Staff Site Reliability Engineer

ABOUT THE ROLE

We're looking for a Staff Site Reliability Engineer who is equally at home writing production software and running the infrastructure it lives on — and who wants to take ownership of one of the hardest, highest-leverage problems on our platform: intelligently managing a large fleet of GPU-backed models.

We run nearly 30 models across heterogeneous hardware, and keeping that fleet fast, reliable, and cost-effective is a serious engineering challenge. You'll build the GPU management and scheduling platform that sits at the center of it — collecting utilization and load metrics, interpreting what they actually mean, and using them to make real-time decisions about admission control and scaling. The goal: route and schedule inference calls so we use our capacity efficiently without exceeding it, and scale model replicas up and down automatically as demand shifts.

This is a senior role for someone with a decade in the field who can move fluidly between systems engineering and software development, and who is excited to own a complex, evolving system end to end.

WHAT YOU'LL DO

- Design and build our GPU management and scheduling platform — the system that decides when, where, and how inference calls run across a fleet of ~30 models on heterogeneous hardware

- Build the metrics pipeline that collects GPU load and utilization data, and the logic that turns those signals into decisions

- Implement admission control to protect capacity — deciding when to accept, queue, or shed inference requests so we operate within fleet limits

- Build autoscaling that adjusts the number of model replicas in response to real-time demand and utilization

- Develop cloud orchestration systems and operators in Python and Go to manage the model fleet

- Architect and operate scalable, fault-tolerant, secure production systems on AWS, GCP, or Azure

- Design and build infrastructure automation and deployment pipelines (Terraform, CI/CD) as first-class software

- Stand up and maintain monitoring, logging, and alerting that keep the platform reliable and performant

- Develop and enforce security and compliance policies appropriate to a healthcare AI platform

- Partner with engineers and research scientists to diagnose and resolve complex infrastructure, deployment, and operational issues

- Mentor engineers and raise the technical bar across the team

We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Gurugram. This role will also require engaging with a US based team requiring some flexibility for overlapping hours with California.

WHAT YOU BRING

Must-Have

- 10+ years of professional experience across site reliability / DevOps engineering and software engineering

- Computer Science Degree Required from a top CS program.