Technical Lead (Spark, Java)

Requirements

• 8-10+ years of professional software development
• Experience leading and delivering complex product enhancements
• We use Java/Scala/Python in projects; you should have a strong understanding of at least one of the following languages: Java, Scala, Python. And interested to learn the languages we’re using
• Experience with systems design, development
• Passionate about programming, clean coding habits, attention to detail, and focus on quality
• Strong oral and written communication skills
• Strong ability to research and solve problems independently without constant supervision
• Open-minded, desire to learn new things and build great products
• Experience with distributed systems
• (Desirable) Experience with SQL planners
• (Desirable) Experience with using/developing Apache Spark, Livy or other related technologies
• (Desirable) Experience with large-scale, distributed systems design and development with an understanding of scaling, performance, and scheduling
• Solid experience with at least one clouds
• (Desirable) Contributors to open-source projects

What the job involves

• Cloudera is seeking a Technical Lead, 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
• Design new features for Cloudera’s data engineering experience, and take them from prototypes to leading a team to deliver the feature in production at scale
• Contribute to Apache Spark, Livy
• Develop new features in Scala/Java/Python on modern platforms
• Gain expertise in distributed data processing, from SQL planners and optimizers, to data layout and table formats like Apache Parquet and Iceberg, to fault tolerance in distributed systems
• Gain a solid understanding and deep technical knowledge of components across the Cloudera Data Engineering Experience stack, but focusing on Iceberg and Spark, which you can utilize in your daily tasks
• Get to work on large-scale distributed systems, from 100s to 1000s of nodes, in production clusters
• Debug system-level deployment issues, root cause analysis, perform system test analysis, and resolve failures
• Work on improving internal infrastructure
• Collaborate with other team members and stakeholders
• You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that power CDP and keep 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