Вакансии

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a SDK Engineer - Python to join our SDK team and own how developers talk to Supabase from Python. You'll work closely with the rest of the SDK team, our Auth, Realtime, Storage, PostgREST, Functions, CLI and Docs teams, and the open-source community, helping us make the Python SDK a library Python developers genuinely enjoy using. Python developers reach Supabase from backend services, data pipelines, notebooks, and a growing number of AI agents and agent frameworks. The Python SDK is how all of them talk to the platform: database queries, auth, storage, realtime and edge functions, in both sync and async flavors. This is a library-authoring role, and the work happens in the open: public repos, public issue trackers, and API decisions whose consequences last for years. If you get satisfaction from a type checker that catches the bug before your users do, from an async client that cleans up after itself, and from an issue tracker that isn't a graveyard, you'll like it here. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU'LL BE RESPONSIBLE FOR - Build and evolve our Python SDK across database, auth, storage, realtime and functions, with both sync and async APIs that feel natural in Python. - Start new things. Alongside the maintenance work, find what's missing, make the case for it, and build it. Nobody will hand you the list. - Work in the open. Triage inbound issues, review and shepherd outside contributions, keep CI and release automation healthy, and hold a clear, kind line on scope. - Own the typing experience. Make the SDK fully typed and checker-friendly, so autocomplete and static analysis stay correct in real codebases. - Keep us honest across environments. Multiple Python versions, sync and async frameworks, workers, serverless and notebooks — with dependency ranges that don't fight our users' projects. Test it, don't assume it. - Work on realtime. Long-lived websocket connections, reconnection, and subscription and presence semantics. - Track the platform. When auth, realtime, storage, postgrest or edge functions ship a change, make sure the SDK reflects it, and that we say so in the changelog. - Design in public. Write the RFCs, migration guides, release notes and docs. Treat a breaking change as a deprecation path plus a migration story, not a version bump. - Make our SDK legible to AI coding agents, which are now a major consumer of it. YOU MIGHT BE A GOOD FIT IF YOU - Know modern Python typing deeply. You use generics, protocols, overloads and TypedDict as design tools, run strict type checking, and fix type errors without reaching for Any. - Have authored or maintained a published library with a public API and users outside your own company. You know what it costs to change something people depend on. - Know the maintainer side of open source. Issue triage at volume, reviewing outside PRs, release automation, changelogs and semver, security reports, and saying no to a feature request without losing the person who asked. - Are fluent in asyncio and have opinions on how a library should serve both sync and async callers. - Know Python packaging for libraries: pyproject.toml, wheels, modern tooling, version support policy, and why libraries shouldn't pin their dependencies tightly. - Test as a habit: unit, type-level and end-to-end against a real stack. Every fix comes with a regression test. - Write well. Design docs, changelogs and issue replies are a large part of the output here, much of it public, and we're async by default. - Have real autonomy: you find the important work, scope it, ship it, and say what you didn't do. - Communicate clearly across both technical and non-technical audiences - Have experience in async or globally distributed teams - Are energized by solving real-world problems for developers - Are comfortable navigating ambiguity and moving quickly Bonus points if you: have run a major-version migration for a public package, know your way around JWT/OAuth, have built integrations for AI agent frameworks, or have generated idiomatic clients from a schema. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: Разработка тестов и тестирование системы формирования кредитно-обеспечительной документации. Работа с дефектами и задачами в Jira, подготовка отчётов по тестированию.

- Проектировать архитектуру фронтенда, определять структуру компонентов и управление состояниями (Redux/Zustand); - Интегрировать готовые UI-блоки с бэкендом через REST API;

