22 Aug
|
SARVAM
|
Chennai
About Sarvam
About the Role
Sarvam runs a large, multi-vendor GPU fleet that serves two demanding workloads on the same physical infrastructure: training jobs that span hundreds of GPUs and must run uninterrupted for weeks, and inference services that must hold a flat p99 under production load. Keeping both healthy at once is a hard, specialized reliability problem, and it is the problem this team exists to solve.
This is not a Kubernetes administration role. We assume Kubernetes fluency as a baseline. The difficulty lies above and below it - in parallel filesystems under heavy checkpoint load, in RDMA fabrics that degrade quietly, in NCCL hangs whose root cause may be the network or the kernel, in driver and firmware drift across heterogeneous hardware, and in distributed training failures that masquerade as infrastructure faults.
When you apply, please indicate the area of focus that best matches your experience. Robust generalists are welcome; we will place you where your depth is most useful.
What You’ll Do
- Operate the GPU fleet end to end across training and serving - provisioning, observability, capacity, and fleet health.
- Hold a meaningful on-call rotation, write runbooks that hold up under pressure, and drive postmortems that produce durable fixes.
- Build the internal tooling the team relies on, rather than operating off-the-shelf systems alone.
- Partner with ML and platform teams to keep large runs alive and serving latency predictable.
What We're Looking For
- 5+ years in infrastructure or site reliability engineering, including 2+ years operating GPU clusters at scale.*
- Demonstrated on-call ownership of infrastructure that mattered, with a track record of postmortems that led to real change.
- Proficiency in Python or Go, used to build and maintain internal tooling.
- Working fluency across all five areas of focus below - enough to recognize, triage, and route a problem outside your specialty, even if the fix belongs to a teammate.
- For the
📌 Infrastructure Sre (Chennai)
🏢 SARVAM
📍 Chennai