Software Engineering Manager

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.

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)

We are looking for a Manager of Software Engineering to lead high-impact product and platform engineering teams building scalable healthcare applications.

This is a hybrid leadership role requiring:

• 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

You will also 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.

Key Responsibilities

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)

Actively participate in:

• 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)
• Scalable frontend design using React + TypeScript

Ensure systems meet expectations for:

• Scalability
• Performance
• Security (especially PHI/PII handling)
• 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 (Copilot, Windsurf) to:

• Improve engineering velocity
• Reduce repetitive work
• 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
• Building observable systems (logs, metrics, traces) for better diagnostics

Talent Management

• Hire strong engineers in a competitive market
• Build a high-performance culture

Mentor engineers across levels:

• Technical growth (design, coding, debugging)
• Career progression
• Ownership mindset

Handle:

• Performance management
• Low performance correction
• Offshore/onshore collaboration

Delivery & Execution Excellence

Own end-to-end delivery across:

• Backend services
• APIs
• UI integrations
• Data flows

Enforce:

• CI/CD discipline
• Testing rigor (unit + integration)
• Release quality standards

Partner with:

• Product Managers
• QA teams
• DevOps / Platform teams

Minimum Requirement

Must-Have Skills

Technical

• 10–15 years of software engineering experience
• Strong hands-on experience with:
• Java + Spring Boot (microservices, REST APIs)
• React.js + TypeScript

Experience with:

• Distributed systems / microservices architecture
• SQL databases (Oracle/Postgres)
• Event-driven systems (Kafka or similar)
• 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
• Delivering complex projects

AI-First Expectations (Non-Negotiable)

Candidates must demonstrate:

• 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

What Success Looks Like

• 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
• 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

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McKesson job postings are posted on our career site: careers.mckesson.com.