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A leading tech company in Madrid is seeking a Staff Software Engineer to build and maintain large-scale replication systems on the Cloudera Data Platform. The ideal candidate will possess a strong backend engineering skill set and experience in Java, Scala, or Kotlin, with a focus on distributed systems. This role emphasizes innovation and collaboration across teams, providing an opportunity to drive advancements in enterprise data solutions. Competitive benefits and a flexible work environment are offered.
Business Area: Engineering
Seniority Level: Mid-Senior level
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.
The Replication Manager team is seeking passionate developers to enhance replication support for the Cloudera Data Platform. The team’s mission is to provide a seamless experience for customers moving data and associated entities to support migration, replication, and disaster recovery.
Replication Manager enables customers to replicate data across data centers or between on-premises and cloud environments. This includes data in HDFS, Ozone, or cloud buckets; Hive, HBase, or Iceberg tables; Ranger permissions; and Atlas lineage. Datasets range from terabytes to petabytes, with challenges such as millions of directories, large file sizes, and near real‑time HBase WAL replication.
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.
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