Top Software Engineer Jobs in Nashville, TN

Build and maintain backend services, APIs, relational database integrations, automated tests, and Blazor web interfaces. Implement features and bug fixes, participate in code reviews, improve observability, and help operate deployments using containers, CI/CD pipelines, and Kubernetes. The role is designed for early-career engineers who will collaborate with senior team members, use AI coding assistants, document their work, and progressively take ownership of larger platform components.

Develop and maintain Salesforce solutions, Apex code, platform configurations, data flows, and API integrations. Identify and implement system enhancements, troubleshoot complex Salesforce and data issues, support production operations, and maintain technical documentation. Collaborate in Agile processes, manage software changes through the SDLC, contribute to integrations with enterprise platforms, and mentor junior team members as appropriate.

Designs and delivers full-stack software features for electromagnetic warfare test and mission systems. Integrates TCP/IP-connected radios, instruments, servers, and rack components; builds accessible Angular interfaces; supports system evaluation, installation, testing, and sustainment. Develops data pipelines, warehouses, visualizations, threat-signal processing, software distribution tools, and on-premises LLM assistants. Works in Agile and DevSecOps environments while tracking project hours and assisting with effort estimates.

The Supervisor manages an application development team, oversees projects, guides staff, ensures compliance with IT standards, and mentors junior members.

Leads a team of software engineers building and operating scalable AWS cloud-native applications. Establishes architecture and technical direction across Java, Spring Boot microservices, OpenSearch, CI/CD, observability, and AWS infrastructure. Drives modernization, scalability, security, reliability, performance, and DevOps automation. Mentors engineers, supports incident resolution, improves development processes, and owns delivery of business-critical solutions.

Engineering Manager responsible for leading multiple Agile engineering teams, including hiring, performance management, coaching, and career development. Owns end-to-end delivery of scalable, reliable, secure AWS and data-intensive systems; drives CI/CD, DevSecOps, observability, and delivery improvements. Manages cross-team execution, stakeholder communication, incident response, compliance, and client-facing technical discussions. Contributes to engineering strategy, organizational design, communities of practice, and federal proposal development.

Designs and maintains high-volume HL7 and FHIR ingestion pipelines, secure Epic and hospital integrations, data validation systems, and compliant healthcare data exchanges. Builds enterprise SaaS microservices using ReactJS, Python, and AWS services; optimizes distributed and hybrid-cloud environments; leads testing, code reviews, production troubleshooting, architecture documentation, and customer communications. Preferred experience includes Epic App Orchard, healthcare integration engines, clinical workflows, GenAI/ML, DevOps, data pipelines, and NoSQL.

Lead the architecture and modernization of a complex enterprise SaaS platform while remaining hands-on with critical software design and development. Define technical direction, improve scalability, reliability, security, performance, and maintainability, and guide design and code reviews. Partner across engineering and product teams, resolve complex technical challenges, establish engineering standards, mentor engineers, and translate architectural strategy into practical delivery.

Own the architecture and technical direction of conversational AI and voice-ordering systems. Design reliable, low-latency backend services for live drive-thru traffic, lead cross-system integrations with POS and hardware, improve AI evaluation and observability, mentor engineers, and resolve complex production issues involving real-time audio, distributed services, and third-party integrations.

Design, implement, and operate stateful backend services emphasizing explicit state machines, exactly-once processing, idempotency, outbox-based reliable side effects, concurrency correctness, observability, and AI-assisted engineering. Lead architecture reviews, mentor engineers, and collaborate with platform, data, and QA teams to ensure deterministic, auditable, and resilient lifecycle management and recovery.