Location: Canada
Workplace: Remote
ABOUT THE TEAM
The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA.
THE ROLE
We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client.
WHAT YOU'LL DO
- Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap.
- Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them.
- Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it.
- Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features.
- Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly.
- Bring written proposals about where we invest next. You set direction rather than wait for it.
- Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt.
- Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try.
- Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks.
ABOUT YOU
- Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build.
- 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics.
- Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks.
- Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET.
- You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly.
- Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet.
- Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency.
- Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it.
- Thoughtful use of AI development tools, with the judgment to review what comes out.
- Clear writing. Most coordination happens in design docs, PRs and RFCs.
NICE TO HAVE
- ClickHouse, especially its type system, or another OLAP engine.
- C++ and ODBC driver internals.
- Building or maintaining an ADO.NET http://ADO.NET or EF Core provider.
- Open-source contributions to .NET or data infrastructure.
- Experience designing SDKs, docs or error messages with AI coding agents as the consumer.
- Protocol or wire-format work on a database driver or network client.
LEARN MORE
- Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026)
- What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026)
- Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026)
- Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026)
- The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp
- ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: New York; Detroit; Chicago; Atlanta; Boston
Workplace: Remote
ABOUT THE TEAM
The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA.
THE ROLE
We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client.
WHAT YOU'LL DO
- Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap.
- Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them.
- Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it.
- Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features.
- Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly.
- Bring written proposals about where we invest next. You set direction rather than wait for it.
- Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt.
- Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try.
- Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks.
ABOUT YOU
- Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build.
- 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics.
- Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks.
- Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET.
- You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly.
- Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet.
- Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency.
- Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it.
- Thoughtful use of AI development tools, with the judgment to review what comes out.
- Clear writing. Most coordination happens in design docs, PRs and RFCs.
NICE TO HAVE
- ClickHouse, especially its type system, or another OLAP engine.
- C++ and ODBC driver internals.
- Building or maintaining an ADO.NET http://ADO.NET or EF Core provider.
- Open-source contributions to .NET or data infrastructure.
- Experience designing SDKs, docs or error messages with AI coding agents as the consumer.
- Protocol or wire-format work on a database driver or network client.
LEARN MORE
- Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026)
- What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026)
- Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026)
- Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026)
- The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp
- ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
We are seeking a talented and experienced Unity Developer to join our growing development team in the United States. Design, develop, and maintain interactive applications and games using Unity.
УдалённоmiddleСША; Candidates from eligible locations across the United States are welcome to apply; Ability to collaborate with distributed teams across different time zones; We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
We are seeking a talented and experienced Game UI Engineer to join our game development team in the United States. Design, develop, and implement user interfaces for games and interactive applications.
УдалённоmiddleСША; Candidates from eligible locations across the United States are encouraged to apply; Ability to collaborate with distributed teams across different time zones; We welcome qualified candidates from diverse professional backgrounds and encourage applications from eligible candidates across the United States
Location: Mapbox Poland
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr.
We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU'LL DO
We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will:
- Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it.
- Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following.
- Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage.
- Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review.
- Partner with feature engineers on testability and review designs for how they will be verified.
- Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- 5+ years of experience in C++17: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis.
- Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems.
- A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change.
- Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs.
- Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders.
Would be a Plus
- Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon).
- Experience with replay- or simulation-based testing using real sensor and GPS data.
- Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage.
- Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings.
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
Our annual compensation for this role ranges from $75 - $100 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role).
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Location: Mapbox Germany
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr.
We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU'LL DO
We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will:
- Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it.
- Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following.
- Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage.
- Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review.
- Partner with feature engineers on testability and review designs for how they will be verified.
- Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- 5+ years of experience in C++17: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis.
- Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems.
- A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change.
- Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs.
- Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders.
Would be a Plus
- Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon).
- Experience with replay- or simulation-based testing using real sensor and GPS data.
- Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage.
- Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings.
EMPLOYMENT REQUIREMENTS
- Employment Type: Full-time
- Weekly Hours: 40 h per week
- Location/Hybrid Policy: Remote (from any city in Germany)
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Location: Mapbox Helsinki
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
WHAT WE DO
The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr.
We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons.
As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow.
WHAT YOU'LL DO
We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will:
- Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it.
- Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following.
- Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage.
- Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review.
- Partner with feature engineers on testability and review designs for how they will be verified.
- Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- Solid C++17 proficiency: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis.
- Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems.
- A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change.
- Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs.
- Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders.
Would be a Plus
- Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon).
- Experience with replay- or simulation-based testing using real sensor and GPS data.
- Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage.
- Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings.
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
HOW WE SUPPORT YOU
- Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable.
- Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits.
- Family-First Support: Family care, maternity and paternity leave policies to support your growing family.
- Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth.
- Balance & Brainpower: Mental health support for you and your dependents.
- Rest & Recharge: Paid time away, company holidays, and generous absence policies.
- Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Ищем Senior System Developer с сильной экспертизой в C++ и практическим опытом разработки HFT-систем и Market Making для централизованных криптовалютных бирж (CEX). Обязанности : ▫️Разработка, поддержка и оптимизация высокопроизводительной HFT-инфраструктуры и Market Making-систем.
УдалённоseniorREMOTE GLOBAL | CRYPTO / TRADING Формат: Full-time (100%) Локация: Remote, с пересечением рабочих часов с европейскими часовыми поясами
Location: Москва
Наша команда строит Единую агентскую платформу.
Enterprise harness – это окружение: среда и набор инструментов, который обеспечивает безопасную и контролируемую работу агента, использование инструментов и навыков, контролирует права, память, контекст, лимиты, аудит и безопасность.
В рамках агентской платформы вам предстоит разрабатывать и внедрять инструменты для окружения агентов. Мы адаптируем лучшие мировые практики, а также сотрудничаем с RnD-командами для пилотирования новых разработок на агентах Банка. Примеры направлений, которыми мы занимаемся:
* SkillOpt: автоматическая эволюция навыков агентов на основе трейсов и оценки LLM-as-a-Judge;
* Memory-as-a-Service: централизованный сервис памяти для агентов;
* AutoJudge: инструмент для подбора судей и метрик для оценки качества работы агентов.
Ожидаем от кандидата опыт в разработке AI-агентов и LLM-приложений (RAG, чат-боты), а также владение современными инструментами разработчика (agent-driven development).
Обязанности
* адаптировать код из open-source и от RnD-команд под требования и специфику платформы
* проектировать сервисы для агентского окружения с LLM под капотом
* подбирать критерии успеха, метрики для оценки качества работы агентов, формировать тестовые корзины для агентов
* изучать SotA-решения от лидеров рынка, составлять обзоры.
Требования
* высшее образование: математика, физика, информатика или профильный data science
* опыт от 2 лет в ML, NLP, LLM, AI-агентах
* уверенное знание Python, пишете код, который уходит в прод: есты, ревью, код-стайл
* английский B2 и выше для чтения статей и документации.
Условия
* владение современными инструментами разработчика (agent-driven development)
* публикации, доклады, open source.
Задачи:
— Разработка системных агентов и backend-модулей ТАУ на C++, сетевой части Сервера приложений и Сервиса сети ТАУ, а также низкоуровневых механизмов загрузки и репликации под Linux и Windows.
Требования:
— Опыт промышленной разработки на C/C++ не менее 3 лет и участие как минимум в одном проекте системного или серверного ПО, доведенном до эксплуатации или приемки;
— Продвинутое знание C++17 и выше, STL, алгоритмов, классических структур данных, модели памяти и принципов RAII;
— Опыт разработки многопоточных и асинхронных приложений для Unix-подобных систем, а также служб и агентов под Linux и Windows;
— Опыт работы с механизмами Shared Memory, mutex, semaphore и иными средствами межпроцессного взаимодействия и синхронизации;
— Глубокое знание UDP/TCP/IP, опыт сетевого программирования, сериализации, контроля целостности, flow control и восстановления соединений;
— Опыт реализации файловых операций, упаковки и проверки архивов, надежной передачи, возобновления загрузки, атомарной выкладки и восстановления после перезапуска;
— Умение выбирать оптимальные алгоритмы и структуры данных, аргументировать выбор, проводить профилирование, диагностику утечек и анализ производительности;
— Навыки разработки модульных, интеграционных, контрактных, нагрузочных и отказных тестов с mock-фреймворками и эмуляторами смежных систем и сетевых узлов;
— Практика безопасной разработки: валидация входных данных, управление секретами, контроль зависимостей и устранение уязвимостей;
— Уверенное владение Git, code review, CMake или сопоставимой системой сборки, CI/CD и документированием API, протоколов, параметров и порядка сборки;
— Опыт работы с резервированными сетевыми интерфейсами и обработки потерь, дублирования, перестановки пакетов, разрывов связи и восстановления подписок;
— Опыт интеграции с серверными API, брокерами сообщений и моделями данных, обеспечения обратной совместимости протоколов;
— Понимание защиты межсервисного взаимодействия, управления секретами, аудита и безопасного хранения конфигурации;
— Практическое владение ИИ-инструментами разработки для анализа C++-кода, генерации и рефакторинга, подготовки тестов и поиска дефектов;
— Обязательная проверка конкурентной логики, управления памятью, безопасности, лицензий и производительности ИИ-сформированных решений.
