Staff Quality Assurance Engineer

Platform9 Systems•San Jose, CA

1d•Hybrid

About The Position

We are looking for a Software Quality Assurance Engineer with proven expertise in testing large scale, distributed cloud based systems in a continuous integration environment. The engineer in this role will drive and influence quality initiatives within product development teams to promote a quality focussed culture within engineers.

Requirements

Proficiency in writing reliable and maintainable code in Python or Go
Experience with continuous integration systems like Jenkins or Teamcity
Experience with linux based systems
Experience with cloud / containerisation technologies, preferably Kubernetes and OpenStack.
Being a highly motivated self-starter with the ability to work in a highly dynamic environment
Troubleshooting skills
Automated testing of the front-end

Nice To Haves

Bachelors or Masters degree in Computer Science or related discipline. Extensive relevant work experience is also acceptable.
10+ years of experience in developing automated tests in a continuous integration environment for large scale systems.

Responsibilities

Spearhead the development and continuous refinement of our QA strategy, including developing and executing test cases, scripts, plans, and procedures.
Design, develop, and maintain automated tests to ensure features and functionalities meet quality standards and integrate them with CI/CD systems, minimizing reliance on manual testing.
Work on test infrastructure to design, implement and run functional, integration and scale tests.
Conduct comprehensive manual testing where automation is not feasible, ensuring all features and functionalities meet quality standards.
Work closely with product development engineers to design new tests for new features, analyze existing test coverage, identify gaps and add missing tests.
Track, analyze, and report on software defects, ensuring timely resolution and maintaining high product quality.
Implement performance, scalability, and stress testing to ensure the software can handle expected loads.
Identify opportunities to improve QA processes, tools, and methodologies, driving continuous improvement initiatives within the team.
Assess risks associated with product releases and provide recommendations for mitigating those risks.
Collaborate with platform architecture and development teams to embed quality principles early in the development lifecycle.
Contribute to implementation of AI-assisted testing and code quality analysis strategies.