Software Quality Engineer 3

Adobe; Dadri; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Adobe is seeking a Lead Quality Engineer to define and execute the quality strategy for modern web apps and backend services. You will collaborate with Product, Engineering, and UX teams to shape quality objectives and build scalable test automation frameworks using Java, Python, and React.

You will contribute production-grade code, mentor engineers, and drive CI/CD, observability, and release readiness across distributed systems.

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.

Responsibilities

• Lead the quality engineering strategy for modern web applications and backend services, ensuring quality is built into every stage of the software development lifecycle.
• 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.

Skills

Quality engineering

Java

Python

React

Playwright

Selenium

JUnit

TestNG

PyTest

REST APIs

Microservices

CI/CD

GitHub Actions

Docker

Agile/Scrum

AI integration

Mentoring

Education

Bachelor's or Master's in Computer Science or related field

Tools

Git

Maven/Gradle

Jenkins

Job description

• 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.
• 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 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

• 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. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail].

AI Use Guidelines for Interviews

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.