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About the role
SigNoz is a global open source project with users in 30+ 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, 6000+ members in the slack community and 200+ contributors.
Why us?
Opportunity to work in a global dev infra product
Backed by YC and some of the prominent VCs in the Bay Area
We are completely remote. No offices
We're looking for someone who is:
Technical enough to design observability solutions - you'll work directly with customer engineering teams to design their OpenTelemetry instrumentation strategy, customize dashboards, and optimize for their specific use cases.
Excellent at technical documentation - you'll create custom integration guides, troubleshooting docs, and best practices documentation that engineering teams actually want to follow.
Capable of hands-on implementation - you'll directly contribute to customer codebases, help debug instrumentation issues, and ensure successful deployments rather than just providing guidance.
Product-minded - you'll identify patterns in customer deployments and work with our product teams to build better defaults, templates, and tooling.
Who would be a good fit
2-6 years experience in technical roles - DevOps, SRE, Platform Engineering, or Solutions Engineering backgrounds
DevOps/Platform engineering background - Containerization, Kubernetes, infrastructure as code, cloud platforms (AWS/GCP/Azure)
Strong programming skills - comfortable contributing to customer codebases in multiple languages (Go, Python, Node.js, Java)
Excellent technical writing - can create clear, actionable documentation that engineers actually use
Systems thinking - can understand complex distributed architectures and design monitoring strategies that scale
Who may not be a good fit
People who prefer working in isolation rather than directly with customers
People who struggle with technical writing or documentation
Candidates who avoid hands-on coding or technical implementation
