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AI Summary
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 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 customer engineering function from scratch
What we are looking for
This 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 fit
3+ years experience in DevOps, Platform Engineering, or SRE roles working with production systems at scale
Strong learning skills - you can quickly pick up new technologies and dive deep into complex technical problems
Hands-on experience with observability tools - SigNoz, Grafana, Prometheus, DataDog, or similar platforms
Production Kubernetes experience - managing clusters, troubleshooting deployments, understanding networking and storage
OpenTelemetry knowledge - understanding of instrumentation, collectors, and distributed tracing concepts
Programming skills - can read, write, and debug code in Go, Python, or JavaScript
Cloud platforms expertise - AWS, GCP, or Azure with infrastructure automation experience
Customer-engineering mindset - enjoy helping other engineers solve technical problems
Who may not be a good fit
Candidates who are fresh out of college
DevOps engineers who only want to work on internal infrastructure
Those uncomfortable with open-source community engagement
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