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Location: Lappeenranta, Finland 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 seeking a skilled and motivated Data Center Electrical Lead to support the operation and maintenance of critical infrastructure within a mission-critical data center environment in Lappeenranta, Finland. The successful candidate will have a strong electrical background and experience working with power distribution systems, industrial maintenance, or critical facilities operations. This role is responsible for ensuring maximum uptime, reliability, and safety of data center electrical and mechanical systems while supporting 24/7 operations. Key Responsibilities Critical Infrastructure Operations Operate and maintain critical electrical systems including: UPS systems Medium- and low-voltage switchgear Transformers Backup generators ATS/STS equipment Battery systems Power distribution units (PDUs) Monitor facility systems using BMS/EPMS platforms. Perform routine inspections and operational checks of critical infrastructure. Maintenance & Troubleshooting Perform preventive and corrective maintenance on electrical and mechanical systems. Diagnose and troubleshoot equipment failures and alarms. Support emergency response and incident recovery activities. Coordinate with vendors and contractors during maintenance activities. Safety & Compliance Follow Finnish electrical safety regulations and company safety procedures. Support lockout/tagout (LOTO) procedures and safe switching operations. Maintain compliance with SFS 6002, occupational safety requirements, and site policies. Ensure all maintenance activities are properly documented. Operational Support Participate in 24/7 shift operations, including nights and weekends. Maintain accurate logs, reports, and maintenance records. Assist with commissioning and testing of new equipment and infrastructure upgrades. Support continuous improvement initiatives for operational efficiency and reliability. Qualifications Required Vocational qualification, diploma, or degree in: Electrical Engineering Industrial Maintenance Automation Technology Power Systems Experience working with electrical infrastructure or industrial systems. Knowledge of: Power distribution systems Electrical troubleshooting Preventive maintenance practices Ability to read electrical schematics and single-line diagrams. Good English communication skills. Preferred Data center or mission-critical facility experience. SFS 6002 Electrical Safety certification. Experience with medium-voltage systems. Knowledge of HVAC/cooling infrastructure. Experience using CMMS, BMS, or EPMS systems. Finnish language skills are an advantage. 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: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Harlow, 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. Please note that this is a shift work (day & night shift). The role As an IT Datacenter Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations. You’re welcome to work at our data center. Your responsibilities will include: Monitor and support the IT infrastructure as a shift worker (day & night shifts). Diagnose and resolve issues related to server and network hardware within the data center. Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements. Manage and maintain fiber optic and patch cable connectivity. Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation. Collaborate with internal teams to resolve technical and operational issues. Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance. Requirements: Solid understanding of server and networking equipment. Practical, hands-on experience with server hardware, network switches, and fiber optic cabling. Proven ability to diagnose and resolve hardware-related issues. A proactive, responsible, and results-driven work attitude. It will be an added bonus if you have: Valid Category B driving license. Basic knowledge of the Linux operating system and familiarity with command-line tools. 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: Lappeenranta, Finland 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 seeking a skilled and motivated Data Center Operations Technician to support the operation and maintenance of critical infrastructure within a mission-critical data center environment in Lappeenranta, Finland. The successful candidate will have a strong electrical background and experience working with power distribution systems, industrial maintenance, or critical facilities operations. This role is responsible for ensuring maximum uptime, reliability, and safety of data center electrical and mechanical systems while supporting 24/7 operations. Key Responsibilities Critical Infrastructure Operations Operate and maintain critical electrical systems including: UPS systems Medium- and low-voltage switchgear Transformers Backup generators ATS/STS equipment Battery systems Power distribution units (PDUs) Monitor facility systems using BMS/EPMS platforms. Perform routine inspections and operational checks of critical infrastructure. Maintenance & Troubleshooting Perform preventive and corrective maintenance on electrical and mechanical systems. Diagnose and troubleshoot equipment failures and alarms. Support emergency response and incident recovery activities. Coordinate with vendors and contractors during maintenance activities. Safety & Compliance Follow Finnish electrical safety regulations and company safety procedures. Support lockout/tagout (LOTO) procedures and safe switching operations. Maintain compliance with SFS 6002, occupational safety requirements, and site policies. Ensure all maintenance activities are properly documented. Operational Support Participate in 24/7 shift operations, including nights and weekends. Maintain accurate logs, reports, and maintenance records. Assist with commissioning and testing of new equipment and infrastructure upgrades. Support continuous improvement initiatives for operational efficiency and reliability. Qualifications Required Vocational qualification, diploma, or degree in: Electrical Engineering Industrial Maintenance Automation Technology Power Systems Experience working with electrical infrastructure or industrial systems. Knowledge of: Power distribution systems Electrical troubleshooting Preventive maintenance practices Ability to read electrical schematics and single-line diagrams. Good English communication skills. Preferred Data center or mission-critical facility experience. SFS 6002 Electrical Safety certification. Experience with medium-voltage systems. Knowledge of HVAC/cooling infrastructure. Experience using CMMS, BMS, or EPMS systems. Finnish language skills are an advantage. 