Top Software Engineer Jobs in Nashville, TN

Lead full-stack development for Caterpillar Financial’s Artemis platform using React, TypeScript, Python or Node.js, AWS, and generative AI. Design scalable features, enterprise integrations, reusable engineering patterns, automated tests, and CI/CD practices. Support production deployments, troubleshoot complex issues, guide architecture and security decisions, mentor developers, review code, and translate stakeholder feedback into technical solutions. The role requires building reliable, secure, and compliant AI-enabled workflows in a regulated financial-services environment.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Develop and maintain internal full-stack applications using C#/Blazor or Python. Build CI/CD pipelines and infrastructure automation with GitLab, Azure DevOps, GitHub, Artifactory, and SonarQube. Partner with cross-functional teams to improve software delivery, code quality, security, compliance, and operational visibility. Implement scalable enterprise solutions, infrastructure as code, secure development practices, and DevSecOps workflows.

Design, develop, operate, and support mission-critical cloud-native software services for Ford’s connected vehicle platform. Lead architecture and delivery of distributed microservices, improve reliability, observability, performance, security, and scalability, and manage incident response. Provide technical leadership through design reviews, standards, mentoring, roadmap influence, and cross-functional collaboration with product, operations, and platform teams.

Develop and maintain backend services for OppFi’s financial technology platform. Responsibilities include building Java applications and services, collaborating in an Agile environment, conducting code reviews and testing, documenting best practices, and refining technical requirements into production-ready solutions. The role uses AWS, Docker, PostgreSQL, APIs, and related cloud-native technologies.

Lead design and delivery of full-stack basketball scoring, statistics, and postgame features. Build scalable backend services and APIs with TypeScript and Node.js, develop React web experiences, support iOS and Android products, and make architectural decisions. Collaborate across product, design, and engineering teams, ensure code quality and system reliability, mentor peers, and contribute to technical standards and tools.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Build and operate scalable, customer-facing full-stack software for Samsara’s safety products. The role involves developing web, mobile, API, and platform capabilities; integrating LLMs, agentic workflows, and RAG; evaluating AI quality; and improving reliability, scalability, and operational health. The engineer collaborates with Product, Design, ML, and platform teams while owning features from concept through production.