LD
Leonardo DRSTest Engineer
Testing Engineer working on embedded military instrumentation and control systems at Leonardo DRS. Develops test strategies, executes procedures, and collaborates on design reviews in a team setting.
About the role
- 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
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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