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. 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. Key Responsibilities 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 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com .