Location: Remote (Worldwide) About Logos (λ) Logos (λ) is a movement of technologists, creatives, strategists, and activists working together to build a sovereign, people-owned technology stack that revitalises civil society and protects digital liberties at scale. This position is within the IFT Technical Services (IFT-TS) Distributed Systems Testing (DST) Team, a team that primarily supports Logos, while also contributing to other IFT projects. The role We are seeking an experienced Distributed Systems Evaluation Engineer to join the Institute of Free Technology - Technical Services, on the Distributed Systems Testing (IFT-TS DST) team. This role focuses on rigorously assessing the performance and reliability of IFT projects at scale, where Logos (λ) is one of them. Logos (λ) technology stack is composed of 3 main components: Logos (λ) Blockchain : Advanced privacy for a new era of decentralised applications and social institutions. Logos (λ) Messaging : Private peer‑to‑peer communication that resists surveillance and censorship. Logos (λ) Storage : Secure decentralised storage enabling fully decentralised apps and file sharing. We are looking for a talented and enthusiastic DevOps Engineer to join our Distributed Systems Testing (DST) team. You’ll be responsible for designing and executing comprehensive evaluation strategies, leveraging both large-scale lab deployments and protocol behavior modeling scripts. Your expertise will be crucial in analyzing these complex distributed systems, automating intricate test scenarios, and providing in-depth insights into system behaviors. Working closely with cross-functional teams, you’ll troubleshoot complex issues and translate technical data into actionable recommendations. Proficiency in containerization, cloud technologies, and distributed systems principles is essential. Key responsibilities Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies. Continuously improve cluster scalability and resource utilization, enabling increasingly complex deployments and experiments. Set up, maintain, and optimize supporting infrastructure such as monitoring, logging, and observability stacks (Grafana, Prometheus, Loki, etc.). Collaborate with DST researchers and engineers to streamline experimentation workflows and make analysis easier and more reproducible. Automate infrastructure and deployment workflows to increase reliability and reduce overhead. Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking. Identify, reproduce, and debug complex issues in distributed systems, working closely with Logos development teams. You ideally will have Strong experience with Kubernetes and container orchestration in production or research environments. Solid understanding of cloud infrastructure, Linux systems, and networking (especially relevant to distributed/P2P systems). Familiarity with monitoring and logging tools (Grafana, Prometheus, VictoriaLogs, etc.). Experience with infrastructure as code (Terraform, Ansible, Helm, etc.). Proficiency in at least one scripting/programming language (ideally Python). Interest in or experience with distributed systems, P2P networks, or blockchain technologies. Experience with networks and systems programming. Excellent written and conversational communication skills. Alignment with our core values and principles. Bonus points Hands-on experience with libp2p or projects in the Logos collective. Background in performance benchmarking, scalability testing, or systems research. Contributions to open source projects. Experience working for an open-source organization. Interview Process Interview with our POps team Interview with team member from the IFT-TS DST team Pair programming & discussion of results Interview with IFT-TS team lead

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Engineering Manager – Enterprise Data Engineering We are looking for an experienced Engineering Manager to lead a team of Enterprise Data Engineers delivering trusted, scalable and reusable data capabilities across Sony Interactive Entertainment (SIE). The role combines people leadership, technical direction, delivery ownership and operational accountability for enterprise data products, pipelines and integrations. Working with global engineering, architecture, platform, security and business teams, you will enable enterprise priorities spanning Finance, Supply Chain, IT Operations, People & Places and Sales & Operations. You will balance transformation delivery with the reliability, maintainability and continuous improvement of existing data services. Responsibilities Lead, coach and grow the engineering team · Manage performance, development, recruitment and succession; create clear goals, regular feedback and meaningful career plans. · Build a culture of ownership, inclusion, engineering discipline, collaboration and continuous learning. · Provide hands-on technical guidance when needed while delegating decisions and developing senior engineering capability. Own delivery, capacity and execution · Translate enterprise roadmaps into executable plans, milestones, dependencies and measurable outcomes; balance project commitments with run-the-business obligations. · Proactively forecast capacity and skills needs, allocate resources, manage competing priorities and identify delivery trade-offs. · Maintain clear visibility of progress, blockers and risks; escalate early with options and recommendations, and communicate confidently to leadership and stakeholders. · Drive predictable delivery through appropriate agile practices, estimation, design reviews, testing, release management and continuous improvement. Provide technical leadership for enterprise data engineering · Guide architecture and implementation of secure, scalable batch and streaming ingestion, ETL/ELT pipelines, transformations and enterprise integrations. · Champion maintainable engineering patterns across Snowflake, Databricks, Python/PySpark, SQL, dbt and relevant orchestration and integration technologies. · Ensure data models and domain-owned data products are reusable, discoverable, documented and aligned with enterprise standards. · Embed source control, peer review, automated testing, CI/CD, infrastructure-as-code where appropriate, and sound software engineering practices. Own operational quality and production readiness · Be accountable for service reliability, observability, data freshness, data quality, lineage, access controls and operational support for team-owned pipelines and products. · Establish effective monitoring, alerting, incident response, root-cause analysis, recovery procedures and reduction of recurring support effort. · Partner with platform, architecture, security and governance teams on production readiness, privacy, compliance, cost and performance optimisation. Partner across the enterprise · Work with domain and transformation leaders to understand business outcomes, shape requirements and prioritise sustainable data engineering solutions. · Coordinate dependencies with data platform, analytics, AI/ML, application and infrastructure teams to enable end-to-end delivery. · Represent the team’s architecture, products, delivery status, risks and impact in technical and executive forums. Skills and Qualifications · 3+ years of people management or engineering leadership experience, including performance management, coaching and leading delivery teams. · 8+ years of relevant software, data platform or data engineering experience, with demonstrated ownership of production-grade enterprise data solutions. · Strong understanding of data architecture, ETL/ELT, data warehousing/lakehouse patterns, dimensional modelling, data contracts and reusable data products. · Practical technical experience with SQL and Python; strong familiarity with Snowflake, Databricks and PySpark, and experience with dbt or comparable transformation frameworks. · Experience with orchestration, API/file-based integrations, cloud services (preferably AWS), Git-based development, automated testing and CI/CD. · Experience operating business-critical data pipelines, including monitoring, incident management, data quality, security and performance optimisation. · Ability to plan team capacity, manage a portfolio of priorities, resolve cross-team dependencies and provide transparent, proactive delivery reporting. · Excellent stakeholder management and communication skills across engineering, business and senior leadership; undergraduate degree or equivalent experience. Desirable Experience ·  Enterprise Finance or Supply Chain data, including SAP and planning-system integrations (such as Anaplan or Adaptive). · Data governance, metadata/lineage, master data, privacy classification and regulated or sensitive enterprise datasets. · Enabling analytics, machine learning or AI-ready data products and applying AI-assisted engineering practices responsibly. · Working with geographically distributed teams and large-scale enterprise transformation programmes. Salary: €101,000 - €151,400 Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