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: 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. Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house hardware R&D team. The team You will join a small, highly focused frontend engineering team responsible for building internal interfaces that power Nebius’s GPU cloud and data center operations. The team develops tools that automate infrastructure deployment, server operations, network management, and logistics workflows across global data center environments. This role is part of the wider infrastructure and operations organization and works closely with engineering teams responsible for cloud infrastructure, deployment automation, and production operations. The role We are seeking a Senior Frontend Engineer  to design and build internal platforms that support automation and operational management across Nebius data centers and GPU cloud infrastructure. This is a highly autonomous role focused on developing reliable, scalable user interfaces for infrastructure-heavy environments. You will work across systems related to server operations, network management, logistics, and deployment workflows while partnering closely with infrastructure and operations teams. Your responsibilities will include: Designing and developing internal web applications that automate data center and infrastructure operations. Building user interfaces that support server management, network operations, deployment workflows, and logistics processes. Collaborating with infrastructure, operations, and platform engineering teams to translate operational requirements into scalable frontend solutions. Improving reliability, usability, and operational efficiency across internal tooling platforms. Working closely with European-based frontend engineers to align on architecture, standards, and development practices. Supporting deployment and operational workflows across GPU cloud infrastructure environments. Contributing to frontend architecture decisions, component design, and long-term maintainability of internal systems. Participating in code reviews, technical discussions, and continuous improvement initiatives across the engineering organization. We expect you to have: Strong experience with JavaScript and/or TypeScript. Hands-on experience building modern frontend applications using React. Experience working with Docker and containerized development environments. Strong Linux knowledge and command-line proficiency. Experience supporting, deploying, or troubleshooting applications in production infrastructure environments. Strong problem-solving skills with the ability to operate independently in high-responsibility environments. Ability to collaborate effectively across distributed teams and time zones. A proactive, ownership-driven mindset with strong communication skills. Nice to have: Experience with frontend state management libraries and patterns. Background working in infrastructure, cloud, or data center environments. Familiarity with deployment automation or operational tooling. Experience building internal developer or operations-focused platforms. 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 $122,880 — $184,320 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: Milan Workplace: Hybrid Your opportunity: Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. As a hands-on Engineering Manager, you'll lead a team of skilled engineers in defining and delivering the technical roadmap for our products. Collaborating with cross-functional teams, you'll help shape product strategy and direction, while representing engineering in key technical discussions. Your work will directly influence product quality, scalability, and innovation, playing a critical role in our overall success. What you'll be doing: - Lead a growing team of application engineers, with a hands-on leadership approach expected from all engineering managers - Bring strong technical expertise and a proven track record in large-scale distributed systems and/or guiding teams through complex technical transitions - Drive strategic technical decisions in collaboration with cross-functional teams, and lead cross-domain technical initiatives that align with overall business and product goals - Identify improvements within the team, propose actionable solutions, and coordinate efforts to improve team velocity and effectiveness - Help shape the broader domain vision, influence strategic direction, and set goals for ongoing product improvement - Balance hands-on engineering with big picture thinking, taking pride in mentoring and developing high performing teams - Maintain a results driven mindset focused on delivering impact at scale and speed What you have: - Management Experience: Preferably 2+ years of managing multidisciplinary teams, with a proven ability to recruit, retain, and grow top engineering talent. - Leadership Skills: Demonstrated ability to lead, coach, and mentor engineering teams. Excellent communication, interpersonal, and collaboration skills. You are a great active listener. - Engineering Excellence: Significant hands-on experience in various contexts, building scalable, robust, and fault-tolerant systems and full-stack products, preferably on the JVM or PHP stacks. - Product Sense: A strong understanding of product development principles and a customer-centric approach. - Bias Towards Action: Balance speed and quality, make quick decisions, and learn from mistakes. - Problem-Solving Ability: Strong analytical and problem-solving skills, with a passion for finding creative solutions to complex challenges. - Passion and Energy: Demonstrate ownership and enthusiasm, seeing new tasks as opportunities to contribute and grow. - Always Be Shipping Mindset: It’s about consistently delivering value to customers, where speed and quality go hand in hand. *Kindly note relocation support is not offered for this position unfortunately.

