Вакансии

Задачи: — Разрабатывать и развивать основной сайт, продуктовые посадочные страницы и промо-спецпроекты. — Создавать интерактивные элементы: калькуляторы тарифов и комиссий, интерактивные схемы, формы и виджеты. — Проектировать и поддерживать архитектуру приложения с использованием возможностей SSR и SSG. — Верстать на чистом CSS и CSS Modules без использования Tailwind и SCSS. — Реализовывать плавные анимации и интерактивные эффекты с помощью Framer Motion. — Оптимизировать скорость загрузки и производительность страниц (Core Web Vitals, Lighthouse). — Взаимодействовать с продуктовым дизайнером и маркетинговой командой при проведении A/B тестов и сборе аналитики. Требования: — Коммерческий опыт разработки на React и TypeScript от 2–3 лет. — Глубокое понимание и обязательный опыт работы с Next.js: четкое понимание серверного рендеринга (SSR, SSG, ISR), работы Server Components, гидратации, маршрутизации и всех подводных камней, связанных с асинхронной загрузкой данных и SEO. — Отличные навыки верстки: глубокое знание чистого CSS и CSS Modules, Flexbox, Grid, CSS-переменных, адаптивности и кроссбраузерности (без Tailwind и препроцессоров). — Опыт работы с Framer Motion: умение делать не просто базовые эффекты при наведении, а сложные сценарии появления контента и анимации. — Знание Vite 8 и инфраструктуры сборки современным фронтенд-инструментарием. — Фокус на производительность: понимание того, как сделать так, чтобы анимации и интерактивные элементы не снижали скорость работы страницы на слабых устройствах. Будет плюсом: — Опыт работы над продуктовыми или маркетинговыми сайтами в сфере FinTech, Crypto, SaaS или E-commerce. — Опыт SEO-оптимизации с точки зрения фронтенда и опыта подключения систем аналитики. Условия: — Формат работы: полная удаленка и гибкий график. — Продукт: динамичный международный проект, минимум бюрократии и быстрая проверка гипотез. — Задачи: интересные визуальные и технические вызовы. — Доход: конкурентная заработная плата по результатам собеседования.

Workplace: remote Requirements AI Application Engineering: Strong experience delivering LLM-powered features to production rather than to prototype, covering tool use, multi-turn agent loops, structured output, and management of context, latency and cost Can ship agents as services with authentication, queues and persistent state Evaluation & Quality: Expertise building evaluation sets and regression suites that detect when a prompt or model change has degraded results with a clear metrics proving that Programming Languages: Proven expertise in Python Code Context & Retrieval: Strong experience getting relevant source code in front of a model through repository indexing and symbol or structural search, with the possibility to recognise where embeddings are not the right instrument Tooling & Integration: Experience with Model Context Protocol (MCP) or comparable tool-server design, including tool granularity and returning errors to the model in a form it can act on Safety & Guardrails: Solid understanding of permission boundaries, dry-run modes and human review gates for agents that modify repositories and drive physical devices Agent Observability: Familiarity with tracing agent runs, tracking token spend per feature Nice to have Cross-language Reading: Ability to read Java and C# well enough to reason about a JVM automation engine and the Unity clients it drives Test Automation Understanding: Solid understanding of what makes an automated test flaky (timing, ordering, state leakage, genuine product defects) and of why a passing test is not evidence that a defect was fixed Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, or with Unity Responsibilities Agent Architecture & Engineering: Develop and deploy production LLM-powered services in Python using multi-turn agent loops, structured outputs, and tool integration Tooling & Protocol Integration: Design robust tool-server integrations (MCP or similar) connecting AI agents with the underlying Java core framework and device infrastructure Code Context Retrieval: Build repository indexing and code search mechanisms to optimize context feeding for LLM models during test generation and execution Evaluation, Safety & Observability: Establish continuous evaluation suites, model regression detection, safety guardrails, token tracking, and agent run tracing We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Veronika hh@itransition.com

В компании Mareven Food Central открыта вакансия аудитора по информационной безопасности с опытом от 3 до 6 лет, расположенная в Москве. В обязанности входит работа с SIEM-системами, включая подключение источников данных, мониторинг и корреляцию событий безопасности, а также выявление подозрительной активности и участие в расследовании инцидентов. Кандидат будет заниматься сканированием активов на уязвимости, анализом результатов и контролем их устранения, проводить технические аудиты информационной безопасности и готовить рекомендации. Также требуется аудит безопасности Active Directory с выявлением опасных конфигураций, проверка защищённости настроек операционных систем, серверов и сетевой инфраструктуры. В задачи входит сопровождение внешних Pentest, анализ их результатов и контроль устранения выявленных недостатков, анализ событий IDS и участие в расследовании сетевых угроз, а также организация фишинговых симуляций и анализ их итогов. Требуется продвинутое знание Windows/Windows Server и Active Directory, уверенное владение Linux, SIEM и сканерами уязвимостей, опыт мониторинга и расследования инцидентов информационной безопасности, знание сетевых технологий, IDS/NIDS и принципов безопасной настройки инфраструктуры. Необходим опыт проведения технических аудитов и анализа защищённости Active Directory, понимание методологии Pentest и умение анализировать его результаты. Навыки работы с PowerShell обязательны, знание Python или Bash будет преимуществом. Важны умение готовить технические заключения и рекомендации, аналитическое и системное мышление, внимательность, самостоятельность, ответственность, а также способность аргументированно взаимодействовать с ИТ-командами и подрядчиками. Уровень заработной платы обсуждается на собеседовании.

