What You'll Do Lead the quality engineering strategy for modern web applications and backend services, ensuring quality is built into every stage of the software development lifecycle. Link Partner closely with Product Management, Software Engineering, and UX teams to define quality objectives and drive engineering excellence. Design, develop, and maintain scalable test automation frameworks while contributing production-quality code in Java, Python, and JavaScript/TypeScript .
Build reusable libraries, testing utilities, and developer tools that improve engineering productivity across teams. Contribute to frontend and backend development efforts using React , Java , and Python , enabling a shift-left approach to quality. Drive API, integration, end-to-end testing strategies for distributed systems and cloud-native applications. Champion modern engineering practices including CI/CD, infrastructure automation, code quality, observability, and release readiness.
Leverage AI-powered engineering tools such as Claude, ChatGPT, GitHub Copilot, Cursor , and similar platforms to accelerate software development, test generation, debugging, code reviews, documentation, and root cause analysis. Evaluate and implement AI-assisted workflows that improve engineering efficiency and software quality across the organization. Mentor engineers on software design, coding standards, automation architecture, AI-assisted development, and engineering practices.
Lead defect triage, root cause analysis, and production quality initiatives while collaborating across engineering teams. Drive continuous improvements in test strategy, automation coverage, release quality, and engineering productivity through metrics and data-driven decisions. Foster a culture of innovation, ownership, collaboration, and continuous learning. What We're Looking For Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
4–6 years of experience in Software Engineering, Software Quality Engineering, or a hybrid Software Development Engineer in Test (SDET) role. Strong programming skills in Java and Python , with proficiency in using React and modern web technologies Experience designing and developing scalable automation frameworks using tools such as Playwright, Selenium, JUnit, TestNG, or PyTest . Strong understanding of REST APIs, microservices, distributed systems, and modern application architectures.
Experience with SQL and MongoDB databases. Strong knowledge of Git, GitHub, Maven/Gradle, Jenkins/GitHub Actions, Docker, and CI/CD pipelines. Experience working in Agile/Scrum development environments. Excellent analytical, debugging, problem-solving, and communication skills. Experience integrating AI/LLM APIs into products or engineering workflows. AI & Modern Engineering Expectations We are looking for engineers who embrace AI as an accelerator for software development rather than just a productivity tool.
Ideal candidates will have experience using tools such as: Claude ChatGPT GitHub Copilot Cursor or equivalent AI-assisted IDEs You should be comfortable using AI to: Generate and review production-quality code Build and maintain automated test suites Perform debugging and root cause analysis Create user documentation Improve code quality and engineering productivity Prototype solutions and accelerate feature delivery About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.
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