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Develop reliable cloud services on the hyperscaler platform, contributing to cloud infrastructure, databases, and monitoring systems. Must write reliable code with team-oriented skills.

The role involves leading the mk8s Core Team, managing technical projects, coaching engineers, and participating in hands-on coding and incident response.

The Principal Solutions Architect will lead presales, design AI/ML infrastructures, mentor other architects, and drive customer adoption for Nebius AI cloud solutions.

The Founding Enterprise Customer Success Manager will establish Tavily's customer success function in EMEA, guiding enterprise clients from onboarding to renewal and expansion while collaborating with internal teams and advocating for customer needs.

Build and operate a managed PostgreSQL service for AI workloads: develop control plane and lifecycle automation in Go, tune PostgreSQL internals and ecosystem tooling, create migration tooling, integrate vector search, run SRE practices (SLOs, observability, incident response), and work directly with customers on architecture and escalations.

Serve as the primary technical advisor for strategic GPU cloud customers: troubleshoot complex AI/ML issues, optimize GPU performance, guide deployments at scale, collaborate with sales and product teams, and translate customer needs into product feedback and solutions.

Work on YDB distributed storage and database systems to maximize performance on modern and legacy hardware (NVMe, HDD, DPUs). Reengineer components for low-latency, high-throughput workloads, profile and debug production systems, and design resilient distributed storage primitives. Collaborate on incident resolution and production deployments to support Nebius cloud services.

Build and maintain a distributed, fault-tolerant, high-performance block and filesystem storage system. Work on virtualization (virtio-blk, virtio-fs, QEMU, vhost-user), high-throughput VM-to-storage networking (TCP, RoCEv2/RDMA), and core storage features like replication, consensus, self-healing, and data migration. Debug and optimize performance-critical I/O paths while writing reliable, maintainable code in a collaborative team environment.

Serve as primary technical advisor for strategic GPU cloud customers, guiding design, deployment, and scaling of large-scale ML training and inference workloads. Troubleshoot complex AI/ML issues, optimize GPU performance, liaise with sales and product teams, and drive customer-aligned feature requests and solutions.