Senior Software Engineer in Quality Engineering

Adobe•San Jose, CA

About The Position

As a Software Quality Engineer, you are a technical leader responsible for the architectural design and long-term vision of our automated testing ecosystem. You will move beyond execution to focus on the scalability, reliability, and integration of quality systems into the CI/CD pipeline. You will serve as a bridge between Engineering, Product, and DevOps, ensuring that quality is not a bottleneck but a high-speed enabler of continuous delivery.

Requirements

MS/BS degree and/or 7+ years of experience in software testing with at least 5 years focused on automation architecture.
Proficiency in languages such as Java, Python, or TypeScript.
Deep expertise with tools like Selenium, Playwright, Cypress, or Appium.
Expert knowledge of RESTful API testing (Postman, RestAssured, or similar).
Strong experience with AWS/Azure/GCP and containerization (Docker/Kubernetes).
Web Application testing experience, including system and performance testing, functional and cross-browser testing.
Experience with Jenkins framework configuration and maintenance.
Familiar with using Claude and other LLMs for development work.
Able to generate, review and maintain code using Large Language Models.
Proven ability to influence technical decision-making without direct authority.
A relentless focus on the end-user experience.

Responsibilities

Use AI to write test automation.
Work with the team on drafting requirements, prioritizing, implementing and reviewing QE automation tools.
Work with dev teams to update and manage the End to End test harness.
Identify customer use cases and test conditions based on requirements and specifications.
Build system testing harnesses, infrastructure, and test cases to ensure quality is engineered into the product right from the beginning.
Help to ensure we are moving test to the left.
Collaborate with Product Development, Product Management, Quality Engineering, Load & Performance, UX-Experts, and Operations teams to develop innovative testing solutions that align with market needs in terms of functionality, performance, scalability, reliability, realistic implementation schedules, and alignment with testing goals and principles.
Understand the features of the system for each release.
Help define what test cases can be automated, and look for opportunities to extend the automation framework in meaningful ways.
Help maintain current automation frameworks.
Identify process and technology challenges and deficiencies and participate in driving those changes to successful adoption.
Implement and adopt all relevant workflows using Gen AI tools.
Proactively identify and resolve resource conflicts and set priorities for parallel projects.
Identify project risks and provide alternatives for reducing risks.
Report, track, and re-test defects, define features and end-to-end test plans, and produce system test reports.
Analyze incoming Customer found defects post production and provide necessary support including developing new test cases and complete the automation for the validation of fixes.