Software Engineer II – Document AI
About the Role
Ensures the quality, reliability, and scalability of software products through systematic testing, automation, and quality engineering practices. Develops, maintains, and delivers test plans, test cases, and automated test frameworks for functional, integration, regression, and end-to-end testing. Analyzes requirements, software architecture, logs, and test results to identify defects and drive quality improvements.
Collaborates closely with engineering and product teams to solve issues, perform root-cause analysis, and ensure successful product releases. Contributes to automation infrastructure, CI/CD quality processes, and testing standard methodologies. For AI-powered workflows and services, validates functionality, workflows, and data-driven outcomes to deliver a high-quality customer experience. What You'll Do
Test AI-powered features and workflows within the Document AI product ecosystem.
Participate in all phases of the Software Development Lifecycle (SDLC), including requirement analysis, test planning, estimation, execution, automation, release validation, and defect triaging.
Design, develop, and maintain scalable automation frameworks and test suites for functional, integration, regression, and end-to-end testing.
Validate APIs, backend services, and workflow integrations across cloud-based applications.
Implement functional and user-centric test scenarios manually whenever required.
Collaborate closely with developers, product managers, and other collaborators to ensure high-quality product releases.
Analyze logs, solve issues, perform root-cause analysis, and help improve overall product quality.
Contribute to continuous quality improvements by identifying automation opportunities and process enhancements.
Work as part of a highly motivated Agile team operating in fast-paced release cycles. Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related field.
2+ years of experience in Software Quality Engineering, Test Automation
Strong programming and scripting skills in Python. Experience with Java, JavaScript, or C/C++ is a plus.
Good understanding of software testing methodologies including functional, Integration, System, Regression, Acceptance, and Performance Testing.
Experience developing and maintaining automated test frameworks and test infrastructure.
Good understanding of CI/CD concepts and hands-on experience with tools such as Jenkins or similar automation platforms.
Ability to read, understand, and debug code to identify quality issues early in the development lifecycle.
Good understanding of Windows and macOS platforms; Linux knowledge is a plus.
Familiarity with REST APIs, web services, and cloud-based applications.
Strong analytical, debugging, and problem-solving skills. Nice to Have
Exposure to AI/ML-powered applications, model validation, or data-driven testing.
Experience with observability and analytics platforms such as Splunk, Power BI, Adobe Analytics, Grafana, or similar tools.
Knowledge of web technologies such as HTML, CSS, and JavaScript.
Hands-on experience with Python libraries such as NumPy, Pandas, OpenCV, PyTest, or similar frameworks.
Experience testing cloud-native applications and microservices architectures. You Will Convince Us That You
Enjoy solving complex technical problems and continuously learning new technologies.
Have excellent verbal and written communication skills.
Can effectively collaborate across teams to understand requirements and deliver high-quality solutions.
Possess strong analytical and debugging abilities with a passion for software quality.
Take ownership of assigned work and consistently deliver results with attention to detail.
Thrive in a collaborative, fast-paced, and Agile environment.
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. Learn more.
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
[email protected] or call +1 408-536-3015.
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 .
