1

Software Engineer In Test Jobs in Fullerton, CA (NOW HIRING)

As a Staff SDET, you will partner closely with Product, Engineering, Operations, and Delivery teams from the earliest stages of planning through production. You will ensure quality is designed into ...

As a Staff SDET, you will partner closely with Product, Engineering, Operations, and Delivery teams from the earliest stages of planning through production. You will ensure quality is designed into ...

SDET - Playwright

Newport Beach, CA ยท On-site

$53.75 - $69.25/hr

Job#: 3045912 SDET - Playwright Location: Newport Beach, California (Onsite) Role Overview We are seeking a Software Development Engineer in Test (SDET) to design, build, and maintain reliable ...

New

Automation SDET Location: Newport Beach, CA (Hybrid Onsite - Min 3 days a week onsite is required) Job Type: Contract Experience Required: 7+ Years Skill Metrics: Skills Required Python Yes Jenkins ...

SDET

Pasadena, CA ยท On-site

$70/hr

Job#: 3045604 We are seeking a highly skilled SDET to join team in Pasadena, California. Location: Pasadena, CA 6 month contract Pay Rate: $70 an hour Must-Have Qualifications * 5+ years of ...

New

Showing results 21-40

Software Engineer In Test information

See Fullerton, CA salary details

$11

$53

$76

How much do software engineer in test jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for software engineer in test in Fullerton, CA is $53.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $61.20 per hour, depending on experience, location, and employer.

What is the difference between Software Engineer In Test vs QA Engineer?

AspectSoftware Engineer In TestQA Engineer
CredentialsBachelor's in CS or related field, coding skillsBachelor's in CS, QA certifications optional
Work EnvironmentDevelops automated tests, collaborates with developersDesigns test plans, manual and automated testing
Industry UsageTech companies, software firmsVariety of industries, including tech and manufacturing
Search IntentAutomation, testing, developmentManual testing, quality assurance

Software Engineer In Test roles focus on developing automated testing solutions and collaborating closely with developers, requiring coding skills. QA Engineers typically design test plans and perform manual and automated testing, often with less emphasis on coding. Both roles aim to ensure software quality but differ in technical depth and responsibilities.

What is a software engineer in test?

A Software Engineer In Test (SET) is a professional who specializes in developing and maintaining automated tests and testing frameworks to ensure software quality. Unlike traditional testers, SETs are skilled in programming and work closely with development teams to design testable software, automate repetitive testing tasks, and identify bugs early in the development cycle. Their main goal is to improve the efficiency, effectiveness, and coverage of software testing processes, often contributing to both code quality and faster release cycles.

What are some common challenges faced by software engineers in test when collaborating with development teams?

Software Engineers In Test (SETs) often face the challenge of ensuring their testing processes keep pace with rapid development cycles. Coordinating closely with developers is essential to identify potential issues early and to align on testing priorities. Communication gaps can sometimes lead to misunderstandings about requirements or missed edge cases, so proactive collaboration is key. Additionally, SETs may need to advocate for sufficient time for thorough test automation, balancing quality with project deadlines.

What are the key skills and qualifications needed to thrive as a software engineer in test?

To thrive as a Software Engineer in Test, you need a solid background in computer science, strong programming skills (often in Java, Python, or similar languages), and experience with automated testing frameworks. Familiarity with tools such as Selenium, JUnit, TestNG, and CI/CD systems, as well as knowledge of test management platforms, is typically required. Analytical thinking, problem-solving, and clear communication are critical soft skills that help you design effective test cases and collaborate with development teams. These skills ensure that software products are reliable, scalable, and meet quality standards before release.
What are popular job titles related to Software Engineer In Test jobs in Fullerton, CA? For Software Engineer In Test jobs in Fullerton, CA, the most frequently searched job titles are:
What job categories do people searching Software Engineer In Test jobs in Fullerton, CA look for? The top searched job categories for Software Engineer In Test jobs in Fullerton, CA are:
What cities near Fullerton, CA are hiring for Software Engineer In Test jobs? Cities near Fullerton, CA with the most Software Engineer In Test job openings:
Infographic showing various Software Engineer In Test job openings in Fullerton, CA as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $111,647 per year, or $53.7 per hour.