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).

Location: United States (Remote); Seattle, Washington; San Francisco, California Workplace: Remote ROLE SUMMARY We’re looking for a Software Engineer II to join Temporal’s Cloud Enablement team and help build and improve the Temporal Proxy. This role will focus on implementing core proxy capabilities and helping consolidate multiple proxy implementations into a single, extensible, open-source, and productized solution used by both customers and Temporal Cloud infrastructure. Check out our code here https://github.com/temporalio/temporal-proxy! WHAT YOU'LL DO - Implement features in a proxy codebase, contributing production-quality code (primarily in Go or a comparable systems language). - Build and improve core components such as request handling, configuration, authentication/authorization integrations, and encryption-related hooks (as defined by the team’s design). - Add and maintain observability (logs, metrics, traces) and contribute to debugging issues in staging/production environments. - Write and maintain tests (unit/integration) to improve correctness, prevent regressions, and support safe iteration. - Collaborate with engineers across CGS, Security, Infra Foundations, and OSS Server to deliver scoped projects and land changes safely. - Contribute to developer experience through clear documentation, examples, and small improvements that make the proxy easier to adopt and operate. WHAT YOU'LL BRING - Proficiency in Go (preferred) or another systems language, with the ability to ramp quickly into an existing codebase. - Working knowledge of service-to-service communication and distributed systems basics (e.g., HTTP/gRPC, reliability fundamentals). - Familiarity with security fundamentals such as mTLS, JWT, and OIDC/OAuth concepts, and willingness to learn deeper patterns as needed. - Ability to take a scoped problem, implement a solution end-to-end (including testing and documentation), and communicate progress clearly. - A collaborative mindset and comfort working with teammates across functions to deliver shared outcomes. NICE TO HAVE - 3+ years of experience with proxy/gateway systems, cloud networking, service mesh concepts, or security-oriented infrastructure. - Experience with observability tooling and operational practices (on-call debugging, incident follow-ups, performance testing). - Contributions to open source (code or documentation). - Familiarity with Temporal concepts (or strong interest in learning the platform). Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

About garden3d: We are a worker owned creative collective innovating on brands, IRL communities, IoT devices, and cross platform apps. We share profit, open source everything, spin out new businesses, and invest in exciting ideas through financial and/or in-kind contributions. Our clients include Google, Stripe, Figma, Hinge, ACLU, Mozilla, The Nobel Prize, MIT, Etsy, and others. We operate a global decentralized community space collective called Index Space. About Sanctuary Computer: We build a technology shop prioritizing close collaboration between client and craftsperson, working on design-forward websites, robust web apps, and native mobile development. Who we’re looking for: Senior Shopify Developer with deep e-commerce expertise and modern frontend engineering skills. Responsibilities include: — Collaborate with Technical Leads and Designers to meet custom e-commerce and technical needs. — Build and maintain high-performance storefronts using custom Liquid (Online Store 2.0) and headless architectures (Shopify Storefront API, GraphQL, Hydrogen/Remix, Next.js). — Implement responsive, accessible, pixel-perfect interfaces based on design specs with attention to interaction details and motion design. — Integrate storefronts with headless CMS (Sanity, Contentful), payment gateways, subscriptions, search, and third-party e-commerce APIs. — Optimize e-commerce performance focusing on Core Web Vitals, asset delivery, bundle size, and runtime efficiency. — Architect scalable, reusable component libraries and design systems. — Write clear documentation for store management, custom app integrations, and codebase maintenance. — Participate in project rituals including Sprint Planning, standups, code reviews, and retrospectives. Candidate profile: Happy, relaxed, easy to get along with, flexible except on work quality, smart workflow management, prefers deep work but participates in strategic conversations. Interests in design, art, music, food, or fashion are a plus. Must-Have Competencies: — 8+ years writing highly performant frontend code with focus on 95+ Lighthouse scores and Core Web Vitals. — Deep Shopify ecosystem mastery: custom Shopify themes (Liquid, JSON templates, Online Store 2.0), headless storefronts using Shopify Storefront API (GraphQL), Hydrogen/Remix, Next.js. — Expert-level TypeScript and modern CSS (Tailwind CSS, CSS Modules), animation libraries (GSAP, Framer Motion). — Experience integrating Shopify with headless CMS (Sanity, Contentful, Prismic) and third-party services (Klaviyo, Recharge, Algolia/Searchspring, Stripe). — Fluency with PaaS platforms: Vercel, Netlify, Shopify