Primary Responsibilities:

- Quality engineering leadership: Lead the QE strategy and drive end-to-end test automation across web, API, mobile, cloud, and AI-powered applications
- Automation framework development: Design, build, and maintain scalable automation frameworks using Playwright, Selenium, Cypress, and up-to-date testing tools
- API and microservices validation: Build robust testing solutions using Rest Assured, Postman, contract testing, and service virtualization techniques
- Engineering standards: Establish automation best practices, coding standards, quality gates, and CI/CD testing integrations
- AI/GenAI validation: Develop validation frameworks for LLM response quality, accuracy, consistency, reliability, and responsible AI guardrails
- Data integrity: Perform backend and database validation to ensure accuracy and consistency across distributed systems
- Cross-functional collaboration: Partner with Product, Architecture, Engineering, and DevOps teams to define quality strategy and release readiness criteria
- Shift-left quality: Drive adoption of shift-left testing, continuous testing, and automated regression practices across Agile teams
- Technical mentorship: Mentor QE engineers, conduct code reviews, and provide technical leadership on quality engineering initiatives
- Quality metrics: Measure and improve automation coverage, regression efficiency, release quality, and overall engineering productivity
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business setting). The Company may adopt,



vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications -

Required Qualifications:

- Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or related field
- 8+ years of experience in Quality Engineering, Test Automation, or Software Development Engineering in Test (SDET)
- 5+ years in Proven experience leading enterprise-scale automation programs and quality engineering initiatives
- 5+ years in solid hands-on expertise in automation framework design, API testing, CI/CD integration, and modern quality engineering practices
- 5+ years in Experience working with large-scale enterprise applications in domains such as Healthcare, Financial Services, Insurance, Banking, or Technology
- Proven excellent communication, stakeholder management, and technical leadership skills

Preferred Qualifications:

- AI/GenAI Testing and Validation, LLM Evaluation and Prompt Testing
- MCP-based Agent Testing, ChatGPT, GitHub Copilot, Gemini, Claude, Cursor AI
- Appium Mobile Automation, AWS, Azure, or GCP Cloud Testing
- Performance Testing using JMeter or LoadRunner
- Dynatrace, SonarQube, Browser Stack, Sauce Labs
- Event-Driven Architecture and Distributed Systems Testing
- Cloud Migration Validation and Data Reconciliation Testing

- Healthcare Domain Exposure
- Experience with healthcare datasets (claims, eligibility, prior authorization, provider directories)
- Understanding of clinical or operational workflows (provider calls, documentation, adjudication steps)
- Awareness of healthcare data sensitivity and HIPAAlike compliance expectations
- Ability to design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making

📌 Senior Quality Engineer - AI Automation (Bengaluru)
🏢 Optum
📍 Bengaluru