Top Tech Jobs & Startup Jobs

Design, build, and maintain backend systems for metrics and monitoring, collaborate across teams, and debug production incidents.

Lead and manage the data center IT support team to ensure reliable server and network operations. Oversee hardware troubleshooting, installations, upgrades and RMAs, collaborate with internal teams and contractors, maintain documentation, plan recurring IT tasks, and support asset management and project delivery for a large-scale data center site.

The Key Customers Solutions Architect supports GPU Cloud service customers by optimizing AI solutions, managing GPU workloads, and enhancing customer relationships through technical guidance.

Own the vision and backlog for Nebius storage services (block, file, parallel/HPC, object). Define technical requirements (data paths, consistency, replication, erasure coding), make performance/durability trade-offs, coordinate cross-team initiatives, and ensure storage meets durability, availability, scalability, and cost targets for AI/ML and HPC workloads.

Serves as the primary technical partner for customers deploying and operating GPU clusters and AI infrastructure. Responsibilities include configuring and tuning GPU environments, troubleshooting hardware, networking, operating system, and cluster issues, coordinating with internal engineering teams, translating requirements into architectures and execution plans, documenting solutions, and identifying performance and reliability improvements.

Lead advanced hardware diagnostics and RMA lifecycle management for enterprise servers in production data centers. Perform firmware/BMC/BIOS troubleshooting, root cause analysis, vendor warranty coordination, validate replacements, develop diagnostic playbooks, and drive reliability improvements across the fleet.

Lead mechanical engineering evaluations for data center opportunities, assessing HVAC, cooling, chiller, CRAH/CRAC, liquid cooling, and critical equipment systems. Conduct facility due diligence, validate capacity and design assumptions, evaluate vendors and deployment risks, and provide feasibility and Go/No-Go recommendations. Support mechanical design strategies, equipment selection, commissioning, and construction readiness while partnering with engineering teams, consultants, and vendors to establish scalable standards for hyperscale and AI infrastructure.

Design and review mechanical systems for high-density GPU data centers across APAC. Evaluate air- and liquid-cooled architectures, assess cooling capacity, airflow, and power density, coordinate with electrical, construction, commissioning and operations teams, and ensure maintainability and alignment with Nebius standards.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Design, implement, and operate retrieval and knowledge layers for a search vertical. Build ingestion, indexing, entity resolution, structured extraction, and evaluation pipelines. Optimize hybrid (dense+sparse) retrieval, ranking, freshness, and trust metrics, and collaborate with crawling, indexing, and ML teams to improve relevance and production performance.