Sr Site Reliability Engineer
Remote (India) · Senior · Remote
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Job description
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
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