Manager/Lead- Testing( M+A) (Maharashtra)

Manager/Lead- Testing(Hybrid M+A) Product Development Position Overview We are seeking a Manager/Lead Hybrid Tester (M+A) to oversee manual and automated testing across a US Healthcare Revenue Cycle Management (RCM) platform. This role will lead functional, integration, regression, AI/GenAI, Agentic AI, autonomous agent, RPA, microservices, and cloud pipeline testing, ensuring high-quality, compliant, and production-ready deliverables. The ideal candidate will define QA strategy, manage a team of testers, and ensure end-to-end testing coverage for Claims, Prior Authorization, Scheduling, Coding, Collections, and EDI modules. Job Roles Responsibilities QA Strategy Leadership : - Define and implement QA strategy for manual, automated, and AI/GenAI-assisted testing. - Lead a team of manual and automated testers, providing mentorship and performance guidance. - Establish testing standards, best practices, and processes across functional, regression, performance, and integration testing. - Collaborate with product, development, DevOps, AI/ML, and RPA teams to align QA processes with development and deployment pipelines. Manual Automated Testing : - Plan, design, and execute manual test cases for new features, bug fixes, and workflows. - Develop, maintain, and optimize automation test scripts using Selenium, Cypress, TestNG, or similar frameworks. - Implement CI/CD integrated test automation pipelines for microservices, cloud deployments, and AI workflows. - Validate AI/GenAI, Agentic AI, and autonomous agent decisions via test automation and scenario simulations. - Conduct integration, end-to-end, and regression testing for microservices, APIs, and RPA processes. AI / Agentic AI Autonomous Systems Testing : - Design and implement test cases for AI models, LLMs, GenAI outputs, and autonomous agents. - Validate multi-agent orchestration workflows and RPA-driven automated operations. - Ensure agentic AI decisions are auditable, compliant, and explainable. - Test feedback loops, memory/context handling, and decision pipelines for AI/agentic workflows. Cloud, Microservices Pipeline Validation : - Collaborate with DevOps and MLOps teams to integrate QA into CI/CD and LLM Ops pipelines. - Validate cloud deployments, containerized applications (Docker/Kubernetes), and event-driven microservices for reliability and performance. - Conduct performance, load, and stress testing on APIs, microservices, and AI/agentic systems. Compliance Governance : - Ensure testing practices comply with HIPAA, SOC 2, and healthcare regulatory standards. - Maintain audit trails for AI/agentic decisions, RPA workflows, and cloud deployments. - Implement secure test data management and PHI masking in test environments. Reporting Continuous Improvement : - Provide QA metrics, dashboards, and reports to stakeholders. - Identify process improvements, automation opportunities, and risk mitigation strategies. - Foster a culture of quality-first development, automation, and innovation. Candidate Requirements - Bachelor s or Master s degree in Computer Science, IT, or related field. - 8+ years of experience in QA/testing, including manual, automated, and hybrid testing. - Proven experience leading QA teams and managing hybrid testing projects. - Hands-on experience with AI/ML, GenAI, Agentic AI, autonomous agents, and RPA validation is highly preferred. - Solid knowledge of microservices, APIs, cloud deployments, CI/CD, and DevOps integration. - Familiarity with healthcare RCM systems and HIPAA/SOC 2 compliance is preferred. Technical Expertise : - Manual Testing: Functional, regression, integration, end-to-end, UAT - Automation Tools: Selenium, Cypress, TestNG, JUnit, Appium, or similar - AI/LLM/GenAI Testing: Agentic AI, autonomous agents, multi-agent workflows, feedback loops - RPA Testing: UiPath, Automation Anywhere, Blue Prism integration with AI workflows - Microservices API Testing: REST API, SOAP, event-driven system validation, Postman, SoapUI - Cloud DevOps Integration: AWS, Azure, GCP, Docker, Kubernetes, CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation) - Big Data Analytics: Snowflake, Spark, Hadoop, Redshift (for AI/agentic workflows testing) - Compliance: HIPAA, SOC 2, PHI masking, audit trail validation. Skillset : - Strong leadership, team management, and mentoring skills. - Ability to design QA strategy for hybrid testing across AI, cloud, RPA, and microservices environments. - Analytical mindset for complex distributed systems, AI workflows, and multi-agent orchestration. - Excellent communication and collaboration with product, development, AI/ML, and DevOps teams. - Detail-oriented with a focus on quality, compliance, and risk management. Strategic Impact : - Ensure high-quality, compliant, and reliable releases for all RCM modules. - Validate autonomous AI/agentic workflows and RPA processes for operational excellence. .