Software Engineer II

Humana

Confirmed live today High trust

Closes in 3 days Hybrid

Quick summary

Work type: Hybrid
Location: Louisville, KYNashville, TNTampa, FLDallas, TX
Salary: $80,900–$110,300 / yr
Employment: Full-time
Posted: 2 days ago
Freshness: Confirmed live today
Closes: Oct 14, 2026 (soon)
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $147k

This role $96k

$68k $203k

below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $124,000–$169,050 — the blue band above. At the midpoint, this role pays about $96k versus about $147k for comparable roles.

Based on 240 similar postings.

Employer

About Humana

Humana Inc. is a leading American for-profit health insurance company based in Louisville, Kentucky, specializing in Medicare Advantage plans.

Humana currently has 51 open roles on FindRole.

Listed pay typically runs $129,300–$177,800 across 30 roles with salary data.

Most-posted roles

View all roles at Humana

At a glance

TL;DR · Software Engineer II

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The Software Engineer II joins the engineering team to develop software applications based on complex business requirements. This role involves performing in-depth evaluations of variable factors to solve moderately complex to complex issues. Key responsibilities include standardizing quality assurance procedures, overseeing testing and debugging, and making technical decisions for project components. The engineer will design, develop, and support scalable full-stack applications, including front-end interfaces and backend microservices. Required technologies include Vue.js, React, Angular, Next.js, Python, Node.js, .NET, and Java. The role utilizes cloud platforms like Azure, AWS, and Google Cloud Platform, alongside Docker and Kubernetes. Additionally, the position involves implementing CI/CD pipelines and integrating AI-enabled capabilities, such as LLMs and retrieval-augmented generation, to drive digital transformation and business process automation.

What does a Software Engineer earn in Tennessee?

Median $174600 from 53 postings across 6 companies.

See salary data

Skills

Python React Angular Vue.js Next.js Node.js .NET Java AWS Azure Google Cloud Platform Docker Kubernetes PostgreSQL MySQL SQL Server MongoDB CI/CD Git ArgoCD RESTful APIs Microservices Generative AI LLMs React Native iOS Android YAML

What you'll do

Design, develop, test, deploy, and support scalable full-stack applications across web, backend, cloud, and data platforms.
Build responsive front-end applications using modern frameworks like Vue.js, React, Angular, or Next.js.
Design and implement backend services, APIs, integrations, and microservices using Python.
Develop cloud-native solutions using Azure, Google Cloud Platform, or AWS including compute, storage, and networking.
Integrate AI capabilities into applications using enterprise-approved AI platforms, APIs, SDKs, and cloud AI services.
Implement CI/CD pipelines, automated testing, release automation, and environment promotion practices.
Design and implement automation solutions for business processes, software delivery, testing, and monitoring.
Lead technical discovery sessions to translate ambiguous requirements into clear architecture and engineering deliverables.

What we're looking for

Bachelor's Degree or equivalent/relevant experience in lieu of degree requirement.
Minimum 3 years' experience in full-stack engineering designing, building, testing, and supporting modern applications.
Minimum 3 years' experience in hands-on experience with modern front-end such as React, Angular, Vue.js, Next.js, React Native, iOS, or Android.
3+ years' experience in back-end engineering with Node.js, .NET, or Java, including RESTful APIs, microservices, and performance optimization.
Experience working with relational and NoSQL databases, cloud platforms, and containerized application environments like SQL Server, PostgreSQL, Azure, AWS, or Docker.
Strong DevOps and secure engineering experience, including Git-based workflows, CI/CD automation, and secure software supply chain practices.
Practical experience applying AI-enabled capabilities to software engineering, including use of APIs, SDKs, generative AI, LLMs, or retrieval-augmented generation.
Experience with enterprise API management, GitOps-based deployment models, or assistive coding technology (preferred).