Software Engineer (Java) in Test

Paramount•Burbank, CA

7d•Onsite

About The Position

Paramount Skydance Corp. is seeking a Software Engineer in Test to design, architect, and deliver high-quality, scalable, and reliable automated testing solutions across our enterprise platforms. This role requires robust Java engineering skills and knowledge of advanced test automation. It also needs experience in the media and streaming domain. The goal is to improve quality, reduce risk, and provide top-notch 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 to create and maintain automated tests across a variety of front-end clients and back-end services. You will also leverage AI-augmented development and testing practices using Claude Code, GitHub Copilot (in-IDE), Cursor, and similar tools.

Requirements

3+ years of experience in software engineering or quality engineering with robust Java development expertise.
Demonstrated experience using and enhancing an existing enterprise/departmental automation framework (not building entirely new frameworks).
Deep expertise in common test automation tools (Selenium, Appium, Playwright, REST-Assured, TestNG, JUnit, Maven/Gradle).
AI experience (must-have): hands-on use of AI-assisted development tools such as Claude Code, GitHub Copilot (IDE), Cursor or similar.
Solid knowledge of software design patterns, data structures, and core engineering principles.

Nice To Haves

Familiarity with observability and APM tools (Grafana, Prometheus, NewRelic, DataDog) and media telemetry(Conviva, MUX, NPAW etc).
Experience with contract testing (PACT), service virtualization, or synthetic media test data.
Exposure to CTV/SmartTV automation stacks and remote device labs.

Responsibilities

Create and maintain automated tests using 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.
Utilize 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.
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 useful AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework.
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.
Ensure consistent adoption of engineering best practices, coding standards, and high-quality test development patterns.
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 optimize testing strategies including API/contract, integration, performance/reliability, and device-level testing for CTV/SmartTV, mobile, and web.
Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration.