Staff Software Engineer- Data Platform Engineering - cloudera

Business Area:

Seniority 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.

The Leading Emergent Engineering Taskforce (LEET) is a new, agile operational unit designed to execute on Cloudera’s most critical strategic initiatives. Operating as an "empowered pod," we bridge the gap between abstract requirements and real-world execution, tackling both complex customer integrations and high-impact internal engineering projects. We move with the velocity of a startup while leveraging the massive scale of the Cloudera Data Platform.

We are looking for a Staff Software Engineer with strong enterprise data platform experience to help evolve Cloudera’s hybrid data and AI platform.

In this role, you will design and build software capabilities for large-scale data workloads and distributed systems. You will bring expertise in how enterprise data platforms are built and operated in production, and apply that knowledge to solve complex engineering challenges across data processing, storage, and cloud-native environments.

This role is ideal for an engineer who enjoys working on challenging distributed systems problems, understands enterprise data workflows, and wants to influence the evolution of a leading hybrid data platform.

As a Staff Software Engineer you will work on:

Data Platform Engineering:

Design, develop, and improve software capabilities that enhance Cloudera’s data platform.

Build solutions for large-scale data processing, analytics, and AI-enabled workloads.

Apply expertise in enterprise data architectures and workflows to solve complex platform challenges.

Contribute to the evolution of a hybrid data platform operating across on-premises and public cloud environments.

Distributed Systems & Cloud-Native Engineering:

Build reliable and scalable software for distributed data workloads.

Solve complex engineering challenges involving scalability, performance, reliability, concurrency, and fault tolerance.

Work with cloud-native technologies and containerized environments.

Debug complex issues across application, runtime, storage, and networking layers.

Product Innovation & Collaboration

Partner with engineering, product, and field teams to understand real-world platform challenges and identify opportunities for improvement.

Translate technical insights into scalable engineering solutions and product capabilities.

Prototype and evaluate approaches to emerging data and AI platform needs.