Вакансии

Задачи: — Проектировать архитектуру сервисов в доменах категорий и карточек товаров. — Разрабатывать сервисы категорий, параметров и карточек, API для витрины и внутренних потребителей. — Создавать и развивать микросервисы. — Оптимизировать latency, запросы к хранилищам и обработку изменений данных. — Согласовывать API, контракты и интеграционные решения со смежными командами. — Участвовать в выборе технических решений и декомпозиции задач. Требования: — Опыт разработки на Java/Kotlin от трёх лет. — Умение проектировать клиент-серверное взаимодействие. — Знание классических алгоритмов и структур данных. Условия: — Ежегодные медицинские чекапы, йога и психотерапия.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa About OKX At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters. We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability. What You’ll Be Doing Lead the architecture, design, and development of complex, high-performance C++ trading systems. Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries. Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation. Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour. Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities. Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification. Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms. Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries. Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture. Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices. Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks. What We Look For In You Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued. 5+ years of hands-on software engineering experience, with substantial experience building production C++ systems. Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs. Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments. Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs. Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour. A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution. Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes. Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability. Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team. Nice to Haves Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems. Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms. Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments. Practical experience applying AI tools to improve software engineering workflows and code quality. Experience working with globally distributed, cross-functional engineering teams. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there. We own the model layer of Notion AI: integrating frontier models as they ship, keeping inference reliable and economical at scale, and building new capabilities that other teams take advantage of.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Bring new frontier models into production quickly, making them available for our users and our engineers. - Make inference reliable: better error categorization, self-healing retries, and cross-provider failover. - Own observability for the model layer, driving down both time to detection and time to fix. - Build new model-level capabilities and help product teams adopt them. - Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner. SKILLS YOU'LL NEED TO BRING: - Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now. - AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't. - Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production. - Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data. - Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $255,000 – $300,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: New York; Stockholm; 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: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: - Self-serve AI analytics tools (Hex, Snowflake) - Embedding with teams as a “data adviser,” providing strategic analysis and consulting WHAT YOU'LL WORK ON: - Contribute to building the most modern analytics stack https://modal.com/blog/analytics-stack in data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting - Influence work on new products like LLM Inference Endpoints https://modal.com/blog/qwen3-8-2-4t-a95b-now-available-on-modal through product analytics tracking - Identify millions of dollars of cost savings and optimization across our tools and financial operations - Write data pipelines that power the operations of our business, such as our cloud compute economics or sales comp - Create foundational datasets that can be used by people and AI tools to answer questions around product use cases, financial reporting, and marketing campaigns YOU MAY BE A FIT IF: - You’re fluent in SQL and proficient in Python - You have professional experience with at least 2 of the following tools: Snowflake, dbt, dlt, Modal, Hex, PostHog - You extend your work beyond just data reporting and into action and impact - You have high attention to detail - You’re an excellent and precise communicator - You’re personable and great at building relationships NICE-TO-HAVE: - Experience with AI products, especially LLM inference and sandboxes - Experience in fin ops, fraud, sales ops, or risk, especially in the context of AI (e.g. token cost optimization) - Project management skills - Strong presence in the data community online and offline

