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Location: Israel 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 are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale. This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time. The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time. You’re welcome to work hybrid from Tel Aviv, Israel. Your responsibilities will include: Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback. Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria. Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions. Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions. Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality. Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions. Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria. We expect you to have: 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. It will be an added bonus if you have: Experience in search, information retrieval, NLP, or adjacent domains. Background in API-first or developer-platform businesses with both PLG and enterprise motions. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. People management or mentoring experience (building the skills of other PMs). 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: 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 We are looking for a hands-on Physical Security Systems Technician to support deployment, validation, and maintenance of physical security infrastructure across our sites throughout the United States. This role is based in New York,  and requires frequent travel to support installations, upgrades, testing, and operational activities at multiple locations nationwide. The ideal candidate combines strong physical security systems knowledge with practical IT infrastructure experience, including networking, Windows/Linux systems, storage platforms, and log analysis. They will ensure systems are properly deployed, validated, documented, and production-ready. Key Responsibilities Installation & Support Install, configure, and maintain CCTV systems (cameras, NVRs/DVRs, VMS) Support access control systems (badging, controllers, readers, permissions) Perform hardware replacements (cameras, readers, controllers, cabling components) Troubleshoot physical security system issues across network, hardware, operating system, and application layers Support Windows and Linux-based systems supporting physical security platforms Assist with storage systems used for video retention and evidence management Testing & Validation Execute system testing after installations and changes Develop and run Site Acceptance Testing (SAT) procedures for new deployments Validate system performance, coverage, failover scenarios, storage retention, and compliance with design requirements Identify, track, and help resolve issues found during testing Verify network connectivity, device health, and system integrations Documentation Produce and maintain accurate technical documentation (network diagrams, device inventories, configurations, system architecture) Create and maintain SAT reports, test cases, and validation checklists Document system changes, incidents, troubleshooting activities, and resolutions Ensure documentation is structured, standardized, and audit-ready Deployment & Operations Support system upgrades, migrations, and new site rollouts Work with vendors and integrators to ensure quality delivery Provide on-site and remote support across multiple locations throughout the United States Monitor and troubleshoot system logs to identify operational issues and root causes Ensure systems comply with internal standards and security requirements Required Qualifications 2+ years of hands-on experience with physical security systems (CCTV, access control) Experience installing and configuring cameras and access control hardware Experience with system testing, commissioning, SAT, or similar validation activities Ability to produce clear technical documentation and reports Solid IT infrastructure knowledge, including: Networking (TCP/IP, VLANs, routing basics, PoE, DNS, DHCP) Windows administration and troubleshooting Linux administration, services, logs, and basic troubleshooting Storage technologies and capacity management fundamentals Log analysis and troubleshooting using system and application logs Strong troubleshooting skills across hardware, software, operating systems, and networks Ability to work independently in remote locations with minimal supervision Valid driver’s license and ability to travel extensively throughout the United States Excellent communication and organizational skills Preferred Qualifications Experience with enterprise VMS platforms Familiarity with enterprise access control systems Experience in data center, critical infrastructure, or enterprise environments Knowledge of low-voltage cabling standards Exposure to structured testing methodologies (SAT, UAT, commissioning) Experience with monitoring, logging, and system health validation tools Familiarity with virtualization platforms and enterprise IT environments Key Traits Hands-on and execution-focused Detail-oriented and structured Strong sense of ownership for quality and completeness Clear and disciplined in documentation Strong analytical and troubleshooting mindset Comfortable working across multiple sites and environments Willing and able to travel extensively throughout the United States (up to 75%+ travel) 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 $85,900 — $107,300 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.

