Software Engineer 2

Humana•Louisville, KY

1d•Hybrid

About The Position

The Software Engineer codes software applications based on business requirements. Work involves moderately complex to complex issues requiring in-depth evaluation of variable factors. The role standardizes software quality assurance procedures, oversees testing and debugging, develops fixes, and researches complaints to resolve complex software-related issues. The engineer begins to influence department strategy, makes decisions about technical approaches for project components, and exercises considerable latitude in determining objectives and approaches without direction. The engineer partners with business stakeholders, product owners, architects, engineers, and platform teams to understand objectives, requirements, workflows, and success criteria. They lead technical discovery and turn ambiguous requirements into architecture, implementation plans, and engineering deliverables. The role designs, develops, tests, deploys, and supports scalable full-stack applications spanning web, backend, cloud, data, automation, and AI-enabled use cases. It also includes building prototypes and production solutions for automation and digital transformation, integrating enterprise-approved AI capabilities, and implementing CI/CD and deployment practices. This is a hybrid role based in Louisville, KY. For new hires, approved hiring locations are Nashville, TN; Louisville, KY; Dallas, TX; and Tampa, FL. The role is not eligible for remote work. Candidates must reside in or be willing to relocate to an approved location and work onsite according to team and business requirements. The position is scheduled for 40 hours per week and is eligible for a bonus incentive plan.

Requirements

Bachelor's degree or equivalent/relevant experience in lieu of the degree requirement.
At least 3 years of full-stack engineering experience designing, building, testing, and supporting modern applications across front-end, back-end, cloud, and DevOps environments.
At least 3 years of hands-on experience with modern front-end technologies or patterns such as React, Angular, Vue.js, Next.js, React Native, iOS, or Android.
At least 3 years of back-end engineering experience with Node.js, .NET, or Java, including RESTful APIs, microservices, event-driven services, authentication, authorization, performance optimization, observability, and error handling.
Experience with relational and NoSQL databases, cloud platforms, and containerized application environments. Examples include SQL Server, PostgreSQL, MySQL, MongoDB, Azure, AWS, Google Cloud, Docker, Kubernetes, AKS, GKE, or EKS.
Strong DevOps and secure engineering experience, including Git-based workflows, pull requests, code reviews, CI/CD automation, pipeline-as-code using YAML or equivalent, automated deployments, scripting, code quality tooling, and secure software supply chain practices.
Practical experience applying AI-enabled capabilities to software engineering, automation, application integration, productivity, or business process improvement, including APIs, SDKs, cloud AI services, generative AI, LLMs, embeddings, semantic search, or retrieval-augmented generation patterns.
Must reside in or be willing to relocate to an approved hiring location and work onsite in accordance with team and business requirements.

Nice To Haves

Experience with enterprise API management platforms, API gateway solutions, or large-scale API governance patterns.
Real-world experience using Claude Code, Codex, or other assistive coding technology.
Experience with GitOps-based deployment models and tools such as ArgoCD.

Responsibilities

Partner with business stakeholders, product owners, architects, engineers, and platform teams to understand business objectives, technical requirements, workflows, and success criteria.
Lead technical discovery sessions and translate ambiguous requirements into architecture, implementation plans, and engineering deliverables.
Design, develop, test, deploy, and support scalable full-stack applications across web, backend, cloud, data, automation, and AI-enabled use cases.
Build responsive and maintainable front-end applications using modern frameworks such as 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, identity, networking, serverless, managed databases, monitoring, and logging services.
Build prototypes, proofs of concept, and production-ready solutions for automation, AI-enabled workflows, and digital transformation initiatives.
Integrate AI capabilities into applications using enterprise-approved AI platforms, APIs, SDKs, and cloud AI services.
Design and implement automation for business processes, software delivery, testing, monitoring, reporting, operational support, and developer productivity.
Collaborate with product management and core engineering teams to provide field feedback and influence solution design, platform patterns, and roadmap priorities.
Implement CI/CD pipelines, pipeline code, automated testing, release and deployment automation, and environment promotion practices.
Standardize software quality assurance procedures, oversee testing and debugging, and develop fixes.
Research complaints and make adjustments or recommendations to resolve complex software-related issues.
Make technical approach decisions for project components and contribute to department strategy.