Senior Quality Engineer job at Magnite, Inc. in Buffalo, NY, New York City, NY, Los Angeles, CA, Broomfield, CO

Senior Quality Engineer

Location: New York City, NY, Los Angeles, CA, Broomfield, CO, Buffalo, NY, United States

Full time

job requisition id

R-01313

Job Description:

Hybrid Schedule (M/F remote, T/W/TH in-office)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

About this team:

We are looking for a Senior Quality Engineer to join our Streaming Ad Server team to help ensure quality is baked into the entire Software Development Lifecycle. On this team you will work on a globally distributed ad serving system that handles hundreds of billions of requests a day. You have the opportunity to take on project initiatives to improve the confidence, stability and delivery of our systems, tackle hard technical challenges, and contribute to a team of passionate individuals.

In this role you will:

Test Strategy & Design: Develop and lead effective test strategies for complex, large-scale integration projects by thoroughly analyzing software systems.

Test Plan & Automation Framework Development: Architect, build, and maintain scalable, robust automated testing frameworks using industry-standard tools to support continuous integration and delivery (CI/CD) processes.

Automation Implementation: Create and implement automated tests that execute key test strategies, ensuring they are repeatable, maintainable, and robust. Step in with manual testing when automated solutions aren't feasible.

AI-Driven Test Coverage & Tooling: Pioneer the use of AI techniques (e.g., fuzzing, model-based testing, generative AI) to automatically create comprehensive test cases and significantly increase coverage for complex, large-scale systems.1

Intelligent Test Automation Development: Architect and implement AI-powered custom testing tools, such as self-healing frameworks and intelligent defect prediction systems, to enhance the robustness and efficiency of the automated testing ecosystem

CI/CD Integration: Collaborate closely with DevOps to integrate automated testing into CI/CD pipelines, optimizing the delivery process.

Troubleshooting & Debugging: Utilize strong troubleshooting skills to isolate and resolve issues, perform root cause analysis, and validate bug fixes to ensure smooth releases.

Cross-Functional Collaboration: Partner with product, project, and development teams to identify, assess, and address technical, business, and process-related issues that impact quality.

Innovation & Research: Stay at the forefront of testing technology by researching and developing proofs of concept for new tools, methodologies, and best practices.

Quality Assurance Ownership: Take end-to-end responsibility for quality assurance by managing the QA sign-off process for releases.

We're looking for someone with:

QA & Automation Experience: 5+ years of demonstrated hands-on experience in software QA and test automation, exhibiting continual technical growth, increasing responsibility, and a track record of driving significant improvements to testing practices.

Experience in AI/Automation Integration: Proven ability to integrate Artificial Intelligence methodologies into existing test automation frameworks to expand coverage and reduce maintenance overhead.

Education: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.

CI/CD & Release Management: Proven experience with CI/CD pipelines and release management tools.

API Testing: Strong ability to design and implement API smoke, regression, and end-to-end tests, ensuring robust integration across components.

Backend & Service Testing: Solid understanding of backend and service testing, with a focus on performance, scalability, and security.

Programming Languages: Proficiency in Python and/or Java, along with experience in scripting languages.

Infrastructure & Observability: Familiarity with cloud infrastructure, distributed systems, and observability tools to support monitoring and debugging.

Nice to Have:

Experience with the Ad Tech industry.

Exposure to specialized tools or platforms used for prompt engineering and utilizing generative AI to accelerate test script creation or synthetic data generation.

Practical experience with AI tools or frameworks leveraged for predictive quality metrics, root cause analysis, or optimization of test execution.

Hands-on experience with AWS services for deploying, testing, and monitoring applications in cloud environments.

In the US, the base salary range for this role is $135,000 - $165,000.

Actual compensation will be de