Желательные компетенции:
— Опыт разработки гипервизоров или приложений реального времени под Linux;
— Опыт разработки приложений и драйверов для систем промышленной автоматизации;
— Знание DeltaV, RTROC/ACN, OPC UA либо аналогичных промышленных систем и протоколов.
Подтверждение квалификации:
— Резюме и/или техническое собеседование с экспертами Заказчика;
— По запросу — примеры выполненных работ по соответствующему профилю.
Условия отклика:
— Отклик через форму: https://forms.gle/qxF3H1eiV4E4T7p19 или напрямую рекрутеру: @HReclipse
— Откликаться только при релевантном опыте.
— При первичном отклике необходимо указать: ID вакансии / ФИО / локация / возраст / занятость (работаете/нет) / формат работы (удаленка, гибрид, офис) / стек / опыт / резюме / сверка с требованиями.
— При повторном отклике: ID вакансии + сверка.
Задачи:
— Разработка производительных серверных и системных компонентов на C++.
Требования:
— Опыт промышленной разработки на C/C++ не менее 7 лет, включая участие в проектах, доведенных до эксплуатации или приемки.
— Продвинутое знание C++17 и выше, STL, алгоритмов, структур данных, RAII, модели памяти и управления ресурсами.
— Опыт многопоточного и асинхронного программирования, работы с mutex, semaphore, Shared Memory и межпроцессным взаимодействием.
— Опыт разработки приложений и служб под Linux и/или Windows, знание TCP/IP, сетевого ввода-вывода и сериализации.
— Умение обосновывать выбор алгоритмов, диагностировать утечки, гонки данных и взаимоблокировки, профилировать и оптимизировать приложение.
— Опыт модульных и интеграционных тестов, mock-фреймворков, отладчиков и средств статического и динамического анализа.
— Владение Git, code review, CMake или сопоставимой системой сборки, управлением зависимостями и CI/CD.
— Практическое владение ИИ-инструментами разработки для анализа C++-кода, подготовки тестов и рефакторинга.
— Умение проверять управление памятью, время жизни объектов, конкурентный код, безопасность и производительность.
Условия:
— Удалённая работа.
В отклике необходимо указать: ID вакансии, ФИО, локацию, возраст, занятость, формат работы, стек, опыт, резюме, сверку с требованиями.
Location: Zaragoza, Spain
Description
D-ploy is a leading IT and Engineering Solutions company with operations worldwide, including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA.
We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer's IT productivity and contribute to the organization's success and value.
We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us!
Role overview:
Provide onsite support for OT and automation systems, including PLC, SCADA, HMI, communication modules, and related industrial control systems. The role focuses on troubleshooting, incident resolution, system recovery, patching, backups, and compliant change execution in line with site QMS and GAMP 5 requirements.
Responsibilities
Support OT systems, incidents, service requests, and change management activities
Troubleshoot PLC, SCADA, OPC/PI, and industrial communication issues
Work with Siemens environments: TIA Portal, WinCC, Step 7, Step 5
Support Siemens PLC systems and automation infrastructure
Support Beckhoff automation systems (optional)
Support DeltaV systems and automation components (optional)
Analyze PLC CPU and communication diagnostics
Resolve software, firmware, configuration, and communication issues
Perform firmware, memory, and module health checks
Support OT patching, firmware upgrades, and software updates
Restore system communication and perform recovery actions
Support PLC programming modifications and control logic adjustments
Configure and maintain HMI/SCADA applications
Participate in commissioning, FAT, SAT, and validation activities
Support automation projects, upgrades, and system integrations
Trace I/O and field signals using E&I drawings and technical documentation
Perform OT backups, restore procedures, and disaster recovery support
Maintain validated system baselines and technical documentation
Execute and document changes according to QMS/GAMP 5 procedures
Coordinate with Engineering, Automation, IT, Production, Quality, OEMs, and vendors
Support OT cybersecurity, access control, and system hardening activities
Requirements
Experience with OT, industrial automation, or control systems environments
Strong knowledge of PLC and SCADA systems
Hands-on experience with Siemens TIA Portal, WinCC, and Step 7
Experience with Step 5, Beckhoff, or DeltaV is an advantage
Knowledge of industrial communication protocols such as OPC, PI, Ethernet/IP, Profinet, and Profibus
Understanding of PLC CPUs, I/O modules, firmware, and diagnostics
Experience with OT patching, backups, restore procedures, and change control
Ability to read E&I drawings, loop diagrams, I/O lists, and network diagrams
Experience in GMP/GxP or validated environments
Understanding of GAMP 5 and QMS processes
Familiarity with OT cybersecurity concepts
Strong troubleshooting and documentation skills
Ability to support production-critical systems onsite
Fluency in English
Valid criminal record extract, not older than three months, required
Benefits
Broad range of activities, tasks, and projects
Vouchers (B-day voucher, wedding, and new born surprise)
Fishing for Friends program – our referral program
Refreshments in the D-ploy office
Further development and professional advancement
Friendly and international working environment
Company-sponsored events
Is
IT
in your DNA?