- Проектировать, внедрять и поддерживать CI/CD-пайплайны на базе GitLab CI/CD. - Развёртывать, администрировать и масштабировать Kubernetes-кластеры.

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 team member who joins our company receives stock options. - 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; Charlotte; Atlanta; Washington D.C.; Boston Workplace: Remote WHY BACKEND ENGINEERING AT LANGFUSE Your work will have an outsized impact. Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application with Langfuse, they hit the infrastructure you built. Everything you ship is open source and immediately visible. The core of your role is making Langfuse fast and affordable at scale: owning the ingestion pipeline, optimizing ClickHouse data models and queries so dashboards load instantly, and building the backend abstractions that let product engineers ship data-heavy features without reinventing the plumbing each time. You will also make sure Langfuse runs everywhere. You’ll operate Langfuse Cloud across multiple production environments, and make self-hosting effortless. You will support a single Docker Compose setup to enterprise-grade Helm chart deployment.   You won’t be solving these problems alone. Langfuse is now part of ClickHouse, which means the people who built the database you’re optimizing are one channel away. Few backend roles give you that kind of access to the internals of your core datastore.   YOU WILL GROW AT LANGFUSE BY - Own and optimize our ingestion pipeline: Langfuse ingests massive volumes of tracing data through a pipeline that flows from our API to ClickHouse. You'll work on throughput, latency, reliability, and cost efficiency at every stage of this pipeline. - Make ClickHouse fast: our tracing data lives in ClickHouse. You'll design schemas, optimize merge strategies, tune batch inserts, write and review analytical queries that power dashboards and the UI. You'll become an expert on ClickHouse internals — and you'll have the ClickHouse database engineering team one channel away. - Build new infrastructure-heavy features: things like LLM-as-a-Judge (where we post-process large volumes of ingested data asynchronously), alerting at scale, client-code execution, or batch dataset operations. Build the foundation and, if you like, dip your toes into the frontend for those. - Test with real data in production: when evaluating a new ClickHouse schema, migration, or query optimization, you'll run load tests against production data to validate that changes actually improve things. We don't guess at performance. We prototype new table designs, run them in parallel on real traffic, and compare before committing. - Scale for what's next: we're growing fast and new product directions like complex long-running agent observability and real-time evaluation push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale.   LEARN MORE ABOUT OUR INFRASTRUCTURE - From Zero to Scale: Langfuse's Infrastructure Evolution https://langfuse.com/blog/2024-12-langfuse-v3-infrastructure-evolution — deep dive into how we went from Postgres to ClickHouse - Max talking infrastructure at ClickHouse OpenHouse Amsterdam https://www.youtube.com/watch?v=NXYQ5odATrM — recording of our CTO walking through the architecture - Architecture https://langfuse.com/handbook/product-engineering/architecture   WHAT WE'RE LOOKING FOR - Strong backend engineer who gets excited about database internals, query optimization, and distributed systems - You get excited when working with a ton of data - Experience with analytical databases, data pipelines, or high-throughput event processing. ClickHouse experience is a big plus but not required - You organize yourself. You have strong opinions about what to build and how to ship it - Comfortable reading and writing TypeScript (our backend) and SQL - Interest in open source software and genuine enjoyment talking to users about their scaling challenges - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred   Bonus points:   - Experience with ClickHouse, other OLAP databases, or observability infrastructure - Former founder - Background in building data-intensive systems at scale   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 team member who joins our company receives stock options. - 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.

Занятость: full-time 🖥 Формат Limassol 🕹 Работодатель 🕹 Список обязанностей: — Использовать AI для создания функций на бэкенде, вебе, Android и iOS. 🕹 Требования к кандидату: — 5+ лет опыта разработки программного обеспечения, предпочтительно в бэкенде.

