Senior Full Stack AI Software Engineer; Java)

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.

• Design, develop, test, and deploy full-stack applications using Java, Spring Boot, Angular, Type Script, and PostgreSQL.
• Build and maintain REST APIs and microservices using modern architecture principles and OpenAPI/Swagger standards.
• Leverage approved AI development tools, including Git Hub 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.

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.
• Hands-on experience with Java, Spring Boot, and RESTful API development.
• Experience leveraging AI-assisted software development tools and workflows.
• Experience developing web applications using Angular, React, Vue, Next.js, or similar JavaScript frameworks.
• Robust experience designing low-latency agent execution looks that natively manage multi-step tool execution (harness, orchestrator concepts).
• Strong knowledge of SQL and relational databases, including PostgreSQL.
• Experience with event-driven architectures and messaging technologies such as Kafka.
• Experience with source control, CI/CD pipelines, and modern software delivery practices.
• Experience developing and executing automated tests.
• Strong troubleshooting, debugging, and production support skills.

• Experience with Azure cloud services and cloud-native application development.
• Experience with Docker and containerized deployments.
• Experience using ORM technologies such as Hibernate or JPA.
• Familiarity with Redis or other caching technologies.
• Experience with feature management tools such as Launch Darkly or Optimizely.
• Experience with database migration tools such as Liquibase or Flyway.
• Experience with observability and monitoring tools, including Dynatrace.
• Experience working with distributed tracing, metrics, and structured logging.
• Previous experience in healthcare, pharmacy, or highly regulated industries.

This is a hybrid position. The selected candidate will work onsite at our Las Colinas office a minimum of two days per week, with the remaining days worked remotely. In-office days may vary based on business and team needs.

General office work requiring extended periods of sitting, computer use, communication, and collaboration in both virtual and in-person environments.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any…