Lead Software Engineer
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
By continuing, you agree to our Terms & Privacy Policy.
#WeAreParamount on a mission to unleash the power of content… you in?
We’ve got the brands, we’ve got the stars, we’ve got thepowerto achieve our mission to entertain the planet – now all we’re missing is… YOU Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.
Job Title : Lead Software Engineer in Test
Team : Global Quality Engineering
Location : New York City, Los Angeles, San Francisco
Overview
Paramount Skydance Corp. is seeking a Staff Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This senior technical role combines deep Java engineering expertise, advanced test automation, media/streaming domain knowledge, and modern CI/CD practices to accelerate quality, reduce risk, and ensure world-class customer experiences across CTV, SmartTV, mobile, and web.
You will be a senior technical leader within the Global Quality Engineering (GQE) organization. You will use and enhance our existing departmental automation framework, define quality strategies, and mentor engineers across GQE to elevate testing maturity and engineering excellence. You will also drive AI-augmented development and testing practices using GitHub Copilot (in-IDE), Cursor, and similar tools.
Key Responsibilities
Automation Framework Architecture
• Enhance and extend our existing Java-based departmental test automation framework supporting API, UI, Mobile, CTV/SmartTV, and integration testing; introduce reusable libraries, utilities, and patterns to improve stability and scale.
• Establish scalable patterns for reusable test components, data management, assertions, parallelization, and distributed execution.
• Integrate the framework deeply into CI/CD pipelines to support shift-left testing and continuous quality.
AI-Augmented Quality Engineering
• Champion AI-assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLM-based assistants to improve developer productivity, test authoring velocity, code reviews, and defect triage.
• Apply prompt engineering and retrieval techniques to accelerate test case generation, log/telemetry summarization, video-quality anomaly detection, and root-cause analysis.
• Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework.
Media & Multi-Platform Quality
• Expand automation coverage for video playback, streaming resiliency, DRM flows, SSAI/CSAI ad insertion, captions/subtitles, and content protection.
• Validate QoE metrics (startup time, rebuffering ratio, frame drops, video/audio sync, error recovery) across Roku, Fire TV, Android TV/Google TV, Samsung Tizen, LG webOS, Apple TV, iOS/Android mobile apps, and modern web players.
• Leverage media tooling such as ffmpeg/ffprobe, Charles/Fiddler, and player inspection APIs for diagnostics and validation.
Quality Engineering Technical Leadership
• Define technical strategy for automated testing across services, microservices, UIs, mobile apps, and OTT/CTV applications leveraging the departmental framework.
• Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns.
• Lead the evaluation and adoption of modern automation technologies and quality platforms.
Cross Functional Collaboration
• Partner with Video Engineering, Playback/Player, Ads/Monetization, CDN/Streaming Operations, and Platform teams to ensure robust validation of streaming experiences and ad workflows.
• Collaborate with Product to ensure test coverage aligns to business priorities and quality goals.
• Work closely with Platform and Data Engineering to support scalable test environments, quality data, and telemetry.
Technical Execution
• Design and implement complex automated test suites using Java, Selenium, Appium, JMeter, Locust, REST-Assured, TestNG/JUnit, and related tooling within the existing framework.
• Build and