About McKesson Compile
Established in 1833, McKesson is a US Fortune 10 global leader in healthcare supply chain management solutions, retail pharmacy, healthcare technology, community oncology, and specialty care. We partner with life sciences companies, manufacturers, providers, pharmacies, governments, and other healthcare organizations to help provide the right medicines, medical products, and healthcare services to the right patients at the right time, safely and cost effectively.
Based in Bangalore India, McKesson Compile’s data is a comprehensive, full linked system of record for the US Healthcare market, with intelligence on 2M+ healthcare professionals (HCPs) and over 800K facilities. Compile’s data includes high capture medical and pharmacy claims, closed capture Medicare claims (100%), along with best-in-class provider affiliations and customer master.
At McKesson we deliver careers with purpose and potential. Our focus on better health starts with creating an inclusive environment with strong values where you can build a fulfilling career. You can count on us to provide you with resources and opportunities to grow and be your best, while contributing to our pursuit of improving lives.
Software Engineer – Full Stack (Java, Spring Boot, React)
Location: Bangaluru, India (Hybrid)
Experience: 2–5 years
Domain: Healthcare Technology (Oncology / Clinical Platforms)
We are looking for a Full Stack Software Engineer 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, 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
- 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 (GitHub Copilot, Windsurf, Claude or 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.
- Evaluate AI‑generated code for security and data handling risks.
- Evaluate AI‑generated code for performance and scalability.
- Apply AI responsibly in code generation, debugging, and clear documentation.
- Create unit test cases and improve coverage.
- Design systems that are AI‑friendly (clear APIs, structured data, consistent contracts), observable and diagnosable using logs, metrics, and traces, and 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 reusable, well‑documented services that are easy for other products to integrate.
- Follow best practices in API design, microservices architecture, CI/CD, and DevOps pipelines.
Minimum Requirements
Degree or equivalent relevant experience.
Must‑Have Skills
- 2–5 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 1–2 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)
- Practical use of AI coding assistants in the development workflow.
- Ability to review, validate, and production‑harden AI‑generated code.
- Understanding that AI accelerates development but engineers remain accountable for design, correctness, and quality; a habit of blindly copying copilot output is not allowed.
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.
- 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.