Madhu Rj

Background

About Madhu Rj

Experienced Software Engineering Manager with a strong track record of scaling engineering teams, delivering cloud-native AI and automation solutions, and driving transformation in regulated industries. Skilled in building resilient applications, implementing best practices in DevOps, and integrating cutting-edge technologies like AI and machine learning into cloud platforms. Experienced in enabling the end-to-end journey from on-premise to cloud, offering expertise in: Cloud Strategy Operating Model Transformation Cloud Development Cloud Integration & APIs Cloud Migration Cloud Infrastructure & Engineering Cloud Managed Services AI-powered Test Automation, Test Automation Frameworks, Self-Healing Tests, API & UI Testing My diverse journey spans engineering, test automation, and program leadership, enabling me to seamlessly combine deep technical expertise with execution excellence. What I Bring: Engineering Leadership: Scaled engineering teams, delivering cloud-based AI and automation solutions that drove measurable improvements in performance and regulatory compliance. Software Testing & Automation: Spearheaded the design and implementation of test automation frameworks, CI/CD pipelines, and DevOps practices, enhancing software quality and delivery efficiency. Implemented AI-driven strategies to optimize Playwright test automation, improving efficiency and accuracy in web application testing. AI & Cloud Solutions: Integrated AI/ML models into cloud-native platforms, enabling intelligent automation and enhancing decision-making capabilities. DevOps & Scalable Applications: Expertise in Kubernetes, Selenium, Python, and AWS, building resilient, scalable cloud-native applications to meet evolving business needs. Technical Program Execution & Delivery: Led complex, cross-functional initiatives, collaborating across engineering, product, and leadership teams to deliver high-impact, scalable solutions on time and within budget. I’m eager to connect with teams working on cutting-edge AI, cloud, and automation challenges and explore opportunities to drive innovative engineering solutions.