Oxygen. — Experience with state management (Zustand, Redux, Pinia) and API integration for cart state, multi-currency, checkout flows. — Building accessible (WCAG compliant), responsive interfaces with SEO best practices, testing frameworks (Jest, Playwright, Cypress), maintainable code. — Knowledge of WebSockets, caching strategies (Redis, CDN-level/Cloudflare), advanced image delivery. Nice-to-Have Competencies: — Custom Shopify App development using Node.js, Remix, GraphQL Admin API, Shopify CLI. — Shopify Plus & Enterprise features: Shopify Functions, Checkout Branding API, Shopify Scripts, B2B configurations. — Tracking & Analytics: server-side tracking, GTM, Meta Pixel, Customer Privacy APIs. — WebGL, Canvas & 3D: Three.js or similar. — Full-stack & API design: PostgreSQL, REST/GraphQL API, OAuth, JWT. — Client-facing and management experience. Compensation: $40/hr to $120/hr depending on seniority and leadership experience. Projects typically at least 8 full-time weeks. Interview process: Intro call, panel interview, reference call, then offer. Work culture: Transparency with profit & loss sharing, carbon negative studio, strong morals rejecting non-aligned work, async and decentralized communication, remote friendly, building open source and internal products. Application instructions: Submit complete and thoughtful application with relevant links.

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 We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. Proven track record coordinating deployments across multiple stakeholders and vendors. Ability to read and interpret technical documentation, layouts, and wiring diagrams. Ability to perform deep diagnostics across hardware, firmware (BIOS/ BMC ), and Linux (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Familiarity with change management, asset tracking, and quality-assurance processes. Understanding of health, safety, and environmental standards in datacenter or industrial settings. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hyderabad, India 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 We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. As a Field Delivery Engineer, you will be leading the on-site delivery and deployment of hardware in new locations.You will plan, coordinate, and supervise activities from rack acceptance tests through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. Your responsibilities will include: Planning & Coordination Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare GPU servers for delivery to customers. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. On-Site Delivery & Installation Supervise racking, cabling, and powering of hardware equipment. Ensure configuration, firmware upgrades, and integration with management systems follow standards. Work closely with vendors, contractors, and local staff during the installation phase. Quality & Readiness Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. Collaboration & Reporting Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady-state management. Contribute feedback to improve hardware design and deployment playbooks. We expect you to have: 3+ years' experience in data center, hardware, or IT field delivery roles. Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). Strong hands-on experience working on datacenter floors with server hardware and Linux troubleshooting. Proven track record coordinating deployments across multiple stakeholders and vendors. Ability to read and interpret technical documentation, layouts, and wiring diagrams. Ability to perform deep diagnostics across hardware, firmware (BIOS/ BMC ), and Linux (logs, drivers, storage stack basics, performance triage). Excellent organizational, communication, and problem-solving skills. Willingness to travel frequently (sometimes at short notice). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, GPU and system logs correlation). Experience with Redfish and BMC tooling (ipmitool/Redfish), firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Familiarity with change management, asset tracking, and quality-assurance processes. Understanding of health, safety, and environmental standards in datacenter or industrial settings. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Bangkok, Thailand Workplace: hybrid David Kennedy Recruitment is working with a Forex/CFD broker whose entire business operates on the MT5 platform, seeking to onboard a Trading Platform Admin (MT5 Certified) to join their team. Position: Trading Platform Administrator Location: Bangkok, Thailand Work model: Hybrid Employment type: full time. RESPONSIBILITIES: Administer and maintain the full MT5 server stack, including Trade Server, Manager, Admin and Gateway, ensuring stability, security and high uptime Configure and maintain Symbols, Groups, Commission, Swap and Margin settings in line with business policies Manage plugins and bridges connecting MT5 with Liquidity Providers, CRM and payment systems Plan and execute server upgrades, patches, backups and disaster recovery procedures Monitor platform security and identify and prevent exploits, arbitrage abuse and latency arbitrage Work closely with the Dealing Desk, Risk