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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. The Cloudera Quality Engineering Team is looking for talented Senior SDET, to deliver continuous improvement in the Data Platform that we provide to our customers. You will be responsible for delivery of high quality features/releases of CDP. You shall be responsible for validating the resiliency, scalability, and upgradability of the Data Platform throughout the lifecycle of the product. Alongside, you will develop an understanding of other Hadoop components and related technologies in the Cloud.
Job Responsibility:
Develop high level test strategies based on feature definition including strategies for both automated testing (incorporating negative, regression, and end-to-end testing) and exploratory testing
Write new automated tests for existing and new features using AI/tools wherever applicable
Build advanced automated testing framework, tools and automated test suites, in Python (pytest)/Shell/Java (TestNG/JUnit) for upgrade, scalability, stability
Create repeatable test workflows and scripts for end-to-end upgrade scenarios for Build, enhance and maintain automation framework for AWS/Azure/GCP Cloud providers
Design, automate, and execute tests that ensure the product performs reliably under stress, recovers from failures, and supports seamless version upgrades with zero or minimal downtime
Ensure horizontal/vertical scaling works as expected
Work closely with the Dev/PM team to ensure that code developed is testable, build any test hooks if required and to arrive at project schedules and resource allocation models for successful delivery
Debug system level deployment issues, root cause analysis, and resolve failures
Integrate tests into CI/CD pipelines to enable continuous resilience validation
Prompt reporting of status and escalate risks along with strong commitment to best practices in QA and software development, including modern CI using Jenkins processes
Create/Maintain detailed test documentation including test plans, test cases, and test reports
Be the quality advocate of the team. Advocate for the implementation of Engineering best practices and quality standards
Build strong relationships and collaborate with platform engineers, other quality engineers as well as, Product Management, Dev counterparts.
Requirements:
BE/MS in Computer Science or related field
Strong knowledge in at least one of the following languages: Python/Java
Working knowledge of AWS/Azure/GCP, Upgrades, Scalability on a Distributed system and on Airflow framework
Strong knowledge of QA methodology and tools, including creation of test cases and test plans and Automation Framework Handson and debugging
Handson on Unix Operating system
Familiarity with DevOps technologies such as Docker, Kubernetes, Ansible, Jenkins, Github, Maven etc
General knowledge of large-scale distributed systems and/or data management system
Excellent communication and collaboration skills
Good analytical and problem-solving skills. Works from broad specifications to independently resolve challenging design/enhancement issues and/or troubleshooting/resolving production issues using available tools and techniques.
Nice to have:
Knowledge of DataLake concepts, Data Security concepts, Data authorization, Data authentication, Data governance and auditing is a plus
Working knowledge of the Hadoop ecosystem and applications is an added advantage
Working knowledge on Gen AI is an added advantage.