TL;DR
Software QA Manager (Life Sciences): Leading the quality strategy and execution for enterprise-grade cloud products with an accent on building scalable testing frameworks, strengthening automation maturity, and ensuring high-quality product delivery. Focus on shaping best-in-class testing practices, collaborating with cross-functional teams, and ensuring compliance and reliability across the product lifecycle.
Location: Hyderabad, Telangana, India (Hybrid)
Company
hirify.global helps life sciences companies optimize commercialization through strategic insight, advanced analytics, and proprietary technology solutions, with 10 global offices.
What you will do
- Lead and mentor a team of QA engineers, fostering excellence and continuous improvement.
- Drive end-to-end ownership of QA processes, from requirement gathering through release validation.
- Design and implement robust QA frameworks, including test planning, execution, and reporting.
- Build and scale test automation frameworks using tools like Selenium, JMeter, and LoadRunner.
- Ensure compliance with GRC processes and support internal and external audits.
- Define and track key KPIs to monitor test coverage, defect rates, and overall product quality.
Requirements
- Bachelor’s/master’s degree in Computer Science, Information Technology, or a related field.
- 15–20 years of QA experience with at least 5 years in a leadership role is mandatory.
- Strong hands-on experience with Selenium, performance testing tools, and automation frameworks.
- Deep understanding of agile software development, DevOps tools, and ticket tracking systems (e.g., JIRA).
- Proven experience managing QA for cloud platforms and enterprise-scale applications.
- Strong analytical, problem-solving, communication, and interpersonal skills.
Nice to have
- Background in life sciences or healthcare software.
- Familiarity with Beghou platforms: Mainsail™, Meridian™, ARMADA™.
- Certifications: ISTQB, Certified Scrum Master (CSM).
Culture & Benefits
- Join a highly collaborative, values-driven team with a focus on technical excellence and analytical rigor.
- Opportunity for personal growth and development.
- Work in an environment passionate about AI innovation and data-first solutions in life sciences.
Hiring process
- AI tools may support parts of the hiring process (e.g., reviewing applications, analyzing resumes).
- Final hiring decisions are made by humans.
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