Senior AI Full-Stack Engineer (Java) – Hybrid & Cloud

McKesson Corporation

Irving (TX)

Hybrid

USD 126,000 - 210,000

Full time

2 days ago
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Job summary

McKesson Pharmacy Systems (MPS) is seeking a Senior Full Stack AI Software Engineer to design, develop, and deploy cloud-based applications using Java, Angular, Spring Boot, PostgreSQL, and Azure. You will work with product managers and architects to deliver scalable, secure software supporting critical pharmacy operations through an AI-native SDLC.

You will lead full-stack development, build microservices, and apply AI-assisted tooling to improve code quality, testing, and production readiness

Qualifications

  • 7+ years of software development experience.
  • Hands-on experience with Java, Spring Boot, and RESTful API development.
  • Experience developing web apps using Angular, React, Vue, Next.js, or similar JS frameworks.
  • Experience leveraging AI-assisted software development tools and workflows.
  • Strong knowledge of SQL and PostgreSQL.
  • Experience with event-driven architectures and messaging technologies like Kafka.

Responsibilities

  • Design, develop, test, and deploy full-stack applications using Java, Spring Boot, Angular, TypeScript, and PostgreSQL.
  • Build and maintain REST APIs and microservices following OpenAPI/Swagger standards.
  • Evaluate AI-generated code for security, performance, and reliability.
  • Develop user interfaces and admin tools to support business workflows.
  • Create scalable, event-driven solutions using Kafka and distributed messaging.

Skills

Java
Spring Boot
RESTful API
Angular
TypeScript
PostgreSQL
AI development tools
CI/CD
Kafka
Docker

Tools

Kafka
Docker
Hibernate/JPA

Job description

McKesson Pharmacy Systems (MPS) is seeking a Senior Full Stack AI Software Engineer to design, develop, and deploy cloud-based applications using Java, Angular, Spring Boot, PostgreSQL, and Azure. You will work with product managers and architects to deliver scalable, secure software supporting critical pharmacy operations through an AI-native SDLC.

You will lead full-stack development, build microservices, and apply AI-assisted tooling to improve code quality, testing, and production readiness

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