Location: Singapore (Remote)
Workplace: Remote
INTRODUCTION TO THE ROLE
Temporal is a paradigm shift in modern application development, and one of the fastest developer movements in recent memory. Following our $550M Series E at a $12.5B valuation, we’re continuing to power the future of durable applications and have quickly become the orchestrator of choice for production agentic workloads.
As our first partnerships hire in ASEAN, based in Singapore, you’ll build our partner business from zero. There’s no existing partner book to inherit. You’ll identify, recruit and activate the SIs, GSIs and cloud partners who will shape how Temporal goes to market across Southeast Asia, and you’ll turn those relationships into partner-sourced pipeline and closed/won revenue. You’ll work hand-in-hand with our ASEAN field teams to execute with partners, and build a thriving partner ecosystem from the ground up. This role suits a hunter who thrives in white space and measures themselves on the number.
WHAT YOU’LL DO
- Build the ASEAN partner ecosystem from zero: identify, recruit, sign and activate priority SIs, GSIs and cloud partners, and shape the strategy for other partner motions over time
- Originate and close partner-sourced business, and accelerate partner-influenced deals, to help the ASEAN region exceed its number
- Work hand-in-hand with ASEAN sales to make partners a consistent part of account planning, pipeline creation and deal execution
- Co-sell with hyperscaler teams in the region to drive joint pipeline and consumption
- Partner with our Technical Services team to get SI and GSI practitioners trained, certified and delivering successful Temporal projects
- Represent ASEAN at APJ and global levels, working with global partner owners so local execution and global strategy reinforce each other
What You’ll Bring
- 7+ years in partnerships, alliances or enterprise sales in ASEAN, including building a partner ecosystem or territory from scratch
- A track record of originating partner-sourced pipeline and closing deals, with numbers you can point to
- Established relationships with regional and global SIs and hyperscaler partner teams across ASEAN
- Comfort in conversations with developer and architect personas; a background in developer platforms, cloud infrastructure, open source or AI is a strong plus
- Experience as an early or first hire in a region, operating without a playbook
- Maniacal attention to detail, excellent work ethic and unwavering commitment to delivering business results
- Demonstrated ability to build rapport with and influence sales, cross-functional teams, partner executives, and global alliance stakeholders
- Highly motivated self-starter - embraces white space, and turns that white space into opportunities and impact
- Willingness to travel regularly across Singapore, Indonesia, Malaysia, Thailand, Vietnam and the Philippines
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
PRODUCT AT BASETEN
Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.
We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.
THE ROLE
Help make training and fine-tuning AI models dramatically easier.
Training a model is hard enough. Developers shouldn't have to spend their time wrestling with infrastructure, waiting for GPUs, or figuring out why a job failed.
We're building a training platform that lets AI teams focus on improving their models instead of managing the systems underneath them.
As Product Manager for Training Platform, you'll own the developer experience for running training jobs on Baseten, from environment setup and job submission to scheduling, debugging, checkpointing, and recovery.
You'll work alongside engineers and researchers solving some of the hardest problems in distributed training, helping turn that complexity into a product developers can depend on.