О ПРОЕКТЕ Команда занимается развитием внутренней AI/ML-платформы, AutoML, разработкой LLM/NLP-решений, мониторингом качества моделей на крупном финтех-проекте. ПРЕДСТОЯЩИЕ ЗАДАЧИ • Разработка и развитие ML/LLM-сценариев для production; • Работа с AutoML, NLP и RAG-пайплайнами; • Оптимизация качества и стабильности ML-решений; • Интеграция с MLOps/DE-инфраструктурой; • Быстрое прототипирование и проектирование AI-решений. ОЖИДАНИЯ ОТ КАНДИДАТА • 3+ лет опыта в DS/ML; • Хороший Python и уверенный ML-стек (Sklearn, CatBoost/LightGBM/XGBoost, Pandas, NumPy), опыт с табличными данными; • Опыт с LLM/NLP (для проекта в данном направлении); • Опыт работы с Spark/Hadoop/Hive; • Понимание production ML-процессов. БУДЕТ ПЛЮСОМ • PyTorch / DL; • Open-source contribution; • Full-stack опыт. УСЛОВИЯ РАБОТЫ • Оформление по ТК или ИП в аккредитованную ИТ-компанию; • Сильная инженерная команда и обмен экспертизой; • Гибридный или удаленный формат работы (РФ!); • ДМС со стоматологией с 1-го дня; • Предоставление техники (на выбор, по запросу).

Location: Lappeenranta, Finland 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 The Data Center Chief Power Engineer is responsible for the operation, maintenance, reliability, and optimization of all electrical power infrastructure within a hyperscale or mission-critical data center environment in Lappeenranta, Finland. This role leads electrical engineering strategy, ensures continuous uptime, manages high-voltage and low-voltage systems, and oversees compliance, safety, and emergency response activities in accordance with Finnish and European regulations. The Chief Power Engineer works closely with facilities teams, operations, construction, commissioning, utility providers, vendors, and executive leadership to ensure reliable delivery of power to critical IT loads while supporting sustainability and energy-efficiency goals aligned with Nordic data center operations. Key Responsibilities Power Infrastructure Operations Oversee operation and maintenance of: Utility service entrances Medium-voltage and low-voltage switchgear UPS systems Generators and paralleling gear PDUs and RPPs Busways and power distribution systems Battery systems (VRLA and Li-ion) Grounding and bonding systems SCADA, BMS, and EPMS platforms Ensure continuous uptime and redundancy performance (N+1, 2N, or higher). Lead electrical switching procedures, outage planning, and emergency response activities. Review, approve, and maintain electrical SOPs, MOPs, and EOPs. Coordinate with local utility providers and transmission operators in Finland. Reliability & Risk Management Develop preventive and predictive maintenance programs for mission-critical electrical systems. Conduct root cause analysis (RCA) for electrical and power-related incidents. Lead failure investigations and corrective action programs. Monitor electrical system performance, capacity utilization, and load trends. Manage arc flash, electrical safety, and lockout/tagout (LOTO) programs. Ensure compliance with: Finnish electrical safety regulations SFS electrical standards IEC and IEEE standards EU energy and environmental regulations OSHA-equivalent safety practices and internal corporate safety requirements Engineering & Design Oversight Review electrical designs for expansions, retrofits, and new deployments. Support commissioning, integrated systems testing (IST), and acceptance testing. Coordinate with consultants, contractors, OEMs, and utility providers. Support capacity planning and long-term infrastructure strategy. Evaluate resiliency improvements and modernization initiatives. Participate in design reviews for high-voltage systems typically ranging from 10kV–36kV. Leadership & Team Management Lead and mentor power engineers, technicians, and critical facilities operators. Coordinate contractor and vendor activities to ensure safe and compliant work execution. Provide technical escalation support during critical incidents and infrastructure events. Participate in a 24/7 on-call rotation supporting mission-critical operations. Promote a strong culture of operational excellence, safety, and continuous improvement. Energy & Sustainability Optimize Power Usage Effectiveness (PUE). Support sustainability and energy-efficiency initiatives aligned with Nordic and EU environmental goals. Analyze electrical load growth and future capacity requirements. Evaluate renewable energy integration, energy storage solutions, and backup power strategies. Collaborate with sustainability teams on carbon reduction and energy optimization initiatives. Required Qualifications Education Bachelor’s or Master’s degree in: Electrical Engineering Power Engineering Energy Systems Engineering Related technical field Experience 8–15+ years of experience in: Data center facilities engineering Mission-critical operations Industrial or utility-scale power systems High-availability electrical infrastructure Experience with Tier III or Tier IV environments preferred. Experience managing medium- and high-voltage systems (typically 10kV–36kV). Experience working within European or Nordic regulatory environments is highly preferred. Technical Skills Strong knowledge of: Power distribution systems Protective relaying and coordination Generator synchronization and controls UPS topologies SCADA/BMS/EPMS systems Load flow and coordination studies Electrical testing and commissioning Arc flash analysis and mitigation Mission-critical infrastructure reliability practices Familiarity with cold-climate operations and energy-efficient cooling strategies is advantageous. Certifications (Preferred) Professional Engineer (PE) or European equivalent Certified Data Centre Professional (CDCP) Data Center Certified Associate/Professional (DCCA/DCCP) NFPA 70E or equivalent electrical safety certification OSHA 30 or equivalent industrial safety training Licensed High Voltage Switching Operator (where applicable in Finland/EU) 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 highly organized, proactive and discreet Team Assistant to join the CIO Office and support the CIO and leaders