Senior Software Engineer

About McKesson Compile

Qualifications

• 5–7 years
• Domain: Healthcare Technology (Oncology / Clinical Platforms)
• We are looking for a Senior Software Engineer - Full Stack to design, build, and operate scalable, mission-critical healthcare applications.
• 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)
• Accelerate coding, refactoring, and test generation
• Improve developer productivity without compromising maintainability
• Correctness and edge cases
• Security and data handling risks
• Performance and scalability
• Code generation, debugging, and clear documentation
• Unit Test case creation and coverage improvement
• 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
• Reusable
• Well-documented
• Easy for other products to integrate
• 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
• Java (17+) and Spring Boot
• REST API design and microservices architecture
• Experience with React.js + TypeScript (at least 2–3 years)
• SQL and relational databases (Oracle/Postgres)
• ORM tools (Hibernate/JPA)
• 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)
• Practical use of AI coding assistants in development workflow
• Ability to review, validate, and production-harden AI-generated code
• 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
• FHIR / HL7 / C-CDA standards
• HIPAA compliance and PHI/PII handling
• 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

Responsibilities

• 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
• 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
• 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
• 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.
• 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.
• 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
• Clear written and verbal communication — ability to document services and explain technical decisions
• Healthcare domain experience
• Familiarity with:
• FHIR / HL7 / C-CDA standards
• HIPAA compliance and PHI/PII handling
• Databricks / data pipelines
• Elasticsearch / Redis
• Docker / Kubernetes
• 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
• 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.