RESPONSIBILITIES
- Own the product experience for training jobs, from setup and submission through execution, monitoring, and recovery
- Make distributed training easier to use, with intuitive workflows for scheduling, GPU availability, logs, checkpoints, and debugging
- Work closely with research and infrastructure teams to support different training workloads, including supervised fine-tuning and reinforcement learning
- Help developers recover from failures, reproduce experiments, and spend less time waiting on infrastructure
- Connect training with the rest of Baseten's platform, including Loops, model evaluation, and inference deployment
- Work directly with customers to understand how they train and adapt models, then turn those insights into product improvements
REQUIREMENTS
- Experience building and shipping AI/ML products or developer platforms
- A technical background in software engineering, ML engineering, research, or equivalent hands-on work
- Direct experience working with teams that train, fine-tune, or adapt machine learning models
- Strong understanding of distributed training concepts, including GPU memory, scheduling, data access, checkpointing, and fault recovery
- Familiarity with the infrastructure needs of supervised fine-tuning and reinforcement learning
- Strong product instincts for developer workflows and the ability to simplify technically complex systems
- Experience partnering with researchers and engineers to take new capabilities from concept to production
NICE TO HAVE
- Hands-on experience running distributed training, building ML developer tools, or working with trainer and sampler systems for reinforcement learning.
WHAT SUCCESS LOOKS LIKE
AI teams can run more experiments, recover from failures faster, and spend more of their time improving models instead of managing compute. Baseten becomes a natural place to train, fine-tune, and deploy custom AI models.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Los Angeles, California, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
Los Angeles, CA
Experience Level:
8+ years
Compensation:
$200,000–$250,000 base salary + equity
Work Model:
In-office, typically three to five days per week, depending on client requirements
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and in-office:
Our work is client-first, which means in-person collaboration may be required either at the client site. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the Los Angeles Metro area or within a reasonable commuting distance.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Don’t Meet Every Qualification Yet?
If you don’t meet every qualification for this role, we encourage you to apply to our
Forward-Deployed AI Engineer (In Training)
opportunity.
This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Intellias
Meet your recruiter
Gerasim Naydenov
gerasim.naydenov@intellias.com
https://www.linkedin.com...
Vacancy details
Data Engineering
Data Engineer
Principal
Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States
Remote
APPLY NOW
REFER A FRIEND
Intellias is looking for a
Lead Healthcare Data Engineer
to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information.
The role requires both
deep hands-on engineering expertise and broad technical influence
— establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team.
What project we have for you
We’re helping a US digital-health platform get its patients’ medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it’s pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts.
What you will do
Set the
technical direction for healthcare data engineering
across ingestion, transformation, validation, normalization, and delivery.
Own the end-to-end architecture of
large-scale distributed data pipelines
transforming heterogeneous source data into clean, standards-conformant FHIR.
Design and evolve scalable solutions using
Python, Spark/PySpark, Databricks/Delta Lake
, and modern data-processing technologies.
Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads.
Establish standards and reusable frameworks for
data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing
.
Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery.
Build and evolve automated testing and validation capabilities for
data quality and FHIR conformance
.
Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently.
Champion
PHI-safe engineering practices
and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements.
Make
AI-native engineering a practical part of the team’s development model
, using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks.
Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe.
Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both.
Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing.
Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation.
Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions.
Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions.
What you need for this
8+ years of professional experience
in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability.
Proven
Lead-level technical ownership
of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams.
Strong hands-on expertise in
Python
and production-grade data engineering.
Deep experience with
Apache Spark/PySpark at scale
, including partitioning, performance optimization, memory tuning, and distributed processing.
Experience with modern lakehouse technologies such as
Databricks and Delta Lake
, or comparable platforms.
Strong experience designing and operating large-scale
ETL/ELT pipelines
, including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads.
Proven experience diagnosing and eliminating complex
performance and scalability bottlenecks
in distributed data-processing systems.
Deep hands-on experience with
FHIR R4
, including resources, profiles, Bundles, validation, and large-scale healthcare data transformation.
Strong knowledge of
US Core, USCDI, HL7 v2.x
, and C-CDA-to-FHIR transformation patterns.
Strong understanding of healthcare terminology standards including
SNOMED CT, LOINC, and RxNorm
.
Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models.
Strong experience with
data quality, deduplication, record/patient linking, terminology normalization, and validation
.
Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture.
Experience with
Git, CI/CD, automated testing, observability, and production operations
.
Strong understanding of healthcare security, privacy, and regulatory requirements, including
HIPAA
and PHI-safe engineering practices.
Proven ability to establish
reusable engineering frameworks, architectural patterns, standards, and data-quality practices
adopted by other engineers.
Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence.
Practical experience using
AI coding agents such as Claude Code or comparable agentic engineering tools
as an integral part of the development lifecycle.
Strong engineering judgment around when to use
AI/LLM-based approaches versus deterministic rule-based solutions
, particularly where correctness, cost, performance, or PHI safety are critical.
Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders.
Nice to Have
Deep experience with
large-scale FHIR data modeling and healthcare interoperability platforms
.
Experience with
Master Patient Index (MPI), patient matching, identity resolution
, or large-scale record linkage.
Experience with payer data exchange, including
CARIN Blue Button
, Da Vinci implementation guides, or similar standards.
Experience working with pharmacy, laboratory, or other specialized healthcare datasets.
Knowledge of
ICD-10
, CPT, CVX
, and additional clinical terminology/code systems.
Experience with
21st Century Cures Act, ONC certification, CMS Interoperability Rule
, or related U.S. healthcare regulatory frameworks.
Experience building LLM/agent-based capabilities for
clinical data extraction, normalization, terminology mapping, or healthcare data quality
.
Experience designing reusable AI skills or agentic workflows adopted across engineering teams.
Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
Healthcare
Python
Spark
Location: Intellias
Meet your recruiter
Khrystyna Derpak
khrystyna.derpak@intellias.com
https://www.linkedin.com...
Vacancy details
AI/ML Engineering
Machine Learning Engineer
Senior
Bulgaria, Croatia, Poland
Remote
APPLY NOW
REFER A FRIEND
We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible.
The ideal candidate is a
forward-thinking engineer
who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise.
What project we have for you
Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 10,000 coworkers. For the trailing twelve months ended September 30, 2020, the company generated Net sales over $18 billion.
Broad array of offerings range from hardware and software to integrated IT solutions such as security, cloud, data center and networking
What you will do
Agentic Engineering & Orchestration
Workflow Design: Architect complex, multi-agent workflows using Microsoft AI tech stack. Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions.
Tool Use & Function Calling: Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.)
State Management: Design persistence layers to manage agent memory, conversational history, and context windows efficiently.
Advanced Data & RAG Strategy
Retrieval Pipelines: Build production-grade data retrieval and integration systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval.
Data Quality: Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption
LLMOps, Evaluation & Quality
Automated Evaluation: Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing. Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment.
Observability: Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production.
Cost Optimization: Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs.
Innovation & Collaboration
Prototyping to Production: Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code.
Standards Adoption: Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity.
What you need for this
Core Engineering
Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications.
Programming:
Strong hands-on experience with Python for AI/LLM application development.
Agentic AI:
Hands-on experience designing and building AI agents / Agentic AI solutions.
LLM APIs:
Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini).
AI Specialization
2+ years specifically building with LLMs, with deep familiarity in:
Orchestration:
LangChain, LangGraph, or similar state-based frameworks.
Vector DBs:
Pinecone, Weaviate, or pgvector.
Prompt Engineering:
Advanced techniques (Chain-of-Thought, ReAct, Few-Shot).
Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors.
Soft Skills: Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful.
Communication: Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer.
Nice to Have
Microsoft Foundry
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Location: Berlin; Poland; Portugal; France; United Kingdom; Spain; Germany; Italy; Israel; The Netherlands; Switzerland
Workplace: Remote
ABOUT THE TEAM
The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA.
THE ROLE
We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client.
WHAT YOU'LL DO
- Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap.
- Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them.
- Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it.
- Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features.
- Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly.
- Bring written proposals about where we invest next. You set direction rather than wait for it.
- Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt.
- Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try.
- Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks.
ABOUT YOU
- Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build.
- 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics.
- Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks.
- Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET.
- You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly.
- Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet.
- Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency.
- Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it.
- Thoughtful use of AI development tools, with the judgment to review what comes out.
- Clear writing. Most coordination happens in design docs, PRs and RFCs.
NICE TO HAVE
- ClickHouse, especially its type system, or another OLAP engine.
- C++ and ODBC driver internals.
- Building or maintaining an ADO.NET http://ADO.NET or EF Core provider.
- Open-source contributions to .NET or data infrastructure.
- Experience designing SDKs, docs or error messages with AI coding agents as the consumer.
- Protocol or wire-format work on a database driver or network client.
LEARN MORE
- Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026)
- What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026)
- Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026)
- Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026)
- The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp
- ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026)
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
УдалённоseniorNew York; Detroit; Chicago; Atlanta; Boston
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Zaragoza, Spain
УдалённоSingapore (Remote)
ГибридSan Francisco; New York
Los Angeles, California, United States; For applicants from the European Union, please review
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УдалённоseniorBerlin; Poland; Portugal; France; United Kingdom; Spain; Germany; Italy; Israel; The Netherlands; Switzerland