Founding Engineer IT Вакансии Ищем Founding Engineer, который будет доводить продукты студии от согласованного скоупа до продакшена примерно за две недели.

🕹 Список обязанностей: — Ручное тестирование web, desktop (Electron) и мобильных клиентов iOS/Android. — Тестирование API (REST) через Postman/Swagger/curl.

• От 3 лет коммерческого опыта в тестировании. • Backend / API тестирование — от 3 лет.

• От 2 лет коммерческой разработки. • Хороший опыт с Go и Python.

• Build high-performance edge services in Go. • Design offline-first and cloud-to-edge architecture.

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: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We are seeking a talented and experienced Research Engineer to join our newly forming Search and Services Platform team within Research Platform. You will build and operate the large-scale search and services that our models rely on as tools — from self-hosted, web-scale, search indexes to knowledge graphs and databases served through MCP. You will work closely with researchers and with the pretraining data, sandbox and data platform teams to make these services reliable, scalable and fast, on infrastructure measured in hundreds of terabytes of NVMe storage and thousands of CPU cores to support both data generation and critical training runs. What you will do As a Research Engineer on the Search and Services team, your responsibilities will include (but may not be limited to): - Designing, building and operating large-scale search infrastructure: self-hosted Vespa clusters indexing web-scale corpora, managed indexes for smaller corpora, and vendor search endpoints. - Self-hosting and maintaining a wide range of structured data sources — knowledge graphs (Wikidata, UniProt, Materials Project), scholarly data (OpenAlex, OpenAIRE), statistical databases (Eurostat, World Bank, IMF, OECD), open data portals and more. - Designing interfaces and tools to expose to the models and agents to use the services in different ways (direct YQL or SPARQL queries, or more refined and constrained MCPs to mimic external services) to support data generation and agentic training. - Building the data pipelines that ingest, index and serve massive datasets, including indexing our own pretraining corpora for exploration, deduplication and eval-leakage checks. - Building strong relationships with researchers and adjacent teams (pretraining data,, sandbox, data platform), understanding their workflows and enabling them to achieve more by leveraging your expertise. - Communicating and producing documentation or any content that will help teams make the most of the services you'll build. About you - 5+ years of successful experience in search engineering, data infrastructure, or a similar SRE / platform role. - Proficiency in software development (Python, Go...) and programming best practices. - Hands-on experience with large-scale search or data systems (e.g. Vespa, Elasticsearch / OpenSearch, ClickHouse or similar). - Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) - Exposure to infrastructure management: containerization, orchestration (Kubernetes), infra-as-code, monitoring, logging, alerting, observability...). - Experience designing and operating data pipelines that address large amounts of data. - Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). - Ownership, high agency and constantly seeking to learn and improving things for others. - Autonomous, self-driven and able to work well in a fast-paced startup environment. - Low ego and team spirit mindset. - Your application will be all the more interesting if you also have: - First-hand Vespa (or equivalent large-scale information retrieval) experience. - Experience building or operating MCP servers / tool-serving infrastructure for LLMs. - Familiarity with knowledge graphs, RDF / SPARQL, or large structured databases (PostgreSQL, ClickHouse, DuckDB...). - Experience with large bare-metal infrastructure or HPC environments. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: United States, Remote Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer – Data Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale. The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity. We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform. Responsibilities · Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation. · Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity. · Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management. · Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads. · Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms. · Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity. · Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability. · Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership. · Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities. · Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence. · Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time · Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency. Requirements · Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. · 8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering. · Strong proficiency in Python , with experience building production-grade distributed systems and data processing applications. Experience with Scala is beneficial for supporting and evolving existing platform components. · Hands-on expertise designing and operating large-scale stream processing applications using Apache Flink , Apache Spark Structured Streaming , or equivalent distributed streaming technologies. · Production experience designing, operating, and optimizing distributed analytics platforms using ClickHouse , Apache Druid , or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale. · Experience building and consuming event-driven data pipelines using AWS MSK , Apache Kafka , or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications. · Experience applying AI/ML techniques and modern AI tooling to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity. · Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost. · Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams. Nice to Have · Experience with Databricks , Apache Iceberg , or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms. · Experience building or operating multi-tenant, self-service data platforms supporting multiple engineering organizations. · Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment. Your First 90 Days 30 Days: Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across  the Data Platform organization. 60 Days: Take technical ownership of a major platform capability or architectural area. Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives. 90 Days: Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution. In 90 days, you will have a detailed understanding of the Real-Time Analytics Platform and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $198,200 — $297,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

• 4+ года опыта DevOps в продакшене.