within the Enterprise Technologies organization. This role combines executive support, team coordination and operational administration to help the team run smoothly and efficiently. The right person will be able to manage calendars and logistics with a high degree of confidentiality and sound judgment, while also supporting travel coordination, events, team processes, and day-to-day Enterprise Technologies operations. This role will work closely with internal business partners and cross-functional stakeholders to help ensure effective execution across the team. It is well suited to someone who enjoys creating order, staying one step ahead, and helping leaders and teams focus on the highest-value work. What you will do: Executive and team support Provide direct support to the CIO and selected leaders within Enterprise Technologies Help manage day-to-day coordination for the CIO Office and support smooth execution across leadership activities Support recurring leadership team processes and help coordinate across stakeholders inside and outside Enterprise Technologies Help drive follow-through on operational and administrative tasks across the team Team coordination and communication Coordinate the preparation and distribution of the monthly team digest Gather inputs and updates from team leads, ensure consistency across contributions, and follow up proactively to keep deadlines on track Support internal communication and coordination across the leadership team and key stakeholders Help ensure team processes move forward in a timely and well-organized way Calendar and scheduling management Manage and optimize calendars for the CIO and selected leaders, ensuring effective prioritization and efficient use of time Schedule meetings, resolve conflicts, and coordinate across internal and external stakeholders Arrange guest invitations and support meetings with vendors and partners Handle scheduling matters with discretion, strong judgment, and attention to confidentiality Event planning and logistics Organize team events such as offsites, workshops, and vendor meetings Manage end-to-end logistics including venue research, bookings, travel coordination, agendas, and participant communication Ensure smooth execution of events and provide on-site support where needed Administrative and financial support Process invoices and support payment-related workflows Create and manage ZIP requests or other relevant internal purchasing and finance processes Support expense submission and approval workflows Track administrative items to completion and ensure nothing falls through the cracks Travel coordination Book and coordinate travel for the CIO, selected leaders, and team activities as needed, including itineraries, accommodations, and related logistics Ensure travel arrangements are efficient, well communicated, and aligned with internal processes and budgets Operational support Support day-to-day operations across the Enterprise Technologies team Work closely with internal business partners and cross-functional teams to coordinate activities and keep processes moving Assist with documentation, tracking, and follow-up for recurring operational processes Help maintain organized team materials and information needed for smooth execution What we are looking for: Experience in an administrative, team assistant, executive assistant, or operations support role Strong organizational skills and excellent attention to detail Proven ability to support senior stakeholders and manage competing priorities High level of discretion and professionalism when handling sensitive information Strong communication skills, both written and verbal A proactive, service-oriented mindset with strong follow-through Comfort working across calendars, travel booking, finance and administrative processes, and collaboration tools Ability to work independently, anticipate needs, and solve problems with minimal supervision Confidence working in a fast-moving environment and across multiple teams What success looks like: The CIO and supported leaders are well organized and able to focus on priorities Calendars, meetings, travel, and logistics are managed smoothly and with minimal friction Team coordination processes run reliably and with minimal prompting Administrative and finance workflows are completed accurately and on time Internal coordination across Enterprise Technologies and business partners is efficient and dependable Stakeholders experience the role as trusted, thoughtful, proactive, and highly reliable Why join? This role offers the opportunity to work closely with the CIO Office and the Enterprise Technologies leadership team, and to make a visible impact on how the organization operates. You will play a central role in helping leaders stay focused, improving coordination across the team, and ensuring important operational processes run smoothly. #LI-RK1 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: 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 are looking for a Technical Project Manager to own server and rack-level production projects for large-scale AI datacenter infrastructure. This role connects capacity planning, hardware architecture, procurement, ODM manufacturing, logistics, and datacenter deployment teams. You will make sure the right GPU, compute, and storage infrastructure is ordered, produced, delivered, and deployed on time. The role requires strong server hardware knowledge, structured project management, vendor coordination, and high ownership across adjacent work-streams. Your responsibilities will include: Align server and rack requirements with capacity planning and datacenter architecture teams. Translate project demand into hardware inputs for procurement and ODM production. Decompose required key parts, including CPUs, memory, drives, NICs, and other critical components. Validate that procured components are compatible with required server configurations. Place and track production orders with ODM partners. Coordinate BOM readiness, component availability, and production timelines. Manage a portfolio of