Sr Site Reliability Engineer

About SigNoz

SigNoz is an open-source observability platform that helps modern engineering teams monitor, debug, and optimize their applications with deep visibility into metrics, traces, and logs — all in one place. We're built natively on OpenTelemetry and offer both self-hosted and cloud options, so teams can run observability the way they want, without vendor lock-in.

We are growing fast and building core developer infra products. And we are not fooling around:

27,000+ GitHub stars

800+ customers

7,000+ members in our Slack community

Role: Sr Site Reliability Engineer (SRE)

We're looking for an SRE to own the reliability, scalability, and operability of the SigNoz cloud platform. You'll keep a petabyte-scale observability system fast and dependable — making sure the people who trust us to watch their systems can always trust ours. The platform team handles infra, scalability of SaaS, ingest pipelines, staging environments, automation, and the operational backbone of the product.

This is a deeply hands-on role for someone who understands what actually breaks in production at scale — and enjoys fixing it for good.

What we're looking for

Kubernetes at scale — not just "I've deployed to k8s," but real fluency with the nuances and gotchas: resource tuning, autoscaling behavior, networking, stateful workloads, upgrades, and the failure modes that only show up under load

Working knowledge of ClickHouse — operating it, tuning queries, and understanding its behavior at scale — is a strong plus

Knowledge of Golang is a plus (most of our stack and tooling is in Go)

Familiarity with OpenTelemetry and running large-scale data ingest pipelines is a plus

What you'll work on

You'll work with a high-caliber team across areas like:

Reliability of the SigNoz cloud platform: SLOs/SLIs, error budgets, incident response, and on-call practices that don't burn people out

Scaling the ingest path — making it robust to bursts while maintaining data freshness

SaaS auto-scalability and capacity planning across a petabyte-scale system

Operating and tuning ClickHouse and the data layer for performance and cost

Kubernetes infrastructure: cluster operations, upgrades, multi-tenancy, and the automation that keeps it boring

Observability of SigNoz itself — we dogfood our own product, so you'll help make it world-class

Infrastructure-as-code, CI/CD, and the tooling that lets a small team operate big systems

What will make you successful

5–8 years in SRE, infrastructure, or platform/backend roles operating production systems at scale

Deep, practical Kubernetes experience — you know where the bodies are buried

Strong grasp of distributed systems failure modes, performance debugging, and capacity planning

Comfortable in code (Go preferred) — you automate and fix things, not just configure them

Loves open source — ideally with prior contributions to OSS projects (any size)

Comfortable in a high-ownership, fast-moving, remote-first environment

Strong communication — can write clear runbooks and tech docs and explain trade-offs

Nice-to-haves

Past experience on platform/infra/SRE teams of Series B+ startups

Hands-on experience operating ClickHouse, Kafka, or similar high-throughput data systems

Experience in observability (monitoring / logging / tracing) and with OpenTelemetry

Why you'll love working at SigNoz

Work on a globally used open-source project that engineers actually love

Huge scope and ownership — your work directly shapes how teams adopt SigNoz

Collaborate with a high-caliber team who just can't stop shipping

Remote-first, async-friendly culture

Opportunity to help define the future of open-source observability