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Senior Staff Engineer

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Cloudera

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Location:
United States , Remote

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Lead the Cloudera Data Engineering Spark experience for all customers using Cloudera Data Services, Machine Learning services, and more. This high-impact IC role offers the opportunity to shape the future of Cloudera’s Spark space across multiple cloud environments, impacting thousands of customers worldwide.

Job Responsibility:

  • Gain deep technical knowledge across the Cloudera Data Engineering Experience stack, with a strong focus on Spark, and apply this expertise in your daily work
  • Build new features and improve Spark scale and performance to deliver a seamless experience for Cloudera’s data engineering customers
  • Work with a team of talented Spark and infrastructure engineers. Help hire and mentor engineers while supporting their career growth
  • Drive architecture and design discussions, providing strong technical direction for the team
  • Collaborate with product, engineering, and cross-functional partners, leading the delivery of several large, critical features in Cloudera’s Spark space
  • Work on large-scale distributed systems, ranging from hundreds to thousands of nodes in production clusters
  • Bring passion for programming, clean coding practices, attention to detail, and a strong focus on quality

Requirements:

  • BE, MS, or Ph.D. in Computer Science or equivalent experience
  • 8+ years of experience as a software engineer building infrastructure systems
  • Experience developing Apache Spark or related technologies
  • Experience as a technical lead, from proposing new features to coordinating work across team members through product delivery
  • Ability to drive architecture and design discussions and provide technical direction
  • Strong understanding of at least one of the following languages: Java, Scala, Rust, C++, or Python
  • Excellent collaboration and communication skills

Nice to have:

  • Experience with one of the public clouds (AWS, Azure, GCP) and/or private cloud platforms (OpenShift, Rancher)
  • Experience with concurrent and distributed systems, especially on the JVM
  • Experience building and maintaining containerized applications on Kubernetes
  • Contributions to open-source projects
What we offer:
  • 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

Additional Information:

Job Posted:
February 10, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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