Вакансии

Задачи: — Разрабатывать и эксплуатировать интеграционные продукты, связывающие Salesforce, SAP и carrier data lake. — Проектировать и реализовывать интеграции MuleSoft/API между Salesforce, SAP и carrier data lake. — Определять и поддерживать API контракты, сопоставления полей, трансформации и автоматические тесты. — Использовать Data Modeler для разработки и поддержки точных сопоставлений данных между системами. — Отлаживать и самостоятельно решать проблемы интеграции в продакшене, включая анализ корневых причин и профилактические улучшения. — Инструментировать интеграционные пайплайны с мониторингом, логированием и алертингом. — Поддерживать интеграции перехода маркетингового портфеля, избегая ненужных точечных зависимостей и нового интеграционного долга. — Использовать AI-инструменты для ускорения создания черновиков сопоставлений, API-заглушек, генерации тестов, документации и шаблонов обработки ошибок. — Проверять и улучшать AI-сгенерированный код для соответствия стандартам надежности, поддерживаемости и качества. — Автоматизировать воспроизведение, повторные попытки, алерты и процедуры восстановления для снижения среднего времени восстановления (MTTR). — Постоянно улучшать надежность, наблюдаемость и операционную эффективность интеграций. Требования: — Опыт интеграционной инженерии не менее 5 лет. — Практический опыт работы с MuleSoft или аналогичной корпоративной ESB/API платформой. — Опыт интеграции с SAP, включая IDoc, API и/или BAPI. — Опыт интеграций Salesforce и корпоративных API паттернов. — Опыт работы с паттернами интеграции и загрузки данных в data lake. — Глубокое понимание API контрактов, сопоставления данных, трансформаций, тестирования и архитектуры интеграций. — Опыт поддержки интеграций в продакшене, включая мониторинг, отладку, алертинг, повторные попытки и разрешение инцидентов. — Способность самостоятельно владеть производственными проблемами и доводить их до решения и предотвращения. — Опыт использования AI-копилотов или агентов для ускорения инженерных процессов. — Сильное инженерное суждение и умение проверять, тестировать и улучшать AI-сгенерированный код и артефакты перед выпуском в продакшен. Условия: — null

