Senior Full Stack AI Software Engineer (Java)

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

About the role

McKesson Pharmacy Systems (MPS) is seeking a Senior Full Stack AI Software Engineer to help build and modernize the next generation of pharmacy technology solutions. In this role, you will design, develop, and deploy cloud-based applications using Java, Angular, Spring Boot, PostgreSQL, Azure, and modern AI-assisted engineering tools. Working closely with product managers, architects, and engineering teams, you will play a key role in delivering scalable, secure, and highly reliable software solutions that support critical pharmacy operations using an AI-native SDLC methodology. This is a hands-on engineering position that combines application development, technical leadership, cloud-native architecture, and AI-enabled software engineering practices.

Responsibilities

• Design, develop, test, and deploy full-stack applications using Java, Spring Boot, Angular, TypeScript, and PostgreSQL.
• Build and maintain REST APIs and microservices using modern architecture principles and OpenAPI/Swagger standards.
• Leverage approved AI development tools, including GitHub Copilot and Claude, to improve engineering productivity, code quality, testing coverage and efficiency.
• Evaluate AI-generated code for security, performance, scalability, maintainability, and functional accuracy.
• Develop user interfaces and administrative tools that support business workflows and operational efficiency.
• Create scalable, event-driven solutions using technologies such as Kafka and distributed messaging platforms.
• Architect and optimize core AI agent orchestration layer and runtime harness to handle complex, multi-step task execution, model routing.
• Ensure end-to-end quality across user interfaces, APIs, databases, integrations, and event-driven services.
• Implement automated testing, CI/CD pipelines, and continuous delivery best practices.
• Utilize observability and monitoring tools to improve application reliability and production support.
• Participate in architecture reviews, code reviews, and technical design discussions.
• Mentor engineers through knowledge sharing, design collaboration, and engineering best practices.
• Partner with cross-functional teams to deliver high-quality software solutions in an Agile environment.

Requirements

• Minimum Education & Typical Experience or Equivalent Combination: Degree or equivalent experience and typically requires 7+ years of relevant software engineering experience.
• 7+ years of software development experience.