production projects across multiple projects and vendors. Track risks, blockers, dependencies, and recovery plans. Escalate issues early, including BOM problems, shortages, quality risks, factory delays, payment delays, export license issues, and deployment schedule changes. Visit factories when needed to support quality control, production execution, and timeline recovery. Track adjacent processes such as POs, invoices, export licenses, payments, logistics bookings, and required documentation. Provide regular production status, risk updates, and decision points to stakeholders. Drive issue resolution across planning, procurement, production, testing, logistics, delivery, and deployment. Continious improvements after each production cycle. Improve ODM requirements, supplier expectations, internal processes, reporting, and tooling. Gather deployment and operations feedback and convert it into future production improvements. We expect you to have: Experience managing complex hardware production, manufacturing, supply chain, infrastructure, or datacenter delivery projects. Strong understanding of modern server architectures, especially high-performance GPU-based environments. Knowledge of server components and ability to configure hardware for different service needs. Ability to quickly adapt to new server platforms, components, and technologies. Experience working with ODMs, OEMs, factories, hardware vendors, or contract manufacturers. Experience with BOMs, component planning, production timelines, and factory execution. Strong project management skills, including Gantt charts, milestones, dependencies, and risk tracking. Excellent problem-solving skills and ability to work under tight deadlines. Strong communication, negotiation, and vendor management skills. High ownership, structured thinking, and ability to drive work-streams outside the narrow TPM scope. It will be an added bonus if you have: Basic understanding of GPU infrastructure including diagnostics/troubleshooting of GPU. Ability to collect system logs and hardware diagnostics, with a general understanding of BIOS/BMC functionality and their interaction with the operating system and hardware components. 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: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO: - Solve for the customer: We serve multiple stakeholders – People looking for help from our Agents via chat & voice, CX managers using our tools to monitor and improve the process, and Developers looking to build on and extend our platform. Each of these has a unique set of needs and product challenges. - Innovate: AI Agents represent a new frontier. Discovering new tools and processes for building agents will be among the defining characteristics of the next generation of companies. - End-to-End Ownership: Drive the entire design process from concept to execution to iteration, in close collaboration with cross-functional partners. - Collaborate Across Teams: Partner closely engineering, product, leadership, and the entire company to define and build a seamless and cohesive experience.  - Gather Feedback: Get your hand dirty with customer feedback and usability testing to gather insights and iterate to ensure we solve user problems effectively. - Build Design Systems: Develop and maintain a scalable design system that ensures consistency and efficiency across all products and platforms. WHAT YOU'LL BRING: - Proven Experience: Extensive experience in UI/UX design, with background leading design projects from ideation to launch. - Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles.  - Full-Stack Design: Visual design is the baseline. You should be fluent in creating beautiful, high-quality designs—working end-to-end from shaping product direction to defining the right interactions and ensuring every pixel is crafted with care. - Great Collaboration: Design is a team sport, and building great products means working closely with product, engineering, and leadership to help bring ideas to life. - Excellent Communication: Strong verbal and written communication skills, with the ability to articulate problems, design concepts and decisions to various stakeholders. - Research Skills: Experience gathering customer feedback, usability testing, and translating findings into actionable design improvements. - Technical Proficiency: Fluent in Figma and comfortable picking up new tools quickly, especially AI tools. You use them every day to explore more ideas, prototype faster, and push your work further, and you know when your own judgment needs to take over. - Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. EVEN BETTER... - Experience designing for AI-driven products or conversational interfaces. - Experience working on developer-driven products, including SDKs, APIs, and technical tooling. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

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 Nebius is building next-generation AI infrastructure at scale. We are looking for a Field Technical Lead to drive on-site execution of new data center deployments, leading technical teams and contractors while ensuring high-quality, on-time delivery. This position requires frequent travel to data centers during key deployment phases & candidates should be located in Israel to be considered. Your responsibilities will include: Technically lead on-site deployment of GPU-based compute clusters, storage systems, and high-speed networking in data centers. Support Project Managers in planning, coordinating, and tracking project delivery activities. Organize and supervise contractors, vendors, and internal technical teams to ensure smooth execution of deployment workstreams. Proactively identify, troubleshoot, and resolve technical and operational issues during deployments. Maintain clear and accurate project documentation, including deployment plans, risk logs, issue trackers, and acceptance reports. Ensure transparent communication with all stakeholders by providing regular status updates, escalating blockers, and managing expectations. Collaborate