Director, Software Engineering - Platform & Tool Development

Humana is hiring a Director of Software Engineering to lead the engineering, architecture, delivery, and support of its Enterprise Quality Engineering technology ecosystem. The role oversees platform and application development, AI-enabled engineering tools, cloud modernization, and engineering teams while partnering with business and technology stakeholders.

Responsibilities:

• Define and execute the technology vision, engineering strategy, and delivery roadmap for EQE+, AI Workspace, AI-powered engineering tools, and shared EQE applications
• Drive software engineering excellence through modern architecture patterns, coding standards, engineering best practices, and operational discipline
• Establish scalable technology solutions aligned with Humana's enterprise architecture and business objectives
• Lead platform modernization initiatives leveraging cloud-native architectures, microservices, APIs, containerization, and event-driven architectures
• Serve as the senior technical leader responsible for engineering execution, technical direction, and delivery outcomes across the EQE technology portfolio
• Oversee end-to-end software development lifecycle activities including design, development, testing, deployment, operations, and continuous improvement
• Lead engineering teams responsible for the development and maintenance of:
• Enterprise Quality Engineering Platform (EQE+)
• AI Workspace
• Quality engineering tools
• Developer Enablement Solutions
• Shared engineering services and applications
• Ensure high availability, scalability, performance, security, and maintainability across all platforms and applications
• Drive adoption of reusable services, components, frameworks, and enterprise development standards
• Lead engineering initiatives leveraging AWS and Azure cloud platforms
• Establish cloud-native engineering practices supporting scalability, resiliency, observability, and operational excellence
• Partner with DevOps and Platform Engineering teams to establish CI/CD pipelines and automated deployment strategies
• Lead engineering efforts for AI-enabled platforms, tools, and services across the EQE organization
• Partner with enterprise AI teams to integrate Generative AI, Machine Learning, and intelligent automation capabilities into engineering platforms and workflows
• Oversee development of AI-powered applications that improve engineering productivity, quality engineering effectiveness, and operational efficiency
• Evaluate emerging AI technologies and drive adoption of innovative solutions that create measurable business value
• Guide teams in implementing AI governance, security, compliance, and responsible AI practices
• Provide hands-on technical leadership and architectural guidance to software engineers, technical leads, and engineering managers
• Mentor teams on software development methodologies, system design, cloud technologies, AI integration, and engineering best practices
• Conduct design reviews, architecture reviews, code reviews, and technical assessments
• Assist teams in resolving complex technical challenges, performance bottlenecks, scalability concerns, and production issues
• Collaborate with Product Management, Architecture, Quality Engineering, Security, Operations, and Business Leadership teams
• Manage engineering priorities, resource allocation, delivery commitments, and technical dependencies
• Communicate engineering strategy, progress, risks, and outcomes to executive leadership and key stakeholders
• Drive successful delivery of strategic technology initiatives across the EQE organization
• Build, develop, and retain high-performing software engineering teams
• Provide coaching, mentoring, and career development opportunities for engineers and technical leaders
• Support workforce planning, succession planning, and organizational growth initiatives
• Promote a culture of inclusion, collaboration, innovation, and continuous learning
• Establish technical career paths and engineering development programs

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
• 12+ years of software engineering and application development experience
• 5+ years of engineering leadership experience leading large-scale software development teams
• Proven experience leading development and delivery of enterprise applications, platforms, and cloud-native solutions
• Strong hands-on software development experience utilizing:
• Java, Spring Boot, RESTful APIs, Microservices Architecture, PostgreSQL, React, JavaScript/TypeScript
• Extensive experience with cloud platforms including:
• Strong experience with CI/CD tools, DevOps practices, Infrastructure as Code, and modern software delivery methodologies
• Experience developing scalable, highly available enterprise applications and shared services
• Strong understanding of distributed systems, API ecosystems, event-driven architectures, and platform engineering
• Excellent problem-solving, communication, stakeholder management, and leadership skills
• Experience developing AI-enabled applications, platforms, and engineering productivity solutions
• Familiarity with Generative AI, Large Language Models (LLMs), AI agents, and AI-assisted software development
• Experience supporting quality engineering, software testing, automation, developer enablement, or engineering productivity platforms
• Experience within healthcare, insurance, financial services, or other highly regulated industries
• Knowledge of Kubernetes, Docker, OpenShift, Terraform, GitHub, Azure DevOps, and modern observability platforms
• Advanced degree in Computer Science, Engineering, or related discipline