This is a backend-first full-stack role (~70% backend / 30% frontend) where you will primarily work on Java + Spring Boot microservices, while contributing to React-based UI layers to deliver complete end-to-end features.
You will also operate in an AI-first engineering environment, where tools like GitHub Copilot and Windsurf, Claude are used to accelerate development — with a strong expectation that you validate, refine, and productionize outputs to meet the security by design with enterprise-grade standards.
Key Responsibilities
Full Stack Development
Design and build scalable microservices using Java, Spring Boot, and REST APIs
Define clear API contracts (OpenAPI/Swagger) with consistent error handling and versioning
Implement event-driven architectures using Kafka or equivalent messaging systems
Build high-performance data access layers using JPA/Hibernate and Oracle/Postgres
Develop and enhance UI components using React.js and TypeScript
Build integration layers and admin UIs to support backend workflows
Ensure end-to-end flow validation (UI → API → DB → events)
Ensure production-grade reliability: transaction safety, idempotency, and error recovery
AI-First Engineering Mindset (Critical)
Actively use AI tools (e.g., GitHub Copilot, Windsurf, Claude or any other Mckesson approved tools) to:
Accelerate coding, refactoring, and test generation
Improve developer productivity without compromising maintainability
Critically evaluate AI-generated code for
Correctness and edge cases
Security and data handling risks
Performance and scalability
Apply AI responsibly in
Code generation, debugging, and clear documentation
Unit Test case creation and coverage improvement
Design systems that are
AI-friendly (clear APIs, structured data, consistent contracts)
Observable and diagnosable using logs, metrics, and traces
Security by design
Engineering Quality & Delivery
Write clean, maintainable, well-tested code (unit + integration tests)
Participate in code reviews, design discussions, and architecture decisions
Work in Agile teams with strong accountability & ownership of delivery
Diagnose and resolve production issues using observability tools, such as Dynatrace
Platform & System Thinking
Build services that are
Reusable
Well-documented
Easy for other products to integrate
Follow best practices in
API design
Microservices architecture
CI/CD and DevOps pipelines
Minimum Requirement
Degree or equivalent and typically requires 5+ years of relevant experience.
Must-Have Skills
5–7 years of software development experience in product/enterprise environments
Strong hands-on experience with
Java (17+) and Spring Boot
REST API design and microservices architecture
Experience with React.js + TypeScript (at least 2–3 years)
Solid experience with
SQL and relational databases (Oracle/Postgres)
ORM tools (Hibernate/JPA)
Experience with
Event-driven systems (Kafka or similar)
Caching (Redis or similar)
CI/CD pipelines and Git-based workflows
Automated testing practices
Strong debugging and production issue analysis skills
AI-First Expectations (Non-Negotiable)
Candidates must demonstrate
Practical use of AI coding assistants in development workflow
Ability to review, validate, and production-harden AI-generated code
Understanding that
AI accelerates development
Engineers are still accountable for design, correctness, and quality
If someone blindly copies Copilot output, this role is not for them.
Technical Leadership
Provide technical leadership for day-to-day delivery; clarify requirements, drive design discussions, and align implementation details across the team
Mentor and support engineers through pair-programming, constructive code reviews, and knowledge sharing
Promote consistent engineering practices (testing, documentation, observability) and help the team deliver predictably by breaking work into well-scoped stories and identifying risks early
Foundational
Clear written and verbal communication — ability to document services and explain technical decisions
Good-to-Have Skills
Healthcare domain experience
Familiarity with
FHIR / HL7 / C-CDA standards
HIPAA compliance and PHI/PII handling
Experience with
Databricks / data pipelines
Elasticsearch / Redis
Docker / Kubernetes
What Success Looks Like
Deliver production-ready features end-to-end, not just code
Build systems that are scalable, observable, and reusable
Improve team productivity using AI without degrading quality
Contribute to raising engineering standards across the team
Why This Role Stands Out
Work on real-world healthcare systems impacting patient outcomes
Exposure to modern architecture + AI-driven engineering practices
Opportunity to build platform-grade services used across multiple teams
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
