Lead Software Automation Test Engineer

Python Automated testing Restfull API System Integration Testing Kubernetes Containerization Testing Methodologies Linux/Unix

About the Role:

• As a Software Engineer in Test (Product Excellence) you will design develop and maintain automated testing solutions processes and frameworks to ensure high-quality product releases.
• You will contribute to validating systems that power products such as PlayStation Plus Cloud Streaming ensuring reliability across releases and deployments.
• This role involves analyzing test failures identifying root causes and driving solutions in collaboration with internal engineering teams.

About the Team:

• You will be part of a global initiative focused on building robust automated testing solutions and improving quality engineering practices.
• The team emphasizes innovation continuous improvement and adoption of new tools and technologies in testing infrastructure.
• Collaboration is key with close interaction across quality engineering and development teams to enhance system validation processes.

You are Responsible for:

• Taking ownership of automated tests that validate PS Cloud Streaming system releases and deployments.
• Investigating daily test failures identifying root causes and collaborating with teams to implement fixes and improvements.
• Enhancing testing infrastructure by adopting new technologies tools and methodologies.
• Researching and developing new testing tools frameworks and industry best practices to improve existing processes.
• Providing feedback to improve quality engineering processes and ensure efficient validation strategies.

To succeed in this role you should have the following:

• Bachelors degree in Computer Science or equivalent practical experience with 3 years in SDET or software engineering roles.
• Strong programming skills especially in Python and Java with the ability to work across multiple languages.
• Experience in testing RESTful APIs system integrations and dependencies.
• Hands-on experience with CI/CD tools such as GitLab CI/CD or GitHub Actions along with workflow tools like Airflow.
• Familiarity with test automation frameworks load/performance testing and containerization technologies like Kubernetes.
• Proficiency with development and collaboration tools such as Git GitHub/GitLab and JIRA.
• Strong understanding of SDLC and post-production support along with excellent analytical problem-solving and communication skills.
• Ability to manage parallel tasks independently while maintaining attention to detail.
• Awareness of Generative AI concepts and their application in automated testing solutions