Задачи: — Писать код на Python (FastAPI / Django) для бэкенда. — Закрывать фронтенд-задачи на React / Vue / Next.js (админки, простые интерфейсы, интеграция с Telegram Mini Apps). — Проектировать архитектуру микросервисов под высокие нагрузки (десятки тысяч пользователей). — Работать с PostgreSQL, Redis, ClickHouse (оптимизация запросов, кэширование, аналитика). — Интегрировать AI-сервисы (OpenAI, ComfyUI, генерация видео, RAG, fine-tuning LoRA). — Руководить 2–4 разработчиками (full-stack, AI-промтологи, бэкенд). — Проводить код-ревью, менторить, помогать расти. — Участвовать в найме и онбординге новых разработчиков. — Отвечать за соблюдение дедлайнов и качества кода. — Настраивать и поддерживать пайплайны в GitHub Actions. — Управлять деплоем на сервера (Docker, Docker Swarm / K8s, Nginx / Traefik). — Обеспечивать uptime 99.9% и быстрое восстановление после инцидентов. Требования: — Python (FastAPI / Django) — уверенно, 4+ лет. — React или Vue / Next.js — базовый уровень (чтобы закрыть админку или поправить интерфейс). — PostgreSQL (оптимизация, индексы, репликация). — Redis (кэширование, сессии, очереди). — Docker, CI/CD (GitHub Actions). — Опыт с AI (OpenAI API, LangChain, RAG, работа с нейросетями). — Опыт разработки от 5 лет, из них минимум 1 год — Team Lead / Tech Lead. — Умеете и сами писать код, и управлять командой. — Понимаете, как строить масштабируемую архитектуру под highload. — Знаете, как оптимизировать БД и кэшировать данные (чтобы не ложилось при 10k RPS). — Работали с AI / LLM (не просто вызывали API, а встраивали в продукт). Будет плюсом: — ComfyUI, LoRA, ControlNet, генерация видео. — ClickHouse (аналитика, большие данные). — Kubernetes / Docker Swarm. — Опыт с Telegram Mini Apps. — Go (высоконагруженные микросервисы). Личные качества: — Скорость и прагматизм — не «идеальный код на месяц», а «работающее решение на сегодня». — Ответственность — за дедлайны, за стабильность, за команду. — Коммуникабельность — умеете объяснить разработчикам задачу, а заказчику — сроки. — Стартап-менталитет — готовность делать руками то, что нужно здесь и сейчас. Условия: — от 5000$ (фикс + бонусы за KPI). — Удалённо, полная занятость. — Возможность влиять на архитектуру и продукт с первых дней. — Минимум бюрократии, максимум скорости.

Location: Tel Aviv, Israel Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft - a platform where AI supports creativity instead of flattening it. We’re looking for experienced full-stack engineers to join the Figma Weave team. Whether you're enabling real-time collaboration for thousands of designers, building systems that make design tools robust, performant, and scalable, creating new ways for teams to design and share ideas seamlessly, or powering the features that drive product growth, your work will directly impact the experiences of our users - from startups to Fortune 500 companies. You’ll contribute to our core mission by designing and scaling reliable, secure, and intuitive systems across Figma Weave. Our teams are highly collaborative, work cross-functionally, and focus on building features that support our rapid growth, global expansion, and evolving product surface area. What you’ll do at Figma Weave: Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, and more Own key parts of the product that impact user experience, internal productivity, or revenue operations Collaborate with cross-functional partners in product, design, data science, support, and sales to shape product direction and solve complex problems Operate and monitor the systems you build, with a strong focus on reliability, security, performance, and user experience Contribute to team culture by mentoring peers, providing feedback, and helping foster a collaborative and inclusive engineering environment We’d Love to Hear From You If You Have: 5+ years of professional software engineering experience, with a track record of shipping and maintaining complex systems or products in production Full-stack experience with modern front-end frameworks (e.g., React/TypeScript) and back-end technologies (e.g., Ruby, Go, Node.js, PostgreSQL) Strong collaboration and communication skills, with experience working effectively across functions While it’s not required, it’s an added plus if you also have: Experience with Rust, WebAssembly, or graphics rendering technologies Prior work on extensibility platforms (plugins, APIs, widgets), or experience contributing to open source developer communities Passion for crafting excellent developer or user experiences, and an eye for elegant, maintainable architecture Enthusiasm for learning and teaching - whether mentoring teammates, leading initiatives, or sharing knowledge in code reviews or pairing sessions At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Amsterdam, Netherlands; Remote - Europe 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’re looking for a Site Reliability Engineer to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly. Your responsibilities will include: Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting) Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast We expect you to have: Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”) Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale) 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: Amsterdam, Netherlands; Remote - Europe 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: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). 