Senior Software Engineer (Java) in Test

Senior Software Engineer (Java) in Test

Paramount Skydance Corp. is seeking a Senior Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This role requires proficient skills in Java engineering. It also requires experience in advanced test automation and knowledge of the media and streaming industry. You will use modern CI/CD practices to improve quality and reduce risk. Your work will help provide great customer experiences on CTV, SmartTV, mobile, and web platforms. As a member of the Global Quality Engineering (GQE) organization, you will utilize our existing departmental automation framework, help drive quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also leverage AI-augmented development and testing practices using tools such as GitHub Copilot (IDE), Cursor, and similar tools.

Key Responsibilities:

• Create Robust & Reliable Automation Coverage across front-end and back-end
• AI-Augmented Quality Engineering
• Media & Multi-Platform Quality
• Cross Functional Collaboration
• Technical Execution

Required Qualifications:

• 6+ years of experience in software engineering or quality engineering with solid Java development expertise.
• Demonstrated experience using and enhancing an existing enterprise/departmental automation framework.
• Deep expertise in common test automation tools.
• AI experience: hands-on use of AI-assisted development tools.
• Strong knowledge of CI/CD tools and quality gates.
• Proven experience testing media/streaming applications.
• Cloud experience and containerization.
• Solid knowledge of software design patterns, data structures, and core engineering principles.

Preferred Qualifications:

• Familiarity with observability and APM tools.
• Experience with contract testing, service virtualization, or synthetic media test data.
• Exposure to CTV/SmartTV automation stacks and remote device labs.

Key Competencies:

• Quality mindset – commitment to reliability, maintainability, and continuous improvement.
• AI fluency – practical judgment on where AI adds measurable value in testing.
• Systems thinking – understanding distributed systems and complex media pipelines.

Success Metrics:

• Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression.
• Measurable reduction in escaped defects and media playback incidents.
• Improved stability and reliability of automated pipelines and device runs.
• Faster release cycles through scalable, AI-augmented automation.
• Broad adoption and consistent usage of the GQE test framework across teams.

Nearest Major Market: Los Angeles