and Compliance teams to align platform configuration with the business's risk appetite Act as the senior MT5 point of contact for both technical and business teams Document configuration standards, SOPs and incident reports Provide on-call support for after-hours platform issues REQUIREMENTS: 5+ years of experience administering MT5 servers, including Manager, Admin, Gateway and Bridge Fluent in English, both written and spoken MT5 Certification from MetaQuotes or equivalent Solid understanding of Forex/CFD broker mechanics, including spread, commission, swap, margin and leverage Working knowledge of Windows Server, networking and security fundamentals Strong communication skills with the ability to work effectively with both technical and business stakeholders Ability to troubleshoot effectively under pressure in an environment requiring continuous platform availability OFFER: Hybrid working model Salary based on experience Clear growth path towards leading the Platform/Infrastructure team Opportunity to take ownership of the core trading platform supporting the wider business And many more!

Location: Argentina; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Full Stack Engineer to join a fast-moving product team building a leading technology platform that powers complex transactions through intelligent, autonomous systems. You'll own features end to end — from API design through to UI — working across a modern TypeScript stack with GraphQL, React, and a strong emphasis on backend services and data layers. WHAT YOU'LL DO - Own features end to end, from design through to implementation and release. - Design, implement, and modify GraphQL APIs — schemas, queries, mutations, and resolvers — using Apollo Server. - Design and evolve backend services, including data access and caching layers. - Modify and extend database schemas as needed using ORMs and query builders. - Build user interfaces using React and TypeScript. - Write and maintain unit tests. - Modify and add end-to-end tests using Cypress. - Participate in sprint planning, reviews, and retrospectives within a 2-week sprint cadence. REQUIRED SKILLS & EXPERIENCE - Strong experience as a full stack engineer with a track record of owning features across the entire stack. - Fluency in TypeScript — frontend and backend. - Hands-on experience with React in a production environment. - Experience building and modifying GraphQL APIs using Apollo Server. - Experience working with Docker for local development and service packaging. - Familiarity with ORMs — Prisma, TypeORM, Objection.js, or similar — and query builders; experience with Knex is a plus. - Experience using Redis and common caching patterns. - Comfortable working across the full stack — frontend, backend, and data layers. PREFERRED QUALIFICATIONS - Experience with Next.js. - Familiarity with AI-assisted coding tools such as Claude, Gemini, or Codex. - Exposure to Kubernetes, Terraform, and Helm. - Experience working in fast-moving, agile product teams. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Data Scientist to join our growing Data team and serve as a strategic analytics partner across Render. As we scale, we're tackling increasingly complex questions across our product, customers, and business, from how developers discover and adopt Render, to what drives engagement and retention, to how we prioritize investments and identify new opportunities for growth. You'll partner with leaders and teams across Product, Growth, Go-to-Market, Finance, and other functions, focusing on some combination of data analytics, analytics engineering, machine learning, and experimentation based on your strengths, interests, and Render's highest-priority needs. You'll turn ambiguous questions into rigorous analysis, define how we measure success, and translate complex data into decisions and action. As a Senior/Staff-level individual contributor, you'll also help set the standard for analytics at Render, shaping our measurement frameworks, analytical practices, and how teams across the company use data to make better decisions. WHAT YOU’LL DO - Serve as a strategic analytics partner. Work closely with leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams to identify high-impact questions, frame decisions, and determine how success should be measured. - Define meaningful metrics and measurement frameworks. Develop the KPIs and frameworks teams use to understand performance across areas such as acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes. - Turn data into strategy. Surface patterns across our users, customers, products, and business. Identify opportunities, diagnose friction, and help teams determine where to invest and what to prioritize. - Shape our approach to experimentation and evaluation. Design and analyze experiments where appropriate, develop guardrail metrics and other methods for evaluating initiatives, and help teams choose the right analytical approach for the decision at hand. - Build measurement into how we work. Partner with teams to define instrumentation and measurement plans early, ensuring new products, programs, and initiatives can be evaluated reliably after launch. - Build trusted analytical