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: Amsterdam, Netherlands 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 are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production #LI-ET3 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: Lisbon, Portugal About the Role As a Software Engineer on the Fund Accounting team, you'll have the opportunity to shape the platforms and systems that define how our operations run at scale. This is a full-stack, end-to-end engineering role where your contributions — from architecture decisions to shipped features — directly improve efficiency, automation, and accuracy across fund finance workflows used by industry-leading institutions. You'll partner closely with Product Management through the full software development lifecycle, from requirements gathering to delivery, building solutions that solve real, high-stakes problems in a domain where precision and scale both matter. On the technical side, you'll work primarily with Ruby on Rails on the backend and React on the frontend. We value strong engineering fundamentals — if you bring a solid technical foundation and the drive to build exceptional products, you'll have full support to ramp on our technologies through mentorship and hands-on experience. Familiarity with finance and accounting concepts is a plus. Over time, domain knowledge becomes a meaningful force multiplier when your work is directly automating complex financial processes at the heart of the alternative investments industry. Responsibilities: Backend feature development using Ruby (3.3.x) and Rails (8.x) Frontend application development using React and Redux Development of unit and integration tests using RSpec, Cucumber, and Capybara Building prototypes and proof-of-concepts (POCs) Active participation in recurring team meetings and ceremonies Participation in peer code reviews as part of our SDLC and change management processes Qualifications: Degree in Software Engineering or a related field is 6+ years of full-stack web application development 6+ years of development experience with React and Ruby on Experience with frameworks such as Python / Elixir, PHP / Laravel or similar may compensate for less direct Ruby on Rails experience. 6+ years of HTML and CSS development Strong understanding of relational database concepts, data modeling, normalization, and object-relational mapping (ORM). Passion for learning and adopting new Ability to work independently and collaboratively within a team environment. Strong problem-solving and analytical thinking Excellent communication Collaborative approach to software Proficiency in written and spoken English is required. Portuguese fluency is required for positions based in Portugal. Prior experience in the financial industry, including asset and wealth management, hedge funds, or investment banking, will be valued. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Amsterdam, Netherlands 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. About the Role We are seeking a Construction Project Manager to lead the delivery of mission-critical data center projects from preconstruction through commissioning and turnover. This is an owner-side role responsible for managing scope, schedule, budget, quality, and safety across ground-up builds, expansions, and fit-outs of critical facilities. You will be the primary point of accountability for general contractors, design teams, commissioning agents, and equipment vendors, ensuring facilities are delivered on an aggressive speed-to-market timeline without compromising reliability. What You'll Do Lead end-to-end project delivery for data center construction, owning cost, schedule, scope, quality, and safety from site selection support and preconstruction through Level 5 commissioning and operational handover. Manage general contractors, architects, MEP engineers, and specialty subcontractors, holding the project team accountable to contractual milestones and design intent. Drive coordination of mechanical, electrical, and plumbing systems — including utility power and substations, switchgear, UPS, generators, and air- and liquid-cooling infrastructure — recognizing that power and cooling drive the critical path. Develop and maintain integrated project schedules, identify critical-path risks early, and implement recovery plans to protect on-time, on-budget delivery. Manage project budgets, change orders, contingency, and forecasting; review pay applications and validate work in place. Own the commissioning process in partnership with the CxA, ensuring scripts, levels (L1–L5), and acceptance criteria are met before energization and turnover to operations. Enforce a strict safety culture, including the specific hazards of working in and around energized electrical environments and live critical facilities. Provide clear, regular reporting to leadership on schedule, budget, risk, and key decisions. Manage long-lead equipment procurement and vendor coordination, mitigating supply-chain risk on generators, switchgear, chillers, and cooling units. Support due diligence on site selection, including utility power availability, fiber, water, and constructability factors. What You'll Bring 7+ years of construction project management experience, with at least 3 years delivering data centers or comparable mission-critical / critical-environment facilities (hospitals, semiconductor fabs, pharma, or large-scale industrial). Direct working knowledge of data center MEP systems: power distribution, redundancy topologies (N+1, 2N), UPS, generators, and air and liquid cooling. Familiarity with the commissioning process and Uptime Institute Tier standards. Demonstrated ability to manage multimillion-dollar budgets and complex, schedule-driven projects with multiple stakeholders. Strong command of project controls, scheduling software (P6 or MS Project), and construction management platforms (Procore or similar). Excellent contractor and vendor management skills, with the ability to hold teams accountable while maintaining productive relationships. Bachelor's degree in Construction Management, Engineering, Architecture, or a related field — or equivalent field experience. Willingness to travel to and be on-site at project locations as required. Nice to Have Experience delivering for hyperscale or colocation clients. Exposure to liquid-cooling deployments and high-density rack environments. PMP, CCM, or relevant OSHA certifications. Experience managing projects in greenfield or speculative-build environments. Why This Role Matters The work you deliver is the physical backbone of cloud and AI infrastructure. These facilities have to be built fast, built right, and run without interruption — and the project manager is the single person who makes all of that come together. 