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Network Engineer / Sr. Network Engineer Nebius is an AI-centric purpose-built for intensive GPU using company. As our global footprint accelerates toward multiple gigawatts of capacity, we are establishing our regional network engineering presence in the Asia-Pacific region. We are looking for a hands-on, high-autonomy Network Engineer / Senior Network Engineer to drive the build-out, connectivity, and continuous production operations of our regional data centers, PoPs, and transport fabrics across APAC, with connectivity to EU/the US region and IP transit/PNI services. In this role, you will be the boots-on-the-ground technical authority in the region. You will bridge low-level physical bringing-up with modern CLOS fabrics, collaborating closely with our core engineering teams in the EU (Amsterdam HQ) and the US within a global follow-the-sun operational model. This position is fully remote within the APAC region (preferred hubs: Singapore, India), with periodic domestic/regional site visits and occasional sync trips to our engineering headquarters in Amsterdam. Your Responsibilities Will Include: End-to-End Infrastructure Ownership: Take complete operational and deployment ownership of the network stack across APAC sites—ranging from Day-0 Out-of-Band (OOB) part of network as seed , console setups, and management L2 switches to high-scale leaf-spine frontend fabrics (EVPN/VXLAN) 400g/800g/1,6T ready and regional DCI/Backbone boundaries (BGP/MPLS/SRv6). High-Autonomy Site Bring-up & Operations: Act independently to triage, debug, and deliver connectivity in fast-moving, greenfield colocation environments. Make sound architectural and operational calls on short notice when counter parts oversight is offline. Global Collaboration & Follow-the-Sun Alignment: Partner tightly with core architecture, backbone, and platform teams in the EU and US. Own regional operational handoffs, participate in global on-call rotations, and conduct changes in coordinated regional maintenance windows. Team Scaling & Knowledge Offloading: As the APAC team expands, actively onboard new engineers, write rigorous runbooks, and offload operational pipelines to incoming peers to keep the team scalable. Dynamic Execution: Operate effectively in a high-velocity environment where quarterly business priorities, cluster locations, and deployment schedules adjust dynamically to customer demand. We Expect You to Have: Proven Production Routing & Switching Depth: Solid hands-on experience operating Service Provider or Scale Data Center networks. Deep working knowledge of BGP, IS-IS (or OSPF), EVPN/VXLAN, SR-MPLS/SRv6, ECMP load balancing, and L3VPN architectures. CLOS Fabric & L2–L4 Diagnostics: Strong diagnostic instincts in multi-tier Clos fabrics. Practical mastery of TCP/IP, IPv4/IPv6 dual-stack environments, packet analysis (tcpdump, Wireshark), interface error rates, and QoS queue behavior. Full-Stack Network Mindset: Comfort with the entire operational pipeline: you are equally willing to console into an unconfigured management switch/OOB router at an unpolished greenfield site and tune BGP policy on multi-terabit edge borders (Juniper preferred, or relevant cisco/nokia). Vendor Agility: Practical configuration and troubleshooting experience across modern network operating systems (Juniper Junos, Cisco IOS-XR, Arista EOS, or NVIDIA/Cumulus). Startup Agility & Timezone Flexibility: Proven ability to self-direct, prioritize backlogs under ambiguous requirements, and maintain effective working overlap with European (CEST) and US (EST/PST) teams when critical milestones hit. Communication: Professional working proficiency in English, with the ability to document complex systems clearly and communicate concisely under Sev-1 pressure. It Will Be an Added Bonus If You Have: Practical scripting and network programmability skills (Python or Go, Git, NetBox, telemetry pipelines). Practical exposure to high-performance AI networking: RoCEv2 (PFC, ECN/DCQCN, MCR) fabrics. Experience interfacing directly with regional APAC telecom carriers, dark fiber providers, subsea consortiums, and local Internet Exchanges (e.g., Equinix IX, JPIX, SGIX). Familiarity with Linux networking fundamentals, bridge-domains, and host-routed container networking (BGP-to-the-host). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Проектировать и реализовывать критичные компоненты: policy engine, signing orchestration, key lifecycle, recovery flows, approvals, audit trails, multi-tenant wallet/account сервисы — Строить высоконагруженные multi-tenant SaaS-системы (изоляция тенантов, rate limiting, backpressure и т.д.) — Работать с distributed systems, reliability patterns, security-by-design — Активно использовать AI-инструменты (Claude Code, Cursor, Codex) как core-компетенцию Требования: — Сильные CS fundamentals (concurrency, distributed systems, consistency и т.д.) — 7+ лет backend на Go — Реальный опыт работы с современными AI coding tools + умение критически проверять AI-код — Опыт построения высоконагруженных multi-tenant SaaS — Опыт работы в криптоиндустрии (криптобиржи, блокчейн-проекты, Web3) Будет большим плюсом: — Опыт в custody/wallets/MPC/HSM/Ledger — Blockchain (EVM + Bitcoin обязательно, остальное в плюс) — Регулируемая среда (SOC 2, ISO 27001 и т.д.) — Kubernetes, SRE-практики Условия: — AI-first культуру с бюджетом на инструменты — Сильную команду (криптографы, security, SRE, Product) — Оплата в EUR / USD / криптовалюта — Полностью удалённый формат работы

