Вакансии

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте — Обеспечение бесперебойной работы инфраструктуры и сервисов — Сопровождение bare-metal кластеров Kubernetes — Сопровождение кластеров ClickHouse, Kafka, PostgreSQL, Aerospike — Автоматизация процессов — Обнаружение потенциальных проблем и участие в создании решения по их устранению — Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг Требования: — Опыт администрирования Linux серверов — Опыт администрирования Kubernetes — Опыт администрирования ClickHouse, PostgreSQL, Redis — Опыт работы с брокерами сообщений (Kafka) — Понимание принципов Infrastructure as Code (IaC) — Опыт работы с Prometheus stack — Опыт работы с ELK/EFK — Опыт работы с Aerospike (будет плюсом) — Опыт использования GitLab CI (будет плюсом) — Опыт автоматизации с помощью Ansible (будет плюсом) — Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.) (будет плюсом) Условия: — Полная занятость (full-time) — Отсутствие дресс-кода и бюрократии — Рабочий ноутбук на выбор: Mac или PC — Покупка билетов до Кипра за счёт компании — Помощь с переездом семьи из любого региона — Рабочая виза для сотрудника и гостевая виза для членов семьи — Предоставление жилья на первый месяц — Медицинская страховка и мобильная связь — Бесплатные обеды и напитки — Всегда полные корзины фруктов и всяких вкусняшек в офисе — Бесплатные курсы английского и греческого языков — Оплата занятий спортом — Частичная оплата школ и детских садов

Virtualization & Cloud: Manage Proxmox on-prem environments alongside major public cloud platforms. Automation & IaC: Drive repeatable deployments using Terraform, Ansible, Git, and scripting (Python, Bash, PowerShell).

💎3+ года опыта в DevOps, системном администрировании или на аналогичной позиции, уверенное владение Linux и/или Windows на уровне администратора, Автоматизация и CI/CD, Python, Bash, PowerShell, профессиональный английский.

Location: San Jose, California, United States 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. About the Team Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience. Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments. About the Opportunity: We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability. What You’ll Be Doing: Responsible for the maintenance and configuration of AWS products and services Responsible for the research, architecture and project implementation solutions based on AWS products Responsible for the daily maintenance of each AWS cloud environment Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines Assist the team in troubleshooting and resolving production database issues during incidents Monitor company services and handle alerts in a timely manner to ensure service stability and uptime Collaborate with development teams to ensure seamless integration and deployment of new features Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers What We Look For In You: Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis Familiar with Kubernetes (k8s) for container orchestration and management Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products Experience with microservices architecture, including deployment, scaling, and maintenance Experience in monitoring, O&M and management of AWS large-scale servers and containers Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows Familiar with the deployment, configuration and maintenance of Nginx, kong and other software Proficient in using Python/Go/shell for development Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency Working knowledge of Terraform or similar IaC tools is a plus Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive Nice to Have: Bilingual in English and Mandarin Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers. 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID 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 .

Design and support air-gapped deployment environments for LLM-based systems. Deploy and optimize LLM workloads on GPU infrastructure.

