Lead Software Engineer

🏢 Humana · all 248 jobs
📍 United States
💰 USD 129,300 - 177,800 / annual
📅 Posted Sep 16, 2026 · via Himalayas
🏷 Software Engineer, API Engineer, Graphql Engineer, Backend Engineer, Platform Engineer, Lead Software Development Engineer +8 more
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Humana is seeking a hands-on Lead Engineer to guide the design, development, and delivery of enterprise APIs, GraphQL services, and microservices that support Humana and CenterWell digital experiences.
In this role, you will provide technical leadership across engineering teams, help drive delivery execution, and ensure solutions are secure, scalable, resilient, observable, and ready to support emerging AI-enabled experiences. You will partner closely with Product Owners, Architects, business stakeholders, API governance teams, and engineering teams to deliver high-quality platform capabilities that serve both traditional applications and next-generation AI use cases.
Location : Louisville, KY or Dallas, TX (Work At Home with occasional office visits)
What You Will Do

- Lead the design, development, and implementation of enterprise APIs, GraphQL services, REST APIs, microservices, and event-driven capabilities.

- Provide hands-on technical leadership through architecture discussions, design reviews, coding, troubleshooting, performance tuning, and mentoring.

- Guide API design decisions across REST and GraphQL patterns, including schema design, resolver design, query optimization, federation considerations, API composition, versioning, and backward compatibility.

- Drive sprint execution and delivery accountability to ensure teams meet commitments with consistent quality.

- Partner with Product Owners, Architects, and business stakeholders to evaluate requirements, assess technical feasibility, and deliver scalable solutions.

- Establish and promote engineering best practices for API design, GraphQL schema governance, API security, quality, observability, resiliency, and operational excellence.

- Support modernization initiatives using cloud-native architecture, automation, CI/CD, DevOps practices, containers, and API gateway patterns.

- Champion production readiness, incident response, root cause analysis, performance optimization, and continuous improvement.

- Help evolve enterprise services so they can be securely consumed by web and mobile applications, enterprise platforms, GraphQL clients, AI agents, copilots, and agentic workflows.

- Support API onboarding, documentation, governance, cataloging, and deployment practices across enterprise API platforms and gateways.

Use your skills to make an impact

Required Qualifications

- Bachelor's degree in Computer Science or related field.

- 10+ years of software engineering experience in large-scale enterprise environments.

- 3+ years of technical leadership experience.

- 1-2 years of experience in designing APIs, GraphQL services, and microservices for AI agents, copilots, and LLM-powered applications.

- Strong experience with Java, Spring Boot, REST APIs, GraphQL, microservices, Kafka, and distributed systems.

- Experience building cloud-native solutions on Azure, AWS, or similar platforms.

- Expertise with Kubernetes, Docker, CI/CD, DevOps, observability, monitoring, and SRE practices.

- Strong knowledge of API design, governance, security, and enterprise integration patterns.

- Experience with GraphQL technologies including Apollo, GraphQL Java, Spring for GraphQL, and Federation.

- Working knowledge of OAuth 2.0, OpenID Connect, IAM, Ping Identity, and ForgeRock.

- Proven ability to lead teams, mentor engineers, and deliver in Agile environments.

- Strong analytical, problem-solving, and decision-making skills.

AI & Emerging Technology Experience

- Familiarity with MCP, agent skills, tool calling, and agent-to-agent communication.

- Working knowledge of LLMs, RAG, AI orchestration frameworks, and enterprise AI platforms.

- Understanding of AI evaluation, data quality, validation, and governance practices.

- Ability to build secure, reusable, AI-ready services and documentation.

Preferred Qualifications

- Master's degree and relevant AI, IAM, or cloud certifications.

- Experience in healthcare, ph

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