Вакансии

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Задачи: — исследовать и разрабатывать торговые стратегии для DeFi и крипторынков: от гипотезы и анализа данных до бэктестинга, валидации и оценки результата стратегии — Quant/ML research и разработка торговых стратегий для DeFi и крипторынков — применять ML/DL-подходы для маркет-мейкинга, forecasting, управления позициями и смежных задач — разрабатывать стратегии дельта-нейтрального хеджирования и управления рисками — проводить бэктестинг и использовать симуляционные среды на крипто-данных: order book, trades — анализировать рыночные данные и улучшать алгоритмы по результатам реального исполнения Требования: — senior-уровень в Quant/ML research, systematic trading, HFT/prop trading, market microstructure или смежных задачах — участие в полном цикле ресерча: гипотеза > данные > модель/логика > бэктестинг > валидация и анализ результата — понимание временных рядов, OOS-проверки, future leakage и торговой экономики — знание Supervised Learning, статистического анализа, оптимизации моделей — уверенный Python; PyTorch, Scikit-Learn, CatBoost, XGBoost, Optuna — опыт доведения стратегий до реального исполнения или PnL-оценки — опыт работы с order book и trades — автономность в постановке гипотез и доведении их до результата — владение русским языком для общения в команде Будет плюсом: — Reinforcement Learning — опыт на Rust или low-latency engineering — опыт в трейдинге, маркет-мейкинге, low-latency крипте — опыт в квант-фондах, HFT, prop trading, банковских квант-командах — опыт с DeFi, DEX/CEX, AMM/LP, perpetuals, funding, cross-venue arbitrage — активное использование AI-инструментов Условия: — фиксированная зарплата в стейблкоинах (USDT/USDC, 1:1 к доллару) — квартальный profit sharing от результатов стратегий — оплачиваемый отпуск — компания оплачивает AI-подписки

Задачи: — Развертывание и поддержка full nodes (Ethereum, Bitcoin, Tron) — Настройка и сопровождение RPC, архивных и валидаторных нод — Обеспечение высокой доступности (HA), отказоустойчивости и масштабируемости инфраструктуры — Мониторинг состояния нод (Prometheus, Grafana) — Оптимизация производительности (disk I/O, RAM, CPU, network latency) — Управление обновлениями клиентов и форками сетей — Настройка резервного копирования и восстановления данных — Автоматизация процессов — Работа с облачной инфраструктурой (Hetzner, OVH, AWS, GCP и аналоги) — Обеспечение безопасности (firewalls, access control, DDoS protection) — Поддержка внутренних команд (backend, data, product) через RPC/API endpoints Требования: — Опыт DevOps/SRE от 3-х лет — Практический опыт работы с blockchain nodes — Глубокое понимание Linux (Ubuntu/Debian), networking и системного администрирования — Опыт работы с Docker, Kubernetes — Уверенное владение инструментами мониторинга и логирования — Опыт автоматизации (Bash, Python или Go) — Понимание принципов консенсуса (PoW, PoS, validators) — Опыт работы с high-load системами Будет плюсом: — Опыт запуска валидаторов и участия в staking — Работа с MEV, indexers, archive nodes — Знание специфики L2 решений (Arbitrum, Optimism, zkSync) — Опыт работы с Web3 API (Infura, Alchemy аналоги) — Понимание безопасности ключей и HSM решений Технологический стек: OS: Linux (Ubuntu) Containers: Docker, Kubernetes Infra: Terraform, Ansible Monitoring: Prometheus, Grafana Cloud: AWS / GCP / Hetzner Blockchain clients: Geth, Erigon, Nethermind, Bitcoin Core, Solana Validator

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Head of Exchange Infrastructure to own the layer every Kraken product is built on: the matching engine, core infrastructure, third-party custody, the algo engine and the API engine. Kraken grew up as a set of vertically integrated products, each with its own engine and its own APIs. This role consolidates them into a single exchange stack that serves every product and every interface. You will lead a team of four to five product managers, partnered with an engineering manager. It is a senior, independent team, which means you get leverage quickly and you are expected to stay close to the work.   THE OPPORTUNITY - Own the product vision and roadmap for the exchange layer: matching engine, core infrastructure, third-party custody, algo engine and API engine - Lead and grow a team of four to five product managers, and set the bar for product craft across the layer - Lead the consolidation of multiple matching engines into one, starting with US derivatives, then international derivatives, then spot - Build interface-agnostic, so every product team and every interface can build on the same platform rather than their own - Define success metrics (p99 latency, throughput, uptime, resiliency) and hold teams accountable to them - Partner with engineering leaders across exchange and core infrastructure to sequence the migration without disrupting live markets - Partner with Risk and Credit Infrastructure so a client can hold one account and trade every product against it - Anticipate industry shifts and