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Senior Data Analyst at Nebius builds and owns data pipelines, dashboards, and analytics for automating global hardware infrastructure, using Python, SQL, and cloud tools to drive operational decisions.
The Senior Compensation Analyst manages and administers employee compensation programs, including market pricing, salary structure maintenance, and merit/bonus planning. The role involves analyzing internal and external data to ensure competitive and equitable pay practices within the company's AI cloud infrastructure platform.
Designs and reviews electrical systems for high-density AI data centers in APAC, focusing on low/medium/high-voltage infrastructure and ensuring compliance with local regulations and operational needs.
Senior HR Systems Analyst designs and improves HR technology workflows, manages the HRIS (HiBob) roadmap, and partners with HR teams to automate processes and enhance employee self-service in a fast-growing AI cloud company.
Designs and optimizes large-scale GPU clusters for AI workloads, focusing on compute, networking, storage, and reliability across data centers.
Oversee the planning and delivery of fiber-optic network connectivity for AI cloud data centers, coordinating with ISPs, engineers, and construction teams to build and document high-capacity fiber pathways.
Own and manage the delivery of Nebius’s bare-metal and GPU cloud AI infrastructure to hyperscale customers, ensuring SLA compliance and smooth operations across data centers.
Build and run the core network infrastructure for a cloud platform powering AI workloads, defining reliability targets and automating operations to scale safely.
Builds and maintains network automation and observability tooling for a cloud platform powering AI workloads, using Go/Python to make large-scale network operations safe and scalable.
Coordinate AI-cloud customer lifecycles across Solutions Architecture, Post-Sales, and Support, turning feedback and incidents into actionable plans and improved processes.
Build and train vision-language-action models and reinforcement-learning policies for real-world robots, using JAX and distributed training to prototype sim-to-real transfer and dexterous manipulation.
Builds Tableau dashboards and KPI frameworks for security and leadership teams, translating data into actionable insights for a cloud AI platform company.
Build and run the Kubernetes-based infrastructure that powers Tavily’s agentic search API, including CI/CD, observability, and multi-region deployments handling billions of daily events.
Lead complex security investigations, mentor junior analysts, and improve SOC detection methods for a cloud AI platform company.
Oversee physical security projects for global data centers, coordinating teams and vendors to deliver secure, on-time infrastructure for an AI cloud platform.
Leads cross-functional AI infrastructure projects, coordinating model onboarding, region launches, and production delivery for a cloud platform powering AI/ML workflows.
Builds and maintains the backend systems that monetize Nebius Cloud, handling billing, payments, and revenue workflows across a distributed microservices architecture.
Builds the Capacity and Quota Management control plane that allocates GPU compute resources and enforces customer limits for Nebius’s AI cloud platform.
Designs and implements cloud infrastructure and MLOps solutions for AI teams, advising on GPU orchestration, Kubernetes, and IaC tools like Terraform.
Oversee physical security for colocation data centers, managing access control, surveillance, incident response, and compliance with standards like ISO 27001 and SOC 2.
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