Software Engineer, Backend Developer, DevOps

The Software Engineer codes software applications based on business requirements. The Software Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

For new hires, this position is limited to the following approved hiring locations:

Nashville, TN

Louisville, KY

Dallas, TX

Tampa, FL

This role follows a hybrid work model and is not eligible for remote work. Candidates must reside in, or be willing to relocate to, one of the approved locations and work onsite in accordance with team and business requirements.

The Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Research complaints and make necessary adjustments and/or recommendations to resolve complex software related issues. Begins to influence the department's strategy. Makes decisions regarding technical approaches for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

This is a hybrid role in Louisville, KY.

• 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 clear 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/Next.js.

• Design and implement backend services, APIs, integrations, and microservices using Python

• Develop cloud-native solutions using Azure/ Google Cloud Platform/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 solutions 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 automation, deployment automation, and environment promotion practices.

• Bachelor's Degree or equivalent/relevant experience in lieu of degree requirement.

• Minimum 3 years' experience in full-stack engineering experience designing, building, testing, and supporting modern applications across front-end, back-end, cloud, and Dev Ops environments.

• 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 development patterns.

• 3+ years' experience in 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 working with relational and No
  
  SQL databases, cloud platforms, and containerized application environments, including technologies such as SQL Server, PostgreSQL, MySQL, MongoDB, Azure, AWS, Google Cloud, Docker, Kubernetes, AKS, GKE, or EKS.

• Strong Dev Ops 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 use of APIs, SDKs, cloud AI services, generative AI, LLMs, embeddings, semantic search, or retrieval-augmented generation patterns.

• Experience with enterprise API management platforms, API gateway solutions, or large-scale API…