foundations. Build and maintain dbt models, semantic and context layers in partnership with Analytics Engineering, transforming behavioral and business data into reliable datasets that support decision-making across Render. - Raise the bar for analytics. Establish analytical best practices, improve how teams use data in decision-making, and mentor scientists and cross-functional partners on measurement, experimentation, and data literacy. - Help shape the future of analytics at Render. Explore how AI-assisted tools can make analytics faster and more accessible while maintaining a high bar for accuracy, context, and analytical judgment. WHAT WE’RE LOOKING FOR - 7+ years of analytics experience, with a track record of shaping strategy and influencing decisions across complex or ambiguous problem spaces. - Strong business and product judgment. You can take an ambiguous question, identify what really needs to be understood, and determine the right analytical approach to inform a decision. - Experience defining and using metrics across some combination of Product, Growth, Go-to-Market, Finance, or other business domains, for example acquisition, activation, adoption, engagement, retention, conversion, expansion, or revenue. - Strong SQL skills. Writing complex, efficient SQL and independently exploring large datasets is a core part of how you work. - Experience using experimentation, statistical analysis, or other rigorous evaluation methods to understand impact, along with judgment about when each approach is appropriate. - Experience with modern analytics tooling such as Metabase, Mixpanel, dbt, BigQuery, Segment, and Git. - A track record of influencing cross-functional teams and senior leaders without direct authority. You're comfortable challenging assumptions, creating clarity from ambiguity, and driving alignment around what the data says. - Excellent communication skills. You can turn complex analysis into a clear narrative, explain technical concepts to non-technical audiences, and build the relationships necessary to drive action. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate analysis, data modeling, instrumentation, or visualization. NICE-TO-HAVES - Expertise in statistical methods beyond traditional A/B testing, such as causal inference, cohort and survival analysis, or time-series analysis. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. - Experience analyzing multi-product or multi-segment businesses and understanding behavior across interconnected customer journeys. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Philippines Workplace: Remote ABOUT THE ROLE The Compute & Infrastructure Accounting team supports accounting and financial reporting for OpenAI’s rapidly evolving cloud computing, data center, server, equipment, colocation, software and data, and other AI infrastructure arrangements. We’re seeking a hands-on Contract Accountant to support recurring close and day-to-day operational accounting for these costs. The contractor will translate contract terms, pricing, delivery, usage, invoices, and operational data into accurate accruals, true-ups, journal-entry support, reconciliations, and variance explanations. This role works closely with Compute & Infrastructure Accounting, Technical Accounting, Procurement, Strategic Finance, Data Engineering, and external vendors to resolve exceptions and keep accounting outputs timely, complete, and audit-ready. The contractor will use approved AI tools to reduce manual effort, strengthen analysis, improve documentation, and create scalable operating leverage. This role does not make final accounting conclusions or approve journals, payments, vendors, contracts, or access; it does not negotiate contracts or commit company funds. Success is measured by accurate and timely close deliverables, well-supported reconciliations, prompt exception resolution, dependable cross-functional communication, and adherence to established controls. RESPONSIBILITIES LEASE AND FIXED ASSET ACCOUNTING - Own assigned month-end and quarter-end lease-accounting activities, including journal entries, rollforwards, account reconciliations, balance-sheet substantiation, and flux or variance analysis. - Prepare complete, accurate, and reviewer-ready journal entries and supporting schedules for lease-related balances, including right-of-use assets, lease liabilities, rent expense, interest, amortization, remeasurements, and true-ups. - Perform reconciliations over lease accounts and subledger-to-general-ledger balances; investigate reconciling items, document conclusions, and drive timely resolution. - Perform fixed-asset accounting as assigned, including additions, transfers, placed-in-service assessments, depreciation, disposals, construction-in-progress activity, reconciliations, and period-end entries. CONTRACT REVIEW AND LEASE-SYSTEM ADMINISTRATION - Read and analyze large, complex lease contracts, amendments, renewals, extensions, and termination agreements to identify relevant accounting terms, payment streams, options, incentives, obligations, and effective dates. - Accurately enter new leases, modifications, remeasurements, and terminations into the lease-accounting system based on a complete