Location: Spain; Romania; Hungary; Portugal; Slovakia; Brazil; Poland; Colombia; Mexico 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. Location: Fully remote. To create the best experience for you and to meet our business needs, this role requires you to be based either within EMEA or Americas. As a GTM Engineer you'll be the technical operator behind Oyster's revenue engine. You'll build, connect, and automate the software systems that drive pipeline. Turning high-level commercial strategy into workflows that run reliably, without anyone even touching them. Sitting in Revenue Operations, you'll work alongside GTM Teams. Our GTM stack spans a CRM, enrichment and data providers, outbound tooling, our marketing automation platform, the data warehouse, and Oyster's own product APIs. Your job is to make that a coherent system rather than a pile of disconnected tools: clean data flowing to the right place, leads scored and routed in seconds, and reps working from information they can trust. AI is a key part of the toolkit - you'll use it across the end-to-end funnel to automate and boost workflows, for things like prospect research at volume, personalisation, and buying-signal detection. Where a traditional ops hire would build a rules-based scoring model, you'll build an agent that reads a prospect's careers page, funding history, and hiring footprint and hands a rep a research brief worth acting on. The foundation is a strong combination of commercial processes, systems and data - that's where the work lives. CORE RESPONSIBILITIES - Design the architecture of the GTM stack: CRM objects and fields, lifecycle stages, territory and routing logic, sync patterns between systems, and the contracts between them. - Integrate systems end to end: CRM (Salesforce), enrichment providers (Clay, Zoominfo), outbound and sequencing platforms (Nooks, Salesloft), marketing automation (Hubspot), the data warehouse, and Oyster's product APIs (using APIs, webhooks, and scripts rather than waiting for a native connector) - Ship AI-driven GTM workflows - prompt chains, agents, and signal-detection pipelines that automate prospect research, personalised outreach, and real-time buying-signal alerts and more. - Optimise our commercial processes. It’s not only about installing Tech & AI, it is also about taking ownership and evolving the ways we generate revenue. - Build automated data waterfalls that pull, clean, deduplicate, and route prospect and account data into the CRM, so reps work from data they can trust. - Work in a system that's already live. Reverse-engineer existing processes and the reasoning behind them, identify what to keep versus replace, and land changes through a migration plan that keeps pipeline, reporting, and day-to-day selling intact throughout. - Instrument what you build: define the metric each workflow is supposed to move, measure it, and evaluate output quality so automations stay trustworthy as they scale. - Keep the stack maintainable and compliant - sensible data handling, monitoring and alerting on the pipelines or agents you build, documented workflows, and no single points of failure that live only in your head. - Partner with GTM to translate commercial goals into technical solutions, and be honest about which ideas are worth building. MINIMUM REQUIREMENTS - 5+ years in a GTM engineering, Revenue operations, growth engineering, or marketing/sales engineering role, or a software engineering background you've deliberately pointed at revenue problems. - Clear, proven examples of solutions you've implemented that drove measurable pipeline impact. We'll ask you to walk us through them: what you built, why, and what moved as a result. Specifics matter more than scale - Deep, hands-on knowledge of the modern GTM stack. You've architected a CRM rather than just administered one: navigating existing processes to own the re-configuration of objects and fields, lifecycle stages, routing and territory logic, and the sync patterns that keep multiple systems consistent. Salesforce or HubSpot, plus enrichment providers, outbound and sequencing tools, marketing automation, and platforms such as Clay. - You build custom integrations, and can wire up a tool nobody at the company has used before from the docs alone. - Experience owning production workflows: error handling, retries, idempotency, monitoring, and alerting. - Working experience using AI/LLMs in a GTM or automation context - prompt and context engineering, and strong judgement to know where a model beats a rule and where it doesn't - Commercial instinct. You understand funnel mechanics, conversion rates, and unit economics well enough to spot which automation is worth building and which is a distraction - A bias toward shipping. You prototype quickly, put things in front of real users, and iterate rather than designing in the abstract. 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.

Nitka Technologies is an international IT company specializing in custom software development and IT consulting. The position is for a Senior Data Engineer working with Delphix technology. The work format is remote.

