Top Software Engineer Jobs in Nashville, TN

Lead the design, development, reliability, scalability, and operational excellence of Humana’s Next Best Action platform. Build platform services, automated testing, observability, resilience, and production-readiness capabilities across distributed systems. Write production code, manage and mentor engineers and contractors, establish quality standards, and coordinate with platform, data, decisioning, orchestration, and activation teams. Ensure high performance, traceability, fault tolerance, and compliance in a regulated healthcare environment.

Develop and maintain mature full-stack web applications, resolve technical debt and bugs, write technical specifications, deliver features through code review and QA, identify product improvements, mentor engineers, and collaborate across support, product, and operations teams. The role emphasizes scalable, secure development, automated testing, agile processes, cloud deployment, and continuous learning.

Lead a small engineering team while building production-grade frontend and backend systems. Design GraphQL and REST APIs, develop React and Node.js applications, support data ingestion and ETL workflows, and own cross-domain technical initiatives. Drive Agile execution, delivery tracking, architecture, testing, performance, and engineering quality. Mentor engineers, collaborate with Product stakeholders, and use AI-assisted development tools to improve delivery efficiency.

Assist in engineering tasks, prepare reports and designs for projects, collaborate with Senior Engineers, and use design software to solve engineering problems.

Develop and maintain enterprise mainframe COBOL applications supporting order processing, warehouse, billing, sales, and credit systems. Responsibilities include requirements gathering, solution design, coding, testing, quality assurance, deployment, integration with MQ and APIs, workflow evaluation, project coordination, and production support. The role provides technical leadership, enforces development standards, collaborates with users and product owners, and mentors other engineers. It is hybrid, requiring four days per week at the LaVergne, Tennessee headquarters.

Lead modernization of legacy ASP.NET applications into React, TypeScript, and modern .NET services. Guide architecture, coding, testing, security, code reviews, and technical standards while contributing production code. Use AI tools such as Cursor and Claude for development and modernization, mentor engineers, collaborate across product and security teams, and oversee application reliability, maintenance, and continued development.

Develops and implements scalable geospatial systems using ArcGIS, QGIS, cloud GIS, APIs, and microservices. Applies spatial analysis, optimizes geospatial data workflows, integrates GIS with enterprise platforms and visualization tools, and incorporates AI/ML and real-time data services. Collaborates with stakeholders, contributes to architecture and documentation, and mentors junior developers.

Leads enterprise software architecture and development across the product lifecycle. Defines technical direction, designs secure and scalable solutions, guides hands-on engineering, and drives modernization, automation, integrations, infrastructure-as-code, testing, reliability, and operational excellence. Collaborates with product, quality, and business stakeholders while mentoring engineers and managing delivery execution.

Leads the Americas IT organization, technology roadmap, software development lifecycle, modernization of legacy and cloud platforms, enterprise integrations, architecture, security governance, reliability, budgets, vendors, and engineering teams. Oversees systems supporting logistics operations, including WMS, TMS, billing, customer portals, and 24/7 operational infrastructure. Drives cloud migration, DevOps maturity, AI/ML adoption, organizational development, and delivery of resilient, secure technology solutions.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.