Senior Software Engineer

We are looking for a Senior Software Engineer (Full Stack to design, build, and operate scalable, mission-critical healthcare applications. This is abackend-first full-stack role (~70% backend / 30% frontend)where you will primarily work on Java + Spring Boot microservices, while contributing toReact-based UI layers to deliver complete end-to-end features. You will also operate in anAI-first engineering environment, where tools like GitHub Copilot, Windsurf, and Claude are used to accelerate development — with a strong expectation that you validate, refine, and productionize outputs to meet security-by-design and enterprise-grade standards

The candidate will have responsibilities across the following functions:

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 usingJPA/Hibernate and Oracle/Postgres.
• Develop and enhance UI components using React.js and TypeScript.
• Build integration layers and admin UIs to support backend workflows.
• Ensureend-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 and 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 and ownership of delivery.
• Diagnose and resolve production issues using observability tools, such as Dynatrace.

Platform and 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

Requirements:

• Degree or equivalent and typically requires 5+ years of relevant experience.
• 5-7 yearsof 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 scalable, observable, and reusable systems.
• Improve team productivity using AI without degrading quality.
• Help raise engineering standards across the team.