The garden3d Head of Technology has one mandate: everything we build works, holds up in production, and gets built the smartest way available to us. Working in close partnership with our founder & president Hugh Francis, this person sets the engineering standard, and builds the culture that holds it.
УдалённоheadNew York City; A lot of our people are in New York and there's some gravity here, but we already work across timezones and we would happily hire in Europe, Singapore, Chicago, or wherever you are
Location: New York; Charlotte; Atlanta; Washington D.C.; Boston
Workplace: Remote
WHY PRODUCT ENGINEERING AT LANGFUSE
Your work will have an outsized impact.
Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels.
Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution.
You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.
YOU WILL GROW AT LANGFUSE BY
- Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api.
- Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing.
- Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition.
- Write public documentation about the features you own. At Langfuse, docs are product.
- Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.
WHAT WE’RE LOOKING FOR
- Someone who has built features or even entire products from scratch end-to-end
- Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends
- Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it.
- Taste for great developer experience: you care about API design, UI details, and clear documentation
- Interest in open source software and genuine excitement about talking to developers about their problems
- Thrives in a small, accountable team where your output is visible and matters
- CS or quantitative degree preferred
Bonus points:
- Experience with ClickHouse, analytics databases, or building complex data visualizations
- Former founder or early startup experience
- Contributions to popular open source projects
- ML/AI background or familiarity with the LLM framework ecosystem
No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.
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; Charlotte; Atlanta; Washington D.C.; Boston
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About The Role
We are looking for a Sr Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling.
As a Senior Staff Platform Engineer, you will be the technical lead for our platform team, owning the technical direction and priorities across every area of our platform. You will lead large, high-impact programs that span quarters, working through ambiguity and dependencies with the engineering teams that build on our platform to align technical and business goals. You will stay hands-on in the hardest technical work, set the standards for how our platform is designed, built, and operated, and shape the capabilities that engineering teams rely on to ship and run their services. You will regularly present ideas to senior leaders and mentor engineers across the team.
What You’ll Do
Help drive technical design and delivery of core platform capabilities spanning cloud infrastructure, Kubernetes platforms, Observability, CI/CD systems, and developer tooling
Lead end-to-end execution of complex, multi-quarter features and systems, from architecture and design through deployment and continuous refinement.
Partner with other engineering teams to improve reliability, scalability, and performance of services running in cloud-native environments.
Contribute to incident response and resolution, helping to drive improvements in availability and system stability.
Advocate for best practices in software delivery, infrastructure management, and operational excellence.
Mentor engineers and contribute to a strong engineering culture within the team.
Stay current with emerging technologies and industry trends, bringing innovative solutions to the team.
What We’re Looking For
10+ years of experience in platform, infrastructure, DevOps, or software engineering
Proven experience successfully leading and delivering complex cross-team, multi-quarter initiatives.
Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices.
Strong software engineering background, with experience in backend development and distributed systems.
Deep understanding of the AWS cloud platform and cloud-native architectures.
Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation.
Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling.
Deep expertise with Kubernetes and container orchestration in production environments.
Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability.
Experience with incident management and operational best practices for large-scale systems.
Proficiency in Go or Python.
Familiarity with AI-assisted development tools.
Strong foundation in platform security concepts.
Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices.
Outcome-driven mindset with a focus on solving real-world engineering challenges.
A positive, adaptable attitude suited for a fast-moving environment.
Nice To Have
Experience scaling services globally
FinOps or cloud cost management experience
Regulated or high-availability environment experience
Experience with Java or Kotlin
Familiarity with GitHub Actions
Experience with Kafka and Cassandra
Why Join Us?
Work on high-impact platform engineering challenges at scale.
Collaborate with experienced engineers who value technical excellence and innovation.
Play a key role in shaping the developer experience and operational foundations of Fanatics Core.