shape our platform to stay ahead - Align cross-functional teams (product, engineering, risk, compliance) around the exchange strategy   WHAT YOU BRING - Senior product leader with experience in exchange, trading, or high-performance platforms - Experience managing and developing product managers, on a team senior enough to run without you in the room - Happy to be a player-coach. This team is independent, so you will own roadmaps and write specs yourself at times, not only review them - Proven ability to set product vision and translate it into a long-term roadmap - Strong understanding of matching engine and market data architecture, and the tradeoffs low latency forces - Experience building platforms for internal customers, with the judgment to tell a platform from a series of bespoke builds - Excellent communication skills — can influence technical and non-technical stakeholders - A passion for crypto markets, market structure, and building the next generation of infrastructure   NICE TO HAVES - Engineering background before moving into product, so you've built or operated high-performance systems yourself and not just specced them - Experience across both spot and derivatives venues, with the market structure differences that come with each - Time at a crypto exchange operating at comparable scale, volume and uptime expectations - Track record building platform roadmaps that interlock with adjacent product orgs rather than running in isolation Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Head of Exchange Infrastructure to own the layer every Kraken product is built on: the matching engine, core infrastructure, third-party custody, the algo engine and the API engine. Kraken grew up as a set of vertically integrated products, each with its own engine and its own APIs. This role consolidates them into a single exchange stack that serves every product and every interface. You will lead a team of four to five product managers, partnered with an engineering manager. It is a senior, independent team, which means you get leverage quickly and you are expected to stay close to the work.   THE OPPORTUNITY - Own the product vision and roadmap for the exchange layer: matching engine, core infrastructure, third-party custody, algo engine and API engine - Lead and grow a team of four to five product managers, and set the bar for product craft across the layer - Lead the consolidation of multiple matching engines into one, starting with US derivatives, then international derivatives, then spot - Build interface-agnostic, so every product team and every interface can build on the same platform rather than their own - Define success metrics (p99 latency, throughput, uptime, resiliency) and hold teams accountable to them - Partner with engineering leaders across exchange and core infrastructure to sequence the migration without disrupting live markets - Partner with Risk and Credit Infrastructure so a client can hold one account and trade every product against it - Anticipate industry shifts and shape our platform to stay ahead - Align cross-functional teams (product, engineering, risk, compliance) around the exchange strategy   WHAT YOU BRING - Senior product leader with experience in exchange, trading, or high-performance platforms - Experience managing and developing product managers, on a team senior enough to run without you in the room - Happy to be a player-coach. This team is independent, so you will own roadmaps and write specs yourself at times, not only review them - Proven ability to set product vision and translate it into a long-term roadmap - Strong understanding of matching engine and market data architecture, and the tradeoffs low latency forces - Experience building platforms for internal customers, with the judgment to tell a platform from a series of bespoke builds - Excellent communication skills — can influence technical and non-technical stakeholders - A passion for crypto markets, market structure, and building the next generation of infrastructure   NICE TO HAVES - Engineering background before moving into product, so you've built or operated high-performance systems yourself and not just specced them - Experience across both spot and derivatives venues, with the market structure differences that come with each - Time at a crypto exchange operating at comparable scale, volume and uptime expectations - Track record building platform roadmaps that interlock with adjacent product orgs rather than running in isolation       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