Задачи: — Развивать платформу: работать над функционалом, стабильностью и производительностью; — Развивать AI-функционал: LLM-based сценарии, tool calling, RAG, работу с контекстом, кэширование и другие механики; — Разбираться со сложными production-инцидентами и устранять причины проблем; — Превращать пожелания клиента в дорожную карту запуска; — Проектировать архитектуру интеграции Sance.AI с инфраструктурой клиента; — Отвечать за техническую часть сложных клиентских запусков от discovery до production; — Менторить junior/middle-разработчиков, помогать с декомпозицией задач, архитектурой и сложными техническими вопросами; — Проводить code review и повышать качество решений команды. Требования: — Опыт от 4 лет в разработке, желательно с production-опытом в AI/LLM-продуктах; — Уверенные знания Python и backend: asyncio, очереди, кеширование, конкурентность; — Практический опыт создания production-функционала на базе LLM, а не только использование ChatGPT; — Опыт с OpenAI API или другими LLM API, prompt engineering, tool calling, RAG, caching, context management; — Опыт с embeddings, vector search, agentic workflows, тестированием и evals; — Понимание production-проблем: latency, стоимость, rate limits, hallucinations, retries, observability; — Уверенная работа с REST API сторонних сервисов, webhooks и внешними сервисами; — Опыт интеграций с CRM, особенно amoCRM и/или Bitrix24; — Самостоятельность и ownership: умение довести размытую бизнес-задачу до работающего production-решения, видеть системные проблемы и помогать команде расти. Будет плюсом: — Опыт B2B/Enterprise-внедрений, highload и event-driven систем; — Собственные AI-проекты и опыт работы в стартапах. Условия: — Работа в быстрорастущем AI-стартапе, влияние на продукт, архитектуру и процессы; — Разнообразные задачи, крупные клиенты и короткий путь от идеи до production; — Быстрый карьерный рост.

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. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing. We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community. Come here to build and grow this Community for us.   THE OPPORTUNITY - Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing. - Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes. - Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud. - Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it. - Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened. - Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes. - Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks.   WHAT YOU’LL BRING - You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary. - 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count. - You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower. - You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back. - You've built something from a standing start, not just maintained an existing account. - You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it. - You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity. 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. Offering spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken Pro is where serious traders work. Tight spreads, deep books, an API people actually build on. The people who use it are demanding, opinionated, and allergic to marketing. We want someone who belongs in that room. Not a brand account with a person behind it, but a trader's trader who happens to be very good at building community. Come here to build and grow this Community for us. THE OPPORTUNITY - Live in the trenches. Discord, Telegram, X, TradingView, Reddit, the group chats you're already in at 3am. You're not "monitoring channels". You're a participant, with standing. - Be the fastest voice in the room. When a chain halts, a listing drops, or the market goes vertical, you're posting before the screenshots start circulating. Speed with accuracy, not vibes. - Build the inner circle. Stand up an ambassador and power-user program: the market makers, quant desks, and high-volume traders who'll tell you the truth about the product. Give them a reason to stay loud. - Run the room in public. AMAs, live trading sessions, feature launches, competitions, post-mortems when we get something wrong. Own the format, don't just attend it. - Close the loop with Product. You'll be the first to hear that the order entry flow is broken. Your job is to get it to the PM with receipts, then go back and tell the community what happened. - Write things people screenshot. Threads on microstructure, teardowns of new features, release notes that don't read like release notes. - Prove it worked. Sentiment, share of voice, community-sourced signups, retention of the accounts that matter. You bring the numbers to the table before anyone asks. WHAT YOU’LL BRING - You trade. Actual positions, actual scars. You can hold a conversation about funding rates, maker/taker economics, slippage, and latency without reaching for a glossary. - 3+ years running community or social for a product with a technical, skeptical audience. Crypto, fintech, gaming, or dev tools all count. - You write fast and well. Short-form that lands, long-form that holds up under scrutiny from people smarter than the average follower. - You have thick skin and good instincts. Crypto community management means getting yelled at with an audience watching. You de-escalate without going corporate and you know when to push back. - You've built something from a standing start, not just maintained an existing account. - You operate without a brief. Markets don't wait for approval chains, and neither should you… because you know where the line is and you don't need a committee to find it. - You're comfortable with the ambiguity of a company that ships constantly and reorganizes around opportunity. 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

