Senior Site Reliability Engineer

Stack

Responsibilities

• ▹Own and improve the reliability, availability and performance of critical production services
• ▹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 on-call rotation
• ▹Lead and contribute to incident reviews and RCAs, turning recurring failure modes into lasting improvements
• ▹Reduce operational toil through automation, automated remediation and improvements to deployment safety and resilience
• ▹Work with Engineering and DevOps on capacity planning, performance, scaling and architectural improvements

Requirements

• ▹Strong experience operating and troubleshooting production systems at scale in an SRE, Production Engineering, Platform Engineering or similar role
• ▹Strong understanding of distributed systems, comfortable debugging across applications, databases, queues, containers, networking and infrastructure
• ▹Experience designing and operating observability systems using metrics, logs and distributed tracing
• ▹Understanding of SRE principles including SLIs, SLOs, error budgets, capacity planning, incident management and reducing toil
• ▹Experience with Kubernetes, containers, IaC and automated deployment, plus the ability to write software and automation in Python, Go or PHP
• ▹Strong ownership of production problems and willingness to join the on-call rotation

Nice to have

• ▹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 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
• ▹Experience building automated scaling, capacity management or self-healing systems

Soft skills

What we offer

• ▹Remote-first collective, meeting in person twice a year
• ▹Core hours for collaboration, otherwise a free schedule
• ▹Real downtime after fast, intense release cycles

About the company

Runware builds high-performance infrastructure and products for fast, scalable inference across image, video and emerging modalities. Its Serverless platform lets customers deploy and scale their own AI models on production-grade GPU infrastructure.