О проекте и команде: Технологическая компания, развивающая quantitative-инфраструктуру и ML-решения для рынков цифровых активов. Проект находится на pre-launch стадии, команда специализируется на quant research, machine learning и blockchain-разработке. Задачи на этой роли: — Полный цикл исследований по краткосрочной микроструктуре, LP/хеджированию, исполнению, межплощадочным сигналам, распределению риска и смежным задачам crypto/DeFi; — Дизайн исследования: гипотеза, target/разметка, baseline, метрики, причинно корректная OOS-проверка, анализ режимов и явные критерии GO/NO-GO; — Работа с данными: поиск источников, выравнивание времени, контроль качества, построение признаков и воспроизводимые контракты данных; — ML/DL по структуре задачи; RL или другие методы последовательного управления - только когда они действительно оправданы; — Реалистичная симуляция и торговая экономика: комиссии, проскальзывание, ликвидность, задержки, adverse selection, impact, fill assumptions, хеджирование и синхронизация DEX/CEX; — Paper/shadow-стратегии, анализ sim-to-real и совместная работа с quant developer при переносе доказанных решений в production; — Инженерный стандарт исследования: воспроизводимые эксперименты, чистый Python, критичные проверки, мониторинг и дисциплинированное использование LLM/агентов. Ожидания от кандидата: — Проверяемый опыт 2-3 Quant/ML проектов, где вы лично отвечали за существенную часть цепочки от постановки задачи и данных до проверки, кода и решения о внедрении либо GO/NO-GO; — Отличный Python и сильная инженерная база: вы сами пишете, отлаживаете и ревьюите исследовательский код; — Сильную статистику, вероятность, оптимизацию и работу с временными рядами: временную зависимость, leakage, selection bias, uncertainty и честную OOS-проверку; — Глубокое практическое понимание микроструктуры и исполнения: order book/flow, liquidity, latency, fees, slippage, adverse selection, impact, sizing и hedging. — Сильное практическое владение ML/DL для последовательных финансовых данных и способность отличать реальный сигнал от оптимизации метрики; — Высокую самостоятельность: структурировать неясную проблему, выбирать наиболее информативный эксперимент, быстро останавливать слабые гипотезы и принимать решения на основании доказательств; — Рабочее понимание структуры crypto-рынка. Прямой опыт DeFi/DEX будет плюсом, но сильный CEX/microstructure опыт может его компенсировать при быстрой адаптации. Условия и возможности: — Полная занятость, 5/2, гибридный/удаленный формат, офис в центре Москвы; — Работа с реальным капиталом, где качество исследования, реалистичность исполнения и риск-контроль имеют прямое значение; — Прямая работа с Quant/ML, разработкой и руководством компании, высокая самостоятельность и короткий цикл обратной связи; — Небольшая команда, где сильное исследование может стать production-системой, а не закончиться презентацией; — Компенсация всех необходимых инструменты и ПО для работы.

Задачи: — Разрабатывать mobile-first игровой интерфейс: live-плеер, ставки и cash-out в один тап, отрисовка раундов и множителей в реальном времени. — Реализовывать realtime-взаимодействие клиента и сервера через WebSocket / Socket.IO: синхронизация раундов, лидерборды, чат в лобби. — Писать серверную логику на Node.js + TypeScript + Express 5: betting engine, обработка исходов, история ставок. — Работать с PostgreSQL + Prisma, использовать Redis для кэширования и синхронизации состояния. — Покрывать код тестами на Vitest, участвовать в code review. — Поднимать и поддерживать локальное окружение через Docker Compose. Цели на первые 1–3 месяца: — Вместе с командой довести продукт до работающего прототипа и беты. — Возможность влиять на код, архитектуру, технические решения и развитие продукта. Требования: — 3+ года коммерческой разработки на TypeScript — Node.js на бэкенде и React на фронтенде. — Практический опыт с realtime-системами и WebSocket / Socket.IO. — Понимание синхронизации состояния, latency, reconnect-механик и других особенностей realtime. — Уверенная работа с PostgreSQL и Redis. — Опыт построения REST- и WebSocket API. — Понимание производительности и отзывчивости интерфейсов на мобильных устройствах. — Аккуратная работа с тестами (Vitest / Jest) и Git-flow. — Самостоятельность и уровень ответственности Middle+. — Опыт в iGaming / betting, понимание игровых механик и принципов provably fair. Будет большим плюсом: — Опыт работы с Kafka / KafkaJS. — Опыт с ClickHouse. — Работа с видеопотоками (HLS / .m3u8) или computer vision. — Опыт разработки PWA и мобильной оптимизации. — Опыт построения высоконагруженных realtime-систем. Условия: — Full-time. — Испытательный срок — 1 месяц. — Удаленная работа. — Конкурентный доход.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. Job Scope: - Own the data platform roadmap - Define and deliver the product roadmap for our data platform — covering data ingestion, on-chain data parsing, metrics frameworks, data-as-a-service, and data asset management — turning scattered data capabilities into reusable platform products. - Build on-chain data capabilities - Lead multi-chain data ingestion and parsing (EVM, Solana, Bitcoin, Cosmos, etc.). Define standardized parsing logic for transactions, transfers, contract calls, and DeFi interactions. Drive the buildout of address labels, protocol labels, and transaction attribution. - Own token and market data - Own the selection and governance of token metadata, pricing, and liquidity data sources. Establish