.

Identify and resolve supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams.

Lead Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines.

Work with Business Development and Growth teams to align forecasts with actual demand plans.

Report on and analyse supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development.

Develop and maintain processes within MRP systems and associated master data.

Drive strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

Required Qualifications:

Bachelor's degree in a technical field (i.e. manufacturing, engineering, analytics, computer science, etc.) or business field (i.e. finance, economics, supply chain management, business administration, marketing, etc.).

6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.

Complete ownership of a complex value chain, coordinating between multiple internal and internal parties to ensure on-time deliveries and adherence to quality standards.

Technical expertise including ability to read technical documentation and understanding hardware manufacturing processes.

Experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce.

Ability to travel up to 10% of the time.

Ability to relocate, if not already local to be onsite in Costa Mesa, CA.

Preferred Qualifications:

Master's degree or other higher education.

8+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.

Strong experience with SQL databases, including building custom queries for production and inventory metrics.

Proficiency in data analysis and reporting tools such as Tableau, Power BI, or Qlikview.

Knowledge of supply chain planning systems like Blue Yonder and best practices in demand planning, inventory management, and S&OP.

Experience with lean manufacturing, continuous improvement, six sigma principles, and big data evaluation techniques.

Proactive, able to take substantial responsibility across various functions, with a focus on speed and accuracy.

Ability to obtain and maintain a U.S. TS clearance.

Salary: The salary range for this role is $129,000-$171,000 USD.

Benefits:

Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.

UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.

IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees.

Generous time off: Highly competitive PTO plans with a holiday hiatus in December.

Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.

Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.

Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.

Additional work-life services, such as legal and financial support, are also available.

Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region.

Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

UK & IE Roles: Pension plan with employer match.

AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams:

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates.

We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers.

These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process.

Please always verify communications:

Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.

If you suspect any suspicious activity, please verify the agency's authenticity by reaching out

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Key responsibilities include:

• Design, develop, and deploy high-quality features across Dialpad's web and desktop-native applications.
• Write clean, modular, and maintainable code using best practices along with unit & integration tests.
• Participate in code reviews to ensure code quality, maintainability, and scalability.
• Ensure that features are shipped on time and with the highest quality.
• Participate in a rotating team on-call schedule to quickly diagnose and resolve critical issues, ensuring a seamless customer experience.
• Collaborate with cross-functional teams to build and use common components and practices across Dialpad products.
• Mentor junior engineers and help them grow their skills and expertise.

Requirements include:

• 5+ years of professional experience in Full-Stack Software Engineering.
• Strong experience with Python, APIs, Vue/React, HTML, CSS, JavaScript, TypeScript, GraphQL, GCP, or other cloud infrastructures, etc.
• Practical experience designing, deploying, and optimizing solutions leveraging serverless computing, microservices, and event-driven architectures.
• Proficiency with both SQL and NoSQL databases.
• Experience with building reusable and modular components for both frontend and backend.
• Experience with mentoring junior engineers and helping them grow their skills.
• Experience with RESTful APIs and GraphQL schemas.
• Bachelor's degree in Computer Science or equivalent practical experience.
• Proven ability to design, build, launch, and maintain at least two large-scale production systems.
• Experience with Agile development methodologies.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.

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The ideal candidate will have a strong background in supply chain or production, with experience in a fast-paced manufacturing environment dealing with complex assemblies. They will also have technical expertise, including the ability to read technical documentation and understand hardware manufacturing processes. Additional preferred qualifications include experience with ERP systems, SQL databases, and data analysis and reporting tools.

This is a full-time role that requires the ability to travel up to 10% of the time. The salary range for this role is $98,000-$130,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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Your responsibilities will include driving the design and implementation of new features, creating high-quality, maintainable code, and collaborating with other engineers. You'll also work cross-functionally with other teams, including data science, design, product, marketing, and analytics.

To succeed in this role, you'll need 4+ years of development experience in software engineering, proficiency in at least one JVM programming language, and experience with major frameworks like Spring, Spring Boot. You'll also need hands-on experience with SQL databases, cloud environments, and streaming and messaging technologies.

This is a full-time position with a salary range of $199,000-$244,000, plus equity and benefits. The role will be hybrid from our Vancouver office, with 2 days a week in the office required.

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You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You'll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

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This hire will be instrumental in signalling and forecasting accurate demand, planning inventory levels, and ensuring that Anduril supports its hardware requirements via Enterprise Resource Planning (ERP) software and other associated tools. The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment.

Responsibilities:

• Manage day-to-day demand signalling, ordering, and inventory for various product lines.
• Identify and resolve supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams.
• Lead Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines.
• Work with Business Development and Growth teams to align forecasts with actual demand plans.
• Report on and analyse supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development.
• Develop and maintain processes within MRP systems and associated master data.
• Drive strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

Requirements:

• Bachelor's degree in a technical field (i.e. manufacturing, engineering, analytics, computer science, etc.) or business field (i.e. finance, economics, supply chain management, business administration, marketing, etc.).
• 6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.
• Complete ownership of a complex value chain, coordinating between multiple internal and internal parties to ensure on-time deliveries and adherence to quality standards.
• Technical expertise including ability to read technical documentation and understanding hardware manufacturing processes.
• Experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce.
• Ability to travel up to 10% of the time.
• Ability to relocate, if not already local to be onsite in Costa Mesa, CA.

