Jobs / United States / Humana INC
Principal Software Engineer, Intelligent Quality Solutions
Humana INC · 🇺🇸 Remote Nationwide · Remote
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 roles2 certified filings for “Senior Software Quality Testing Engineer” (Software Quality Assurance Analysts and Testers) in OH: $91k–$103k, median $97k. Most were filed at wage level II (50%) — 2 lottery entries, ≈31% 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's Enterprise Quality Engineering organization transforms how software quality is engineered across the enterprise. We are building an AI-native quality engineering ecosystem that combines intelligent platforms, enterprise knowledge, automation, and agentic AI to change how software is designed, tested, released, and improved. The Principal Software Engineer, Intelligent Quality Solutions is a senior individual contributor responsible for building enterprise capabilities that support this transformation. This is a hands-on engineering role for an experienced technology leader who enjoys solving complex technical challenges, building production-ready software, and converting latest AI technologies into scalable enterprise solutions. You will engineer intelligent applications and AI-enabled services. You will also develop reusable frameworks and autonomous agents. These components serve as the foundation of the Enterprise Quality Intelligence Platform and the broader Enterprise Quality Engineering ecosystem. Your success requires deep software engineering expertise, demonstrated experience building AI-powered applications in production, and a strong passion for experimentation, innovation, and continuous learning. Responsibilities • Develop AI-powered software solutions for Enterprise Quality Engineering. • Develop intelligent applications, AI services, APIs, and reusable frameworks. • Create and enhance AI agents that improve software testing, quality, and engineering productivity. • Build scalable, secure, and production-ready enterprise software. • Integrate AI capabilities into software development and quality engineering processes. • Evaluate latest AI technologies and prototype solutions. • Provide technical leadership, architecture guidance, and mentorship across engineering projects. • Partner with engineering, architecture, product, security, and data teams to create enterprise solutions. • Establish best practices for AI development, governance, security, and observability. • Help shape the long-term AI and quality engineering strategy. Use your skills to make an impact Required Qualifications • Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related field. • 12 or more years of experience designing and building enterprise software applications, services, or platforms. • Hands-on experience designing, developing, deploying, and supporting AI-powered software applications in production environments. • Demonstrated experience building applications that use large language models, generative AI, agentic AI, machine learning, or modern AI orchestration frameworks. • Strong software engineering expertise across cloud-native architectures, APIs, distributed systems, modern design patterns, and secure software development. • Experience building scalable enterprise platforms or reusable enterprise capabilities. • Experience integrating AI capabilities into enterprise software products, platforms, or engineering workflows. • Proven success working in innovative, experimentation-driven engineering environments where rapid prototyping, continuous learning, and technical curiosity are core to team success. • Demonstrated ability to independently lead complex technical initiatives from concept through production implementation. • Strong understanding of DevOps, CI/CD, observability, engineering governance, and software lifecycle management. • Excellent communication skills, with the ability to influence technical direction across multiple teams and communicate effectively with both technical and executive stakeholders. Preferred Qualifications • Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or