Senior Manager - Software Engineering

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.

Senior Manager – Software Engineering (Full Stack, AI-First)

Location: Bangalore, India (Hybrid) Experience: 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 15+ years of software engineering experience

Deep expertise in backend engineering (Java/Spring Boot/microservices) and sufficient experience leading full-stack teams, including modern frontend technologies such as React.

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 .