Join a culture that encourages learning, growth, and technical leadership.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$220,000
—
$275,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Задачи:
— Работать с full-stack задачами
— Разрабатывать и поддерживать high-load системы
— Разрабатывать AI-проекты: AI-ассистентов, виртуальных персонажей и другие AI-решения
Требования:
— 2–3+ года коммерческого опыта разработки
— Уверенное знание TypeScript
— Практический опыт работы с WebSocket / Socket.IO
— Опыт разработки и поддержки high-load систем
— Коммерческий опыт работы с Subscription Model / подписочной моделью
— Опыт разработки AI-проектов: AI-ассистентов, виртуальных персонажей и других AI-решений
— Готовность работать с full-stack задачами
— Русскоязычный специалист
— Frontend: NextJS, React, Typescript, Tailwind, Zustand, SocketIO
— Backend: NodeJS, NestJS, Typescript, TypeORM, PostgreSQL, Docker, RabbitMQ, SocketIO
Условия:
— Формат работы: удалённая
Location: Remote
Workplace: Remote
COMPANY
At 0x https://0x.org/, our mission is to "Create a Tokenized World Where All Forms of Value Can Flow Freely". We deliver this to web3 builders with a delightfully simple suite of developer APIs that provide faster trading, better prices, and superior user experience.
Founded in 2017, we’ve processed over 211M+ transactions and $180B+ in trading volume from users trading on Matcha, Coinbase Wallet, Robinhood Wallet, Phantom, Rainbow, DefiLlama, MetaMask, Zerion, Zapper, and many more. Our investors include Greylock Partners, Pantera Capital, and Jump Crypto.
When you join 0x, you’ll become part of a veteran team of crypto builders who know the importance of code quality, team cohesion, and a culture of learning.
ABOUT THE TEAM
Behind every 0x trade is a lot of hard work. We integrate hundreds of liquidity sources, optimize for gas, slippage and latency, split routes and simulate every result to get traders the best possible outcome. The API Products team turns that routing logic into easy-to-integrate APIs that wallets, exchanges, trading apps, bridges and developers around the world rely on.
This team of four built, maintains and continues to evolve our flagship Swap, Gasless and Cross-Chain APIs, which have moved billions in volume. Next, they’re building new products that give developers even more tools for building trading apps.
ABOUT THE ROLE
We’re hiring a Senior Software Engineer to expand what the API Products team can take on. You’ll lead projects from first idea to production, on new products and on the APIs that are already live, working closely with our product team and some of our biggest customers. This is a hands-on IC role for someone who wants real ownership and works well with little direction. Remote, EU timezones preferred.
WHAT YOU’LL DO
- Build new APIs and trading products, from researching the problem and designing the architecture to shipping the first version.
- Maintain and extend our existing APIs, including support for new chains, bridges and customer-requested features.
- Keep our APIs fast and reliable as traffic grows, and participate in the on-call rotation.
- Investigate failed trades and stuck transfers using logs, traces and onchain data, and resolve the root cause.
- Work with product, legal and GTM, turning business and compliance needs into technical decisions.
- Write design documents for your work and review your teammates’ designs and pull requests.
WHO YOU ARE
- 7+ years of backend engineering experience, including at least 2 years in DeFi at a trading app, wallet, DEX aggregator, onchain data company or similar.
- Senior or Lead Engineer with a track record of owning complex projects end to end.
- Built and maintained developer-facing APIs.
- Deep onchain knowledge, especially EVM: how transactions work, including calldata, contract interfaces, gas and approvals.
- Strong system design experience for production-scale backend services.
- You’re an AI power user who uses it to multiply your impact as an engineer, yet you don’t let it replace your judgment.
- Clear communicator, comfortable explaining technical tradeoffs to non-engineers.
- Aligned with our core values https://0x.org/post/the-0x-mission-and-values: do the right thing, consistently ship, and focus on long-term impact.
- Able to attend annual in-person team offsites around the globe.
NICE TO HAVE
- Experience with cross-chain/bridging, or DEX aggregation.
- Experience with other ecosystems outside of EVM such as Solana.
- Experience with TypeScript and/or Rust, our main languages.
BENEFITS
- The base salary range for this position is USD $150,000 - $230,000 + equity + ZRX tokens + benefits. Within the range, individual pay is determined by job-related skills, experience, location, business needs, and candidate preferences between the different compensation elements.