Preferred Qualifications:

• Master's degree or other higher education.
• 8+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies.
• Strong experience with SQL databases, including building custom queries for production and inventory metrics.
• Proficiency in data analysis and reporting tools such as Tableau, Power BI, or Qlikview.
• Knowledge of supply chain planning systems like Blue Yonder and best practices in demand planning, inventory management, and S&OP.
• Experience with lean manufacturing, continuous improvement, six sigma principles, and big data evaluation techniques.
• Proactive, able to take substantial responsibility across various functions, with a focus on speed and accuracy.
• Ability to obtain and maintain a U.S. TS clearance

XML job scraping automation by YubHub

This hire will be instrumental in signalling and forecasting accurate demand, planning inventory levels, and ensuring that Anduril supports its hardware requirements via Enterprise Resource Planning (ERP) software and other associated tools.

The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment.

Responsibilities: Manage day-to-day demand signalling, ordering, and inventory for various product lines. Identify and resolve supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams. Lead Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines. Work with Business Development and Growth teams to align forecasts with actual demand plans. Report on and analyse supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development. Develop and maintain processes within MRP systems and associated master data. Drive strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

Requirements: Bachelor's degree in a technical field (i.e. manufacturing, engineering, analytics, computer science, etc.) or business field (i.e. finance, economics, supply chain management, business administration, marketing, etc.). 6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies. Complete ownership of a complex value chain, coordinating between multiple internal and external parties to ensure on-time deliveries and adherence to quality standards. Technical expertise including ability to read technical documentation and understanding hardware manufacturing processes. Experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce. Ability to travel up to 10% of the time. Ability to relocate, if not already local to be onsite in Morrisville, NC.

Preferred Qualifications: Master's degree or other higher education. 8+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies. Strong experience with SQL databases, including building custom queries for production and inventory metrics. Proficiency in data analysis and reporting tools such as Tableau, Power BI, or Qlikview. Knowledge of supply chain planning systems like Blue Yonder and best practices in demand planning, inventory management, and S&OP. Experience with lean manufacturing, continuous improvement, six sigma principles, and big data evaluation techniques. Proactive, able to take substantial responsibility across various functions, with a focus on speed and accuracy. Ability to obtain and maintain a U.S. TS clearance

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You will work closely with the Product Manager and Product Designer to define the look, feel, and functionality of new features and review customer feedback. You will also serve as a subject matter expert on all building scalable, reliable, and maintainable distributed systems.

To be successful in this role, you will need to have solid architectural and security knowledge, backed by experience in designing, implementing, and evolving complex distributed systems. You will also need to have worked on projects that required close collaboration with external teams and have experience making those a success.

You will be a good mentor and communicator, able to explain complex concepts simply in person or in a document. You will know that while an engineer can write code, teams collaborate to ship successful products.

You will have solid previous experience with Node.js (JavaScript or Typescript) to build scalable backend services and creating and maintaining public and internal APIs. You will also have built frontend and full-stack apps and know what approach to use when.

You will have a good understanding of SQL databases and know how to debug and optimize table and query structure for performance under load. You will also have experience with Docker and cloud environments (AWS and Azure preferred).

Bonus points for experience with Kubernetes, knowledge of authentication protocols such as OAuth2, OIDC, SAML, understanding of event-driven architectures, especially Apache Kafka, understanding and experience of DevOps culture, and knowledge of security engineering and application security.

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In this role, you will work with engineers, designers, and Product Managers to break down roadmap initiatives into well-scoped, executable work. You will test, document, and maintain a codebase that is an example to our engineers and supports the scale of the business.

To succeed in this role, you will need 5-10 years of relevant software engineering experience building production web applications. You should have strong proficiency in either backend (Python, Node.js) or frontend (React, Angular) development as your primary discipline, and working knowledge of the other side of the stack. You should also have hands-on experience with relational and NoSQL databases, familiarity with search technologies, and experience with RESTful API design and backend service development.

Strong interpersonal and communication skills, as well as the ability to take end-to-end ownership, are essential for this role.

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As a Software Engineer III - Python, you will design and develop complex, large-scale distributed systems that handle millions of customer requests daily. You will take ownership of customer-facing features and continuously deliver improvements that empower users with actionable insights from our platform.

Key Responsibilities:

• Design and Develop: Build and deploy complex, large-scale distributed systems that handle millions of customer requests daily.
• Customer-Facing Innovation: Take ownership of customer-facing features and continuously deliver improvements that empower users with actionable insights from our platform.
• 3rd Party Integrations: Develop and integrate with external conferencing and communication platforms using various SDKs and APIs.
• Collaboration: Work closely with cross-functional teams including product managers, data scientists, and front-end engineers to deliver a seamless user experience.

Requirements:

• Backend Development: 5+ years of experience in software development, with expertise in Python (preferred), NodeJS, Java, or Scala.
• Distributed Systems: Proven experience in designing and developing distributed microservices and large-scale systems.
• API Development: Strong understanding and hands-on experience with RESTful API standards.
• Cloud Infrastructure: Experience working with cloud-based platforms, ensuring performance, scalability, and security of services.
• Database Management: Familiarity with both NoSQL and SQL databases, optimizing for performance and scalability.
• Communication & Leadership: High interpersonal skills, with the ability to communicate technical ideas clearly and mentor junior engineers.
• Adaptability: A willingness to work with a variety of technologies and to take ownership of different parts of the product.

Education: BSc in Computer Science, Mathematics, Software Engineering, or equivalent professional experience.

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As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements.

Key Responsibilities:

• Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability.
• Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction.
• Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence.
• Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform.
• Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers.
• Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency.
• Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity.
• Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes.
• Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features.

Qualifications:

• Experience: Minimum of 12 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies.
• Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimisation.
• Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach.
• Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders.
• Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience.
• Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams.
• Education: Bachelor’s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable.

Preferred Skills:

• Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases.
• Familiarity with automation tools and CI/CD pipelines.
• Understanding of data governance and compliance requirements.

Why Join Us?

• Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company.
• Career Growth: Opportunities for professional development and career advancement.
• Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement.

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.

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As an RSA, you will serve as a trusted technical advisor and hands-on expert, guiding customers to solve complex big data challenges using the Databricks platform.

Key responsibilities include:

• Collaborating with customers to understand their data and AI transformation goals and developing tailored solutions using the Databricks platform
• Designing and implementing scalable and secure data architectures using Apache Spark, Delta Lake, and other Databricks technologies
• Providing expert-level technical guidance and support to customers during the implementation process
• Identifying and addressing potential roadblocks and providing creative solutions to overcome them

Requirements include:

• 10+ years of experience with Big Data Technologies such as Apache Spark, Kafka, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role
• 4+ years of experience as a Solution Architect creating designs, solving Big Data challenges for customers
• Expertise in Apache Spark, distributed computing, and Databricks platform capabilities
• Comfortable writing code in Python, PySpark, and Scala
• Exceptional SQL, Spark SQL, Spark-streaming skills
• Advanced knowledge of Spark optimizations, Delta, Databricks Lakehouse Platforms
• Expertise in Azure
• Expertise in NoSQL databases (MongoDB, Redis, HBase)
• Expertise in data governance and security (Unity Catalog, RBAC)
• Ability to work with Partner Organization and deliver complex programs
• Ability to lead large technical delivery teams
• Understands the larger competitive landscape, such as EMR, Snowflake, and Sagemaker
• Experience of migration from On-prem / Cloud to Databricks is a plus
• Excellent communication and client-facing consulting skills, with the ability to simplify complex technical concepts
• Willingness to travel for onsite customer engagements within India
• Documentation and white-boarding skills

Good-to-have Skills:

• Experience with ML libraries/frameworks: Scikit-learn, TensorFlow, PyTorch
• Familiarity with MLOps tools and processes, including MLflow for tracking and deployment
• Experience delivering LLM and GenAI solutions at scale (RAG architectures, prompt engineering)
• Extensive experience on Hadoop, Trino, Ranger and other open-source technology stack
• Expertise on cloud platforms like AWS and GCP

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The ideal candidate will have a strong background in supply chain management, with experience in managing a direct team and owning complex value chains from start to finish. They will be able to distill and communicate complex scenarios to executives for strategic decision-making and alignment.

Key responsibilities will include:

• Developing and executing supply & demand plans that support the company's sales forecasts and business strategies
• Leading the Supply & Demand planning team to ensure efficient and effective execution of planning activities
• Collaborating through S&OP with various departments, including sales, operations, and finance, to gather relevant data for accurate supply forecasting
• Managing inventory levels to meet service level targets while minimizing excess and obsolete inventory
• Monitoring supplier performance, ensuring timely delivery of materials, and addressing any supply chain disruptions proactively

The successful candidate will have a strong technical expertise, including ability to read technical documentation, drawings, and CAD data, understanding of a variety of hardware manufacturing processes for both electronics (PCBAs, sensor hardware, etc.) and structures/mechanisms.

We offer a highly competitive salary range of $99,000-$131,000 USD, plus highly competitive equity grants and top-tier benefits for full-time employees.

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You'll architect and implement infrastructure that powers our GraphQL-based federated query system for seamless data access across platforms including BigTable, BigQuery, and Solr+.

This is a unique opportunity to influence the technical direction of ZoomInfo's core data infrastructure, addressing complex challenges such as data freshness, multi-tenant isolation, and real-time data processing at scale.

Responsibilities:

• Design and build scalable infrastructure for GTM Store and ZDP with sub-second query latency.
• Architect and implement metadata-driven GraphQL APIs for dynamic schema generation and query federation.
• Develop asynchronous secondary indexing systems for scaling capacity and reducing primary data store load.
• Design real-time analytics streaming data pipelines from BigTable to BigQuery.
• Develop data mutation and deletion frameworks supporting GDPR compliance and schema evolution.
• Implement CDC pipelines and calculated field processing for derived data views.
• Build observability and monitoring solutions for real-time issue diagnosis across distributed data systems.
• Create batch and streaming data processing workflows for complex relationships at scale.
• Collaborate with engineering leaders and product managers to define the technical roadmap.
• Mentor engineers and establish best practices for cloud-native data infrastructure development.
• Partner with cross-functional teams to address data platform requirements and challenges.
• Drive solutions for data freshness, query performance, and system reliability challenges.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• 10+ years of software engineering experience building large-scale data platforms.
• Expertise with distributed NoSQL databases and data warehousing systems.
• Strong experience with Java 8+, Scala, Kotlin, GoLang for data systems development.
• Proven experience with GCP or AWS and cloud-native architectures.
• Experience with streaming/real-time data processing technologies.
• Strong system design skills for architecting multi-tenant, distributed systems.
• Hands-on experience with Google Cloud Platform services.
• Knowledge of CDC patterns, event sourcing, and streaming architectures.
• Experience solving data freshness and consistency challenges in distributed systems.
• Background in building observability and monitoring solutions for data platforms.
• Familiarity with metadata management and schema evolution.
• Experience with Kubernetes for deploying data services.
• SQL query optimization and performance tuning expertise.
• Experience building GraphQL APIs with federated or metadata-driven schema generation.
• Strong problem-solving skills and the ability to debug complex distributed systems issues.
• Excellent communication skills for explaining technical decisions to diverse audiences.
• Self-directed with the ability to drive initiatives independently while collaborating with teams.
• Passion for building reliable, observable, and maintainable systems.
• Experience promoting diverse, inclusive work environments.

Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process.