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 Humanoid is looking for a hands-on Cloud Infrastructure Engineer to own the continued development, deployment and operation of the existing data platform within Humanoid. The role spans cloud infrastructure, full-stack development, platform engineering and data engineering, with responsibility for turning internal engineering requirements into reliable production systems. You will also lead delivery by external contractors and act as their sole point of contact with Humanoid. You will gather requirements from our internal engineering teams, translate them into technical briefs, oversee implementation and bring completed work back for validation. All contractor questions, feedback and delivery coordination will flow through you, without requiring direct communication between contractors and other Humanoid team members. This role combines substantial engineering work with technical leadership and delivery ownership.   WHAT YOU'LL DO - Own platform delivery: Understand the existing platform architecture, identify the changes needed for Humanoid’s environment and workflows, and take those changes through development, integration, testing and deployment. - Lead external contractors: Define work packages, priorities, technical requirements and acceptance criteria. Review designs and code, resolve technical questions, track delivery and ensure completed work meets Humanoid’s standards. - Connect internal needs to implementation: Work with Humanoid’s engineering teams to understand requirements and constraints. Maintain a clear backlog, communicate tradeoffs and progress, and raise risks or decisions early. - Build and operate cloud infrastructure: Manage compute, storage, networking and environments through infrastructure as code, with attention to security, reliability, performance and cost. - Develop across the stack: Implement and maintain backend services, APIs, integrations and frontend interfaces that support internal users and engineering workflows. - Improve the engineering platform: Build and maintain CI/CD pipelines, automated tests, deployment processes, environment configuration and developer tooling. - Own data workflows: Develop and maintain data ingestion, processing, storage and access pipelines. Address data quality, schema changes, failed jobs and recovery. - Maintain production reliability: Establish monitoring, logging and alerting; investigate incidents; and maintain practical rollback, backup and recovery procedures. - Control access and preserve knowledge: Manage contractor permissions and secrets appropriately. Ensure source code, infrastructure definitions, documentation and operational knowledge remain accessible to Humanoid. - Verify and hand over completed work. Validate contractor deliverables against agreed acceptance criteria and ensure releases include the documentation and support needed for ongoing operation.   WHAT WE'RE LOOKING FOR - Experience building, deploying and operating production software on a major cloud platform. - Strong practical knowledge of infrastructure as code, containers, Linux, networking, identity and access management, and CI/CD. - Solid software engineering skills, including backend services, APIs, databases and the ability to work across frontend and backend code. - Experience with data pipelines, object storage, relational databases and reliable processing of large datasets. - Evidence of taking ownership of an existing platform: understanding unfamiliar code, diagnosing problems and delivering improvements safely. - Experience leading external developers or contractors, including scoping work, reviewing implementation and holding delivery to clear quality standards. - Clear written and verbal communication, with the ability to turn incomplete requirements into actionable technical work. - Sound judgment about what to build directly, what to delegate and when to involve internal engineering specialists. Experience with robotics, machine learning infrastructure, sensor data or internal data platforms would be valuable. We welcome engineers with particular depth in infrastructure or platform engineering who can demonstrate effective delivery across the wider software stack. WHAT SUCCESS LOOKS LIKE? The data platform is deployed reliably within Humanoid and develops in line with internal engineering needs. Contractor work arrives tested, documented and ready to integrate. Internal teams have clear visibility into progress and decisions, while you own the technical context, coordination and follow-through needed to deliver.   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.

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;

Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Ищем системного администратора уровня Middle+/Senior для сопровождения и развития IT-инфраструктуры нескольких организаций в сфере здравоохранения и IT. Опыт системного администрирования от 3 лет.