Lead Software Engineer (Java) in Test

Paramount Pictures

Burbank, CA โ€ข On-site

$120 - $160/hr

Other

Posted 2 days ago

New


Job description

New York, NY, US, 10036 Burbank, CA, US, 91505

Technology

New York

Full-Time

On-Site

#WeAreParamount on a mission to unleash the power of contentโ€ฆ you in?

Weโ€™ve got the brands, weโ€™ve got the stars, weโ€™ve got the powerto achieve our mission to entertain the planet โ€“ now all weโ€™re missing isโ€ฆ 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 โ€“ both for our audiences and our employees โ€“ and aim to leave a positive mark on culture.

Job Title : Lead Software Engineer in Test

Team : Global Quality Engineering

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 worldโ€‘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 AIโ€‘augmented development and testing practices using GitHub Copilot (inโ€‘IDE), Cursor, and similar tools.

Key Responsibilities
  • Enhance and extend our existing Javaโ€‘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 shiftโ€‘left testing and continuous quality.
AIโ€‘Augmented Quality Engineering
  • Champion AIโ€‘assisted development and testing using tools such as GitHub Copilot (IDE), Cursor, and LLMโ€‘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, videoโ€‘quality anomaly detection, and rootโ€‘cause analysis.
  • Evaluate and integrate functional AI capabilities that measurably reduce flakiness, false positives, and triage time within the existing framework.
Media & Multiโ€‘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 highโ€‘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, RESTโ€‘Assured, TestNG/JUnit, and related tooling within the existing framework.
  • Build and optimize testing strategies including API/contract, integration, performance/reliability, and deviceโ€‘level testing for CTV/SmartTV, mobile, and web.
  • Diagnose and tackle issues related to automation reliability, environment instability, device fragmentation, and system integration.
Required Qualifications
  • 7+ 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.
  • Deep expertise in common test automation tools (Selenium, Appium, Playwright, RESTโ€‘Assured, TestNG, JUnit, Maven/Gradle).
  • AI experience (mustโ€‘have): handsโ€‘on use of AIโ€‘assisted development tools. This includes tools like Claude Code, GitHub Copilot (IDE), Cursor, or similar. Candidates should also have useful prompt engineering skills for code and tests. LLMs are leveraged for tasks such as generating tests, suggesting code reviews, summarizing logs, and speeding up triage.
  • Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Argo, Spinnaker) and quality gates.
  • Proven experience testing media/streaming applications across CTV (Roku, Fire TV, Android TV/Google TV), SmartTV (Tizen/webOS), iOS/Android mobile, and web.
  • Handsโ€‘on validation of HLS/DASH, ABR, DRM, captions/subtitles, and QoE metrics.
  • Cloud experience (GCP, AWS, or Azure) and containerization (Docker, Kubernetes).
  • Solid knowledge of software design patterns, data structures, and core engineering principles.
Preferred Qualifications
  • Experience mentoring engineers or leading crossโ€‘functional automation initiatives.
  • 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.
  • Technical leadership โ€“ ability to guide teams and evolve automation coverage.
  • Quality mindset โ€“ commitment to reliability, maintainability, and continuous improvement.
  • AI fluency โ€“ judgment on where AI adds measurable value in testing.
  • Systems thinking โ€“ knowledge of distributed systems and complex media pipelines.
  • Ownership โ€“ ability to drive initiatives endโ€‘toโ€‘end with autonomy.
Success Metrics
  • Increased automation coverage across CTV/SmartTV, mobile, and web; reduced manual regression.
  • Measurable reduction in escaped defects and media playback incidents.
#J-18808-Ljbffr