We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$163,800-$257,400 USD

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This position is needed to expand the cross-channel conversations team in Twilio. The team is working on building the next-generation omni-channel platform and data layer that bridges all Twilio channels, including Voice, Messaging, and Email, to empower businesses to engage with millions of customers at scale with highly personalized, data-driven interactions.

As a Software Engineer (L3), you'll collaborate with other team members, including our Product team, to help influence, own, and improve our product offering. You'll design, build, and maintain massively scalable, highly reliable, and resilient Java and Go services hosted in AWS cloud working in a fast-growing and engineering-focused company.

Responsibilities:

• Collaborate with other team members, including our Product team, to help influence, own, and improve our product offering
• Design, build, and maintain massively scalable, highly reliable, and resilient Java and Go services hosted in AWS cloud working in a fast-growing and engineering-focused company
• Design customer-focused and scalable software in a distributed system
• Work with other engineering teams and with members of the product organization to distill internal and customer needs into requirements and tech specs
• Build features without having all the answers; adopt new technologies and strategies where applicable
• Cultivate a culture of ownership and growth by mentoring engineers and sharing technical expertise
• Prevent, troubleshoot, and investigate production incidents by developing automated remediation processes
• Participate in Agile ceremonies for software development and contribute to the testing of our code and the delivery of what we create to production
• Use AI coding assistants like Claude and Codex to streamline and automate your development process

Qualifications:

• 5+ years experience in designing, building, and operating high-scale, mission-critical cloud-based production systems
• Extensive experience with RESTful API design and development
• Bachelor's degree in Computer Science or related industry experience
• Familiarity with Java or Go, and applying best practice coding standards and writing high-quality code
• Excellent written and verbal communication skills
• Experience with AWS, GCP, or other public cloud providers
• Good understanding and hands-on experience working with SQL and NoSQL databases

Desired:

• Prior experience building large-scale, high-throughput datastores on DynamoDB
• Experience building and deploying multi-regional systems
• Experience with container technology - Docker/Kubernetes

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation:

The estimated pay ranges for this role are as follows:

• Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington D.C.: $138,300-$173,000
• Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,200-$183,600
• Based in the San Francisco Bay area, California: $163,100-$203,900

This role may be eligible to participate in Twilio's equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.

The successful candidate's starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

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Key responsibilities:

Own the technical journey - Lead end-to-end onboarding for new customers,from authentication setup to data mart configuration

Integrate customer systems with Zus (APIs, SFTP, HL7, FHIR,the whole interoperability stack)

Translate messy business requirements into clean technical architectures

Build and maintain automated workflows that make implementations faster and more reliable

Drive customer success through technical excellence - Be the trusted technical advisor customers call when things get complicated

Run technical deep dives and implementation reviews that actually move the needle

Identify integration risks before they become blockers and solve them proactively

Train customers on best practices so they become power users, not support tickets

Innovate on process - Use AI tools (LLMs, automation platforms, scripting) to eliminate manual work and scale your impact

Build templates, scripts, and tooling that make the 10th implementation faster than the 1st

Document learnings and create repeatable playbooks through automation that make the whole team better

Collaborate with R&D - Partner closely with Product and Engineering to surface integration challenges and opportunities for platform improvement

Translate real-world customer integration patterns into product feedback and roadmap insights

Collaborate with R&D teams on emerging capabilities around AI, data pipelines, and developer tooling

Act as the voice of the customer when identifying opportunities to improve developer experience and reduce integration friction

You'll enjoy solving messy integration challenges, building automation that eliminates manual work, and partnering closely with Product and Engineering to continuously improve the platform.

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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.

Responsibilities:

• Design & Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability.
• Infrastructure & Data Platforms: Develop and improve infrastructure for data storage and processing – for example, high-performance databases and modern data processing frameworks – to handle Plaid's growing data and product needs.
• Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency.
• Security & Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms (e.g. data encryption, access controls, audit logging) to protect sensitive financial data.
• Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities.
• Technical Excellence & Leadership: Uphold high engineering standards through code reviews, testing, and documentation.

Qualifications:

• Experience: 2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms.
• Strong Coding Skills: Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++).
• Distributed Systems & Problem Solving: Deep understanding of system design and algorithms.
• Data and Databases: Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB).
• Collaboration & Communication: Excellent communication and teamwork skills, with the ability to work effectively in a cross-functional environment.

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.

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As an engineer on the storage team, you will have the opportunity to influence the strategy of the team and design, deploy, and scale the online storage platform at Plaid. You will build services and tools to improve operation automations. You will optimize query performance and infrastructure cost. You will wield terraform and cloud resources with confidence and certainty. You will partner with our stakeholder teams to understand their current storage and future storage requirements. You will improve the user experience that partner teams have interacting with the storage platform.

Responsibilities

• Build and scale systems to support large datasets and high-throughput workloads with strong performance and reliability guarantees
• Design and evolve resilient, distributed storage systems that operate reliably
• Navigate ambiguity and drive clarity across complex storage and infrastructure challenges
• Diagnose and resolve deeply technical issues within storage engines, including analyzing internal behavior and, when necessary, diving into source code
• Lead careful, reliability-focused migrations that minimize risk and ensure seamless transitions for dependent systems
• Build foundational storage capabilities that significantly reduce friction for product engineers, enabling teams to move faster and more confidently

Qualifications

• Strong software engineering experience with deep focus on backend and/or platform systems
• Deep expertise in storage technologies
• Experience deploying and orchestrating databases at scale
• Strong background in database performance optimization, preferably with SQL databases
• Experience designing and evolving storage platforms
• Infrastructure experience with tools such as Terraform and AWS
• Hands-on experience with databases such as TiDB, MySQL, or MongoDB
• Experience building internal tooling and automation to improve reliability and developer efficiency

Nice to Have

• Demonstrated curiosity about evolving storage technologies and performance optimization techniques
• Production experience with Go and TypeScript
• Experience applying security best practices in storage or infrastructure systems

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are looking for a skilled and motivated Web Crawling Engineer to join our dynamic engineering team. The ideal candidate should have a solid background in distributed web crawling, scraping and data extraction, with experience using advanced tools and technologies to collect and process large-scale data from diverse web sources at large scale.

Responsibilities

As a Web crawling engineer, you will be responsible for:

• Developing and maintaining web crawlers using Go to extract data from target websites.
• Utilizing headless browsing techniques, such as Chrome DevTools, to automate and optimize data collection processes.
• Collaborating with cross-functional teams to identify, scrape, and integrate data from APIs and web pages to support business objectives.
• Creating and implementing efficient parsing patterns using tokenizers, regular expressions, XPaths, and CSS selectors to ensure accurate data extraction.
• Designing and managing distributed job queues using technologies such as Redis, Aerospike and Kubernetes to handle large-scale distributed crawling and processing tasks.
• Developing strategies to monitor and ensure data quality, accuracy, and integrity throughout the crawling and indexing process.
• Continuously improving and optimizing existing web crawling infrastructure to maximize efficiency and adapt to new challenges.

About You

Core programming and web technologies

• Proficiency in Go (Golang)/Rust/Zig for building scalable and efficient web crawlers.
• Deep understanding of TCP, UDP, TLS and HTTP/1.1,2,3 protocols and web communication.
• Knowledge of HTML, CSS, and JavaScript for parsing and navigating web content.
• Familiarity with cloud platforms (AWS, GCP), orchestration (Kubernetes, Nomad), and containerization (Docker) for deployment.

Data Structures & Algorithms

• Mastery of queues, stacks, hash maps, and other data structures for efficient data handling.
• Ability to design and optimize algorithms for large-scale web crawling.

Web Scraping & Data Acquisition

• Hands-on experience with networking and web scraping libraries.
• Understanding of how search engines work and best practices for web crawling optimization.

Databases & Data Storage

• Experience with SQL and/or NoSQL databases (knowing Aerospike is a bonus) for storing and managing crawled data.
• Familiarity with data warehousing and scalable storage solutions.

Distributed Systems & Big Data

• Knowledge of distributed systems (e.g., Hadoop, Spark) for processing large datasets.

Bonus Skills (Nice-to-Have)

• Experience with web archiving projects & tooling, open-source archiving is a big plus!
• Experience applying Machine Learning to improve crawling efficiency or accuracy.
• Experience with low-level networking programming and/or userspace TCP/IP stacks.

Hiring Process

Here is what you should expect:

• Introduction call - 35 min
• Hiring Manager Interview - 30 min
• Live-coding Interview - 45 min
• System Design Interview - 45 min
• Deep dive interview (optional) - 60min
• Culture-fit discussion - 30 min
• Reference checks

Additional Information

Location & Remote

This role is primarily based in one of our European offices , Paris, France and London, UK. We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting , currently France, UK, Germany, Belgium, Netherlands, Spain and Italy. In any case, we ask all new hires to visit our Paris HQ office:

• for the first week of their onboarding (accommodation and travelling covered)
• then at least 2 days per month

What we offer

💰 Competitive salary and equity

🧑‍⚕️ Health insurance

🚴 Transportation allowance

🥎 Sport allowance

🥕 Meal vouchers

💰 Private pension plan

🍼 Parental : Generous parental leave policy

🌎 Visa sponsorship

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As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta's AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta's customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience in backend system architecture, cloud services, or related technology fields.
• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Previous experience working with Virtual Agent or AI Agent systems.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family.
• Flexible PTO to take the time you need, when you need it.
• Paid parental leave for all new parents welcoming a new child.
• Retirement savings plan to help you plan for the future.
• Remote work setup budget to help you create a productive home office.
• Monthly wellness and communication stipend to keep you connected and balanced.
• In-office meal program and commuter benefits provided for onsite employees.

Compensation at Cresta:

• Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
• The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000–$270,000 + Offers Equity

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At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable.

As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.
• 5+ years of experience in backend system architecture, cloud services, or related technology fields.
• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Previous experience working with Virtual Agent or AI Agent systems.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

Perks & Benefits:

• 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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About the Role: As a Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.
• 2+ years of experience in backend system architecture, cloud services, or related technology fields.
• Knowledge in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.
• Bonus: experience working with Virtual Agent or AI Agent systems.

Perks & Benefits:

• 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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Responsibilities:

• Design and develop scalable data architectures using cloud-based technologies such as AWS and Azure
• Develop and maintain ETL processes to extract, transform, and load data from various sources
• Collaborate with data scientists to develop and deploy machine learning models
• Ensure data quality, security, and compliance with regulatory requirements
• Work with stakeholders to identify business needs and develop data solutions

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 3+ years of experience in data engineering or a related field
• Strong understanding of data architecture, design patterns, and best practices
• Experience with cloud-based technologies such as AWS and Azure
• Proficiency in programming languages such as Python, Java, or C++
• Excellent problem-solving skills and attention to detail

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or related field
• Experience with big data technologies such as Hadoop, Spark, or NoSQL databases
• Familiarity with data visualization tools such as Tableau, Power BI, or D3.js
• Certification in data engineering or a related field

Benefits:

• Competitive salary and benefits package
• Opportunity to work with a leading technology business
• Collaborative and dynamic work environment
• Professional development opportunities

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We are seeking a senior backend engineer to join our team in Shenzhen, China. As a senior backend engineer, you will be responsible for designing, developing, and optimizing our core backend systems, including payment gateways, settlement systems, mobile POS integrations, and financial service APIs.

