Senior Quality Engineer

Job 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 modern 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.
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Required Qualifications

• Bachelor'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 strong 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

Preferred Skills

• 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
• Excellent communication, stakeholder management, and technical leadership skills
• 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 HIPAA-like compliance expectations