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Senior QA Engineer

Veeva Systems

Before you apply

Role details

The practical picture
Employment
Full-time

Inside the role

Qualifications
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
Role signal brief

The role, at a glance

Extracted from the source posting · 90% confidence

Veeva Systems is seeking a Senior QA Engineer to join their new Hyderabad development center. The role involves performing manual and API testing for Veeva AI applications, focusing on functional, integration, and regression testing. Candidates must have 3+ years of software testing experience and expertise in QA best practices.

What you need

  • 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

What you will own

  • 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
Core skills
Manual TestingAPI TestingJiraXrayAI/LLM Verification & ValidationSDLC ProcessesFunctional TestingDefect Management
Internal freshness window ends Oct 21, 2026
View source evidence
  • must_have “3+ years of experience in software testing”
  • must_have “Strong understanding of software testing methodologies, SDLC processes and QA best practices”
  • must_have “Hands on experience with manual testing methodologies both functional and API testing”
  • must_have “Experience working with AI technologies, including Large Language Models (LLMs), various AI model verification and validation techniques, and testing AI-powered applications.”
  • must_have “Experience with defect and test management tools like Jira and Xray”
manual testingapi testingjiraxray
Role brief
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.   At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.   Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

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 centre in Hyderabad, India. This emerging and growing branch of Veeva is looking for Senior Software QA Engineer (Contract to Hire), to expand its global quality engineering efforts. As part of our Quality Assurance team, you'll be responsible for functional testing to deliver a top-quality SaaS product. This is a hands-on position playing a vital role in ensuring customer success with each new release. The ideal candidate should be Proactive, self-motivated, work independently with minimal supervision 

If you are an experienced Quality Engineer professional ready to make an impact and take your career to the next level, we want to hear from you. In our fast-paced environment, you'll collaborate with like-minded engineers in a high-energy setting and leverage your existing skills to learn and grow with us.

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
  • Additional

    #LI-MidSenior
    Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.   Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.