Software Engineer, Test Automation

The Role

Do you dream about being part of a team with the talent, passion, and financial backing to build top-notch, industry-changing cloud-based applications and platforms? At Veeva, we build enterprise cloud technology that powers the biggest names in pharmaceuticals, biotech, consumer goods, chemical & cosmetics industries. Our customers make vaccines, life-saving medicines, and life-enhancing products that make a difference in everyday lives. Our technology has transformed these industries, enabling them to get critical products and services to market faster. Our products empower our customers in the fight against global pandemics like COVID-19.

Veeva Systems is expanding its global footprint with a new development center in Hyderabad, India. This emerging and growing branch of Veeva is looking for Software Engineer, Test Automation for multiple positions to expand global quality & release engineering efforts. You will be working on cutting-edge technologies such as Cucumber, AWS(EC2, S3, Workspace), Visual Regression & DevOps Tools, playing a pivotal role in developing/maintaining automating tests to support our ever-growing suite of regression tests. The ideal candidate will be highly technical, motivated, and can work without too much supervision.

What You’ll Do

• Demonstrate deep knowledge of Veeva AI application to support quality assurance activities across product releases
• Primarily perform manual testing to validate application functionality and ensure release readiness
• Coordinate with the QA manager for smooth transition and handshake of the QA deliverables.
• Work closely with onsite QA engineers and product managers to deliver high quality software

Requirements

• 3+ years of experience in software testing
• Strong understanding of software testing methodologies, SDLC processes and QA best practices
• Analyze business requirements and document test cases and test plan
• Hands on experience with manual testing methodologies both functional and API testing
• Experience working with AI technologies, including Large Language Models (LLMs), various AI model verification and validation techniques, and testing AI-powered applications.
• Perform functional, integration, regression, smoke, sanity and user acceptance testing
• Expertise in identifying, logging and verifying defects throughout the software testing lifecycle
• Experience with defect and test management tools like Jira and Xray
• Collaborate with onsite team by actively participating in meetings to ensure high quality software delivery
• Proactive, self-motivated, work independently with minimal supervision
• Excellent communication, teamwork and collaboration skills
• Ability to mentor junior team members and promote quality engineering best practices

Nice to Have

• Experience working in the life sciences and healthcare industry
• Knowledge on SQL Queries