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Staff DevOps Engineer

4 months, 3 weeks ago
United Kingdom
Full-time
Lead
DevOps Engineer
DevOps and Infrastructure
CI/CD DNS HTTP Linux Load Balancing Secrets Management Serverless TCP/IP TLS
Apply Now
RUNWARE

RUNWARE

RUNWARE provides an affordable API that enables AI developers to efficiently run image, video, and custom generative AI models without the need for extensive infrastructure or machine learning expertise.

Internet Software & Services
1-10
Founded 2023
View All Jobs 9

Description

  • Build and scale infrastructure for real-time AI inference across GPU fleets, bare-metal servers, and containerized production systems.
  • Help evolve the platform toward more elastic, on-demand infrastructure that can respond to customer traffic and model demand.
  • Improve the performance, reliability, and resilience of request entrypoints, inference services, queues, storage, load balancers, and networking.
  • Automate infrastructure operations, including provisioning, configuration, CI/CD, deployment safety, progressive rollouts, and rapid rollback.
  • Build and maintain the observability stack needed to detect issues early, understand capacity, and resolve problems before they affect customers.
  • Lead production operations, incident response, debugging, and post-incident improvements.
  • Strengthen infrastructure security and compliance through patching, secrets management, access controls, hardening, auditability, and documentation.

Requirements

  • Strong experience as a DevOps Engineer, SRE, Infrastructure Engineer, Platform Engineer, or in a similar role running production systems at scale.
  • Deep Linux knowledge and confidence debugging real production issues across networking, storage, performance, services, and system behavior.
  • Hands-on experience building automation, Infrastructure-as-Code, CI/CD pipelines, and deployment workflows.
  • Experience operating high-availability, low-latency, or high-throughput platforms where reliability and performance directly affect customers.
  • Strong networking fundamentals across TCP/IP, DNS, load balancing, routing, firewalls, proxies, TLS, and HTTP.
  • A calm and pragmatic approach under pressure, with strong communication, good judgment, and a bias toward automation over manual toil.
  • Experience operating GPU infrastructure for AI/ML inference, including NVIDIA drivers, CUDA, container runtimes, GPU monitoring, capacity planning, and workload isolation (bonus).
  • Familiarity with inference serving and optimization frameworks such as vLLM, TensorRT, Triton, or similar (bonus).

Benefits

  • Remote-first work environment with the option to work from home anywhere they can employ you.
  • Flexible hours outside core collaboration blocks.
  • Generous paid time off, including vacation, sick days, and public holidays.
  • Meaningful stock options.
  • Paid family leave, including maternity, paternity, and caregiver time.
  • Twice-yearly company retreats in inspiring locations.
  • Built-in downtime after major release cycles to unplug and recharge.

Interested in this position?

Apply directly on the company website

Apply Now

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