Требования: — Экспертный опыт администрирования Linux — Опыт сопровождения высоконагруженных distributed systems — Глубокое понимание S3/Object Storage и distributed storage architecture — Опыт сопровождения Kubernetes-платформ — Практический опыт эксплуатации компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg — Опыт эксплуатации MinIO / Object Storage решений — Понимание replication, erasure coding, consistency, fault tolerance — Практический опыт troubleshooting: CPU, RAM, network, disk I/O, latency, throughput — Опыт работы с observability stack: Prometheus, Grafana, alerting, log analysis — Опыт автоматизации: Ansible, Terraform, Bash, Python — Понимание incident/problem management и SRE-практик — Навыки RCA, postmortem analysis и повышения reliability платформ Задачи: — Сопровождение и эксплуатация Data Lake платформ — Поддержка S3/Object Storage инфраструктуры — Мониторинг, диагностика и устранение инцидентов — Troubleshooting производительности платформы и storage систем — Сопровождение Kubernetes и компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg — Проведение RCA и postmortem analysis — Автоматизация эксплуатационных задач — Взаимодействие с командами Data Engineering и инфраструктуры — Сопровождение Big Data Platform Условия: — удаленный формат работы — Белая заработная плата, оформление согласно Трудовому кодексу РФ — Комфортный старт: 3 месяца плавного погружения под присмотром HR — Поддержка: IT-отсрочку и консультации HR/юристов — Прозрачные процессы и открытую коммуникацию — Работу на лучшем оборудовании без логирования времени, с фокусом на доверии и результате — ДМС: медицинское страхование за счет компании — Развитие: индивидуальный план обучения, посещение конференций и митапов, поддержка в развитии карьеры — Личный бренд: возможность выступать на конференциях, митапах, публикация статей — Бенефиты: ежеквартальное обновление корпоративных скидок — Движ: организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей

Location: San Francisco; 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. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them. You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms. WHAT YOU'LL WORK ON: - Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil - Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity - Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration - Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network) - Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.) - You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVES: - Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink) - Prior experience with Go

Location: Stockholm; 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. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. WHAT YOU’LL WORK ON: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVE: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are currently seeking a Public Cloud Operations Expert to join our Singapore team. You be will responsible for the full lifecycle management of enterprise-level hybrid cloud infrastructure, leading unified orchestration, operations, and cost optimisation of AWS and Alibaba Cloud resources, ensuring high availability, high performance, and compliance. What You’ll Be Doing Cloud Platform Architecture & Operations Plan, deploy, monitor, and maintain AWS services (EC2, S3, VPC, Lambda, EKS, etc.) and Alibaba Cloud services (ECS, OSS, VPC, Function Compute, ACK, etc.). Design highly available, auto-scaling cloud architectures, optimizing network (e.g., Alibaba Cloud CEN, AWS Direct Connect), storage, and compute resource configurations. Monitoring & Incident Management Implement full-stack monitoring and alerting using cloud-native tools (AWS CloudWatch, Alibaba Cloud CloudMonitor) and open-source solutions (Prometheus+Grafana, ELK). Lead critical incident response, perform root cause analysis, and implement preventive measures (e.g., resource contention, misconfigurations, network latency). Cost Optimisation & Resource Management Analyse cloud resource usage, reduce costs via reserved instances, auto-scaling, and storage lifecycle policies (e.g., AWS S3 Intelligent-Tiering, Alibaba Cloud OSS Archive). Establish resource quota management strategies to prevent waste and overspending. Security & Compliance Implement cloud security baselines (security groups, IAM policies, Alibaba Cloud RAM permissions, AWS Security Hub), conduct regular security audits, and remediate vulnerabilities. Design granular access controls using AWS IAM and Alibaba Cloud RAM, and enforce database auditing (e.g., AWS CloudTrail + Alibaba Cloud DAS). Cross-Team Collaboration & Knowledge Sharing Collaborate with development teams to optimize application architectures and provide cloud-native solutions (Server-less, Microservices). Document operational procedures (SOP manuals) and lead internal technical training sessions. What We Look For In You Technical Skills Mastery of core services (compute/storage/network/security) on AWS or Alibaba Cloud, with familiarity in the other platform. Proficient in Linux/Windows system operations and automation tools (Shell/Python/Ansible). Hands-on experience with containerized operations (Kubernetes, ECS/EKS, ACK) and cloud-native technologies (e.g., Service Mesh). Experience Requirements 5+ years of operations experience, with at least 3 years focused on public cloud (AWS/Alibaba Cloud) environments managing 100+ instances. Experience in building cloud platforms from scratch, hybrid cloud architecture design, or large-scale migration projects (e.g., IDC-to-cloud) is preferred. Team Management Excellent team management and communication skills to lead and collaborate with operations, development, testing, and security teams. Certifications & Education AWS Certified SysOps Administrator or Alibaba Cloud ACP/ACE certifications are preferred. Bachelor’s degree or higher in Computer Science, Network Engineering, or related fields. Nice-To-Haves Familiarity with multi-cloud management platforms (AWS, Alibaba Cloud, Azure) or FinOps cost optimisation methodologies. Experience in cloud security practices, including Web Application Firewall (WAF) and DDoS protection (Alibaba Cloud Anti-DDoS Premium, AWS Shield). Exposure to big data/AI operations (e.g., Alibaba Cloud MaxCompute, AWS EMR). Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York 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 considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions. WHAT YOU'LL WORK ON: - Think holistically about content architecture and how the docs should evolve as Modal introduces new products and features - Innovate on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team - Develop content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality - Build and maintain automated pipelines that enforce the correctness of code examples and prose descriptions - Collaborate with engineers across the company to author documentation that is clear, consistent, and correct YOU MAY BE A FIT IF: - You have 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space - You’ve authored or edited high-quality technical content for developers - You’re knowledgeable about agentic engineering workflows and best practices - You’re comfortable with modern software development practices (version control, CI/CD, testing)

