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Cloudera is seeking a Senior Staff Software Engineer in Ireland, focusing on distributed systems and working with enterprise-grade data solutions. In this role, you'll design features and enhance the data engineering experience, building systems that process petabytes of data.
Ideal candidates have a B.Sc./M.Sc. in a related field, 6+ years in software development, and proficiency in Java, Scala, or Python. Expect a collaborative environment to innovate on data solutions and tackle complex challenges.
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 Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.
Engineering
Mid-Senior level
Cloudera is seeking a Senior Staff Software Engineer, Spark (Java) with strong distributed systems expertise to work on the Cloudera distribution of Apache Spark and Livy. The role involves building enterprise‑grade systems for customers running Spark on thousands of nodes and processing petabytes of data.
We are looking for a passionate engineer eager to enhance a product already supporting major production systems and to drive the next‑generation Data Engineering experience. You will collaborate with a distributed team across the United States and Hungary, including multiple Apache Spark committers.
This role is not eligible for immigration sponsorship or relocation.
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi‑cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key; you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
EEO/VEVRAA