Responsibilities

• Design, develop, and optimize high-performance backend services and APIs (REST/gRPC) using Kotlin or Java
• Participate in backend architecture design to ensure system high availability and scalability
• Troubleshoot and optimize system performance issues to ensure system stability
• Collaborate closely with frontend, product, and testing teams to drive project delivery
• Write high-quality, maintainable code and participate in code reviews
• Stay up-to-date with the latest trends in backend and cloud technologies

Requirements

• 5+ years of experience in backend development (Kotlin or Java)
• Familiarity with microservices architecture, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Proficiency in SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiarity with Docker, Kubernetes, and message queue systems (Kafka)
• Familiarity with API design (REST/gRPC) and version control (GitHub)
• Familiarity with agile development processes and good team collaboration skills
• Good English communication skills (Mandarin or Cantonese is a plus)
• Experience in financial technology, payment, or settlement systems is a plus

Preferred Skills

• High concurrency and large-scale system development experience
• Understanding of DevOps, CI/CD pipelines, and ability to drive automation deployment and operations
• Experience in distributed systems or data architecture design
• Contributions to open-source communities or personal technical blogs

Why Join Kody?

• Global technology company with offices in Singapore, London, and Hong Kong
• Flexible work arrangements in Shenzhen and Hong Kong
• Technology-driven culture with engineers having core influence on product decisions
• Challenging projects, including large-scale backend architecture design and optimization
• Competitive salary and benefits to reward your technical contributions

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At Kody, we're redefining how businesses take payments and access financial services. As a fast-growing Fintech, we partner with some of the most recognised names in hospitality, F&B, and retail across Hong Kong, helping them modernise payments, settlement, and digital financial experiences.

Our Hong Kong tech team runs like a startup within a scaling company, i.e. agile, innovative, and deeply product-driven. We're now looking for a Senior Backend Engineer to help us build the next generation of payment and settlement infrastructure.

Why Join Us?

• Work with industry-leading brands in Hong Kong and across the region
• Join a fast-moving, innovative tech culture with the stability of a growing international company
• Build with modern tools and stacks: Kotlin, Kafka, Kubernetes, Redis, PostgreSQL, and cloud-native frameworks
• Enjoy flexibility while working with a passionate, highly skilled engineering team
• Access learning and development and the opportunity to travel for collaboration with our global tech teams

Your Role

As a Senior Backend Engineer, you'll be at the heart of our platform, designing and scaling systems that power Kody's products, from payment gateways and settlement systems to mobile POS integrations and financial service APIs.

Responsibilities

• Design, build, and maintain backend services and APIs (REST/gRPC)
• Contribute to backend architecture and ensure system reliability and scalability
• Debug, troubleshoot, and optimise performance in production systems
• Collaborate with product, QA, and frontend teams to deliver robust, maintainable solutions
• Write clean, efficient, and well-tested code
• Stay current with modern backend and cloud technologies

Requirements

• 5+ years of experience in backend software development (Kotlin or Java)
• Strong understanding of microservices, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Proficiency in SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiar with Docker, Kubernetes, and event-driven systems (Kafka)
• Solid understanding of APIs (REST, gRPC) and version control (GitHub)
• Familiarity with agile development processes
• Fluent in English (Mandarin or Cantonese a plus)
• Fintech, payment, or settlement background is a plus

Benefits

• Competitive compensation and meaningful work impact
• Equity available
• Flexibility and a global, tech-driven culture
• Career growth opportunities within a fast-scaling fintech
• Work with ambitious teammates who think big and execute fast

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As a Senior Backend Engineer at Kody, you will be responsible for designing, developing, and optimizing our core backend systems, including payment gateways, settlement systems, mobile POS integrations, and financial service APIs.

Responsibilities

• Design, develop, and optimize high-performance backend services and APIs (REST/gRPC) using Kotlin or Java
• Participate in backend architecture design to ensure system high availability and scalability
• Troubleshoot and optimize system performance issues to ensure system stability
• Collaborate closely with frontend, product, and testing teams to drive project delivery
• Write high-quality, maintainable code and participate in code reviews
• Stay up-to-date with the latest developments in backend and cloud technologies

Requirements

• 5+ years of experience in backend development (Kotlin or Java)
• Familiarity with microservices architecture, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiarity with Docker, Kubernetes, and message queue systems (Kafka)
• Familiarity with API design (REST/gRPC) and version control (GitHub)
• Familiarity with agile development processes and good team collaboration skills
• Good English communication skills (Mandarin or Cantonese is a plus)
• Experience in financial technology, payment, or settlement systems is a plus

Preferred Qualifications

• Experience in high-concurrency, large-scale system development
• Understanding of DevOps, CI/CD pipelines, and ability to drive automation deployment and operations
• Experience in distributed systems or data architecture design
• Contributions to open-source communities or personal technical blogs

Why Join Kody?

• Global technology company with offices in Singapore, London, and Hong Kong
• Flexible work arrangements in Shenzhen and Hong Kong
• Technology-driven culture with engineers having core influence on product decisions
• Challenging projects, including large-scale backend architecture design and optimization
• Competitive salary and benefits to reward your technical contributions

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You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Responsibilities

• Apply data science and machine learning techniques to real-world business problems
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Develop and optimise data transformations for analytical and machine learning workloads
• Support the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

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Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Consultant/Senior Consultant in the Data Engineering & Data Science field, you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.

You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.