Fledge — международная продуктовая компания, развивающая dating-продукт для рынков США, Европы и других стран. Полностью распределённая команда. Задачи: — Развивать и поддерживать систему автоматизированного тестирования продукта (UI и API на Python) — Проектировать и совершенствовать архитектуру автотестов, обеспечивая их стабильность, читаемость и масштабируемость — Покрывать автотестами существующий функционал и новые продуктовые сценарии — Поддерживать тестовую инфраструктуру и интеграцию автотестов с CI/CD — Анализировать требования и участвовать в обсуждении новых функций на ранних этапах — Разрабатывать и поддерживать тестовую и техническую документацию — При необходимости проводить ручное функциональное и регрессионное тестирование — Выявлять дефекты, оформлять их в Jira и сопровождать процесс исправления — Участвовать в подготовке и сопровождении релизов — Взаимодействовать с разработчиками, аналитиками, продакт-менеджерами и QA-командой — Предлагать и внедрять улучшения процессов тестирования и автоматизации Условия: — Полностью удалённая работа — Международная распределённая команда — Высокая степень самостоятельности и возможность влиять на технические решения — Быстрое принятие решений без лишней бюрократии

Nitka Technologies is an international IT company specializing in custom software development and IT consulting. The vacancy is for a Senior SRE Engineer / Platform Reliability Engineer position with remote work. No further details about tasks, requirements, or conditions are provided in the text.

QA Engineer Mobile Формат работы: офис в Ереване. Зарплата: от 1 600 до 2 400 USD. Компания: VB&Co. Полная занятость. Описание вакансии доступно по ссылке: https://telegra.ph/QA-Engineer-Mobile-09-13

Nebius is a powerful AI cloud infrastructure for developers to build, train, and deploy generative AI apps and ML models in a secure, high-performance environment. The position is on-site in Amsterdam, Netherlands, with a project duration of 3 months. Valid work authorization in the country of residence is required.

Location: EMEA; United States; Ireland; United Kingdom; Brazil; Canada; Mexico ✨ 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. Location: Fully remote. To create the best experience for you and to meet our business needs, this role requires you to be based within the EMEA or AMER regions. You’ll join Oyster as a Senior AI Solutions Engineer: Go-to-Market, reporting to the AI Director and partnering closely with GTM leadership. Your mandate goes beyond automating individual tasks. You’ll help make Sales, Marketing, Customer Success, Partnerships, and Revenue Operations AI native. This means rethinking how people work with AI, where agents can take on operational work, and where human judgement creates the most value to build a more effective AI enabled GTM organization. You’ll be part of a connected group of Senior AI Solutions Engineers transforming different departments across Oyster. Together, you’ll establish shared standards, reuse successful approaches, and ensure Oyster’s AI transformation is coordinated rather than siloed. This is a senior, hands on role. You’ll independently identify high value opportunities, decide where AI should and should not be used, and lead complex solutions from discovery through adoption and measurable business impact.   CORE RESPONSIBILITIES Make GTM AI native Reimagine how GTM teams work with AI. Move teams from manually operating tools and workflows toward humans orchestrating AI powered ways of working, with human judgement where it matters. Shape the AI roadmap Partner with GTM leaders to identify, prioritize, and frame high impact transformation opportunities. Lead solutions from start to finish Own complex initiatives from an ambiguous problem through design, build, deployment, adoption, and improvement. Build best in class AI agents and solutions Design, build, test, and continuously improve reliable AI agents, agentic workflows, automations, and integrations using LLMs, orchestration platforms, APIs, tools, and enterprise data sources. Apply sound judgement Balance value, feasibility, risk, data quality, maintainability, and human oversight. Recognize when AI is not the right solution. Drive AI adoption and self sufficiency Partner with GTM leaders, managers, and champions to embed AI into everyday work. Help teams move beyond consuming AI outputs toward confidently creating reusable prompts, workflows, and AI powered ways of working. Own solutions beyond launch Measure adoption, quality, reliability, and business impact after release. Continuously improve solutions based on real usage and outcomes rather than treating launch as completion. Connect the organization and raise capability Build trust with GTM leadership, share reusable patterns with AI Solutions Engineers supporting other departments, mentor colleagues, and help teams develop the skills and confidence to operate effectively in an AI enabled environment.   MINIMUM REQUIREMENTS - 3+ years of hands on AI and automation experience, supported by broader experience delivering complex solutions in GTM Engineering, Solutions Engineering, Revenue Operations, systems integration, or a related field. - A track record of redesigning workflows or operating models, rather than only automating isolated tasks. - Experience independently leading complex, cross functional initiatives from an ambiguous problem to measurable business impact. - Strong automation capability using tools such as n8n, Zapier, Make, or comparable orchestration technologies. - Strong hands on experience designing, building, deploying, and improving production AI agents and agentic workflows using LLMs, APIs, tools, and enterprise data. - Strong understanding of B2B GTM operations across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. - Experience integrating business systems through APIs, webhooks, and authentication mechanisms. - Strong judgement about where AI can create value, where processes need deeper redesign, and where automation should not be used. - Ability to influence functional leaders, challenge assumptions constructively, and align technical and nontechnical stakeholders. - A track record of mentoring others, sharing expertise, and raising standards across a team.   BONUS EXPERIENCE - Experience with Salesforce, HubSpot, Gong, Clay, or similar GTM platforms. - JavaScript, Python, or SQL experience. - Familiarity with RAG, MCP, AI evaluation, observability, governance, or security controls. 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: 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).