understanding of the underlying contract. - Validate lease-system inputs and outputs against executed agreements, payment schedules, invoices, commencement evidence, and operational data; resolve completeness and accuracy exceptions. - Compile and validate information supporting quarterly and annual lease footnote disclosures, including maturity analyses, expense classifications, weighted-average metrics, cash-flow information, and required tie-outs. CONTROLS, AUDIT, AND ISSUE RESOLUTION - Follow U.S. GAAP, established lease-accounting and fixed-asset policies, standard operating procedures, close calendars, review requirements, and approval workflows. - Execute control procedures over lease populations, contract abstraction, system inputs, calculations, reconciliations, disclosures, and workpapers, including completeness and accuracy checks and evidence retention. - Respond to internal and external audit requests by assembling contracts, tie-outs, schedules, explanations, control evidence, and other supporting documentation. - Investigate accounting and control exceptions, document root causes and resolutions, track open items through completion, and escalate significant matters promptly. CROSS-FUNCTIONAL COORDINATION - Partner with Compute & Infrastructure Accounting, Technical Accounting, Finance Systems, Data, Engineering, and business teams to resolve contract, data, system, accounting, and operational issues. - Coordinate with Legal, Procurement, FP&A, Accounts Payable, Treasury, and other stakeholders to obtain executed agreements, validate facts, and support complete and timely lease accounting. - Communicate requirements, status, outstanding items, and accounting implications clearly to finance and non-finance stakeholders, and escalate judgmental matters with clear context and recommended next steps. PROCESS DISCIPLINE AND CONTINUOUS IMPROVEMENT - Identify recurring contract, data-quality, system, process, and control issues; surface trends and recommend scalable improvements. - Write clear business requirements, test lease-system or process changes, and validate downstream accounting outputs before operational use. - Improve recurring lease and fixed-asset workflows through standardization, documentation, automation, and tooling; maintain clear procedures and handoffs. - Use approved AI-enabled tools responsibly to support contract review, data validation, analysis, and documentation while following data-security and review requirements. - Help maintain consistent, controlled execution as the infrastructure portfolio, accounting requirements, systems, and workflows evolve. REQUIRED SKILLS AND EXPERIENCE - Progressive experience in accounting, audit, advisory, or a related finance function, including hands-on operational accounting and ownership of recurring close deliverables. - Strong month-end and quarter-end close experience involving journal entries, account reconciliations, rollforwards, variance analysis, and reviewer-ready workpaper preparation. - Strong working knowledge of U.S. GAAP and internal controls, with the judgment to identify and escalate matters requiring technical accounting review. - Demonstrated ability to read and interpret lengthy, complex contracts and translate legal and commercial terms into accurate accounting conclusions, system inputs, and supporting documentation. - Advanced spreadsheet and data-analysis skills, including the ability to work accurately with large datasets, and experience using an ERP or comparable finance system. - Experience operating with high attention to detail in a fast-paced, deadline-driven environment while managing multiple agreements, systems, and stakeholders. - Strong analytical, problem-solving, and organizational skills; sound judgment; and clear documentation habits. - Excellent written and verbal communication skills and the ability to partner effectively across accounting, finance, legal, systems, data, engineering, and business teams. PREFERRED - Hands-on lease-accounting experience under ASC 842, including contract abstraction, classification, measurement, modifications, reconciliations, and disclosure support. - Hands-on fixed-asset accounting experience, including additions, depreciation, disposals, transfers, construction in progress, and related reconciliations. - Experience with lease-accounting software and an ERP such as Oracle Fusion; CPA, CA, or an equivalent professional accounting qualification is a plus. - Experience preparing or reviewing cash flow statements, including cash flow classification and presentation for lease and fixed-asset activity. NICE-TO-HAVE - Experience in a technology, cloud-computing, data-center, colocation, equipment, or other infrastructure-intensive environment. - Familiarity with SQL, data-query tools, issue-tracking tools, or similar technical tools used to investigate data, system, and process issues. - Experience supporting SEC reporting, lease footnote disclosures, or public-company audit requirements in a high-growth or control-focused environment. - Experience with process automation, systems implementation, or workflow redesign, and collaborating across time zones with distributed teams and external service providers.