Your Tasks

• Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Set up data pipelines for analytical workloads
• Support the productive implementation of data and ML solutions, including monitoring and optimisation

What You Bring - Required

• At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics
• Hands-on experience in implementing data and analytics solutions in (customer) projects
• Strong problem-solving skills and a pragmatic, implementation-oriented way of working

Data Engineering Fundamentals

• Experience in setting up data pipelines (ingestion, transformation, storage)
• Solid understanding of data modeling, data transformations, and feature engineering
• Experience with cloud-based data platforms, such as:

1. Azure, AWS, or GCP
2. Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric

• Knowledge of CI/CD concepts and production-ready deployments

Applied Data Science & Analytics

• Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses
• Very good programming skills in Python
• Very good SQL skills and experience with relational databases
• Experience in deploying and productively using ML models
• Ability to translate analytical results into business-relevant insights
• Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

• Experience with:

1. Streaming technologies (e.g. Kafka, Azure Event Hubs)
2. Time series analysis, NLP applications, or system modeling
3. NoSQL databases (e.g. MongoDB, Cosmos DB)
4. Docker and Kubernetes
5. Data visualization tools like Power BI, Tableau
6. Cloud or architecture certifications

Language & Mobility (Germany)

• Fluent German skills (at least C1) for customer communication in the German-speaking market
• Very good English skills
• Project-related travel readiness

Your Team

You will become part of our growing Data & Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, and Analytics & Data Science.

About Infosys Consulting

You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.

We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? Then we look forward to your application - apply now!

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You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Your role will include:

• Applying data science and machine learning techniques to real-world business problems
• Working with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Developing and optimising data transformations for analytical and machine learning workloads
• Supporting the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP
• Understanding of CI/CD concepts and production-grade deployments

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases
• Experience deploying or supporting ML models in production environments
• Ability to translate analytical results into business-relevant insights
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)
• Familiarity with Docker and Kubernetes
• Experience with data visualisation tools (e.g. Power BI, Tableau)
• Cloud or data-related certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

About Your Role

As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.

Your Role Will Include:

• Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
• Translate business objectives into scalable, secure, and compliant data solutions
• Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
• Guide delivery teams through implementation, rollout, and production readiness
• Function as senior technical counterpart for client architects, IT leads, and engineering teams
• Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
• Support pre-sales and solution design activities from a technical perspective

Requirements

• 5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
• Proven experience leading enterprise data architecture workstreams or technical teams
• Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

• Strong expertise in modern data architectures, including:
• Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
• Modern Data Architecture design principles
• Batch and streaming data integration patterns
• Data Platform, DevOps, deployment and security architectures
• Analytics and AI enablement architectures
• Hands-on experience with cloud data platforms, e.g.:
• Azure, AWS or GCP
• Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
• Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
• Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
• Solid understanding of API-based and event-driven architectures
• Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

• Experience with data pipelines, orchestration, and automation
• Familiarity with CI/CD concepts and production-grade deployments
• Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

• Strong understanding of data management and governance principles, including:
• Data quality, metadata, lineage, master data management
• Data Management software and tools
• Security, access control, and compliance considerations
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

• Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
• Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
• Hands-on Experience with data governance or metadata tools
• Cloud, data, or architecture certifications

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

You will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. Our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being.

Our ETF development team is part of the Aladdin Engineering group. We manage a software platform that oversees the global iShares investment process. Together, we develop cutting-edge technology that transforms the interaction between information, people, and technology for global investment firms.

As a member of Aladdin Engineering, you will be working in a fast-paced and highly complex environment, collaborating with cross-functional teams in a multi-office, multi-country environment to define, design, and ship high-quality software solutions.

Responsibilities:

• Design, develop, deliver, and maintain applications with focus on high efficiency, high availability, concurrent and fault-tolerant software
• Demonstrate technical leadership of software design & architecture to support strategic product roadmap
• Collaborate with project managers, technical leads, and business analysts to contribute throughout the SDLC cycle
• Manage stakeholders for driving business decisions, negotiating priorities, and partner with various business teams to drive strategy and technology adoption
• Ensure scale, resilience and stability through risk identification and mitigation, quality code reviews, creating robust test suites, and providing level two support

Skills & Experience:

• Hands-on programming experience in Java and/or Python with OO skills and design patterns
• Exposure to building microservices and APIs ideally with Kafka or gRPC
• Experience working with relational and NoSQL databases (such as SQL Server, Apache Cassandra)
• Experience with DevOps, continuous integration, and continuous deployment (CI/CD) pipelines, and tools like Azure DevOps
• Strong problem-solving, analytical, and software architecture skills
• Experience in partnering with other teams, sponsors, and user groups who are on the same product journey
• Ability to work in Agile/Scrum development environments with strong teamwork, communication, and time management skills
• Innovative and a thought leader around new/cutting-edge technologies

Nice to Have:

• Exposure to and innovative thinking around AI workflows and code generation
• Experience with financial applications
• Experience with cloud native tools (such as Kubernetes, Docker) and cloud platforms (such as Azure, AWS, or GCP)
• Exposure to high scale distributed technologies such as Kafka, Ignite, Redis
• Experience or real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions

Qualifications:

• B.S. / M.S. college degree in Computer Science, Engineering, or related subject area
• 3+ years of hands-on development exposure

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.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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Responsibilities

You will play an integral role in the team responsible for the major build-out of functionality on the infrastructure platforms, services and associated backend infrastructure. You will collaborate with cross-functional teams to define, design, and deliver new features. You will manage specific aspects of the buildout, which includes planning and communicating with senior stakeholders.

You will prepare documentation, provide guidance, conduct code reviews, and offer mentorship to elevate the skills of the team and the quality of our projects. You will continuously explore and implement improvements to enhance efficiency and performance. You will troubleshoot and resolve issues across various environments and platforms.

Qualifications

You will have a comprehensive understanding of software architecture and design patterns. You will have minimum 5 years of expertise in Python, including at least one popular Python framework. You will have minimum 5 years of practical experience with web frameworks for building RESTful APIs in Python, such as Django or FastAPI.