Задачи: — Развитие платформы: работа над функционалом, стабильностью и производительностью; — Развитие AI-функционала: LLM-based сценарии, tool calling, RAG, работу с контекстом, кэширование и другие механики; — Разбор сложных production-инцидентов, устранение причин проблем; — Клиентские внедрения: превращение пожеланий клиента в дорожную карту запуска; — Проектирование архитектуры интеграции с инфраструктурой клиента; — Ответственность за техническую часть сложных клиентских запусков от discovery до production; — Менторство junior/middle-разработчиков, помощь с декомпозицией задач, архитектурой и техническими вопросами; — Проведение code review и повышение качества решений команды. Требования: — От 4 лет коммерческого опыта в Python и backend, от 1 года в продуктовой команде; — Уверенные знания asyncio, очередей, кеширования, конкурентности; — Практический опыт создания production-функционала на базе LLM, а не только использование ChatGPT; — Опыт с OpenAI API или другими LLM API; — Знания prompt engineering, tool calling, RAG, caching, context management; — Опыт с embeddings, vector search, agentic workflows; — Навыки тестирования и evals; — Понимание production-проблем: latency, стоимость, rate limits, hallucinations, retries, observability; — Уверенная работа с REST API сторонних сервисов, webhooks и внешними сервисами; — Опыт интеграций с CRM, особенно amoCRM и/или Bitrix24; — Самостоятельность и ownership: умение довести размытую бизнес-задачу до работающего production-решения, видеть системные проблемы и помогать команде расти. Будет плюсом: — Опыт B2B/Enterprise-внедрений, highload и event-driven систем; — Собственные AI-проекты и опыт работы в стартапах. Условия: — Работа в быстрорастущем AI-стартапе; — Влияние на продукт, архитектуру и процессы; — Разнообразные задачи, крупные клиенты и короткий путь от идеи до production; — Быстрый карьерный рост.

