Senior DevOps Engineer

About the role

What you’ll do

Requirements

• Strong experience as a DevOps Engineer, SRE, Infrastructure Engineer, Platform Engineer or similar, with a track record of running production systems at scale
• Deep Linux knowledge and confidence debugging real production issues across networking, storage, performance, services and system behaviour
• Hands-on experience building automation, Infrastructure-as-Code, CI/CD pipelines and deployment workflows that make infrastructure safer and easier to operate
• 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 judgement 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
• Familiarity with inference serving and optimisation frameworks such as vLLM, TensorRT, Triton or similar

Bonus

Benefits

• We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.
• We move quickly and hold a high bar, but we also believe sustainable performance matters. After major releases and milestones, we create space for the team to properly unplug, recharge and come back with the energy to tackle what's next.
• 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

Preferred Qualifications

• Bonus

Responsibilities

• Build and scale the infrastructure that powers real-time AI inference across GPU fleets, bare-metal servers, serverless and containerised production systems
• Help evolve Runware’s platform toward more elastic, on-demand infrastructure that can scale quickly with customer traffic and model demand
• Make Runware faster, more reliable and more resilient by improving the critical paths behind our request entrypoints, inference services, queues, storage, load balancers and networking layer
• Automate the hard parts of infrastructure operations, from provisioning and configuration through to CI/CD, deployment safety, progressive rollouts and rapid rollback
• Build the observability backbone for a high-performance AI platform, with the signals needed to spot issues early, understand capacity and fix problems before customers feel them
• Play a leading role in production operations, incident response, debugging and post-incident improvements, helping us turn operational challenges into a stronger platform
• Strengthen the security and compliance foundations of our infrastructure through patching, secrets management, access controls, hardening, auditability, documentation and repeatable operational processes