source priority, fallback, and cross-validation mechanisms across CEX, DEX, third-party aggregators, and in-house indexers. Be accountable for data accuracy, coverage, and latency. - Serve downstream consumers - Partner with business, growth, risk, and BI teams to package data capabilities into APIs, datasets, and self-serve analytics tools that cut the cost of getting answers. - Data quality and governance - Build monitoring, metric definition management, and incident response processes. Eliminate the "same metric, five definitions" problem. - Cross-functional execution - Work closely with data engineering, backend, algorithm, and BI teams on requirement breakdown, prioritization, and delivery. Requirements: - 5-8 years in product management, including 3+ years on data platforms, data infrastructure, or internal data products - Hands-on Web3 experience (wallet, exchange, L1/L2, data provider, DeFi protocol) with real understanding of the business and user behavior - Practical knowledge of on-chain data: blocks, transactions, event logs, internal transactions, and the differences between UTXO and account models; familiarity with the data structures and parsing challenges of major chains - Familiarity with the token data landscape — the strengths, limitations, and appropriate use cases of CoinGecko, CMC, Chainlink oracles, DEX pool pricing, and similar sources - Solid grasp of data warehouse layering (ODS/DWD/DWS/ADS), metrics frameworks, and event tracking design - Able to read and write SQL; can pull and validate data independently Nice to Have - Built a data platform from zero to one - Experience with Dune, The Graph, Nansen, Covalent, Etherscan APIs, or similar tooling - Working knowledge of Flink, Spark, ClickHouse, or Airflow — enough to hold a technical design discussion with engineers - Experience commercializing data products or running external data services ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you. What you'll do Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing. Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability. Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage. Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team. Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices. Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate. Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads. Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity. What you need 8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level. Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information. Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization. A Master's degree in Computer Science, Engineering, or a related field is preferred. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco; New York Workplace: Remote ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT THE ROLE: We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team. This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal. This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations. The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer. WHAT THE ROLE IS: - A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you. - A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed. - A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences. WHAT THE ROLE IS NOT: - A traditional post-sales role. You're measured on revenue, not health scores. - An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth. - A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people. - An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it. - A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job". WHAT YOU'LL ACHIEVE: - Build Modal's account management function and iterate on it as we scale the business - Own and deliver on a revenue target across your book of accounts - Grow an account's first use case, expand into a second, and drive standardization across the Modal platform - Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product - Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap - Travel to customers as needed to support key accounts and drive expansion opportunities WHAT YOU'LL NEED TO BRING: - Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business. - Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack. - AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you. - Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction. - Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it. - Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you. NICE-TO-HAVE: - Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role - Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps) - Early GTM hire experience at a fast-growing startup - You've sat close to GPU spend, model training, or inference workloads

