Sr. Software Engineer

Senior Software Engineer (P2) – Full Stack (Java, Spring Boot, React) 

Location: Bangaluru, India (Hybrid) 
Experience: 4–7 years 
Domain: Healthcare Technology (Oncology / Clinical Platforms) 

We are looking for a Senior 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

• 4–7 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 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