Senior Software Engineer - QE

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, 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.

Team Overview The Anywhere Cloud (AWC) team is building Cloudera’s next-generation unified control plane.

We are moving beyond traditional UI-driven workflows to an “AI-First” architecture.

AWC enables the deployment of Data Services (like Spark, Trino, and Cloudera AI) across hybrid and multi-cloud environments. Our platform orchestrates complex Kubernetes infrastructures, foundational services (Service Mesh, Auth, Logging), and data engines.

The Role

As a Senior Software Engineer in Test, you will not just write tests; you will architect the automation framework and tools that validates a highly distributed, multi-cluster control plane. You will own the test strategy for AWC—validating it both as an application installed via Taikun and as a platform that orchestrates other clusters. You will define how we verify Zero-Trust security models, API-first contracts, and cross-cluster resource management.

As a Senior Software Engineer, you will:

• Design and execute test plans validating the end-to-end cluster creation flow on a kubernetes platform.
• Managing complex data modeling and schema drift, as well as embedding automated data quality checks and statistical anomaly detection directly into pipelines to shift away from reactive, manual quality processes.
• Working with governance layers to ensure policies like tag-driven Attribute-Based Access Control (ABAC), column-level masking, row-level filters, and zero-code lineage ingestion (e.g., Octopai) are accurately enforced at the data layer.

We are excited if you have:

• Ability to learn and develop AI enabled test automation frameworks.
• Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow
• Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces). You must understand how to debug and test complex Helm chart deployments and dependencies.
• Expert-level proficiency in Python/Shell for scripting and automation.
• Education: Bachelor’s or Master’s degree in Computer Science or equivalent experience.
• Experience: 4+ years of software engineering experience with a focus on test automation, infrastructure, or backend development

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