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Задачи: — Администрировать продуктивные и тестовые кластеры ClickHouse, контролировать состояние шардов, реплик, Distributed-таблиц и ReplicatedMergeTree-таблиц; — Диагностировать replication queue, merges, mutations, inserts, деградацию запросов и проблемы с дисковой подсистемой; — Анализировать системные таблицы ClickHouse и состояние кластера; — Участвовать в изменении топологии кластера: добавление шардов, реплик, серверов, изменение Distributed-таблиц; — Планировать горизонтальное масштабирование ClickHouse-кластера; — Оптимизировать схемы данных, партиционирование, ключи сортировки, TTL, индексы, storage policy и настройки сервера; — Работать с хранением данных: локальные диски, LUN, DAS, hot / warm storage, S3-совместимое хранилище; — Прорабатывать дедупликацию данных, повышение уровня сжатия и механизм токенизации / full text search по событиям; — Настраивать и сопровождать ClickHouse Keeper / ZooKeeper; — Настраивать TLS/SSL для клиентских подключений и межсерверного взаимодействия; — Разрабатывать и проверять backup/restore и disaster recovery; — Настраивать мониторинг, алерты и дашборды по ClickHouse; — Готовить Ansible playbooks / roles, runbook’и, инструкции, чек-листы и технические отчёты. — Администрировать продуктивные и тестовые инсталляции MariaDB; — Контролировать состояние серверов, репликации, соединений, транзакций, блокировок и фоновых процессов; — Настраивать и сопровождать репликацию: master-slave, master-master, GTID-based replication; — Диагностировать replication lag, ошибки SQL thread / IO thread, рассинхронизацию данных и конфликты при master-master-схемах; — Участвовать в миграции MariaDB с master-master-репликации на Galera Cluster; — Настраивать, сопровождать и диагностировать Galera Cluster; — Прорабатывать HA-архитектуру MariaDB: failover, fencing, VIP / proxy layer, split-brain-риски; — Разрабатывать и проверять disaster recovery-сценарии, RPO / RTO и восстановимость резервных копий; — Анализировать производительность: slow queries, EXPLAIN, индексы, locks, deadlocks, buffer pool, connection pool, disk IO; — Оптимизировать конфигурацию MariaDB с учётом нагрузки, объёма данных, RAM, CPU, дисковой подсистемы и сети; — Настраивать TLS/SSL для клиентских подключений и репликации; — Настраивать мониторинг, алерты, дашборды и runbook’и по MariaDB. — Участвовать в расследовании production-инцидентов, связанных с ClickHouse, MariaDB, Linux, сетью или дисковой подсистемой; — Анализировать метрики, логи, системные таблицы, состояние репликации, блокировки, диски, сеть и конфигурации; — Формулировать технические гипотезы, проверять их и отделять первопричину от сопутствующих факторов; — Готовить технические выводы по итогам инцидентов и участвовать в postmortem-разборах; — Разворачивать тестовые стенды ClickHouse и MariaDB для проверки архитектурных решений; — Проверять обновления, изменение топологии, расширение хранилища, storage policy и параметры ClickHouse / MariaDB до применения в production; — Автоматизировать типовые операции через Ansible / Bash / Python / Terraform или аналогичные инструменты; — Взаимодействовать с заказчиками, объяснять технические риски понятным языком, предлагать решения и лидировать технические обсуждения. Требования: — Практический опыт промышленной эксплуатации ClickHouse; — Понимание архитектуры ClickHouse: shards, replicas, Distributed tables, ReplicatedMergeTree, MergeTree family; — Опыт диагностики replication queue, merges, mutations, insert/select latency, деградации запросов и проблем с дисковой подсистемой; — Понимание партиционирования, ключей сортировки, TTL, storage policies, disks, volumes, data skipping indexes; — Опыт изменения топологии ClickHouse-кластера или глубокое понимание порядка и рисков таких изменений; — Опыт настройки TLS/SSL для ClickHouse; — Опыт эксплуатации MariaDB в продуктивной или близкой к продуктивной среде; — Понимание MariaDB, InnoDB, транзакций, индексов, блокировок, deadlocks, isolation levels; — Опыт настройки и диагностики репликации MariaDB; — Понимание GTID, binary logs, relay logs, replication lag, failover и рисков master-master-репликации; — Опыт настройки backup/restore MariaDB и проверки восстановимости резервных копий; — Опыт диагностики производительности MariaDB: slow query log, EXPLAIN, индексы, locks, buffer pool, disk IO; — Опыт эксплуатации Linux-серверов; — Понимание влияния CPU, RAM, disk IO, network и filesystem на работу ClickHouse и MariaDB; — Опыт настройки мониторинга и алертов для ClickHouse, MariaDB и инфраструктуры; — Опыт работы с Prometheus, Grafana, Zabbix или аналогичными системами мониторинга; — Опыт автоматизации через Ansible, Bash, Python или аналогичные инструменты; — Умение аккуратно проводить изменения в production: план работ, оценка рисков, rollback-план, проверка результата; — Умение писать техническую документацию: инструкции, runbook’и, чек-листы, postmortem-отчёты. Желательные требования: — Опыт или уверенное понимание Galera Cluster; — Опыт эксплуатации ClickHouse и MariaDB в составе SIEM, SOC, log management, observability, telemetry или других высоконагруженных систем; — Опыт работы с большими объёмами данных: десятки или сотни ТБ; — Опыт работы с