💎Опыт разработки приложений на Go, Linux, Docker, good written English.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE We're looking for a Senior Infrastructure Engineer II to take ownership of a large share of Kit's core infrastructure: databases, Kubernetes, version upgrades, platform tooling, and day-to-day support. You'll also build the paved paths that let engineers, non-engineers, and AI agents test and ship changes safely. The infrastructure supports creators who depend on Kit to reach their audiences and earn a living. When it's healthy, nobody notices. That's the job. This is a full-time Individual Contributor role for an experienced infrastructure engineer who likes owning production systems end to end, takes on-call seriously, leans into automation and enjoys making other people's work easier.   YOUR SUPPORT SYSTEM You'll report to Mojtaba Hosseini https://www.linkedin.com/in/mojtaba-hosseini-7a6666/, VP of Engineering at Kit. Day to day, you'll work most closely with Kris Hamoud https://www.linkedin.com/in/kristopher-hamoud-17b34665/ and Ivan Mora Perez https://www.linkedin.com/in/ivan-mora-p%C3%A9rez-ab460b45/. You'll also partner with product engineers across Kit, and with teams outside engineering who rely on infrastructure to get their work done. Once you're ramped up, you'll join a three-person on-call rotation, which works out to roughly one week in three.   WHAT YOU'LL DO - First Week: Get access to our AWS accounts, Kubernetes clusters, monitoring, and CI/CD pipelines. Read through our runbooks and architecture docs. Take part in Get To Know Yous (GTKYs) with Kris, Ivan, and the engineering teams you'll support. - First Month: Pick up day-to-day infrastructure support requests and start working through them with Kris and Ivan as backup. Ship your first improvement, such as a version upgrade or a fix to a gap in monitoring. Shadow on-call shifts. Write down what you learn along the way, especially the parts that only lived in someone's head or those that can be automated or improved. - First Six Months: Own core infrastructure areas end to end: databases, Kubernetes, version upgrades, and platform tooling. Take your full share of on-call, which you'll start by the end of your first quarter. Become the go-to person for day-to-day infrastructure questions. Find one recurring source of pages and make it go away. Ship a first paved path, such as a sandbox environment where AI agents or non-engineers can safely build and test changes. - First Year: You're the primary owner of a large part of Kit's core infrastructure, and you lead projects in it without needing direction. Uptime stays at 99.9% or better, page volume is down, and you've found real cost savings. Your paved paths are in regular use by engineers, non-engineers, and AI agents. You've built observability good enough for AI agents to handle some on-call load. You've documented your decisions so others can build on your work.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Running production infrastructure on AWS at scale, including managed relational databases, networking, and load balancing - Operating Kubernetes in production: upgrades, capacity planning, and troubleshooting - Managing infrastructure as code and maintaining CI/CD pipelines that engineers trust - Building monitoring and alerting that catches real problems early and doesn't page people for noise - Diagnosing complex, multi-service incidents calmly, then fixing the underlying cause - Cutting cloud costs through right-sizing and reserved capacity without hurting reliability - Writing clear runbooks, docs, and decision write-ups - Nice to have: experience with Cloudflare, ephemeral or sandbox environments, or email sending infrastructure Experiences - Around 7 or more years in infrastructure, platform, DevOps, or SRE roles - Owning production infrastructure for a product where downtime costs customers money - Carrying a pager for systems you owned, and making that on-call rotation quieter over time - Leading a major upgrade or migration, such as a database or Kubernetes version upgrade, with little or no customer impact - Building self-service tooling or paved paths that other engineers actually adopted - Working on a small infrastructure team where you couldn't hand problems off to a specialist Traits - You own what you run. You spot infrastructure debt and fix it without waiting to be asked, and you follow through until it's done. - You build quality into the work. Upgrades have rollback plans, maintenance windows are planned around customers, and "good enough" is a decision, not a default. - You leverage AI effectively. AI helps you increase quality and velocity where it matters most. You know when to delegate and when to dive in, while holding accountability. - You make work easier for everyone else. You'd rather build a tool or write a guide once than answer the same question ten times. - You teach what you know. You write things down so the next person, or the next AI agent, can build on your work. - You work in public. You share context and tradeoffs openly, including during incidents and when things go wrong. - You use AI thoughtfully. It's part of how you work, and you help others adopt it without creating new risks. - You remember who's on the other end. An outage means a creator's launch email doesn't go out, and that shapes how you prioritize.   WHAT WON'T SET YOU UP FOR SUCCESS - Wanting a well-defined backlog handed to you each week. Here, you'll find much of the work yourself and set priorities with Kris. - Preferring not to be on call. On-call is a core part of this role, shared across a team of three. - You are skeptical of AI’s capabilities, or conversely use AI without good judgement and accountability. - Wanting mostly greenfield architecture. A lot of this work is running, upgrading, and improving systems that already exist. - Needing layers of approval before acting.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time—so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. This role is part of a three-person on-call rotation, so during your on-call week you'll need to be able to respond to pages outside your usual working hours. We believe PTO should always take priority over on-call. We schedule on-call around people's lives, not the other way around. On-call is a shared responsibility, but taking time off should never be a challenge   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($197,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min) We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Vultr is looking for an Infrastructure Production Engineer to develop automated GPU hardware validation, diagnostics, remediation, and production onboarding tooling.