SigNoz, a global open-source project building an application monitoring platform (Observability), is hiring a Technical Support Engineer. This is a highly technical role where you will be expected to solve real problems without constant escalation to engineering, focusing on debugging instrumentation, troubleshooting queries, and optimizing customer observability setups.

This is a Full-time, Remote (US-based) position with a salary range of $100K – $150K. This is a chance to be a founding team member for the support function.

Role Summary and Technical Support Mandate

This is explicitly not a typical Tier-1 support role. You will be joining a YC-backed global open-source product and tasked with both direct, deep technical problem-solving and building the entire support infrastructure from scratch.

What You Will Contribute:

• Deep Technical Problem Solving: Debug OpenTelemetry instrumentation issues, troubleshoot ClickHouse queries, and optimize customer observability setups.
• Support Infrastructure Buildout: Create the knowledge base, establish support processes, and set up tooling for a world-class support experience from the ground up.
• Community Engagement: Be passionate about engaging with the open-source community, being active in GitHub issues, Slack discussions, and technical forums (SigNoz has 23,000+ GitHub stars).
• Path to Product: This role offers a path to product roles within the organization.

Required Experience and Technical Qualifications

The ideal candidate has a strong DevOps background, hands-on experience with observability tools, and the technical aptitude to act as an extension of the engineering team.

• Experience (Mandatory):
  • 1+ years of experience in a technical support or DevOps role supporting technical audiences (SREs, Platform Engineers, DevOps teams).
  • Strong learning skills to quickly pick up new technologies and dive deep into complex technical problems.
• Technical Expertise:
  • Hands-on experience with observability tools (Grafana, Prometheus, Jaeger, DataDog, or similar platforms).
  • DevOps background, including containerization (Docker, Kubernetes), infrastructure as code, and cloud platforms (AWS).
  • Programming ability to read and debug code in at least one language (Go, Python, or JavaScript preferred).
• Soft Skills: Strong written communication skills to clearly explain complex technical concepts, and a customer-focused mindset, excited about technical users’ success.