Sr Associate Software Engineer - Test automation

Biopharma Careers; Hyderabad; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Amgen is seeking an experienced QA Automation Engineer to join our Information Systems group. You will partner with product owners and development teams in an Agile setting to define test requirements and embed quality across the SDLC.

You will develop scalable automation frameworks using Python/JavaScript/C#, and build end-to-end API/UI tests, including data validation with SQL/ETL processes. You will drive automation strategy, improve QA processes, and support patch validation and ongoing

Qualifications

• Hands-on test automation with Selenium, Cypress or Playwright.
• Experience integrating automated tests into CI/CD pipelines.
• RPA tooling experience with UiPath.
• Strong API/UI/integration and end-to-end testing expertise.
• Experience with AI-assisted development tools for testing.
• Knowledge of cloud testing strategies and databases (SQL).

Responsibilities

• Partner with product owners and dev teams in Agile to define clear requirements.
• Develop and maintain scalable automation frameworks with reusable components.
• Build end-to-end automation suites for API and UI testing.
• Drive QA process improvements and test coverage in a fast-paced Agile environment.
• Perform focused manual testing when required (integration, ETL, data validation).
• Support patch validation, upgrade testing, and ongoing maintenance.

Skills

Test automation frameworks

CI/CD integration

RPA (UiPath)

API/UI/integration testing

AI-assisted testing

Cloud platforms (AWS/Azure/GCP)

SQL/ETL data validation

Observability/monitoring

Education

Bachelor’s degree in CS/IT or related field

Tools

GitHub Actions

Jenkins

Azure DevOps

UiPath

GitHub Copilot

Job description

Career Category

Information Systems

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

Roles & Responsibilities

• Partner with Product Owners and development teams in an Agile environment to define clear, testable requirements and embed quality throughout the software development lifecycle.
• Develop, and maintain scalable automation frameworks with reusable components using GitHub, GitHub Copilot, UiPath, and programming languages such as Python, JavaScript, or C#.
• Build and enhance end-to-end, API, and UI automation suites using modular, data-driven approaches to maximize test coverage, maintainability, and execution efficiency.
• Drive continuous improvements in QA processes, automation strategy, test coverage, and application performance while effectively managing competing priorities in a fast-paced Agile environment.
• Perform focused manual testing when required, including integration, ETL, and data validation using reporting and analytical tools.
• Support application lifecycle management by executing patch validation, upgrade testing, preventative testing, and ongoing maintenance in alignment with engineering best practices and quality standards.

Basic Qualifications and Experience:

Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience

Must-Have Skills

• Strong hands-on experience in test automation using Selenium, Cypress, Playwright, or similar frameworks, with proficiency in Python, JavaScript, or C#.
• Proven experience developing, and maintaining scalable automation frameworks and integrating automated testing into CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps.
• Experience with Robotic Process Automation (RPA) tools such as UiPath for automating business processes and workflows.
• Strong expertise in API, UI, integration, and end-to-end testing, along with data validation using SQL and ETL processes.
• Experience leveraging AI-assisted development tools such as GitHub Copilot and implementing intelligent test automation capabilities, including self-healing scripts, AI-generated test cases, and predictive defect detection.

Good-to-Have Skills

• Knowledge of AI/ML concepts and their application in software testing, monitoring, and quality engineering.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), including cloud-native testing strategies.
• Experience working with relational (SQL) and NoSQL databases, including vector databases used for Large Language Model (LLM) and Generative AI applications.
• Exposure to observability and monitoring tools, performance testing, and modern DevOps engineering practices.