Senior Test Engineer for Cloudera's Enterprise AI platform, leading test strategy, automation, performance testing, and release certification across hybrid cloud and Kubernetes.
Responsibilities
Develop and implement comprehensive test strategies and plans covering functional testing, customer workflow automation, fault injection, scale and performance testing
Build and maintain the infrastructure and practices for the ML engineering team in collaboration with the central IT and infra teams at Cloudera
Drive test automation efforts and build tests suites for continuous testing
Triage product issues, identify product and test gaps and take corrective and preventive actions
Lead release efforts from test and certification of product releases across various form factors
Create and maintain detailed test documentation, including test plans, test cases, and test reports
Build strong relationships and collaborate with platform and UI engineers, quality engineers, UX designers, Product Management, Field Engineering, other teams & external partners
Contribute to delivering Cloudera's next-gen AI & Machine Learning platform and certify hybrid-cloud ML/Generative AI application deployments
Requirements
5+ years of experience in software testing
Experience with test automation tools and technologies
Excellent skills in creating test automation scripts using Python
Experience with OpenShift Container Platform
Experience with containers, Kubernetes and Linux system administration
Experience testing scalable, robust and secure enterprise applications
Strong fundamentals in CI/CD processes and environments
Self-driven and motivated, with a strong sense of ownership and craftsmanship
Strong written and verbal communication skills
(Nice to have) Experience in testing for SaaS products
(Nice to have) Experience working on large-scale distributed systems
(Nice to have) Experience with web services testing (Javascript, Mocha, Selenium)
(Nice to have) Experience with Scale and Performance testing tools (Jmeter, LoadRunner, etc.)
(Nice to have) Know how of cloud-based networking
(Nice to have) Experience with data science and Machine Learning tools (R, Python, Tensorflow, Spark, MLFlow etc.)
(Nice to have) Experience using Big Data technologies like Spark, Hive etc.
Proven track record of collaborating with agile teams across geographically dispersed locations
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