Jobs / United States / Humana INC
Lead Software Engineer
Humana INC · 🇺🇸 3 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Humana INC paid sponsored hires in similar roles34 certified filings for “Senior Software Engineer” (Software Developers) in KY: $124k–$136k, median $131k. Most were filed at wage level IV (86%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Humana INC
The US Department of Labor certified 260 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 130 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Humana INC →
About the role
Become a part of our caring community 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. •