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: Amsterdam, Netherlands 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. Role We are seeking a highly organized and detail-oriented People Systems Project Manager with strong experience in HR systems, HR operations, and process optimization. This role will support the growth and scalability of the People function by leading HR systems implementations, integrations, and workflow improvements. The ideal candidate combines HRIS expertise with operational HR knowledge and understands how technology capabilities align with real-world People processes. Experience within HR Operations, HRBP functions, or People Systems is highly valued. Reporting Line This role reports directly to the Head of Projects and Programs (Enterprise Technologies), with a dotted-line reporting relationship to the Head of People Systems. The People Systems team owns the strategy and governance for core HR platforms, while this role is responsible for project execution, delivery, and driving scalable process improvements in partnership with HR stakeholders. Key Responsibilities: Lead HR systems and process improvement projects from planning through rollout Partner with People Operations, HRBPs, and Operations teams to optimize workflows and system usage Translate HR business requirements into scalable system solutions and process documentation Drive implementation and optimization of HRIS workflows, automations, and integrations Use project management tools (e.g., Jira) to manage timelines, priorities, and reporting Identify opportunities for process simplification, automation, and standardization Ensure data accuracy, governance, and compliance across People systems Manage stakeholder communication, expectations, and adoption across projects Required Qualifications: Strong experience with HRIS platforms and People systems Background in HR Operations, HRBP, People Systems, or related functions Experience managing HR systems implementations or transformation projects Strong understanding of employee lifecycle processes and HR workflows Ability to balance business needs with system capabilities and scalability Excellent project management, organizational, and stakeholder management skills Nice to Have: Experience with platforms such as Workday, HiBob, BambooHR, or SuccessFactors Familiarity with Jira or similar project management tools Experience with workflow automation and process optimization initiatives PMP, Scrum Master, or HRIS-related certifications 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: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote - 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 We are looking for an Embedded Software Developer to design and implement the firmware and low-level software that powers our next-generation GPU and HPC platforms. This role will focus on embedded control, board management, telemetry, and hardware-firmware integration, ensuring that our systems operate reliably in high-density, mission-critical environments. Key Responsibilities • Design and implement embedded firmware for server management, telemetry, and control systems. • Maintain and enhance our custom OpenBMC firmware with new features and improvements • Enable real-time monitoring of power, thermal sensors, and hardware health. • Work closely with hardware engineers to validate firmware for existing and future platforms • Debug and optimize low-level drivers and protocols. • Contribute to long-term firmware architecture for GPU cluster reliability. Required Skills & Qualifications: • 5+ years in embedded systems or firmware development. • Proficiency in embedded Linux. • Hands-on experience with BMCs, microcontrollers, or SoC firmware. • Understanding of hardware bring-up and debugging • Languages: C, C++, Bash, Go, YAML • Firmware: OpenBMC, U-Boot, Linux Kernel • Interfaces: I2C, I3C, SPI, eSPI, UART, LPC • Protocols: SMBus, PCIe, PMBus, PECI • Build Systems: Meson, CMake • Descriptors & Formats: FRU, SMBIOS, ACPI, DMI Preferred: • Knowledge of the Yocto Project principles • Knowledge of systems and D-Bus principles • Proficiency in C++ • Good knowledge of C, sufficient for periodic work with Linux drivers and the U-Boot bootloader; • Experience in developing Linux drivers of any kind, especially those implementing sysfs and hwmon interfaces. • Experience with server BMC firmware IPMI, IPMB, KCS, SSIF, Redfish, PLDM • Knowledge of GPU/CPU telemetry frameworks (e.g., NVML, DCGM) • Exposure to firmware security (Secure Boot, signed firmware) • Experience with RAS (Reliability, Availability, Serviceability) • Background in high-performance computing or data center hardware. 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 $179,500 — $269,200 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: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. IN THIS ROLE YOU WILL Master the Sentry Ecosystem & Support Elite Developers - Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. - Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. - Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. - Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes. Engineer Agentic Operations (The Scaling Engine) - Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions. - Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely. - Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously. - The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine." YOU’LL LOVE THIS JOB IF - You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort. - You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon - You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next. - You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem. QUALIFICATIONS - 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems. - Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories. - Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database. - AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention. - Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI. BONUS QUALIFICATIONS - Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries. - Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. What You’ll Be Doing Build and maintain the core infrastructure of the AIOps platform, including the unified monitoring & alerting system and the FinOps cost observability platform. Maintain and continuously optimize internal R&D infrastructure (GitLab, Nexus, Sonar, etc.). Manage monitoring data collection, alert governance, and cost data visualization across multi-cloud environments (Alibaba Cloud / AWS). Support cloud security operations, including cloud security alert management and compliance auditing. What We Look For In You 3+ years of DevOps or SRE experience; experience with AIOps or observability platform development is a plus. Proficient in Python; familiar with at least one of Go or Java. Full-stack capability (React/Vue frontend + backend API) is a plus. Hands-on experience with at least one major cloud platform (Alibaba Cloud or AWS); familiar with cloud monitoring products (CloudWatch / Alibaba Cloud CloudMonitor) and cost management tools. Familiar with monitoring and logging stacks such as Prometheus, Grafana, and ELK. Experience maintaining and optimizing CI/CD toolchains (GitLab CI, Nexus, container registries). Experience with AI/LLM application development (e.g., LLM API integration, RAG, Agent frameworks) is a plus. Good written and verbal English communication skills. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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

Location: 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. Site Selection Manager 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, the Americas and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Secure AI infrastructure before the market does. Demand for AI infrastructure continues to outpace supply. You'll identify and secure strategic opportunities before they become unavailable while balancing speed, scale, risk, and long-term flexibility. Expand the Nebius AI Cloud across the Americas. You'll evaluate emerging markets, develop regional acquisition strategies, and help shape where Nebius invests next as we scale across multiple geographies simultaneously. Structure transactions that accelerate deployment. You'll negotiate colocation agreements, build-to-suit developments, powered land acquisitions, and other infrastructure partnerships that enable AI capacity to come online faster. About the Role As a Site Selection Manager, you'll lead the acquisition of AI infrastructure opportunities across the Americas from market strategy through executed agreements. Working within the Infrastructure Acquisition Group, you'll identify new opportunities, negotiate complex transactions, and partner across Engineering, Energy, Finance, Legal, Technical Due Diligence, Project Development, and Delivery to bring new AI infrastructure online. This is a build-phase role on a build-phase team. Many of the standards, playbooks, and processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex transactions while helping build the systems that make every future deal faster, more consistent, and more scalable. What You'll Own Own the acquisition of AI infrastructure opportunities across the Americas, from market strategy through executed agreements. Develop regional acquisition strategies and maintain a continuous pipeline of qualified colocation, build-to-suit, and powered land opportunities. Lead negotiations across multiple commercial structures, from initial engagement through signed agreements. Serve as transaction owner, leading cross-functional deal teams to keep parallel workstreams aligned and on schedule. Prepare investment recommendations and present commercial, financial, and strategic analyses to executive leadership. Infrastructure Origination Develop acquisition strategies for priority markets across the Americas. Identify, evaluate, and advance colocation, build-to-suit, powered land, and other strategic infrastructure opportunities. Build and maintain relationships with developers, brokers, utilities, landowners, economic development agencies, and infrastructure partners. Assess network connectivity as a core site-selection criterion — long-haul access, carrier availability, and route diversity — engaging the Network team for technical validation. Lead negotiations from initial engagement through executed agreements across multiple commercial structures. Market Strategy Develop market intelligence across power availability, utility constraints, network connectivity and fiber availability (proximity to long-haul routes, carrier and dark-fiber presence, and route diversity), permitting environments, land availability, incentives, and competitive market activity. Identify emerging AI infrastructure markets and recommend long-term acquisition strategies. Build and maintain a continuous pipeline of qualified infrastructure opportunities aligned with Nebius' growth objectives. Monitor regional market trends to support long-term infrastructure planning. Transaction Leadership Serve as the transaction owner from opportunity identification through executed agreements. Lead cross-functional transaction teams across Legal, Finance, Energy, Engineering, Network, Technical Due Diligence, Project Development, and Delivery. Drive transaction schedules, resolve commercial issues, and maintain momentum across multiple parallel workstreams. Structure commercial solutions that balance speed, flexibility, risk, and long-term value. Cross-Functional Collaboration