- Comprehensive insurance (medical/dental/vision/life/disability) for U.S.-based employees — 100% of base plan covered for you and dependents
- 401k and FSA for U.S.-based employees
- Monthly mobile phone bill, wellness, and pre-tax transportation expense
- Covered mental health benefits (included professional therapy sessions)
- A supportive remote environment
- Lunch reimbursement for all employees across the globe!
- Stipend for your ideal remote / WFH set-up: headphones, and any other work gear you may need
- 12-week paid parental leave
- Great office conveniently located in the SF Financial District for those in the region!
- Flexible vacation: Take time when you need it (and we really mean it!)
0x and its associated entities are dedicated to fostering diversity, inclusion, and belonging in its teams and workforce, and are proud to be equal opportunity employers. 0x does not make employment or hiring decisions on the basis of race, color, creed, religion, sex (including those who are pregnant or have given birth), sexual orientation, gender, gender expression or identity, age, disability, medical condition, genetic information, military or veteran status, marital status, pregnancy, citizenship, national origin, immigration or citizenship status, political affiliation, or any other basis that is protected by applicable local, state, or federal laws. This includes not making such decisions based on the status itself, as well as any associations, perceptions, and assumptions made regarding these statuses. 0x will also consider qualified applicants with arrest and conviction records in a way that is consistent with San Francisco’s Fair Chance Ordinance and similar local laws. Our commitment to equal employment opportunity extends to ensuring that all applicants and employees can perform to their fullest potential, including through obtaining reasonable accommodations when necessary.
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.
In this position, your responsibility will be to
Design, implement, and operate core runtime services for serving search queries at scale
Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
Develop systems that maintain performance and predictability under high load
Optimise CPU, memory, and data access patterns in performance-critical paths
Ensure reliability, observability, and predictability across production services
Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
Support experimentation and iteration through controlled rollouts and rigorous benchmarking
You may be a good fit if you:
Have 8+ years of experience as a software engineer working on production backend systems
Have strong hands-on expertise in C++ or Rust in real-world, high-load services
Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
Understand performance at a systems level — CPU, memory, networking, and data access
Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
Think end-to-end about request flows rather than staying within isolated components
Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings
Strong candidates may also have experience with:
DBMS internals (open source or SaaS) and cloud infrastructure
High-load web applications or large-scale APIs
Performance-critical systems such as trading platforms or real-time data pipelines
Low-level performance tuning and hardware-level optimisation
Open-source contributions or active involvement in the engineering community
Competitive programming or CTF participation
SHAD or similar advanced technical programmes
Conference talks or technical publications
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.
In this position, your responsibility will be to
Design, implement, and operate core runtime services for serving search queries at scale
Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
Develop systems that maintain performance and predictability under high load
Optimise CPU, memory, and data access patterns in performance-critical paths
Ensure reliability, observability, and predictability across production services
Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
Support experimentation and iteration through controlled rollouts and rigorous benchmarking
You may be a good fit if you:
Have 8+ years of experience as a software engineer working on production backend systems
Have strong hands-on expertise in C++ or Rust in real-world, high-load services
Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
Understand performance at a systems level — CPU, memory, networking, and data access
Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
Think end-to-end about request flows rather than staying within isolated components
Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings
Strong candidates may also have experience with:
DBMS internals (open source or SaaS) and cloud infrastructure
High-load web applications or large-scale APIs
Performance-critical systems such as trading platforms or real-time data pipelines
Low-level performance tuning and hardware-level optimisation
Open-source contributions or active involvement in the engineering community
Competitive programming or CTF participation
SHAD or similar advanced technical programmes
Conference talks or technical publications
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.
In this position, your responsibility will be to
Design, implement, and operate core runtime services for serving search queries at scale
Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
Develop systems that maintain performance and predictability under high load
Optimise CPU, memory, and data access patterns in performance-critical paths
Ensure reliability, observability, and predictability across production services
Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
Support experimentation and iteration through controlled rollouts and rigorous benchmarking
You may be a good fit if you:
Have 8+ years of experience as a software engineer working on production backend systems
Have strong hands-on expertise in C++ or Rust in real-world, high-load services
Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
Understand performance at a systems level — CPU, memory, networking, and data access
Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
Think end-to-end about request flows rather than staying within isolated components
Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings
Strong candidates may also have experience with:
DBMS internals (open source or SaaS) and cloud infrastructure
High-load web applications or large-scale APIs
Performance-critical systems such as trading platforms or real-time data pipelines
Low-level performance tuning and hardware-level optimisation
Open-source contributions or active involvement in the engineering community
Competitive programming or CTF participation
SHAD or similar advanced technical programmes
Conference talks or technical publications
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems.
