Sr Site Reliability Engineer

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