Salary
≈ $26k – $57k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
First seen by Alion on Sep 30, 2026.
Overview
Company
Impact
Profile match
McKesson Compile is an IT company that transforms complex datasets into clean, analytics-ready data for life science companies, ensuring high-fidelity data enriched with modeled variables and values.
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.
The core responsibilities for the job include the following:
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.
Requirements:
- 8+ years of software engineering experience.
- 1+ years of people leadership, team lead, or engineering management experience.
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, and 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.
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