Senior Site Reliability Engineer

Runware is building high-performance infrastructure and products to power the worlds intelligence. Our platform enables developers and businesses to run fast, scalable inference across image, video and emerging modalities, while our Serverless platform allows customers to deploy and scale their own AI models on production-grade GPU infrastructure.

As a Site Reliability Engineer at Runware, you will help ensure these systems remain reliable, performant and resilient as we scale. This is a highly technical, hands-on role working across software, infrastructure and production operations to improve observability, reduce incidents, eliminate operational toil and build lasting improvements across complex distributed systems.

What you’ll do

Own and improve the reliability, availability and performance of critical production services across the Runware platform

Define and evolve our 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 our engineering on-call rotation

Lead and contribute to incident reviews and RCAs, 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

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 are 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, IaC 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 are comfortable participating in an engineering on-call rotation, taking issues from initial investigation through to long-term remediation

Bonus

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

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.