DistBuild — это сервис распределённой сборки и тестирования в экосистеме инструментов разработки Яндекса. Каждый день на DistBuild выполняются сотни миллионов автоматических тестов, проверяющих десятки тысяч пул-реквестов в монорепозитории Аркадии. Сервис используется для ускорения локальной сборки больших проектов и подготовки релиз-кандидатов в CI/CD-пайплайнах. Задачи: — Повышение эффективности кластера, борясь за Throughput всей системы, при этом учитывая Latency для улучшения пользовательского опыта разработчиков. — Повышение стабильности сервиса, улучшение надёжности и качества жизни разработчиков. — Решение крупных вызовов, включая ускорение локальных сборок за счёт вычислительных мощностей кластера DistBuild. Требования: — Разработка на C++. — Хорошее знание Linux. — Способность самостоятельно проектировать фичи, видеть плюсы и минусы дизайна. Будет плюсом: — Опыт разработки высоконагруженных распределённых систем. — Опыт работы с фреймворком gRPC. — Знание YDB. Условия: — Предоставляются ежегодные медицинские чекапы, йога и психотерапия, а также другие бонусы (полный список доступен по ссылке).

Задачи: — Обеспечение надежности, масштабируемости и производительности распределенной инфраструктуры ZK-сопроцессоров. — Управление парком блокчейн-нод (RPC, Validators) и специализированных Prover-нод в мультичейн среде. — Автоматизация процессов развертывания и управления инфраструктурой (IaC) с использованием Terraform / Pulumi. — Глубокий мониторинг и алертинг (Prometheus, Grafana, VictoriaMetrics) с фокусом на специфические метрики блокчейна и прувинга. — Оптимизация производительности систем (Performance Tuning) и работа над минимизацией сетевых задержек (low-latency). — Управление инцидентами, проведение Post-mortem анализа и разработка мер по предотвращению повторных сбоев. — Внедрение и развитие практик GitOps и CI/CD пайплайнов для инфраструктурных и прикладных сервисов. Требования: — Опыт работы в роли SRE или DevOps Engineer от 4-5 лет. — Экспертное владение Kubernetes (управление кластерами, написание Helm чартов / Operator SDK). — Глубокие знания Linux internals, сетевых протоколов и безопасности. — Опыт работы с облачными провайдерами (AWS — основной, GCP/Azure). — Уверенное владение Python или Go для написания инструментов автоматизации. — Практический опыт работы с инструментами IaC (Terraform). — Английский язык: Upper-Intermediate (свободная коммуникация в международной команде). Будет плюсом: — Опыт эксплуатации блокчейн-инфраструктуры (Ethereum, L2s, Solana). — Понимание специфики работы ZK-Rollups или систем с интенсивными вычислениями (GPU/FPGA acceleration). — Опыт работы с инструментами распределенной трассировки (Jaeger / Tempo).

About CircleCI Engineering: CI/CD is being reinvented with AI agents that write code, trigger builds, interpret failures, and propose fixes. CircleCI is building new interfaces for developers to understand and trust this work. Team-Agnostic Placement: Hiring is for CircleCI as a whole, not a specific team. Placement depends on where your strengths create the most leverage. Possible areas include CI pipeline experience, deploy and release tooling, notification infrastructure, monetization flows, AI agent surfaces, or the foundational web platform. The role involves full-stack ownership and high craftsmanship. What You'll Do: — Build AI-natively, using AI as the default approach to problem solving. — Invent new interfaces for software delivery that support autonomous pipelines and human judgment. — Own the full stack by building features end-to-end in Go, React, and TypeScript. — Focus on reliability and responsiveness as design concerns. — Champion observability using Honeycomb, Datadog, and Rollbar to improve systems. — Proactively identify and close gaps without being asked. What You'll Bring: — AI-native engineering practices with daily use of AI tools and understanding of their impact. — At least 3 years of production full-stack experience with a track record of shipping real products. — Strong skills in React and TypeScript, and comfortable owning backend services in Go including API design, data modeling, and service integration. — System design skills with conscious tradeoffs and documentation. — Production mindset focusing on latency, responsiveness, and reliability in distributed environments. Additional Information: The role is remote based in Ontario, Canada. Salary range is $127,000 to $159,000 CAD per year. CircleCI is an equal opportunity employer and provides accommodations for individuals with disabilities during the application and interview process.

