Backend Engineer

Kloudfuse; Cupertino, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Kloudfuse is seeking engineers to build and operate distributed systems that ingest, store and query telemetry at scale, including metrics, logs, traces, RUM and profiles.

You will work across the stack in production using Go, Java, Kafka, Pinot and Kubernetes, focusing on reliability and performance. The team emphasizes real ownership from week one and direct customer interaction to shape what you build.

Qualifications

• 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.

Responsibilities

• Build and operate distributed systems that ingest, store and query telemetry at scale.
• 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.

Skills

Distributed systems

Reliability engineering

Go language

Java

Tools

Kubernetes

Kafka

Pinot

Job description

Build and operate the distributed systems that ingest, store and query telemetry at the scale our customers actually run.

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.