Top Software Engineer Jobs in Nashville, TN

The Senior Software Engineer, Protocol will architect and develop core protocol components for a blockchain while optimizing distributed systems. Responsibilities include enhancing performance, solving distributed systems problems, and contributing to engineering standards in collaboration with research and product teams.

Develop and maintain scalable software solutions, mentor developers, and integrate AI tools. Collaborate on technical solutions aligned with business goals.

Build and maintain NMI's bank-to-bank payment systems: public APIs, internal tools, and third-party integrations. Design and develop services in Scala, TypeScript, and C#, apply TDD, own production quality and incidents, work with AWS containerized microservices, messaging, data stores, and CI/CD. Use AI-first tools to accelerate development, participate in agile processes, refactor large codebases, and collaborate with product and SRE to deliver resilient payment features.

Lead development of automated API, UI, and end-to-end tests for a real-time trading platform. Extend AI-assisted test generation, build scalable CI/CD test frameworks for order lifecycles and market-data streams, reduce flakiness, triage failures, mentor engineers, and drive quality and testability across the product.

The Senior Software Engineer will own the React Native mobile codebase, collaborate with cross-functional teams, and ensure high-quality delivery of customer-facing applications.

As a Senior Software Engineer, you will develop key product features for millions of users, collaborate with teams, and mentor others.

The Senior Software Engineer will develop and optimize systems for aerospace communications, manage project priorities, and contribute to various technical initiatives.

The Senior Software Engineer will develop and optimize systems for Aalyria's Spacetime platform, focusing on API development and wireless network algorithms.

Lead design and implementation of full-stack features across .NET back-end APIs and React front ends. Own testing, observability, performance, and production support. Mentor engineers, drive technical design and integrations, collaborate with Product/QA/DevOps/UI/UX, and champion secure engineering practices for sensitive healthcare data.

Develop and maintain PX4 autopilot firmware for UAVs, integrating sensors and payloads, and managing testing environments. Collaborate on flight operations and system integration.

As an Embedded Software Engineer, you will design and implement software for unmanned aircraft systems, debug issues, collaborate with engineering teams, and maintain high software quality standards.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.

Lead backend-focused engineering to design and ship member- and care team-facing experiences. Own architecture end-to-end, set technical direction and quality standards, mentor engineers, and deliver scalable, secure APIs with CI/CD, cloud deployments, and GenAI/LLM-informed workflows.

Design and implement backend systems and APIs in Go, contribute full-stack features with React/TypeScript, define observability data models (OpenTelemetry), lead complex cross-team projects, own production services including on-call, mentor engineers, and collaborate with product and design to deliver AI observability features.

Build and iterate growth experiments, onboarding flows, promotions, and re-engagement campaigns. Design and integrate services/APIs and cloud infrastructure, instrument and analyze product data, apply AI where useful, improve system reliability, and mentor peers to drive activation, engagement, retention, and monetization.

Design, build, test, and deploy secure mission-planning software. Maintain secure CI/CD, containerized deployments, automated testing, and security-scanning workflows. Integrate AI capabilities, investigate vulnerabilities, support remediation, produce technical design documentation, and collaborate with stakeholders and customer leads.

Build and optimize high-volume web applications using .NET, Node, React and AWS; maintain and improve existing systems; troubleshoot bugs; perform code reviews; mentor junior engineers; participate in on-call rotation; and improve scalability and performance.

The Senior Software Development Engineer will develop applications using modern programming languages, provide leadership and mentoring, ensure software quality, and lead software improvement initiatives.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

The Senior Software Engineer will build and ship full-stack features, design scalable systems, integrate AI tools, and maintain high coding standards in a fast-paced startup environment.

The role involves designing and developing a universal search platform, integrating data, leading system architecture, and mentoring junior engineers.

The role involves overseeing full-stack development, creating APIs, improving microservices, and collaborating with cross-functional teams to enhance mental health care interfaces.

The Principal Software Engineer will lead the design and build-out of an AI Context Layer, ensuring high-quality data for AI systems, while managing access control and developer interfaces, and leading cross-team projects.