Задачи: — Разработка высоконагруженных backend-сервисов и внутренних API на Go. — Проектирование и развитие микросервисной и распределённой архитектуры: идемпотентность, консистентность, retries, deadlines, отказоустойчивость. — Написание конкурентного кода на goroutines, channels и примитивах синхронизации. — Проектирование REST/gRPC API и согласование контрактов с другими командами. — Асинхронное взаимодействие сервисов через брокеры (Kafka, NATS, RabbitMQ). — Работа с БД: проектирование схем, индексы, оптимизация запросов, транзакции; Redis для кэша и хранения. — Профилирование и оптимизация: CPU, память, аллокации, GC, throughput и latency. — Тестирование: unit- и integration-тесты. — Docker и Kubernetes: деплой, ресурсы, health checks. — Участие в построении CI/CD. — Мониторинг, логирование, трейсинг, алерты и дашборды. — Code review, участие в архитектурных решениях и техдизайне. — Управление техдолгом и рефакторинг. — Разбор production-инцидентов, повышение надёжности. — Документирование технических решений. Требования: — Коммерческая разработка от 5 лет, из них опыт production-разработки на Go от 3-4 лет. — Глубокое знание Go: goroutines, channels, примитивы синхронизации, паттерны конкурентности, memory model, GC, runtime. — Опыт написания конкурентного кода без гонок данных. — Умение профилировать и оптимизировать приложения с помощью pprof (CPU, память, аллокации). — Опыт работы с generics. — Понимание сетевого программирования. — Опыт разработки высоконагруженных и распределённых систем. — Опыт проектирования микросервисной архитектуры. — Понимание event-driven архитектуры и асинхронного взаимодействия между сервисами. — Сильные навыки System Design. — Понимание принципов отказоустойчивости: retries, deadlines, идемпотентность, консистентность данных. — Опыт проектирования и разработки HTTP / REST / gRPC API. — Уверенное знание SQL и PostgreSQL или MySQL: сложные запросы, CTE, оконные функции, индексы, транзакции, оптимизация. — Опыт работы с NoSQL-хранилищами. — Практический опыт работы с Redis. — Опыт работы с одним или несколькими брокерами сообщений: Kafka, NATS/JetStream, RabbitMQ. — Опыт работы с Docker и Kubernetes: деплой, управление ресурсами, health checks, readiness/liveness probes. — Опыт работы с Git и CI/CD (GitLab CI, GitHub Actions, TeamCity или аналоги). — Хорошее понимание Linux, сетей и TCP/IP. — Опыт написания unit- и integration-тестов. — Опыт работы с мониторингом (Prometheus, Grafana), логированием и трейсингом. — Опыт проведения code review и участия в принятии архитектурных решений. — Умение документировать технические решения. Будет плюсом: — Опыт построения observability: OpenTelemetry, Jaeger, ELK. — Опыт работы с CI/CD и GitOps: ArgoCD и аналоги. — Опыт работы с распределёнными и NoSQL-базами данных: ClickHouse, MongoDB, YDB, CockroachDB. — Опыт работы с IAM, OAuth2/OIDC, mTLS и безопасным межсервисным взаимодействием. — Знание Python для скриптов, автоматизации и работы с legacy-кодом. Условия: — Поток действительно интересных проектов, релевантных твоему опыту и с учетом текущей загрузки. — Формат работы 5/2, полная или частичная занятость. — Оформление в удобном для тебя формате: ИП или самозанятость. — Полная удаленка. — Возможность менять проекты внутри компании — с учётом твоей экспертизы, интереса и текущей загрузки. — Прозрачность условий и коммуникации, поддержка на всех этапах до выхода на проект и во время работы.

Location: Lithuania 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).