Overview
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, fully 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.
Position: Manager – Software Engineering (Full Stack, AI-First)
Location: Bangalore, India (Hybrid)
Experience: 10–15 years
Role Type: Hybrid – Hands-on + People Leadership
Domain: Healthcare Technology (Oncology / Clinical Platforms)
Responsibilities
- Lead high-impact product and platform engineering teams building scalable healthcare applications.
- Strong technical depth in full-stack development (Java + Spring Boot + React); Hands-on involvement in architecture and engineering decisions.
- Proven people leadership — hiring, mentoring, and scaling high-performing teams.
- Lead teams in an AI-first engineering culture, using tools like GitHub Copilot and Windsurf to improve developer productivity without compromising quality, maintainability, or security.
- Engineering Leadership (Core Responsibility):
- Lead and grow a team of 5–8 engineers across backend and frontend.
- Drive delivery of high-quality, production-grade software aligned with business goals.
- Own team execution: Sprint commitments, risk management, delivery predictability.
- Establish strong engineering culture: Accountability, Ownership, Clean code practices, Design discipline.
- Technical Leadership (Non-Negotiable): system design and architecture decisions; API design and microservices standards; code reviews for critical components.
- Guide teams on Java + Spring Boot microservices architecture, event-driven systems (Kafka or equivalent), and scalable frontend design using React + TypeScript.
- Ensure systems meet expectations for scalability, performance, security (PHI/PII handling), and reliability.
- This is not a purely managerial role; ability to deep-dive into code and design when required is essential.
- AI-First Engineering Leadership: drive adoption of AI tools to improve engineering velocity, reduce repetitive work, and accelerate testing and documentation; establish guardrails for AI usage (no blind copy-paste from AI-generated code; mandatory validation for correctness, security, and performance); encourage AI-assisted testing and debugging and building observable systems for better diagnostics.
Qualifications
- Minimum Requirement
- Must-Have Skills:
- Technical
- 10–15 years of software engineering experience
- Strong hands-on experience with Java + Spring Boot (microservices, REST APIs) and React.js + TypeScript
- Experience with distributed systems / microservices architecture, SQL databases (Oracle/Postgres), event-driven systems (Kafka or similar), and strong debugging and production issue handling skills.
- Leadership: 3–5 years of engineering management experience; proven track record of hiring strong engineers, managing and mentoring teams, and delivering complex projects.
- AI-First Expectations (Non-Negotiable): practical use of AI coding assistants in development workflows; ability to review, validate, and production-harden AI-generated code; strong engineering discipline in an AI-assisted environment.
- 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.
Success Metrics
- Consistent delivery of high-quality, production-ready features.
- Strong engineering culture with high ownership and low defect leakage.
- Effective use of AI to improve speed without lowering standards.
- Systems built are scalable, observable, and reusable.
Why Join Us
- Build healthcare systems impacting patient outcomes.
- Work on modern architecture with AI-driven engineering workflows.
- Opportunity to shape engineering practices at scale.
Note: McKesson has cautioned about online recruiting-related scams. McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application, do not communicate via Gmail/Hotmail, and may use Gia for certain recruiting communications. McKesson job postings are on careers.mckesson.com.