closely with cross-functional teams including engineering, networking, operations, and supply chain. Participate in related project activities such as automation initiatives, process improvements, and post-deployment support when required. We expect you to have: Proactive, ownership-driven leader with the ability to anticipate issues, drive decisions on-site, and lead teams through complex deployments. Proven hands-on experience with data center infrastructure deployments, ideally in high-performance computing or AI-focused environments. Strong understanding of data center operations including racking, structured cabling, power planning, and cooling considerations. Technical knowledge of GPU servers, compute nodes, storage platforms, and high-speed networking technologies. Experience working within project delivery frameworks, collaborating closely with Project Managers, and managing subcontractors or vendors. Excellent problem-solving skills with the ability to troubleshoot and resolve issues in on-site, time-critical environments. Strong communication skills in English, both written and verbal. Ability to document processes, maintain tracking systems, and produce clear, structured deployment and status reports. It will be an added bonus if you have: Understanding of construction projects structure and key risk factors in facility build-outs. Knowledge of HPC Experience in business processes design or automation tools development. PMP, PRINCE2, or similar industry certifications. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! 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: Lappeenranta, Finland 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. Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. The role We’re looking for a Datacenter L2 IT technician to troubleshoot and solve data center IT hardware issues. This is a position for a technical expert working at the intersection of multiple technical and operational domains. Position is full time day shift. Your responsibilities will include: Solve the challenging hardware related issues with servers, involving in-depth advanced level troubleshooting Involved in hardware problem management, workarounds and solutions Solve proactively L1/L2 tasks through ticket system Update new processes and documentation for IT hardware team Collaborate with L3 Technician to improve SLA with complex diagnostics Improve support processes, documentation and training materials Basic level of network tasks, troubleshooting and support We expect you to have: Knowledge of datacenters, and server equipment Advanced knowledge of IT hardware and practical experience of troubleshooting Advanced skills working with the Unix/Linux operating system and command line Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be an added bonus if you have: Knowledge of network equipment and troubleshooting in advanced level Driving license type B 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: Lappeenranta, Finland 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. Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. New data center development: We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment. The role As an IT Datacenter Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations. Please note that this is a shift work (day & night shift). Your responsibilities will include: Monitor and support the IT infrastructure to ensure optimal performance and uptime. Diagnose and resolve issues related to server and network hardware within the data center. Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements. Manage and maintain fiber optic and patch cable connectivity. Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation. Collaborate with internal teams to resolve technical and operational issues. Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance. We expect you to have: Solid understanding of server and networking equipment. Practical, hands-on experience with server hardware, network switches, and fiber optic cabling. Proven ability to diagnose and resolve hardware-related issues. A proactive, responsible, and results-driven work attitude. 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: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for a CTO to join one of Toogeza’s clients. COMPANY OVERVIEW AI-native consumer mobile company with a subscription monetization model. Our iOS app is live: an AI agent with voice control that automatically assembles a finished video clip with music and subtitles from multiple videos a user uploads from their camera roll. The agent determines the theme, selects shots, edits, and adds audio. Android is in active development. We build a full-stack product: the AI agent is the core, with mobile apps, performance marketing, growth, and product analytics built around it. Industry references — Lightricks, Bending Spoons, Codeway, Photoroom: subscription mobile publishers with in-house R&D and mature growth infrastructure. CURRENT TECHNICAL LANDSCAPE The architecture is hybrid: AI video analysis runs server-side, the final clip assembly happens on-device. A strategic direction the CTO will own — gradually migrate decisions from backend to device without quality loss, to improve unit economics. The voice stack is built on third-party providers (Whisper / Deepgram / OpenAI Realtime / ElevenLabs). The CTO must evaluate trade-offs between providers across latency, cost, and quality, and decide when to replace or hybridize parts of the stack. The LLM agent (Operator / Director / Producer hierarchy) uses a memory system on pgvector + Neo4j (GraphRAG hybrid retrieval). The user portrait is built from multi-signal data — camera, voice, gallery, social analytics. TEAM The engineering team today is 6 people, all reporting directly to the CTO: - AI / Agent: 2 people (including a recently hired AI Engineer) - iOS: 2 engineers - Android: 1 engineer - Backend: 1 engineer Plus product, marketing, and growth. The plan for engineering team growth is targeted — +1–2 people over 6 months. This is not "build a team from scratch" — it