Senior Software Engineer

Mckesson Corporation

Bengaluru

Ibrido

INR 1.500.000 - 2.100.000

Tempo pieno

3 giorni fa
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Descrizione del lavoro

McKesson Compile in Bengaluru, India, seeks a Senior Software Engineer – Full Stack to design, build, and operate scalable healthcare applications. This backend-first role (~70% backend / 30% frontend) focuses on Java + Spring Boot microservices, with React-based UI work and an AI-first engineering approach.

You will work in an AI-enabled environment using tools like GitHub Copilot, Windsurf, and Claude, while ensuring security by design and robust production readiness.

Competenze

  • 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 (2–3 years).
  • SQL and relational databases (Oracle/Postgres).
  • ORM tools (Hibernate/JPA).
  • Event-driven systems (Kafka or similar).

Mansioni

  • Design and build scalable microservices using Java, Spring Boot, and REST APIs.
  • Define 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 Hibernate/JPA 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.
  • Write clean, maintainable, well-tested code (unit + integration).
  • Participate in code reviews, design discussions, and agile delivery.

Conoscenze

Java (17+) & Spring Boot
REST API design
React.js + TypeScript
SQL (Oracle/Postgres)
Hibernate/JPA
Kafka
AI tools in development
UI development

Formazione

Degree or equivalent

Strumenti

GitHub Copilot
Windsurf
Claude

Descrizione del lavoro

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)

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

      • Is not for those who blindly copy Copilot output

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

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