Backend Engineer
Summary
Build and operate large-scale distributed systems that ingest, store, and query telemetry data (metrics, logs, traces, RUM, profiles) at Kloudfuse, an observability platform. Work across a production stack of Go, Java, Kafka, Pinot, and Kubernetes, optimizing high-cardinality data via compression, downsampling, and tiering.
What you'll work on
Build and operate distributed systems that ingest, store and query telemetry at scale: metrics, logs, traces, RUM and profiles.
Make high-cardinality data fast and affordable through compression, downsampling, tiering and tenant isolation.
Work across the stack we run in production: Go, Java, Kafka, Pinot, Kubernetes.
What we look for
Strong, recent, hands-on experience building large-scale distributed systems.
Depth in the fundamentals.
Generalists who move across the system rather than staying in one lane.
Engineers who operate what they build and treat reliability as part of the job.
Comfort owning ambiguous problems end to end, from design through production.
Bonus
Prior work in observability, APM or monitoring.
Time-series or columnar storage internals: encodings, compression, cache behaviour.
How we work
Small team, short feedback loops, real ownership from week one.
You'll talk to customers, engineers debugging real incidents, and that shapes what you build.
We ship, then iterate; bias toward hands-on building over process.
Modern tooling is encouraged, including AI-assisted development.
Location: Cupertino / Remote (US)
Stack: Go, Java, Kafka, Pinot, Kubernetes
Skills
As published by ashby · 3 questions · 2 written answers
Basics
Name, Email, Resume, Location
Short answers (1)
- LinkedIn profile URL
Written answers (2)
- What are you proud of building? Name the system, your part in it, and the result.
- Describe a production issue you debugged end to end: what broke, how you found the cause, and what you changed.