DevOps Engineer - Support

SigNoz is a global open source project with users in 50+ countries. We are building an open-source observability platform which helps developers monitor their applications and troubleshoot problems, quickly.In less than a year of our launch, we have reached 23000+ Github stars, 7000+ members in the slack community and 180+ contributors.Why us?Opportunity to work in a global dev infra productBacked by YC and some of the prominent VCs in the Bay AreaWe are completely remote. No officesFounding team member opportunity - build customer engineering function from scratchWhat we are looking forThis is not your typical DevOps role. If you're looking for someone to just manage infrastructure without customer interaction, you should stop reading now.We're looking for someone who is:Technical enough to solve complex distributed systems problems - you need to debug OpenTelemetry instrumentation issues, optimize ClickHouse performance, troubleshoot Kubernetes deployments, and architect solutions for observability at scale.Customer-focused with engineering mindset - you will work directly with platform teams and SREs, helping them implement observability solutions and solve technical challenges they're facing.Great at building infrastructure and processes - you will create tooling, automation, and processes that help both our customers and internal teams operate more efficiently.Someone who can scale technical operations - you will build the foundation for customer engineering function and grow into leadership as we scale.Comfortable with community engagement - you'll contribute to our open-source project, engage in technical discussions, and help other engineers in the observability space.Who would be a good fit3+ years experience in DevOps, Platform Engineering, or SRE roles working with production systems at scaleStrong learning skills - you can quickly pick up new technologies and dive deep into complex technical problemsHands-on experience with observability tools - SigNoz, Grafana, Prometheus, DataDog, or similar platformsProduction Kubernetes experience - managing clusters, troubleshooting deployments, understanding networking and storageOpenTelemetry knowledge - understanding of instrumentation, collectors, and distributed tracing conceptsProgramming skills - can read, write, and debug code in Go, Python, or JavaScriptCloud platforms expertise - AWS, GCP, or Azure with infrastructure automation experienceCustomer-engineering mindset - enjoy helping other engineers solve technical problemsWho may not be a good fitCandidates who are fresh out of collegeDevOps engineers who only want to work on internal infrastructureThose uncomfortable with open-source community engagement