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Salary
≈ $31k – $82k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 9+ years exp

First seen by Alion on Oct 20, 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 candidate will have responsibilities across the following functions:


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.
  • 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.

Skills

java, javascript, react, react.js, spring, spring boot

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