AI infrastructure with on-demand GPUs and serverless compute. Run training, inference, and batch workloads on the cloud with Runpod. Backed by AI Grant.
About the role
Increase platform uptime and reduce incident frequency and duration Improve MTTR through better tooling, automation, and runbooks
What they're looking for
- 5+ years of experience in SRE, Reliability Engineering, or Production Engineering
- Strong Linux systems and Networking expertise
- Experience managing containerized production systems
- Strong understanding of distributed systems and failure modes
- Experience defining and managing SLIs/SLOs
- Proven incident response and postmortem leadership experience
More about this role
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers .
The Reliability team owns the availability, performance, and operational excellence of Runpod’s global platform. While infrastructure teams build the systems, the Reliability team ensures those systems remain resilient, observable, and scalable under real-world production conditions.
Defining and enforcing reliability standards across engineering
Designing incident response processes and improving...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs