Business Area:

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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.

Senior Software Engineer in Test - Anywhere Cloud

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

This is essentially a data engineer role for the designation of Senior Software Engineer in Test. You will not just write tests; you will write automation and tools to validate Cloudera certified data pipelines. You will own the test strategy for designing, building, and executing custom data pipelines also known as Blue Prints

You will leverage your deep domain expertise in data ecosystem engines like Spark, Kafka, Apache Polaris, Trino, Airflow and Lakehouse architectures to validate end to end use cases via custom blueprint. Your work will directly guarantee the functioning of the data pipeline for relevant use cases.

Key Responsibilities

• End-to-End Data Pipeline Validation: Design and execute test plans validating the end-to-end cluster creation flow on a kubernetes platform.

• Data Modeling & Proactive Data Quality: 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.

• Unified Data Governance Integration: 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.

Requirements

• AI First Mindset : Ability to learn and develop AI enabled test automation frameworks.

• Engine SME Expertise : Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow

• Kubernetes Expertise: Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces). You must understand how to debug and test complex Helm chart deployments and dependencies.

• Language Proficiency: Expert-level proficiency in Python/Shell for scripting and automation.

• Education: Bachelor’s or Master’s degree in Computer Science or equivalent experience.

• Experience: 8+ years of software engineering experience with a focus on test automation, infrastructure, or backend development

What You Can Expect

• AI enabled work environment with access to latest AI tools

• Freedom to Act: You will work without appreciable direction, setting your own priorities based on long-term technical goals.

• Impact: Your decisions will affect the strategic direction of the AWC quality stack and the reliability of our platform setup.

• Complexity: You will solve unusually complex problems, such as verifying cross-cluster service discovery and ensuring zero-downtime upgrades for stateful data engines.

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

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