ClickHouse Keeper или ZooKeeper; — Опыт эксплуатации ClickHouse / MariaDB на bare metal; — Опыт работы с LUN, DAS, локальными дисковыми массивами и S3-совместимыми объектными хранилищами; — Опыт нагрузочного тестирования ClickHouse и MariaDB; — Опыт построения процедур disaster recovery; — Опыт подготовки архитектурных и эксплуатационных документов для заказчиков; — Опыт работы с ProxySQL, MaxScale, HAProxy, Keepalived, Pacemaker / Corosync или аналогичными решениями; — Опыт проведения регламентных работ с минимальным downtime; — Опыт аудита продуктивных инсталляций у заказчиков. Условия: — Постоянная занятость; — Работа с продуктивной, тестовой и лабораторной инфраструктурой; — Взаимодействие с командой эксплуатации, инженерами SIEM, разработчиками, архитекторами и техническими представителями заказчика; — Участие в планировании изменений, разборе инцидентов и развитии архитектуры хранения данных.

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver. We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization. WHAT YOU'LL WORK ON: Team - Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work - Foster a culture of ownership, accountability, customer obsession, and continuous improvement Technical and Product Direction - Drive technical and product decisions through design reviews, code reviews, and architectural discussions - Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal - Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users - Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production Cross-Functional Leadership - Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators - Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities - Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams YOU MAY BE A FIT IF: - You have 10+ years of industry experience, including 3+ years in a leadership role - You have a track record of building high-performance systems at scale - You have a strong background in cloud infrastructure - You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) NICE-TO-HAVE: - Experience working with LLM inference in production - Familiarity with underlying concepts like engines, kernels, routing, KV cache management, and speculative decoding

Location: Amsterdam; Berlin Workplace: Hybrid ABOUT MOTHERDUCK Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. WHAT YOU WILL DO The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next. Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built. This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe. Key Responsibilities: - Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud. - Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances. - Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end. - Push the state of the art in embedded database performance, distributed execution, and DuckDB internals. - Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation. - Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most. - Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems. - Mentor teammates and help raise the bar for engineering practices across the team. - Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next. WHAT YOU BRING - You've built and shipped complex backend systems, and you know what great looks like. - You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.) - A good foundation in query engines, execution plans, indexing, and performance optimization techniques. - Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at. - You've worked with cloud infrastructure, networking, and building low-latency distributed systems. - You can scope and lead projects that span multiple collaborators and cross-functional dependencies. - You take pride in clear thinking, careful design, and thoughtful tradeoffs. - You're comfortable mentoring peers and helping build a collaborative, high-agency environment. - You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs. WHAT WE PROVIDE - The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases. - Competitive salary and stock options so you have a stake in our flock’s success. - Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond. - A good pension plan - Legendary company events – we bring the whole flock together once a year for unforgettable summits in fun locations, plus 1-2 team gatherings a year to keep our bonds strong. - Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day. PLEASE APPLY Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified?  Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications. MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Westernpips — разработчик программных решений для профессионального трейдинга, алгоритмической торговли и low-latency технологий. Компания работает с 2007 года. Мы ищем Social Media & Community Manager, который возьмет на себя развитие присутствия Westernpips в социальных сетях и профессиональных сообществах. Основные задачи: • Ведение социальных сетей и каналов Westernpips: Telegram, YouTube, LinkedIn, X (Twitter), Facebook, Instagram и других площадок. • Подготовка и публикация постов на английском языке: новости компании, обновления программного обеспечения, новые продукты, технические материалы и другой контент. • Создание и ведение контент-плана. • Поиск новых способов привлечения целевой аудитории и органического роста количества подписчиков. • Поиск тематических сообществ, каналов, групп и площадок, связанных с algorithmic trading, Forex, HFT, FinTech и crypto. • Работа с аудиторией: комментарии, вопросы, обсуждения и развитие сообщества вокруг продуктов Westernpips. • Поиск возможностей для партнерских публикаций, упоминаний и коллабораций. • Анализ активности конкурентов и трендов в социальных сетях. • Анализ результатов публикаций: охваты, вовлеченность, рост аудитории и переходы на сайт. Чего мы ожидаем: • Опыт ведения социальных сетей коммерческих проектов. • Умение самостоятельно писать качественные посты. • Хороший письменный английский язык. • Понимание принципов продвижения и органического роста социальных сетей. • Умение находить целевую аудиторию, а не просто публиковать подготовленный контент. • Опыт работы с FinTech, Forex, Trading, Crypto, SaaS или другими технологическими продуктами будет большим преимуществом. • Умение работать самостоятельно и предлагать новые идеи по продвижению. Мы предлагаем: • Удаленную работу. • Работу с международной аудиторией. • Технологический продукт в сфере algorithmic trading и low-latency trading. • Возможность самостоятельно влиять на стратегию развития социальных сетей компании. • Долгосрочное сотрудничество. При отклике, пожалуйста, приложите примеры социальных сетей или проектов, которые вы ранее вели. Особенно интересны примеры, где вы можете показать рост аудитории, охватов или вовлеченности

Location: EMEA; Romania; Bulgaria; Kenya; Portugal; United Kingdom; Spain; Brazil; South Africa; Argentina; Armenia Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. 👩‍💻 THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within UTC−6 to UTC+3. Oyster’s Data Engineering team is building the foundational AI platform layer that will enable teams across Oyster to develop, deploy, and operate secure, production-grade AI capabilities. As a Senior Data Engineer focused on AI Platform, you’ll work at the intersection of data engineering, platform engineering, and applied AI. You’ll build the data pipelines, services, integrations, and reusable platform capabilities that power AI use cases across Oyster. You’ll leverage Oyster’s existing AWS and Snowflake data platform to make enterprise data accessible, reliable, secure, and useful for AI, supporting capabilities such as LLMs, RAG, embeddings, vector search, AI agents, tool calling, and AI workflows. This is not a traditional data engineering role focused primarily on analytics pipelines or reporting. You’ll help define and build the data and platform foundations that let AI systems move from experimentation to reliable production, working closely with Engineering, Product, IT, and other teams across Oyster. Key Responsibilities - Design and build data pipelines and platform capabilities that support AI applications, knowledge systems, and AI workflows. - Build and maintain data and knowledge pipelines for ingestion, transformation, chunking, embeddings, retrieval, vector search, metadata, and knowledge management. - Develop secure, reusable ways for AI systems to access enterprise data and systems using APIs, MCP, tool calling, and similar patterns. - Build reusable services, libraries, frameworks, and developer tooling that make it easier for engineering teams to build and productionize AI capabilities. - Apply strong data engineering practices around data modeling, data quality, lineage, access, reliability, and governance to AI-related data and systems. - Help establish patterns for AI deployment, observability, evaluation, and lifecycle management, including quality, latency, reliability, security, and cost. - Partner with engineers and stakeholders to take AI use cases from prototype to production, ensuring the underlying data and infrastructure are scalable and maintainable. - Ensure AI platform capabilities meet Oyster’s security, privacy, access control, and data governance requirements. - Evaluate emerging AI and data technologies and determine where they can create meaningful value for Oyster. Core Requirements - 5+ years of experience in data engineering, platform engineering, backend engineering, ML engineering, or a related discipline, with experience building and operating production systems. - Strong Python and SQL skills. - Strong data engineering fundamentals, including data pipelines, data modeling, data quality, orchestration, and secure data access. - Experience with Snowflake, Databricks, or comparable modern data platforms, and tools such as dbt, Airflow, or similar. - Hands-on experience building or supporting production systems using LLMs / generative AI. - Practical experience with one or more of RAG, embeddings, vector search, tool/function