is "lead an existing team and reinforce it where needed". WHY WE ARE HIRING A CTO Our product is entering a phase where the engineering team must become a full product engineering vertical with its own tempo, processes, and culture. We need a CTO who simultaneously owns three intersections: - Production mobile video stack at the level of Core Image / Metal / OpenGL ES / AVFoundation, video processing, rendering, on-device inference — real experience, not theory - Agentic AI and LLMs in production — LLM orchestration, RAG/GraphRAG, agentic architectures, memory systems, evaluation frameworks, hands-on with voice stacks - Subscription growth infrastructure at Codeway / Bending Spoons / Lightricks level — paywall A/B, MMP attribution, SKAN/AdAttributionKit, LTV/ROAS pipelines, cost optimization This is the owner of the product engineering vertical, with direct accountability for the production product, hiring, unit economics, and technical strategy. WHAT YOU WILL OWN PRODUCTION PRODUCT - Full technical ownership of the live iOS app and the Android launch - Auto-edit quality and stability: scene understanding, shot selection, beat matching, subtitle generation, thematic coherence - Voice agent: latency, recognition accuracy, dialog quality, selection and optimization of third-party providers (Whisper / Deepgram / OpenAI Realtime / ElevenLabs) - Hybrid pipeline: video analysis server-side, assembly on-device — and the strategic shift toward more on-device without quality loss - Operational excellence: uptime, incident management, AI output quality monitoring UNIT ECONOMICS AND COST OPTIMIZATION - Migrating tasks from backend to device as the key unit-economics lever — prioritization, technical plan, quality metrics during migration - GPU inference and server-side video pipeline optimization (FFmpeg, queues, CDN) - Cost management for third-party AI APIs (LLM, ASR, TTS, music generation/licensing) — hybrid of in-house and third-party - Cost-aware decisions across cloud, third-party SDKs, infrastructure ENGINEERING ORGANIZATION - Manage the current engineering team (6 people: 2 AI, 2 iOS, 1 Android, 1 backend) - Targeted hiring of 1–2 people over 6 months to address specific tasks and stack gaps - Performance reviews, technical onboarding, engineering culture - Process design — sprint cadence, code review, on-call, incident management — proportionate to stage, without premature process overhead AGENT ARCHITECTURE AND PLATFORM - Evolve product's agentic architecture (Operator / Director / Producer hierarchy) - Memory system on pgvector + Neo4j (GraphRAG hybrid retrieval), Knowledge Graph, user portrait pipeline - Voice-first interface — optimize end-to-end latency and cost through provider selection and stack hybridization - Evaluation infrastructure for LLM agents — LLM-as-judge, regression tests for edit quality and tone of voice MOBILE VIDEO STACK - iOS: Swift, Core Image, Metal, AVFoundation, Vision; on-device CoreML inference where it improves unit economics - Android (in development): Kotlin, OpenGL ES / Vulkan, MediaCodec, CameraX, ML Kit / TensorFlow Lite - Server-side rendering pipeline (FFmpeg, GPU inference), CDN, video delivery - On-device video composition, real-time preview, optimization across device classes GROWTH INFRASTRUCTURE AND UNIT ECONOMICS - Subscription stack: RevenueCat / Adapty, paywall A/B testing, server-driven paywalls - Attribution: AppsFlyer / Adjust / Branch, SKAN / AdAttributionKit, probabilistic modeling, web-to-app funnels - Product analytics and data warehouse: event pipeline, BI, cohort analysis, LTV/ROAS dashboards STRATEGY AND INVESTOR READINESS - Translate company strategy into a roadmap: from tactical quick wins to stable long-term - Tech due diligence readiness for the next round - Direct partner to the founder on product and business decisions WHO WE ARE LOOKING FOR MUST HAVE - CTO / VP Engineering / Head of Engineering experience in a consumer mobile subscription company. Experience leading a team of 10+ engineers is required; companies of 30+ people — strong plus - Production video/photo stack: Core Image, Metal, OpenGL ES / Vulkan, AVFoundation, MediaCodec — both mobile platforms - Experience migrating workloads from backend to device (on-device inference, on-device video processing) with measurable unit-economics impact - Subscription growth experience at the level of Codeway / Bending Spoons / Lightricks / Photoroom — paywall optimization, MMP attribution, post-ATT/SKAN, LTV-driven decisions - Agentic AI / LLMs in production: you understand the difference between "calling the OpenAI API" and building an agent system with memory, tools, and an eval loop. Hands-on experience with voice stacks (ASR/TTS, real-time voice agents) — required - Management maturity: hiring, performance reviews, budgeting, cost-aware decisions, business orientation STRONG PLUS - Production launch experience with an auto-edit video or voice-controlled app (Captions / Descript / Opus Clip / Submagic / CapCut-class) - Proprietary ML models in production — fine-tuning, on-device CoreML/TFLite, model distillation - Experience optimizing third-party AI API cost and latency (LLM, ASR, TTS) through hybridization and in-house replacements What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: London, England, United Kingdom Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a ML Engineer to join our Data Science team, a future-looking technical arm of Graham. We envision, design, prototype and implement the processes that feed Quantitative Research and Discretionary Trading teams as well as the broader firm. We are passionate about what we do and welcome every opportunity to prove it. The Data Science department straddles traditional Data Science and Engineering roles as well as the application of Machine Learning & AI. We work closely with Quant Researchers, Portfolio Managers, Operations and Execution to continuously improve upon our offering. Every day we work to transform our business through data, technology, and the insights we provide our stakeholders. At Graham, our systems feed live models around the clock, span billions of market data ticks, an ever-increasing corpus of news and other texts as well as a broad spectrum of financial and alternative data. Our objective is to support the research process by providing our stakeholders with all the right pieces to succeed in their jobs. Responsibilities You will be part of a growing team within Data Science. