Software Engineer
Mckesson
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What software roles keep asking for: AWS (24%), Python (23%), Java (23%), System design (20%), Kubernetes (18%), C++ (17%), Observability (16%), CI/CD (13%) — counted across their open postings here.
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Preparing for this interview
Interviews for software roles keep coming back to AWS, Python, Java, System design. Practise those questions before you sit with Mckesson.
Questions you are likely to be asked
- Why do you want to join Mckesson?
- What is your experience with Java? Tell me one thing you learned the hard way.
- Walk me through a system you built. How was it designed, and what would you change now?
- Tell me about a hard bug you tracked down. How did you find the cause?
- How do you decide what to test, and what does good code review look like to you?
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Practise the Software Engineer at Mckesson interview free →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 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 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) 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 . 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 .
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Listed on workday · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Mckesson, not by us.