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're looking for a Lead Site Reliability Engineer to build and run the fundamental part of Nebius in APAC: the Network, the infrastructure everything else depends on. We are at the early stage of our APAC expansion, so this is a hands-on role. You will define reliability targets, write automation and handle incidents yourself, with a high degree of independence from the European teams. As the region grows, you will build and lead the local SRE team. Your responsibilities will include: Define and own reliability goals for network services and critical paths in the region (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole APAC network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards for new data centers Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting); set up on-call and incident management practices for the region 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 in APAC and Europe to embed operability into designs and keep operations practical and fast Hire, onboard and mentor the first SREs in the region and set the engineering bar for the team Coordinate with European teams on handoffs and coverage across time zones We expect you to have: 7+ years of experience in SRE / infrastructure engineering, including experience leading a team or acting as a technical lead with broad ownership of production systems 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 Ability to work independently in an early-stage environment and to build processes and a team from scratch Willingness to stay hands-on while leading and growing a team 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 (routing/flow telemetry, regression detection at scale) Knowledge of the APAC network landscape (carriers, IX, regional connectivity and regulatory specifics) 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: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. What You'll Be Doing As a Senior Infrastructure Security & Operations Engineer, you’ll be a hands-on technical expert responsible for strengthening Unlimit’s infrastructure security and operational cyber defence capabilities. You’ll combine security engineering, detection and response, vulnerability management, and cloud security expertise to protect our technology ecosystem against evolving threats. A major part of this role will involve transforming traditional security operations through AI-powered and agentic automation. You’ll design and build intelligent security workflows, automate investigations and response activities, and continuously improve the effectiveness and efficiency of our cyber defence capabilities. This role is ideal for an experienced infrastructure or security engineer who combines strong systems engineering fundamentals with practical security operations experience, advanced automation skills, and a passion for building modern, AI-driven security solutions. What You’ll Do Own and continuously improve infrastructure security controls across Unlimit’s global technology environment. Operate and enhance internal Security Operations, including security monitoring, alert triage, incident investigation, and response. Develop and maintain detection engineering capabilities, including SIEM correlation rules, detection use cases, log analysis, and security monitoring integrations. Conduct proactive threat hunting and leverage cyber threat intelligence to identify emerging threats and improve defensive capabilities. Lead technical incident response activities, including investigation, containment, remediation, and post-incident improvements. Manage infrastructure vulnerability assessment and remediation processes, including vulnerability scanning, prioritisation, tracking, and validation. Implement and continuously improve infrastructure hardening and security configurations across servers, endpoints, networks, and cloud environments. Develop and maintain security controls across AWS, Kubernetes, and containerised environments. Own and optimise endpoint protection and detection capabilities, including EDR/XDR technologies. Contribute to network security, directory security, and infrastructure security architecture reviews. Administer, integrate, and continuously improve security technologies, including SIEM, EDR/XDR, vulnerability management, and infrastructure security platforms. Coordinate external penetration testing activities within the infrastructure security scope, validate findings, and support remediation. Provide technical support for IT and Information Security audits, including evidence collection, technical control validation, and remediation of identified gaps. Collaborate closely with Infrastructure, DevOps, Engineering, and Application Security teams to implement practical and scalable security improvements. AI & Agentic Security Automation Design, develop, and maintain AI-powered and agentic security automation as a core part of Cyber Security operations. Build autonomous and semi-autonomous workflows for security alert triage, investigation, enrichment, and response. Develop AI-assisted detection engineering, threat hunting, and threat intelligence processing capabilities. Automate vulnerability analysis, risk-based prioritisation, and remediation workflows. Build custom security integrations, automation scripts, and internal security tools using Python, APIs, and modern AI development frameworks. Leverage LLMs and agentic development tools, including Claude, to improve security operations efficiency and engineering productivity. Ensure AI-powered security workflows incorporate appropriate validation, access controls, and human oversight for sensitive or high-impact actions. What We’re Looking For 6+ years of hands-on engineering experience, including at least 4 years in Cyber Security, Infrastructure Security, or Security Operations. Strong technical background in IT infrastructure, systems engineering, cloud engineering, or platform engineering. Proven experience implementing and maintaining infrastructure security controls in complex production environments. Hands-on experience with Security Operations, SIEM, detection engineering, incident response, and threat hunting. Strong understanding of modern cyber attack tactics, techniques, and procedures (TTPs), including MITRE ATT&CK. Practical experience with EDR/XDR, vulnerability management, and security monitoring technologies. Solid understanding of Linux, networking, operating system security, and infrastructure hardening. Experience securing AWS environments, Kubernetes clusters, and containerised workloads. Strong Python development skills and experience building security automation, integrations, and internal tools. Practical experience developing AI-powered and agentic solutions, including LLM integrations, tool orchestration, autonomous workflows, and AI-assisted automation. Experience integrating security controls and automation into infrastructure and DevOps workflows. Ability to independently investigate complex security issues, identify root causes, and implement effective technical solutions. Strong analytical and problem-solving skills, with an engineering-first approach to security. Ability to work independently while collaborating effectively with Infrastructure, DevOps, Engineering, and Security teams. Technical Experience Hands-on experience with several of the following technologies is highly desirable: Security Operations: CrowdStrike, Elastic Security / Elasticsearch, Tenable. Cloud & Infrastructure: AWS, Kubernetes, container technologies, Cloudflare. Engineering & Automation: Python, Terraform, GitLab, REST APIs. AI & Agentic Development: Claude, LLM APIs, agentic frameworks, tool integrations, and AI-powered workflow orchestration. Nice to Have Previous experience in fintech, financial services, payments, or large-scale regulated e-commerce environments. Experience building AI-powered SOC capabilities or autonomous security operations workflows. Experience developing custom detection rules, security integrations, or open-source security tools. Knowledge of infrastructure security architecture and secure cloud design. Experience with offensive security techniques, infrastructure penetration testing, or adversary simulation. Relevant security, cloud, or engineering certifications. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

— администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP;