Runware logo
Runware

Generative media in the blink of an API.

Staff Software Engineer – Serverless

Full-stack EngineerSoftware EngineerFull TimeRemoteLeadTeam 11-50Since 2023H1B No SponsorCompany SiteLinkedIn

Location

United Kingdom

Posted

91 days ago

Salary

0

Seniority

Lead

Job Description

Staff Software Engineer – Serverless

Runware

• Build the core systems behind Runware’s serverless platform, including workload execution, routing, scheduling, isolation and scaling leveraging our inference engine • Make it simple for developers to deploy models and run AI workloads without managing GPUs, servers, queues or infrastructure through a simple SDK interface • Design and improve the control plane for serverless execution, including APIs, workers, lifecycle management, retries and failure handling • Work closely with our infrastructure and ML teams to improve workload startup time, GPU utilisation, model warm-up, caching and placement • Build observability that makes serverless workloads easy to monitor, debug and operate at scale globally • Lead the technical design, mentor other engineers and help define the engineering standards for a new product area

Job Requirements

  • Strong experience as a Staff Engineer, Senior Software Engineer, Backend Engineer, Platform Engineer or similar
  • Experience building backend services, distributed systems, developer platforms or workload orchestration systems
  • Strong understanding of async processing, queues, scheduling, retries, back pressure and failure handling
  • Comfortable working across APIs, control planes, workers, databases and observability systems
  • Strong engineering fundamentals in one or more backend languages such as Python, Go or similar
  • Good judgement around trade-offs between reliability, latency, scale, cost and developer experience
  • Clear communication, strong ownership and the ability to lead technical direction in a fast-moving environment
  • Nice to have
  • Experience building serverless platforms, job execution systems, container platforms or compute orchestration systems
  • Experience with GPU-backed workloads, AI/ML inference, model serving, batch processing or high-performance compute
  • Familiarity with technologies such as vLLM, TensorRT, Triton, Kubernetes, Nomad or Knative
  • Experience improving workload performance through batching, autoscaling, model warm-up, caching, request routing or queue management
  • Experience with multi-tenant isolation, sandboxing, quotas, rate limits, resource accounting or usage-based billing

Benefits

  • Generous paid time off – vacation, sick days, public holidays
  • Meaningful stock options – share in the upside you create
  • Remote-first setup – work from home anywhere we can employ you
  • Flexible hours – own your schedule outside core collaboration blocks
  • Family leave – paid maternity, paternity, and caregiver time
  • Company retreats – twice-yearly gatherings in inspiring locations

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