Manager - Software Engineering
Quick Summary
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,
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.
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.
Responsibilities
~1 min readLead 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.
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.
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.
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.
Requirements
~1 min readHealthcare 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.
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.
Experience mentoring engineers and leading feature teams.
Proven ability to deliver complex projects in Agile environments.
Experience collaborating with globally distributed teams.
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.
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.
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- September 28, 2026
- First seen
- October 11, 2026
- Last seen
- October 11, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 19%
- Scored at
- October 11, 2026
Signal breakdown
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