You will have strong problem-solving skills with a proactive approach to addressing challenges. You will have minimum 5 years of practical experience in DevOps and Infrastructure roles. You will have experience in CI/CD pipeline design and automation tools. You will have familiarity with front-end technologies, such as JavaScript, HTML5 and CSS.

You will have experience with SQL/no-SQL databases. You will have experience with Cloud Technologies, such as Azure or AWS. You will have experience with containerization and orchestration technologies, like Docker or Kubernetes. You will have familiarity with Linux systems, equivalent to LPIC-2.

You will have knowledge of security best practices in software development. You will have familiarity with general IT infrastructure topics: Virtualization, Storage, Networking, etc.

This is a hybrid role, with 3 days per week working from our office in Bucharest.

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Constructor is seeking a Backend Engineer to join our Retail Media team. As a Backend Engineer, you will design, deliver, and maintain web services in close collaboration with other engineers.

Key Responsibilities

• Build, deploy, and support services using Python and FastAPI
• Write AWS CloudFormation scripts, Jenkins jobs, and GitHub actions following best industry standards
• Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch)
• Implement CI/CD pipelines and separate stability testing
• Collaborate with technical and non-technical business partners to develop and update functionalities

Requirements

• Strong computer science background and familiarity with networking principles
• Experience in designing, developing, and maintaining high-load real-time services
• Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources
• Hands-on experience with setting up and improving CI/CD pipelines
• Proficiency in Python
• Experience in server-side coding for web services and a good understanding of API design principles
• Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty
• Familiarity with Service-Oriented Architecture and knowledge of communication protocols like protobuf
• Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena)
• Experience with any of the major public cloud service providers: AWS, Azure, GCP
• Experience collaborating in cross-functional teams
• Excellent English communication skills

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity and paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k-$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options offered in addition to the base salary
• Regular team offsites to connect and collaborate

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Constructor is seeking a Backend Engineer to join its AI Shopping Agents team. The primary focus of this job is to design, deliver & maintain web and data pipeline services in close collaboration with other engineers.

Responsibilities

• Build, deploy, and support backend services
• Define cloud infrastructure using AWS CloudFormation and maintain CI/CD pipelines with GitHub Actions
• Improve and operate our observability stack
• Collaborate with technical and non-technical stakeholders to design, develop, and refine features
• Communicate effectively with stakeholders within and outside the team
• Contribute to data processing pipelines and ETL processes

Requirements

• Strong proficiency in Python and server-side web development (API design, concurrency/asynchronous programming)
• Experience designing, building, and operating production backend services (performance, reliability, on-call/operations mindset)
• Experience with Infrastructure as Code and cloud resource management (AWS preferred; Azure/GCP also fine)
• Hands-on experience building or maintaining CI/CD pipelines
• Experience with observability: metrics/logs/traces, dashboards, and alerting
• Experience working with databases, including at least one relational and one NoSQL system (e.g., PostgreSQL, DynamoDB)

Nice to Haves

• Experience with high-load and/or real-time systems
• Experience with distributed/service-oriented architectures, including interface definition and binary RPC (e.g., Protobuf/gRPC)
• Familiarity with additional vector databases
• Experience contributing to or owning ETL/data pipeline systems at scale

Benefits

• Work with smart and empathetic people who will help you grow and make a meaningful impact.
• Regular team offsite events to connect and collaborate.
• Fully remote team - choose where you live.
• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year.
• Work from home stipend! We want you to have the resources you need to set up your home office.
• Apple laptops provided for new employees.
• Training and development budget for every employee, refreshed each year.
• Maternity & Paternity leave for qualified employees.
• Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results.
• Stock options - offered in addition to the base salary

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We are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for analysing large datasets to gain insights and improve our racing performance.

Responsibilities:

• Collect and process large datasets from various sources, including telemetry data, weather forecasts, and track conditions
• Develop and implement machine learning models to predict racing outcomes and identify areas for improvement
• Collaborate with our engineering team to integrate data-driven insights into our racing strategy
• Develop and maintain data visualisation tools to communicate insights to the team
• Stay up-to-date with the latest developments in data science and machine learning
• Work closely with our data engineer to ensure data quality and integrity

Requirements:

• PhD in Computer Science, Mathematics, or a related field
• Strong programming skills in Python, R, or MATLAB
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Strong understanding of statistical concepts and data visualisation techniques
• Excellent communication and collaboration skills
• Ability to work in a fast-paced environment and meet deadlines

Preferred Skills:

• Experience with big data technologies such as Hadoop, Spark, or NoSQL databases
• Knowledge of SQL and database design
• Familiarity with cloud-based data platforms such as AWS or Google Cloud
• Experience with data visualisation tools such as Tableau, Power BI, or D3.js

Benefits:

• Competitive salary and benefits package
• Opportunity to work with a professional motorsport team
• Collaborative and dynamic work environment
• Access to state-of-the-art technology and equipment
• Professional development opportunities

How to Apply:

If you are a motivated and talented Data Scientist looking for a new challenge, please submit your application, including your CV and a cover letter, to [insert contact email]. We look forward to hearing from you!

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What you'll do

• Collaborate with product owners and senior engineers to design and implement backend solutions that enhance player experience
• Design Java backend services and REST APIs using Java, Spring Boot, and Microservices architecture

What you need

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of professional experience in backend or Java-based application development

XML job scraping automation by YubHub

What you'll do

• Collaborate with product owners and senior engineers to design and implement backend solutions that enhance player experience
• Design Java backend services and REST APIs using Java, Spring Boot, and Microservices architecture

What you need

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of professional experience in backend or Java-based application development

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