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 a backend-first full-stack role (70% backend / 30% frontend) where you will primarily work on Java and 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, Windsurf, and Claude are used to accelerate development with a strong expectation that you validate, refine, and productionize outputs to meet security by design with enterprise-grade standards.

The core responsibilities for the job include the following:

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, and performance and scalability.
• Apply AI responsibly in code generation, debugging, clear documentation, unit test case creation, and coverage improvement.
• Design systems that are AI-friendly (clear APIs, structured data, and consistent contracts), observable and diagnosable using logs, metrics, and traces, and security by design.

Engineering Quality and Delivery:

• Write clean, maintainable, well-tested code (unit and 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 4+ years of relevant experience.
• 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 and TypeScript (at least 2-3 years).
• Solid experience with SQL and relational databases (Oracle/Postgres) and 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 the development workflow.
• Ability to review, validate, and production-harden AI-generated code.
• Understanding that: AI accelerates development, but 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, and Docker / Kubernetes.