In this position, your responsibility will be to:
Design, implement, and operate web-scale crawling systems for acquiring content from the internet
Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations
Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies
Build systems for URL discovery, deduplication, content extraction, and crawl orchestration
Ensure reliable operation of crawling infrastructure under high-throughput conditions
Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality
Monitor resource usage, bandwidth consumption, and infrastructure cost
Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements
Enable safe experimentation with crawling strategies and content acquisition policies
You may be a good fit if you:
8+ years of experience building backend or distributed systems
Strong Go or C++ expertise
Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines)
Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction
Experience operating production systems and debugging failures in distributed environments
Strong understanding of scalability, fault tolerance, and resource management
Strong candidates may also have experience with:
Web crawling
Building streaming data pipelines and event-driven systems
Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms
Designing distributed schedulers, queues, and asynchronous processing systems
Spark, Flink, Beam, or MapReduce
Ad tech, social networks, search engines, or other large-scale content platforms
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: London, United Kingdom
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems.
In this position, your responsibility will be to:
Design, implement, and operate web-scale crawling systems for acquiring content from the internet
Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations
Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies
Build systems for URL discovery, deduplication, content extraction, and crawl orchestration
Ensure reliable operation of crawling infrastructure under high-throughput conditions
Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality
Monitor resource usage, bandwidth consumption, and infrastructure cost
Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements
Enable safe experimentation with crawling strategies and content acquisition policies
You may be a good fit if you:
8+ years of experience building backend or distributed systems
Strong Go or C++ expertise
Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines)
Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction
Experience operating production systems and debugging failures in distributed environments
Strong understanding of scalability, fault tolerance, and resource management
Strong candidates may also have experience with:
Web crawling
Building streaming data pipelines and event-driven systems
Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms
Designing distributed schedulers, queues, and asynchronous processing systems
Spark, Flink, Beam, or MapReduce
Ad tech, social networks, search engines, or other large-scale content platforms
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the content acquisition and crawling infrastructure of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building systems that discover, fetch, and continuously refresh content from the open web and other large-scale data sources. You will design distributed crawling, scheduling, and ingestion infrastructure capable of operating at internet scale while balancing coverage, freshness, resource efficiency, and reliability. You will work on systems that process billions of URLs, manage high-throughput data flows, and ensure that high-quality content is consistently available to downstream indexing and retrieval systems.
In this position, your responsibility will be to:
Design, implement, and operate web-scale crawling systems for acquiring content from the internet
Build ingestion workflows for internal and external data sources, including crawlers, structured feeds, and partner integrations
Develop crawl scheduling, prioritisation, recrawl policies, and freshness strategies
Build systems for URL discovery, deduplication, content extraction, and crawl orchestration
Ensure reliable operation of crawling infrastructure under high-throughput conditions
Define observability and quality metrics for crawl coverage, freshness, throughput, and content quality
Monitor resource usage, bandwidth consumption, and infrastructure cost
Collaborate with indexing and ML teams to ensure acquired content meets retrieval and ranking requirements
Enable safe experimentation with crawling strategies and content acquisition policies
You may be a good fit if you:
8+ years of experience building backend or distributed systems
Strong Go or C++ expertise
Experience with large-scale distributed systems (10k+ RPS, billions of URLs, high-throughput pipelines)
Understanding of web protocols (HTTP, DNS, TLS), crawling, scraping, and content extraction
Experience operating production systems and debugging failures in distributed environments
Strong understanding of scalability, fault tolerance, and resource management
Strong candidates may also have experience with:
Web crawling
Building streaming data pipelines and event-driven systems
Kafka, Pulsar, NATS, RabbitMQ, or similar messaging platforms
Designing distributed schedulers, queues, and asynchronous processing systems
Spark, Flink, Beam, or MapReduce
Ad tech, social networks, search engines, or other large-scale content platforms
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Задачи:
— Разработка frontend (Vue/React) и backend (Node.js/NestJS)
— Оптимизация высоконагруженных систем и баз данных PostgreSQL/MySQL
— Релизы, мониторинг production-среды и проведение code review
Требования:
— Опыт от 5 лет с JavaScript/TypeScript, Node.js и Vue/React
— Понимание принципов работы с высоконагруженными системами
— Базовые навыки работы с Linux, контейнеризацией и Kubernetes
Условия:
— Полная занятость, гибкий формат на выбор (Remote, Office, Hybrid)
— Сложные инженерные задачи и работа с современным технологическим стеком
Location: Baku
Workplace: onsite
ABOUT YOU
You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build and maintain scalable, responsive interfaces in React and TypeScript across multiple Business Accounts.