calling, AI agents, or enterprise knowledge systems. - Experience building data or platform capabilities that are reusable across teams, rather than only developing one-off solutions. - Experience taking systems from experimentation to reliable production, including considerations around scalability, observability, performance, and maintainability. - Solid understanding of security, authentication/authorization, privacy, and data governance, particularly in the context of enterprise data. - Strong communicator who can work across Engineering, Product, and IT to turn ambiguous AI and data problems into practical engineering solutions. Bonus - Experience with AWS Bedrock or other managed foundation-model platforms. - Hands-on experience with MCP (Model Context Protocol) or similar approaches for connecting AI systems to enterprise tools and data. - Experience with LLM evaluation, observability, monitoring, or AI quality. - Experience with LangChain, LangGraph, or similar frameworks. - Experience with vector databases or search technologies. - Experience implementing AI security, governance, or responsible AI practices. - Experience building internal developer platforms, SDKs, APIs, or reusable infrastructure for engineering teams. - Experience working across data engineering and AI/ML platform environments. YOU'LL ALSO NEED - A reliable home internet connection (or be able to get one). - Fluent English language skills. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT MODAL TALENT: Modal is growing fast, and the programs that bring people in and set them up to succeed are still being built. You’ll join the Talent team as one of its first hires focused on early-career hiring, working closely with recruiting and leadership to build the internship and campus presence that shape how the best people discover and experience Modal for the first time. THE ROLE: As Emerging Talent Recruiter, you will own Modal’s intern program and run full-cycle recruiting for our early-career and internship roles. This is a build-from-the-ground-up role for someone who wants full ownership rather than an existing playbook to execute. You’ll find talent before everyone else does, partner directly with hiring managers to close it, and make sure candidates’ and interns’ first experience of Modal is a great one. Where it makes sense, you’ll also own our career fair presence and talent events, and make sure every program ladders up to real hiring outcomes. WHAT YOU’LL WORK ON: - Own full-cycle recruiting for Modal’s emerging talent roles, from sourcing through offer and close - Partner with hiring managers across Engineering and other teams to define hiring needs, align on candidate profiles, and calibrate on early-career talent - Identify and engage high-potential candidates through universities, student communities, technical networks, referrals, events, and other emerging-talent channels - Design and run the intern program end to end: recruiting timeline, project scoping with hiring managers, mentorship matching, and conversion to full-time - Lead offer and closing conversations, building strong candidate relationships and helping exceptional people understand the opportunity to build their careers at Modal - Represent Modal at career fairs and campus events, and recruit and prep employee brand ambassadors to join you - Build and maintain relationships with university programs, bootcamps, and community organizations that feed our pipeline - Plan and run talent events (meetups, recruiting mixers, tech talks), managing budgets and vendors along the way - Track and report on pipeline health and program metrics: event pipeline conversion, intern conversion rate, and cost per hire from programs - Create a candidate experience that is thoughtful, transparent, and high-touch at every stage - Experiment with new ways to find, engage, and hire great talent early, and turn what works into repeatable practices YOU MAY BE A FIT IF: - You have 2+ years of full-cycle recruiting experience, with a track record of identifying and engaging exceptional talent and strong instincts for candidate quality - You’ve run recruiting or talent programs, events, or university relations, ideally owning a program end to end, including budget and vendors - You learn new talent markets quickly, calibrate to a high hiring bar, and can recruit across different roles and functions - You’re a strong project manager: you juggle multiple pipelines, events, and timelines without dropping details or sacrificing candidate quality - You’re high influence, low ego: you build relationships easily across recruiting, hiring managers, and marketing, and share credit freely - You communicate well, in writing and in person, and you’re comfortable representing Modal externally - You take ownership seriously: you drive programs to completion and build structures that let them scale - You have an experimental mindset and like trying new approaches - You’re based in or willing to relocate to NYC, in-office