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Mckesson - Engineering Lead/Manager - Software Engineering

McKesson
8 - 12 Years
Bangalore

Posted on: 04/09/2026

Job Description

Engineering Lead - Manager - Software Engineering (Full Stack, AI-First)

Location: Bangalore, India (Hybrid)

Experience:

- 8+ years of software engineering experience

- 1+ years of people leadership, team lead, or engineering management experience

Role Summary:

We are seeking a hands-on Engineering Manager to lead a team of software engineers responsible for delivering scalable, secure, and high-quality healthcare applications. This role requires a balance of technical depth, execution leadership, and people management, with responsibility for enabling team success, fostering engineering excellence, and driving delivery of business priorities in a fast-paced, AI-first development environment.

Engineering Leadership:

- Lead and develop a team of 4-8 software engineers.

- Drive sprint execution and delivery commitments.

- Partner with Product Managers, QA, and platform teams to deliver business outcomes.

- Foster a culture of accountability, collaboration, and continuous improvement.

- Support hiring, onboarding, coaching, and career development of engineers.

- Provide timely feedback and performance guidance.

Technical Leadership:

- Contribute to system design and architecture discussions.

- Guide implementation of scalable Java/Spring Boot microservices and React-based applications.

- Participate in code reviews and technical design reviews.

- Drive engineering best practices around testing, code quality, observability, and maintainability.

- Support production issue investigation and resolution when required.

AI-First Engineering:

- Promote responsible adoption of AI development tools such as GitHub Copilot and Windsurf.

- Encourage AI-assisted development, testing, documentation, and troubleshooting.

- Ensure AI-generated code is reviewed for correctness, security, and maintainability.

- Help teams improve productivity through effective AI-enabled engineering practices.

Delivery Excellence:

- Ensure predictable delivery of features and platform enhancements.

- Drive adherence to CI/CD, automated testing, and release management processes.

- Monitor delivery risks and proactively address execution challenges.

- Maintain high standards for reliability, scalability, and security.

Minimum Qualifications:

Technical Skills:

- 8+ years of software engineering experience

- Strong expertise in Java, Spring Boot, REST APIs, and microservices architecture.

- Experience building and supporting React-based applications.

- Hands-on experience with distributed systems and event-driven architecture (Kafka or equivalent).

- Experience with SQL databases such as Oracle or PostgreSQL.

- Strong troubleshooting and production support skills.

Leadership Skills:

- 1+ years of people management, team leadership, or technical leadership experience.

- Experience mentoring engineers and leading feature teams.

- Proven ability to deliver complex projects in Agile environments.

- Experience collaborating with globally distributed teams.

AI-First Expectations:

- Practical experience using AI coding assistants within the software development lifecycle.

- Ability to validate and govern AI-generated code.

- Strong understanding of software quality, security, and engineering best practices.

Preferred Qualifications:

- Healthcare technology experience.

- Knowledge of FHIR, HL7, C-CDA, HIPAA, PHI/PII compliance.

- Experience with Docker, Kubernetes, Databricks, Elasticsearch, or Redis.

- Experience working in cloud-native environments.

What Success Looks Like:

- Consistently delivers high-quality features and releases.

- Builds a motivated and engaged engineering team.

- Uses AI tools effectively to improve engineering productivity.

- Demonstrates growing leadership capability while maintaining strong technical credibility.

- Drives predictable execution and contributes to a positive engineering culture.

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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