Staff Software Engineer, Anywhere Cloud (Rust)

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Ready to take cloud innovation to the next level? Join Cloudera’s Anywhere Cloud team and help deliver a true “build your own pipeline, bring your own engine” experience. enabling data and AI workloads to run anywhere, without friction or vendor lock-in.

We take the best of the public cloud- cost efficiency, scalability, elasticity, and agility and extend it to wherever data lives: public clouds, private data centers, and even the edge. Powered by Kubernetes, our hybrid architecture separates compute and storage, giving customers maximum flexibility and optimized infrastructure usage.

We are looking for a Staff Software Engineer to design and build high-performance infrastructure for Anywhere Cloud (AWC). AWC is Cloudera's Kubernetes-native platform for deploying data services onto any cluster, including air-gapped environments. The systems layer handles credential brokering, protocol-level proxying, request signing, and distributed log collection. These are Rust services deployed on Kubernetes where correctness and latency matter equally.

This is not a feature-engineering role. You will own infrastructure where a subtle bug means a security bypass and a naive implementation means unbounded memory growth. You will set the technical direction for performance-critical services, mentor engineers on systems thinking, and provide the low-level capabilities that the rest of the platform depends on.

As a Staff Software Engineer you will:

• High-Performance Service Development: Build and own Rust-based infrastructure services (reverse proxies, credential brokers, log collectors) that sit in the data path. Ship end-to-end from design doc to production.

• Correctness in Security-Critical Code: Implement and verify authentication protocols and access control enforcement. Write thorough tests (including property-based and fuzz testing) for code where bugs have security implications.

• Systems Architecture: Design new infrastructure components. Define module boundaries, memory budgets, streaming patterns, and graceful shutdown semantics. Document tradeoffs clearly.

• Observability: Build distributed telemetry and log collection systems. Instrument services with