Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Humana INC paid sponsored hires in similar roles3 certified filings for “Associate Director, Technology Solutions” (Computer and Information Systems Managers) in KY: $154k–$179k, median $162k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 roles
- 3 certified filings for “Associate Director, Technology Solutions” (Computer and Information Systems Managers) in KY: $154k–$179k, median $162k. 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).
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.
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 enable exceptional member and provider experiences.
The Director, Segment Quality Engineering is a strategic technology leader responsible for advancing quality engineering practices across a defined portion of Humana’s technology portfolio. Reporting to the AVP, Quality Engineering – Segment, this role will lead teams responsible for delivery quality, test automation, release readiness, and continuous improvement across multiple product and application teams.
This leader will work closely with Product, Engineering, Architecture, Platform, DevOps, and enterprise quality partners to embed quality throughout the software development lifecycle and improve release confidence, delivery speed, and production stability.
Responsibilities
• Lead quality engineering strategy and execution across a defined portfolio, domain, or segment.
• Lead and develop quality engineering managers, leads, engineers, and SDETs; drive organization design, talent growth, and team performance.
• Establish portfolio quality goals, KPIs, and governance to improve delivery quality, release readiness, and production stability.
• Embed built-in quality across planning, design, development, testing, and deployment.
• Oversee test strategy and execution across functional, integration, end-to-end, regression, and release validation.
• Own portfolio-level quality risk management, including defect trends, release concerns, environment issues, and cross-team dependencies.
• Drive automation-first practices and integrate quality signals, validation, and gates into CI/CD pipelines.
• Lead adoption of AI-enabled quality engineering capabilities and promote innovative practices that improve speed, coverage, and reliability.
• Sponsor modernization of quality frameworks, tooling, and test approaches for APIs, distributed systems, and cloud-native platforms.
• Oversee non-functional quality practices, including performance, resiliency, operational readiness, and security validation.
• Use metrics and production insights to drive continuous improvement, maturity, and investment priorities.
• Partner with segment and enterprise stakeholders to align execution with broader quality engineering strategy, standards, and reference architecture direction.
• Ensure responsible adoption of AI and compliance with applicable security, privacy, regulatory, and operational standards.
Use your skills to make an impact
Required Qualifications
• Bachelor’s degree or equivalent experience.
• 10+ years of experience in software engineering, quality engineering, testing, or related technical disciplines.
• 5+ years of leadership experience managing quality engineering, test automation, or software delivery teams in large enterprise environments.
• Experience leading quality engineering execution across multiple agile teams or a complex application/product portfolio.
• Demonstrated success driving quality engineering modernization, including automation, tooling, process improvement, and metrics-driven execution.
• Strong understanding of Agile, DevOps, and CI/CD practices.
• Experience with API, UI, integration, regression, and end-to-end testing approaches.
• Familiarity with distributed systems and modern application architectures.
• Strong communication and stakeholder management skills, with the ability to influence cross-functional leaders.
• Experience working in matrixed organizations and leading geographically distributed teams.
• Proven experience leading adoption of AI capabilities within Quality Engineering processes.
• Demonstrated success leveraging AI
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