[Remote] Lead Full Stack Engineer

Note: The job is a remote job and is open to candidates in USA. Humana is a leading U.S. healthcare company providing insurance and healthcare services to help people achieve their best health. The Lead Full Stack Engineer will design, build, deploy, and scale secure AI-enabled digital solutions across enterprise environments, while leading technical direction, architecture, stakeholder collaboration, and engineering delivery. The role spans full-stack development, cloud-native platforms, AI/ML operations, production deployment, mentoring, and enterprise governance.

Responsibilities

• Be a forward-deployed technical leader embedded with business, product, architecture, and engineering partners
• Lead discovery, workflow analysis, technical scoping, and solution definition for digital and AI-enabled initiatives
• Translate ambiguous needs into secure, scalable, production-ready technical solutions
• Design, prototype, build, and deploy cloud-native applications, AI-enabled workflows, RESTful APIs, distributed services, and system integrations. Lead technical architecture, solution design, and engineering direction for business-critical platforms
• Work across the full software development lifecycle, including front-end, back-end, APIs, databases, infrastructure, deployment, monitoring, and support
• Partner with senior leaders to evaluate opportunities, define feasibility, prioritize approaches, and support decision-making
• Build prototypes and proof-of-concepts to validate business value, user experience, feasibility, and integration complexity
• Drive production implementation of AI-enabled solutions, including ML/AI pipeline integration, deployment patterns, observability, and operational readiness
• Lead hands-on engineering across platform, backend, frontend, and mobile technologies
• Mentor engineers and promote, accountability, and strong delivery practices
• Review code, technical designs, pull requests, and architecture decisions
• Collaborate with enterprise architecture, ARB/TRB, EA/EAI, AI governance, cloud onboarding, security, and operational readiness teams. - Support Cloud 3.0 and modernization initiatives, including onboarding, deployment, troubleshooting, infrastructure alignment, and security compliance
• Promote secure engineering practices, including CI/CD, pipeline as code, infrastructure as code, security as code, and secure software supply chain practices
• Optimize deployed solutions using stakeholder feedback, operational data, user behavior, and production learnings
• Document workflows, architecture decisions, deployment patterns, and support considerations. Identify reusable patterns, platform gaps, and enterprise capability improvements

Skills

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
• 8+ years of progressive IT experience, including senior-level software engineering experience on large-scale initiatives
• 2+ years of project, technical leadership, or engineering lead experience
• Strong full stack engineering experience across modern front-end, back-end, cloud, and platform technologies
• Experience building scalable web platforms, enterprise applications, highly available services, and production-grade APIs and Experience implementing, maintaining, monitoring, or integrating ML/AI pipelines
• Tech lead-level proficiency in one or more languages or frameworks such as TypeScript, Node.js, Java, Spring/Spring Boot, Vue.js, Angular, React, or similar technologies
• Experience with JSON, RESTful web services, client-server interactions, distributed systems, and microservices architecture
• Experience designing secure, scalable, cloud-native systems
• Knowledge of Azure Cloud Services or equivalent cloud platforms, infrastructure as code, security as code, and automated deployment practices
• Experience with Docker, Kubernetes, AKS, or similar containerization and orchestration technologies
• Strong understanding of Generative AI, Agentic AI concepts, AI-enabled workflow automation, and production considerations for AI solutions
• Master's degree in Computer Science, Engineering, Information Technology, or a related field
• Prior experience as a Forward Deployment Engineer, Solutions Engineer, Field Engineer, Technical Consultant, Solution Architect, or embedded enterprise engineering lead
• Experience integrating AI solutions into business workflows while accounting for compliance, governance, operational constraints, security, and enterprise standards
• Experience with Adobe Experience Platform
• Experience with Generative AI tools, AI platforms, model orchestration frameworks, or AI services on Azure, GCP, or other cloud environments
• Experience with Cloud 3.0, GitOps, Terraform, ArgoCD, AKS, or similar enterprise cloud modernization patterns
• Experience implementing CI/CD pipelines using pipeline as code
• Experience with secure software supply chain practices, dependency scanning, static code analysis, artifact management, and vulnerability remediation
• Experience with observability, monitoring, incident response, and operational support for distributed systems
• Experience working in healthcare, insurance, care navigation, benefits, member experience, or regulated enterprise environments

Benefits

• Medical, dental and vision benefits
• 401(k) retirement savings plan
• Paid time off
• Company holidays
• Personal holidays
• Paid parental leave
• Paid caregiver leave
• Short-term disability
• Long-term disability
• Life insurance
• Bonus incentive plan based upon company and/or individual performance
• Remote work arrangement with occasional travel to Humana's offices for training or meetings may be required

Company Overview

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