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Browse Similar JobsAbout SigNoz
SigNoz is an open source alternative to DataDog, NewRelic. We help developers monitor their applications and troubleshoot any problem. We have got lots of interest from the dev community with 21000+ stars , 6000+ slack community members. Here's our Github repo We are backed by prominent angels & funds including Y Combinator.
About the role
Skills: Kubernetes, Amazon Web Services (AWS)
SigNoz is a global open source project with users in 30+ countries. We are building an open-source application monitoring which helps developers monitor their applications and troubleshoot problems, quickly. We have crossed 23000+ Github stars , 7000+ members in the slack community and 180+ 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
Founding team member opportunity - build support function from scratch
Path to product roles within the org
What we are looking for
This is not your typical support role. If you're looking for a classic tier-1 support person who escalates everything to engineering, you should stop reading now. We're looking for someone who is: Technical enough to solve real problems - you need to debug OpenTelemetry instrumentation issues, troubleshoot ClickHouse queries, and help customers optimize their observability setup without constantly escalating to engineering. Someone who can build support infrastructure from the ground up - you will create our knowledge base, establish processes, and set up tooling for a world-class support experience. Fast Learner and interest in technical topics Passionate about engaging with opensource and developers - you'll be active in GitHub issues, Slack discussions, and technical forums.
Who would be a good fit
1+ years experience in technical support or Devops role supporting technical audiences (SREs, Platform Engineers, DevOps teams)
Strong learning skills - you can quickly pick up new technologies and dive deep into complex technical problems
Hands-on experience with observability tools - Grafana, Prometheus, Jaeger, DataDog, or similar platforms
DevOps background - containerization (Docker, Kubernetes), infrastructure as code, and cloud platforms
Programming ability - can read and debug code in at least one language (Go, Python, JavaScript preferred)
Customer-focused mindset - you're excited about helping technical users succeed and removing blockers to adoption
Strong written communication - can explain complex technical concepts clearly to engineers
Who may not be a good fit
Candidates who are fresh out of college
Technology
ReactJS with Typescript for frontend
Go for writing services and processors
ClickHouse as the datastore
Opentelemetry as the instrumentation library
Supported deployment models - Docker, on K8s via Helm charts
Here's our architecture
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