Partner with the Technical Due Diligence team to complete technical evaluations and assess development risk. Partner with the Network team to validate connectivity feasibility and factor long-haul, dark fiber, and points-of-presence considerations into site and market selection. Partner with the Project Development team to transition projects into development and construction readiness. Collaborate with Finance on commercial modeling, investment analysis, and executive approval packages. Work with Legal to negotiate agreements that appropriately allocate commercial and development risk. What Success Looks Like Build a strong pipeline of qualified AI infrastructure opportunities across the Americas. Execute infrastructure transactions that accelerate Nebius' expansion into strategic markets. Develop trusted relationships with developers, utilities, brokers, and strategic infrastructure partners. Deliver acquisition recommendations that balance speed, cost, scale, flexibility, and long-term strategic value. Develop regional market strategies that create a repeatable pipeline of future infrastructure opportunities. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to move complex transactions forward while helping define how future transactions should be executed. 8+ years of experience in data center site selection, commercial real estate, infrastructure development, or large-scale industrial development. Experience leading infrastructure or real estate transactions from opportunity identification through contract execution. Strong understanding of data center infrastructure, utility markets, land development, and commercial negotiations. Experience negotiating land acquisitions, leases, colocation agreements, build-to-suit transactions, or similar infrastructure agreements. Strong commercial judgment and the ability to balance technical, financial, and strategic considerations. Excellent communication and executive presentation skills. Demonstrated ability to lead complex cross-functional initiatives across multiple stakeholders. Bachelor's degree in Business, Finance, Real Estate, Engineering, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale, AI infrastructure, digital infrastructure, or mission-critical development. Knowledge of utility infrastructure, transmission, substations, renewable energy development, or power markets. Familiarity with the connectivity drivers of data center site selection (power, fiber and network availability, route diversity) and the ability to partner effectively with network engineering teams. Experience with GIS platforms, infrastructure market intelligence, or portfolio planning. Familiarity with data center development, permitting, or infrastructure delivery. 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 $170,000 — $225,000 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: Amsterdam, Netherlands; Germany; United Kingdom 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're looking for a Senior Software Engineer to help us build the best Managed PostgreSQL for AI workloads. The service is already in production; the mission now is to make it the obvious choice for teams running AI applications on Postgres — first-class vector search, painless migrations from RDS / Cloud SQL / self-managed clusters, and the operational quality of a mature managed database. You'll work across the stack: control plane and lifecycle automation in Go, Postgres internals and performance, migration tooling, and the customer escalations where it actually matters. You're welcome to work from our offices in Amsterdam or London, hybrid or remotely from EU timezones. Your responsibilities : Develop the control plane and lifecycle automation for Managed PostgreSQL — provisioning, HA, failover, backups, PITR, version upgrades, zero-downtime maintenance. Tune and harden PostgreSQL itself — replication, WAL, vacuum, query planner, connection pooling, extensions — and turn that into product features and sane defaults customers don't have to think about. Build migration tooling that gets customers off AWS RDS, Google Cloud SQL, Azure Database for PostgreSQL, and self-managed clusters with minimal downtime. Drive the AI-Postgres story end to end — vector search (pgvector, pgvectorscale), hybrid retrieval, integration with the wider Nebius AI Cloud stack. Run the service like an SRE — define SLOs, build observability, lead incident response, feed every postmortem back into the platform. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Must-haves : 5+ years of professional software engineering experience, with significant time spent building or operating production PostgreSQL at scale (TB+ datasets, replication topologies, real failure modes you've debugged in production). Strong software engineering skills in Go or another backend/systems language, with a willingness to work primarily in Go. Deep knowledge of PostgreSQL internals: MVCC, WAL, replication (physical and logical), vacuum, query planning, extensions, partitioning. Hands-on experience with the surrounding ecosystem: Patroni / Stolon / pg_auto_failover, pgBackRest / WAL-G, pgBouncer / PgCat, logical replication tooling. The instincts of an ex-DBA — you can read EXPLAIN ANALYZE fluently, reason about lock behaviour, and know how to handle database corruptions. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. Nice - to - have s : Experience with pgvector and pgvectorscale — vector search at scale, index choice, recall vs. latency trade-offs. Background building managed-database control planes at a cloud provider (RDS, Cloud SQL, Aiven, Crunchy, Timescale, Supabase, Neon, or similar). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to PostgreSQL itself, popular extensions, or the surrounding OSS ecosystem. AI/ML workload experience — RAG pipelines, embedding stores, GPU-resident workloads. We conduct coding interviews as part of the process. 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.