Senior Staff Engineer - NFQE

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, were 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 Cloudera Quality Engineering (QE) Team is looking for an exceptionally talented Senior Staff Software Engineer in QE to drive continuous improvement for our Data Warehousing products.

In this role, you will lead the delivery of high-quality features and releases while mastering the "Cloudera Stack"—including Apache Hive, Impala, Iceberg, and Hue. You will operate at the cutting edge of cloud technology, working across hyperscale providers (AWS, Azure) and container orchestration platforms like Kubernetes (K8s), OpenShift (OCP), and Rancher (RKE).

As a Senior Staff Quality Engineer you will:

• Architect Automation: Design, build, and maintain sophisticated automated testing frameworks and tools using Python (Pytest) or Java (TestNG).
• Drive Quality Strategy: Create comprehensive test plans and methodologies for complex features involving the Big Data ecosystem.
• Master CI/CD: Design and maintain CI/CD pipelines to enable fast-paced, "low-touch" product releases.
• Debug Distributed Systems: Perform deep-dive debugging of distributed systems, primarily in Linux environments.
• Performance Engineering: Build testing frameworks to simulate load and analyze performance using tools like JMeter, Gatling, or Locust.
• Collaborate Globally: Partner closely with Engineering and Product teams to translate new feature requirements into robust test scenarios.
  
  
  

• 10+ years of experience in test development, automation frameworks, and internal tool development.
• Back-end Expertise: Strong knowledge of testing Web Services, Databases, or large-scale distributed systems.
• Observability & Monitoring: Proficiency in analyzing system behavior using stacks like Prometheus/Grafana, Datadog, or OpenTelemetry.
• DevOps Fluency: Familiarity with Docker, Kubernetes, Ansible, Jenkins, and GitHub.
• Technical Depth: A sound understanding of SQL, query performance, and relational database transactions.
• Core Skills: Excellent communication skills and the ability to thrive in a fast-paced, high-stakes environment.
  
  
  

• Big Data Ecosystem: Working knowledge of Apache Hive, Impala, or distributed engines like Spark and Trino.
• Cloud Infrastructure: Direct experience with Public Cloud (AWS/Azure) or Hybrid Cloud (OpenShift) configurations.
• Open Source Engagement: Prior experience or interest in engaging with the Apache open-source community.
  
  
  

• Complex Problem Solving: Work on problems involving all aspects of data processing: Batch, SQL, Security, and Governance.
• Hybrid Cloud Exposure: Gain deep experience with both public cloud (AWS/Azure) and private cloud stacks (OpenShift/RKE).
• Impact at Scale: Deliver quality for products that manage exabytes of data for Fortune 500 companies.
  
  
  

• 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