Jobs / United States / Humana INC
Director, Software Engineering - Platform & Tool Development
Humana INC · 🇺🇸 7 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 roles1 certified filing for “Director, Data Engineering” (Computer and Information Systems Managers) in NY: $261k–$261k, median $261k. Most were filed at wage level IV (100%) — 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 committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences. The Director, Software Engineering (Platform & Tool Development) is a senior technology leader responsible for the engineering, architecture, development, delivery, and support of Humana's Enterprise Quality Engineering (EQE) technology ecosystem, including the Enterprise Quality Engineering Platform (EQE+), AI Workspace, AI-powered engineering tools, quality engineering applications, developer enablement solutions, automation platforms, and enterprise shared services. This leader will oversee multiple engineering teams responsible for designing, developing, modernizing, and operating business-critical platforms and applications that support quality engineering, automation, AI adoption, engineering productivity, and enterprise delivery excellence. The Director will provide both strategic and hands-on technical leadership, ensuring engineering teams deliver highly scalable, secure, cloud-native solutions that meet enterprise reliability, performance, and operational excellence standards. The role requires deep expertise in modern software engineering, cloud platforms, distributed systems, AI-enabled technologies, platform engineering, and application development. The Director will partner closely with Architecture, Product Management, Quality Engineering, DevOps, Security, Data & Analytics, and business leaders to deliver innovative technology solutions that accelerate Humana's digital transformation and engineering effectiveness initiatives. Key Responsibilities Engineering Strategy & Technology Leadership • 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. Application Development & Platform Engineering • 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. AI Engineering & Innovation • 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