Senior Quality Analyst

TL;DR

Senior Quality Analyst: Ensuring high-quality, secure, and reliable product delivery through robust test strategies and validation across complex modules, with an accent on designing and executing comprehensive functional, integration, and security tests. Focus on driving automation initiatives, applying OWASP principles, and contributing to process improvements in a product development environment.

Location: Hyderabad, Telangana (Hybrid)

Company

hirify.global helps life sciences companies optimize commercialization through strategic insight, advanced analytics, and technology, with 10 global offices.

What you will do

• Partner with product managers to define acceptance criteria, quality metrics, and release criteria.
• Develop and maintain product-level test strategies and comprehensive test suites aligned with product features.
• Design and execute test scenarios validating end-to-end workflows, edge cases, and usability across integrated modules.
• Conduct security assessments, including OWASP Top 10 vulnerabilities, authentication/authorization, and API security testing.
• Build, maintain, and enhance automated regression suites integrated with CI/CD pipelines, including SAST/DAST security scanning.
• Identify, document, track, and prioritize defects and security vulnerabilities, collaborating on root cause analysis.

Requirements

• 4+ years of proven work experience in software quality assurance in a product development environment.
• Experience creating comprehensive test plans with well-defined, reusable test cases.
• Proven experience in test automation using Selenium or Playwright with frameworks like Page Object Model.
• Experience with API testing tools (Postman, REST Assured) and CI/CD integration (Jenkins, Azure DevOps, GitHub Actions).
• SQL proficiency for data validation and test data setup.
• Understanding of OWASP Top 10 vulnerabilities and hands-on experience with security testing tools (OWASP ZAP, Burp Suite).

Culture & Benefits

• Join a highly collaborative, values-driven team.
• Focus on technical excellence, analytical rigor, and personal growth.
• Opportunity to make an impact in AI innovation and commercialization strategies in life sciences.
• Work with a team that assists with building data analytics infrastructures and leveraging artificial intelligence.
• Contribute to shaping the next generation of data-first solutions.