Job Description:
Engineering Manager to lead sprint execution, drive software delivery quality, and manage a team of software engineers across healthcare technology initiatives. This is a hands-on leadership role combining technical depth with people management and delivery accountability.
Primary Responsibilities
Sprint Execution & Delivery
• Lead sprint execution with the scrum team; participate in daily scrum calls
• Ensure the team meets sprint goals (committed deliverables) and quality standards (defect reduction)
• Serve as the first point of escalation for delivery and quality challenges during sprint execution
Team & Resource Management
• Own resource planning, forecasting, and onboarding of new team members (software setup, technical KT)
• Drive team building, development, and continuous improvement
Technical Leadership
• Sizing and estimation for new initiatives, projects, and backlog features
• Collaborate with technical architecture teams on design for new projects and features
• Partner with Product Owners/Product Managers to understand product vision, objectives, and metrics
• Create and maintain effective software delivery frameworks that ensure quality
• Establish and enforce code review processes, adherence to coding standards
• Establish automated quality control processes (CI/CD pipelines including standards checks, automated functional, security, and performance testing)
• Ensure technical design and code are maintainable, reusable, scalable, and performant
Required Qualifications
• 8+ years of experience in software engineering
• Proven experience in software delivery management
• Experience managing a team of software engineers
• Strong technical background in Java, Spring Boot, React JS, or comparable modern tech stacks
• Experience with Agile/Scrum delivery methodologies
• Hands-on experience establishing CI/CD pipelines and engineering best practices
Preferred Qualifications
• Healthcare payer/provider domain experience
• Experience with cloud-native architectures (Azure, AWS)
• Familiarity with AI/ML integration in software delivery
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