Build and own shared remote modules (Module Federation) that plug into several host apps, keeping them versioned, backward compatible and safe to deploy independently.
Build UI with our xui design system, and help improve it by contributing components and patterns.
Turn product designs and user stories into high-quality, accessible UI components.
Integrate with REST and GraphQL APIs, and implement clear state management.
Handle authentication and session flows between host apps and modules, including passing Publisher Account tokens securely.
Optimize performance, loading and caching across browsers and devices.
Refactor legacy code (for example, older React and react-router versions) toward current best practices.
Write clean, testable code and keep test coverage healthy.
Use AI tools (Claude Code, Cursor, etc.) every day to design, build, test and refactor code faster without lowering quality.
Add AI-assisted code review on top of manual review, check AI-generated code carefully, and help the team set good practices for AI-driven development.
Lead frontend design reviews and contribute to architecture decisions (ADRs).
Work closely with product, design, backend and partner teams such as Publisher Account and Site Builder to deliver features end to end.
Contribute to planning, estimation and delivery tracking.
Mentor engineers and give constructive code reviews.
Requirements
6+ years of professional software development experience.
4+ years of hands-on experience with React and TypeScript.
Deep knowledge of modern JavaScript (ES6+), HTML5, CSS3 and Web APIs.
Experience with design systems and CSS-in-JS (for example styled-components), and responsive layouts.
Experience with REST and GraphQL APIs; familiarity with WebSockets and real-time data.
Hands-on experience using AI coding assistants in daily work, and the judgment to review, test and correct what they produce.
Comfortable with Git, CI/CD pipelines (GitLab preferred) and agile workflows.
Experience with testing tools such as Jest, React Testing Library, Cypress or Playwright.
Good written and spoken English, with the ability to explain technical trade-offs to non-technical stakeholders
Nice to have
Experience with microfrontends (Module Federation) or monorepos.
Experience building or maintaining a shared component library or design system.
Experience with SSO, OAuth2 or JWT-based authentication across apps.
Experience working with a headless CMS.
Experience with Next.js, SSR/SSG or hybrid rendering.
Experience with B2B dashboards, admin tools or self-service portals.
Experience setting up AI workflows for a team, such as agents, custom skills or prompts, automated MR review, or AI-assisted testing.
A strong eye for UX polish, animation and interaction design.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Estonia
Job Overview
React, Next.js, architecture and interactive graphics | 5 to 8 years
This role owns technical direction for complex front-end features and supports the team through design decisions, reviews and mentoring. The successful candidate should combine strong React and Next.js engineering with architecture, performance and integration expertise.
Must Have Skills
• Advanced experience with React, Next.js, TypeScript and modern hooks-based component design.
• Ability to design scalable front-end architecture with a single source of truth and clear boundaries between UI, business logic and data access.
• Experience designing reusable component libraries and governing consistent component APIs.
• Deep experience with Zustand, Redux Toolkit or an equivalent state-management approach, including efficient selector design.
• Strong HTML, CSS and SCSS skills, including responsive design, accessibility and style isolation.
• Experience implementing interfaces from detailed visual specifications and using design systems such as IBM Carbon or Material UI.
• Strong REST API integration experience, including typed models, adapters, polling and defensive handling of missing or inconsistent data.
• Experience defining or validating API contracts with backend teams and applying contract-testing principles.