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).

Nebius — облачная платформа для работы с AI-моделями на базе процессоров NVIDIA, предоставляет вычислительные ресурсы, хранилища данных и другие сервисы. Вакансия Frontend Engineer (UI Infrastructure and Developer Tools, Early Talent) предполагает работу с технологиями TypeScript или Go, React, HTML, CSS, Git. Компания имеет команду из 200-500 человек и инвестиции в размере $1 млрд, включая средства от NVIDIA. CEO и ко-фаундер — Аркадий Волож, со-основатель и бывший CEO «Яндекса». Для отклика и получения подробной информации необходимо перейти по ссылке: https://careers.nebius.com/?gh_jid=4965819101.

Location: Australia ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Backend development experience in TypeScript or Python, with a focus on API design and service architecture - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Строить крупномасштабные конвейеры данных, обрабатывающие миллиарды событий ежедневно. — Проектировать и развивать платформу самообслуживания для хранилища данных и бизнес-аналитики для игровых команд. — Проектировать и развивать конвейеры машинного обучения для поддержки дата-сайентистов в создании новых моделей на основе игровых данных. — Применять практики непрерывной интеграции и доставки. — Оптимизировать тестирование, инструменты и качество данных. — Сотрудничать с инженерами данных, дата-сайентистами, бизнес-аналитиками, командами маркетинга и продуктовых команд. Требования: — Обучение или недавнее завершение обучения по специальности компьютерные науки, программная инженерия или смежные области. — Понимание принципов проектирования ПО, объектно-ориентированного программирования, паттернов проектирования, алгоритмов и структур данных. — Навыки программирования на Python, Java, C# или аналогичных языках. — Знание реляционных баз данных. — Интерес к построению конвейеров данных и работе с крупномасштабными данными. — Возможность работать в гибридном формате на территории Белграда, Сербия. Условия: — Оплачиваемая стажировка на полный рабочий день с гибкостью в связи с учебой. — Наставничество и поддержка от опытных разработчиков игр, помощь в развитии карьеры. — Коллаборативная среда, основанная на прозрачности, доверии и командной работе. — Обеды, закуски, напитки, доступ в спортзал, организованные спортивные мероприятия, эргономичные рабочие места и современное техническое оборудование. — Доступ к игровой комнате для детей, музыкальному уголку, настольным играм, видеоиграм и последним игровым консолям. — Возможность внести вклад в игры, которыми пользуются миллионы пользователей.