Jobs / United States / Humana INC

Humana INC

Software Engineer

3 Locations Posted today

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Skills this job asks for

Electronic health recordsCI/CDAgileTranslation

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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.
  • 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.
  • What Humana INC paid sponsored hires in similar roles34 certified filings for “Senior Software Engineer” (Software Developers) in KY: $124k–$136k, median $131k.
  • 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
34 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).

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   We are seeking a Software Engineer with experience developing, testing, and supporting production applications. The preferred candidate will have exposure to Epic or a similar healthcare technology platform and experience using Claude or comparable AI-assisted development tools to support coding, debugging, testing, documentation, and technical analysis. Working closely with cross-functional partners, this individual will help deliver secure, scalable, and maintainable solutions while contributing to application reliability, software quality, and engineering efficiency. The ideal candidate will bring strong problem-solving skills, responsible technical judgment, and demonstrated achievements such as reducing defects, improving performance, automating processes, increasing test coverage, or accelerating software delivery. Key Responsibilities • Design, develop, test, deploy, and maintain reliable software applications based on business requirements and technical specifications. • Use Claude and other AI-assisted development tools to support coding, debugging, documentation, test creation, code analysis, and solution design while following established security and quality standards. • Translate functional and non-functional requirements into scalable, maintainable, secure, and supportable technical solutions. • Support the development, integration, or enhancement of solutions within Epic or a comparable healthcare technology platform. • Troubleshoot complex application issues, research production incidents, identify root causes, and implement sustainable fixes. • Participate in code reviews and contribute clean, maintainable, reusable, and well-documented code. • Strengthen software quality through unit testing, integration testing, automated testing, defect resolution, and continuous improvement of quality assurance practices. • Collaborate with product owners, business partners, architects, analysts, quality engineers, and other cross-functional stakeholders to understand priorities, dependencies, and desired outcomes. • Contribute to continuous integration and continuous delivery practices, including automated build, testing, deployment, and release processes. • Identify opportunities to use AI-assisted development responsibly to improve developer productivity, accelerate delivery, and enhance code quality. • Follow established engineering, data privacy, security, documentation, and software development lifecycle standards. • Work with moderate independence in an evolving and sometimes ambiguous environment, taking ownership of assigned work while seeking guidance when appropriate. • Share technical knowledge, lessons learned, reusable solutions, and development best practices with the broader team. • Contribute to improvements in developer experience, team efficiency, application reliability, and consumer-facing outcomes. Required Qualifications • Bachelor’s degree in computer science, Information Systems, Software Engineering, or a related technical field. • 3 to 5 years of professional experience in software engineering, application development, systems analysis, or a related technical discipline. • Hands-on experience designing, coding, testing, debugging, and maintaining software applications in a production environment. • Practical experience using Claude or a comparable generative AI development assistant to support activities such as code generation, refactoring, debugging, technical documentation, test creation, or solution analysis. • Ability to evaluate, validate, and improve AI-generated code rather than relying on generated output without appropriate technical review. • Experience with source control, pull requests, code reviews, branching strategies, and

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