All open jobs
McKesson

Senior Software Engineer

IND, 8th Floor of Onyx Building (I009) · full-time
Company's own boardMaster's degree5–7 yrs

First seen Oct 23 · seen live today · from McKesson's own Workday board

Skills mentioned

typescriptjavareactspringsqlpostgresredisrestdockerkuberneteskafkadevopsci/cdgit

The posting, as published

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. Senior Software Engineer   – Full Stack (Java, Spring Boot, React)     Location:   Bangaluru, India (Hybrid)   Experience:  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)   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 .

Similar open roles