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.

At SigNoz, you will be building a world-class deep tech infra product. We are building an open-source observability platform. You will be building a system that can handle 1Mn+ events per sec. You will be part of the first few hires in our team and will have the opportunity to own a significant part of the product.

Here's our Github repo

Why us?

• Work on an open-source product. Engage with the community. Evangelize the product. Build your GitHub profile
• Work with high volumes of data and real-time applications. There are some real perf challenges in doing this well you would love to solve
• Our stack includes Docker, Kubernetes, Helm, Golang, OpenTelemetry, ClickHouse
• Backed by Y Combinator and some great angel and Bay Area based VCs

Who would be a good fit

• ✅ 3-8 yrs experience in backend engineering in Go
• ✅ You don’t only think about writing scalable code, but how it solves customers problems
• ✅ Experience in Java is a plus
• ✅ You should be comfortable with locks/channels/concurrency used in golang
• ✅ Hands-on experience working with queries on billions of records and optimizing indexes
• ✅ Knowledge of design patterns and best practices. He/she will be doing code reviews of PRs

Next steps

Seems like something right up your alley?

Please email your CV and an optional intro note to me at [hiring at signoz dot io]. Feel free to include links to your GitHub, LinkedIn, Twitter, or blog posts.

Our process involves a short initial exploratory chat, followed by three interviews/discussions. The aim is for both sides to learn more about each other. The timeline is ~10 days unless you need more time.

• 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