Location: Kansas City, Missouri, United States 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 As a Data Center Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations. You will work onsite in our Kansas City, Missouri data center location. Your responsibilities will include: Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms. Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor. Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements. Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation. Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations. Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures. Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks. Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule. Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician. Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems. We expect you to have: Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment. A solid understanding of data center operations, server architecture, and network equipment principles. Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics. Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling. Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports. A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence. Core Physical Requirements: Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations. Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids. Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways. Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure. Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations. Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions. Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces. It will be an added bonus if you have: Valid Driving License Project planning skills Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $30 — $42 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is seeking a Senior Database Engineer with focus in PostgreSQL and Oracle who will be responsible for implementation, support and maintenance of mission critical database environments.  The administration of these environments includes clustering, storage, securing, monitoring, performance tuning, troubleshooting, and disaster recovery.  This person will help manage and support current and future database and storage environments and initiatives, and proactively evaluate physical and logical design and architecture of the systems to keep up with the dynamic and growing business needs of DRW. Responsibilities: Proactively manage and optimize various database platforms and related OS environments Perform database performance and query tuning Implement and maintain production and non-production databases Perform database backups, restores, log shipping, mirroring and replication, etc. Work with system engineering team on database server installations, configurations, system performance tuning and capacity planning Collaborate with development teams on database design, implementation and usage optimization Respond to production and business-critical issues and needs Position Requirements: 5+ years of production PostgreSQL database engineering experience 5+ years of production Oracle database engineering experience desired Strong UNIX/Linux skills Experience with clustering, replication and mirroring a plus Strong knowledge of database performance tuning and configuration tools Strong technical problem-solving skills essential SAN knowledge a plus Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle pressure and stress Must be self-motivated, possess strong initiative, and be willing to take on new challenges Must demonstrate strong teamwork and collaboration skills Ability to learn new technologies quickly and adapt to different work environments Strong understanding of and the proven ability to comply with SDLC, source control and change management protocols Excellent verbal and written communication skills For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Erevan, Armenia; Canberra, Australia; Vienna, Austria; Brussells, Belgium; Sarajevo, Bosnia and Herzegovina; Sofia, Bulgaria; Zagreb, Croatia; Prague, Czechia; Berlin, Germany; Athens, Greece; Rome, Italy; Dublin, Ireland; Kishinev, Moldova, Republic of; Budva, Montenegro; Bucharest, Romania; Tbilisi, Georgia; Warsaw, Poland; Bratislava, Slovakia; Astana, Kazakhstan; Beograd, Serbia Workplace: remote Senior Full-Stack Engineer About the Role We are looking for Senior Full-Stack Engineer with strong experience across React/TypeScript frontend development and Node.js/TypeScript backend systems. This is a long-term, fully remote opportunity within a fast-moving fintech environment, working EST hours. The ideal candidate is proactive, asks thoughtful questions, and builds reliable, maintainable systems. The team actively uses AI coding tools such as Claude, so candidates must be comfortable using them and explaining their technical decisions. Responsibilities Build and maintain production-grade React, Node.js , and TypeScript applications. Develop backend services, APIs, integrations, and server-side validation. Manage PostgreSQL schemas, migrations, queries, indexes, and performance. Write unit, integration, and end-to-end tests. Design scalable systems using caching, queues, and background jobs. Improve legacy code and contribute to ongoing technical remediation. Collaborate with the team and clearly communicate technical decisions. 7+ years of professional software engineering experience. Strong, recent React, Node.js, and TypeScript experience. True full-stack expertise; primarily frontend candidates will not be considered. Hands-on PostgreSQL experience, including migrations and indexing. Production experience with AWS; ECS/Fargate, containers, S3, and CloudFront are preferred. Experience with system design, third-party integrations, and end-to-end testing. Comfortable using AI coding tools such as Claude. Strong English and Russian communication skills. Fintech or payments experience is preferred, including knowledge of ACH, reconciliation, compliance, and idempotency.

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