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Runware

Generative AI platform with fast inference

Senior Site Reliability Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeRemote in UK

About the Job

Requirements

  • Have strong experience operating and troubleshooting production systems at scale in an SRE, Production Engineering, Platform Engineering, or similar role.
  • Have a strong understanding of distributed systems and be comfortable debugging across applications, databases, queues, containers, networking, and infrastructure.
  • Have experience designing and operating observability systems using metrics, logs, and distributed tracing.
  • Understand SRE principles including SLIs, SLOs, error budgets, capacity planning, incident management, and reducing operational toil.
  • Have experience with Kubernetes, containers, infrastructure as code, and automated deployment practices, alongside the ability to write software and automation using languages such as Python, Go, or PHP.
  • Take strong ownership of production problems and be comfortable participating in an engineering on-call rotation, taking issues from initial investigation through to long-term remediation.

Responsibilities

  • Own and improve the reliability, availability, and performance of critical production services across the Runware platform.
  • Define and evolve reliability practices, including SLIs, SLOs, alerting, observability, and production-readiness standards.
  • Investigate complex production issues across distributed systems, APIs, networking, queues, databases, and GPU-backed workloads, participating in the engineering on-call rotation.
  • Lead and contribute to incident reviews and root cause analyses, turning recurring failure modes into lasting engineering improvements.
  • Reduce operational toil through automation, automated remediation, and improvements to deployment safety, recovery, and system resilience.
  • Work closely with Engineering and DevOps teams on capacity planning, performance, scaling, and architectural improvements as the platform grows.

Desired Qualifications

  • Experience operating high-throughput or low-latency APIs and distributed systems.
  • Experience with bare-metal infrastructure, GPU environments, or AI and ML workloads.
  • Experience with RabbitMQ or other distributed messaging and queueing systems.
  • Experience operating MySQL, Redis, ClickHouse, or similar production data systems.
  • Experience with global traffic management, load balancing, CDN platforms, and hybrid infrastructure environments.
  • Experience building automated scaling, capacity management, or self-healing systems.

About the Company

Runware

Generative AI platform with fast inference

Runware.ai provides a fast, cost-effective platform to deploy AI-generated content through an API that hides infrastructure complexity. It runs AI workloads on custom hardware in renewable-energy data centers using the Sonic Inference Engine, with real-time WebSocket connections for low-latency, scalable performance. It differentiates itself with a proprietary engine, dedicated hardware, built-in redundancy, autoscaling, GPU allocation, and access to over 188,000 models, enabling seamless integration without ML expertise. Its goal is to democratize access to generative AI for businesses by making it easy to add AI capabilities without heavy hardware costs or specialized know-how.

Company size
51-200
Company stage
Series A
Total funding
$66M
Headquarters
London, United Kingdom
Founded
2023

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