Teams at Runware

Ensure reliability, performance, and resilience of Runware's distributed, GPU-backed production platform. Define SLIs/SLOs and observability, investigate incidents across services, databases, networking and queues, automate remediation and deployment safety, participate in on-call rotations, conduct RCA and implement long-term fixes, and collaborate on capacity planning and scaling.

Investigate complex platform, API, and infrastructure issues using logs, metrics, traces, and observability tools. Reproduce production bugs, collaborate with Engineering on root causes and fixes, improve developer experience through documentation and tooling, and design AI-assisted automations and operational workflows to scale support.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.