Business Area:
EngineeringSeniority Level:
DirectorJob 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.
Cloudera is seeking an experienced Principal Engineer with strong distributed systems expertise to work on the Cloudera distribution of Apache Spark. We are looking for senior engineers with experience in large-scale, distributed systems and data processing to help build our enterprise-grade system, designed for customers running Spark on thousands of nodes and processing petabytes of data.
We are looking for a passionate individual that is ready to be a team lead for a team that is already supporting production systems at many of the biggest companies – and is looking to expand and take on even more projects to drive the next gen Data Engineering experience. You will be working with a distributed team, spread across the United States and Hungary, including multiple committers on Apache Spark.
As a Principal Software Engineer, you will:
Architect, design, and implement resilient and scalable solutions for distributed data processing at massive scale, with a focus on fault tolerance, performance optimization, query planning, and resource management
Take ownership of critical distributed systems components, solving complex challenges related to network communication, concurrency, data consistency, and system reliability across clusters of thousands of nodes
Develop advanced monitoring, debugging, and performance analysis tools for large-scale distributed systems.
Act as a tech lead for Cloudera’s Spark team
Work with and contribute to the latest open source technologies, including Apache Spark, Iceberg, and Parquet
Develop new features in Scala/Java a modern platforms
Gain a solid understanding and deep technical knowledge of components across the Cloudera Data Engineering Experience stack, but focusing on Iceberg and Spark
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
We are excited about you if you have:
Bachelor’s degree in Computer Science or equivalent, and 10+ years of experience; OR Master’s degree and 6+ years of experience; OR PhD and 4+ years of experience
Experience with systems design and development specifically for large-scale distributed environments
Experience leading and delivering complex product enhancements.
We use Java and Scala in projects, you should have a strong understanding of these two languages.
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
(Most importantly) Open-minded, desire to learn new things and build great products.
You may also have:
Experience with large-scale, distributed systems design and development with an understanding of scaling, performance, and scheduling
In-depth understanding of distributed query processing and planning
Experience with using/developing Apache Spark or other related technologies.
In-depth understanding of distributed systems concepts like consensus algorithms, distributed transactions, and fault tolerance
Experience working with query automated query optimization
Solid experience with at least one cloud service (AWS, Azure, GCP, OpenShift)
Contributors to open-source projects.
This role is not eligible for immigration sponsorship
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Paid Volunteer Time
Employee Resource Groups
EEO/VEVRAA
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