Forward Deployed Engineer (Remote) (India time zones)

About SigNoz

Open source alternative to DataDog

Tech

- ReactJS with Typescript for frontend - Go for writing services and processors - ClickHouse as the datastore - [Opentelemetry](https://opentelemetry.io) as the instrumentation library - Supported deployment models - Docker, on K8s via Helm charts Here's our architecture 

The role

**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 22000+ [Github stars](https://github.com/signoz/signoz), 6000+ members in the slack community and 150+ 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 * Work directly with engineering teams at high-growth companies **We're looking for someone who is:** * **Technical enough to architect observability solutions** - you'll work directly with 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 * **Strong learning skills** - can quickly understand new customer environments and adapt solutions accordingly **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 * Those who prefer following established processes rather than creating new solutions

Skills

• Kubernetes