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems on the buy-side. You will work closely with other areas such as Technology, Quantitative Research and Portfolio Manager groups as well as Risk and Operations to learn about problems they face with respect to data and ultimately develop cutting edge solutions. Your focus will be to dive deep into multiple data sets to understand relationships, develop time series, forecasting models, and support quant strategies, and provide new insights and leverage state-of-the-art machine learning and advanced statistical methods to produce the best data sources for the fund. Requirements Undergraduate or higher degree in Computer Science, Engineering, Operations Research, or other quantitative discipline 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets Experience writing production code for multi-client systems serving model results is a great plus Ability to clearly communicate research findings to technical and nontechnical stakeholders Full-stack experience with Python (preferred) or C++, Spark/Scala, SQL or other distributed data processing technologies as well as experience working comfortably building and deploying services and models in containerized environments Experience with scientific computing, statistics, optimization, time series, panel data, etc. Comfortable handling multiple projects to solve varied problems working with multiple teams Detail-oriented mindset Sense of ownership of his/her work, working well both independently as well as collaboratively This role requires commuting into our London office Mondays through Fridays.

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 Nebius is building next-generation data center infrastructure across the United States to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the US portfolio. This role is ideal for a mechanical engineer who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments. Location: Remote, US Responsibilities Review mechanical design packages for data center projects, including internal concepts and third-party partner designs. Support mechanical design development for high-density data center environments. Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures. Coordinate closely with electrical design, construction, commissioning, and operations stakeholders. Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards. Help assess technical tradeoffs, alternative solutions, product options, and design risks. Support design reviews tied to power density, airflow, cooling capacity, and operational readiness. Requirements Data center mechanical design experience. Strong understanding of mechanical systems in mission-critical or data center environments. Experience with air-cooled data center design. Ability to evaluate mechanical capacity, flows, and design assumptions. Ability to review design documents, technical proposals, and partner deliverables. Ability to read and interpret contracts, design requirements, and technical standards. Strong communication skills with internal stakeholders, external design partners, and construction teams. Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty. Nice to Have Experience with liquid-cooled data center technologies. Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers. Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms. Familiarity with high-density rack environments, including 50kW to 200kW per rack. Experience supporting design reviews through commissioning or operational turnover. 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 $185,000 — $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; Remote - Europe; 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 seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platforms for machine learning and AI workloads. You will play a critical role in evaluating the performance of GPU-based hardware for various deep learning and AI frameworks, enabling data-driven decisions for platform optimisation and next-generation hardware development. Your responsibilities will include: Work closely with hardware, development teams to profile and analyse GPU performance at the system and kernel level. Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g.,CUDA, ROCm). Debug and optimise ML workloads to run efficiently on GPU hardware, identifying and resolving performance bottlenecks. Perform acceptance testing acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads. Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimisations on performance and scalability. Develop tools and dashboards to visualise performance metrics visualise performance metrics, bottlenecks, and trends. Contribute to internal tooling, frameworks, and best practices We expect you to have: A profound understanding of theoretical foundations of machine learning Deep understanding of performance aspects of large neural networks training and inference (data/tensor/context/expert parallelism, offloading, custom kernels, hardware features, attention optimisations, dynamic batching etc.) Deep experience with modern deep learning frameworks (PyTorch, JAX, Megatron-LM, Tensort-LLM) Good understanding of the GPU stack: CUDA,NCCL, drivers, and relevant libraries Familiarity with containerized environments (e.g., Docker, Kubernetes). Strong communication and ability to work independently Ways to stand out from the crowd: Familiarity with modern LLM inference frameworks (vLLM, SGLang, TensorRT) Experience in Python and performance profiling tools (e.g., Nsight, nvprof, perf). Familiarity with cloud ML platforms like AWS, GCP, Azure ML Contributions to open-source ML benchmarking tools 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.