• Demonstrated performance expertise, including profiling, memoisation, code splitting, lazy loading and bundle analysis.
• Awareness of frame rate, GPU utilisation and memory behaviour on graphics-heavy screens.
• Hands-on experience with WebGL, three.js or React Three Fiber, including scene and camera control, pointer picking and animation timelines.
• Experience managing events and interaction across layered UI and graphics surfaces.
• Experience integrating map SDKs, handling coordinate systems, implementing provider fallbacks and managing API tokens safely.
• Ability to build components that integrate into an existing host application through clean props and callbacks, isolated styles and no unintended global side effects.
• Strong testing experience with Vitest or Jest and React Testing Library, supported by a practical test strategy.
• Experience with strict TypeScript, error boundaries, cross-browser testing and browser DevTools.
• Experience contributing to CI/CD pipelines, Git workflows and high-quality pull-request reviews.
• Experience with Azure DevOps
• Proven technical leadership through mentoring, task breakdown, estimation and technical documentation.
• Understanding of front-end security fundamentals, including secure environment configuration, safe logging and responsible third-party dependency use.
Good to Have Skills
• Experience with advanced animation libraries such as GSAP or Framer Motion.
• Experience with charting and data-visualisation libraries.
• Experience with visual regression testing or end-to-end testing using Playwright
• Experience with internationalisation and localisation at scale.
• Familiarity with micro-frontends, monorepos or design-system governance.
• Experience with production observability, release support and incident investigation.
• Experience leading technical discovery or proof-of-concept work for complex interactions.
Salary: $30 – $35 / hour
Location: Lithuania
Job Overview
React, Next.js, architecture and interactive graphics | 5 to 8 years
This role owns technical direction for complex front-end features and supports the team through design decisions, reviews and mentoring. The successful candidate should combine strong React and Next.js engineering with architecture, performance and integration expertise.
Must Have Skills
• Advanced experience with React, Next.js, TypeScript and modern hooks-based component design.
• Ability to design scalable front-end architecture with a single source of truth and clear boundaries between UI, business logic and data access.
• Experience designing reusable component libraries and governing consistent component APIs.
• Deep experience with Zustand, Redux Toolkit or an equivalent state-management approach, including efficient selector design.
• Strong HTML, CSS and SCSS skills, including responsive design, accessibility and style isolation.
• Experience implementing interfaces from detailed visual specifications and using design systems such as IBM Carbon or Material UI.
• Strong REST API integration experience, including typed models, adapters, polling and defensive handling of missing or inconsistent data.
• Experience defining or validating API contracts with backend teams and applying contract-testing principles.
• Demonstrated performance expertise, including profiling, memoisation, code splitting, lazy loading and bundle analysis.
• Awareness of frame rate, GPU utilisation and memory behaviour on graphics-heavy screens.
• Hands-on experience with WebGL, three.js or React Three Fiber, including scene and camera control, pointer picking and animation timelines.
• Experience managing events and interaction across layered UI and graphics surfaces.
• Experience integrating map SDKs, handling coordinate systems, implementing provider fallbacks and managing API tokens safely.
• Ability to build components that integrate into an existing host application through clean props and callbacks, isolated styles and no unintended global side effects.
• Strong testing experience with Vitest or Jest and React Testing Library, supported by a practical test strategy.
• Experience with strict TypeScript, error boundaries, cross-browser testing and browser DevTools.
• Experience contributing to CI/CD pipelines, Git workflows and high-quality pull-request reviews.
• Experience with Azure DevOps
• Proven technical leadership through mentoring, task breakdown, estimation and technical documentation.
• Understanding of front-end security fundamentals, including secure environment configuration, safe logging and responsible third-party dependency use.
Good to Have Skills
• Experience with advanced animation libraries such as GSAP or Framer Motion.
• Experience with charting and data-visualisation libraries.
• Experience with visual regression testing or end-to-end testing using Playwright
• Experience with internationalisation and localisation at scale.
• Familiarity with micro-frontends, monorepos or design-system governance.
• Experience with production observability, release support and incident investigation.
• Experience leading technical discovery or proof-of-concept work for complex interactions.
Salary: $30 – $35 / hour
seniorNew York, NY, United States
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