Top Senior Software Engineer Jobs in Nashville, TN

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

Develops and maintains backend and cloud-native supply chain software supporting warehouse, transportation, fulfillment, inventory movement, and order workflows. Designs APIs, event-driven services, integrations, databases, and distributed systems; diagnoses defects, improves performance and security, and contributes to roadmaps. Coordinates team work, supports requirements analysis, mentors junior teammates, and helps deliver reliable solutions using Azure, Kubernetes, CI/CD, and observability tools.

Design, build, test, and maintain low-latency, high-throughput trading services on an Aeron-based platform. Expand trading protocol features, migrate workflows to the new stack, optimize performance and scalability, support production reliability, and collaborate with cross-functional teams while using AI-assisted development tools.

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

Develop and maintain high-volume, mission-critical enterprise web applications using C#/.NET, ASP.NET MVC, AngularJS, and SQL Server. Responsibilities include full lifecycle development, architecture and design participation, troubleshooting, performance and scalability improvements, AI-assisted workflow development, Agile collaboration, technical mentoring, and supporting multi-tier systems.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Build and maintain full-stack systems for a global monitoring application supporting federal partners and satellite data access. Responsibilities include designing scalable backend services and frontend applications, improving architecture and infrastructure, integrating complex customer requirements, and owning mission-system quality and availability. The role requires collaboration across teams throughout the engineering lifecycle and experience with cloud infrastructure, observability, geospatial data, and complex integrations.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

Lead design and implementation of Doowiis frontend, backend, and data systems. Define architecture, build scalable ingestion and analytics pipelines, optimize storage and query performance, ship AI-driven features (LLM/text-to-SQL, embeddings), improve observability and deployment, and mentor engineers while partnering with product and ML teams.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered applications with LLMs, GenAI agents, RAG pipelines, semantic search, vector databases, and LLMOps practices. Collaborate across teams, optimize performance, troubleshoot issues, participate in code reviews, and create responsive user interfaces.

As a Staff Software Engineer, you will define technical strategy for Drive-Thru solutions, standardize Android practices, and ensure seamless integration between mobile clients and backend services while mentoring peers.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

Lead technical design, build, and operate scalable, secure healthcare integration systems. Drive architecture, event-driven distributed systems, APIs, observability, IaC, CI/CD, incident response, cross-functional delivery, and mentor engineering teams.

Develop and maintain spacecraft flight software across the full lifecycle: requirements, design, implementation, testing, integration with HIL and flight hardware. Build tools and simulations, perform subsystem and platform-level tests, support anomaly resolution, systems modeling, and proposal efforts while collaborating with manufacturing and customers.

Provide technical leadership to design, develop, integrate, and support enterprise customer-data solutions using Salesforce Data Cloud and related cloud, API, and streaming technologies. Mentor junior engineers, collaborate with stakeholders, perform root cause analysis, and document solutions across front-end, back-end, and data layers.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Lead the architecture and evolution of managed Kubernetes and cloud-native services. Provide cross-team technical oversight, standardize platform practices, integrate open-source technologies, improve scale, performance, security, and operational efficiency, and mentor engineering teams. The role requires expertise in Kubernetes-based platforms, container runtimes, cloud-native architectures, and Go, Python, or Bash.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Build and maintain the AI-powered learning platform across a TypeScript/React frontend and Python/FastAPI backend. Integrate LLMs for classification, extraction, personalization, and conversation practice. Design scalable APIs, develop real-time interactive features, apply AI-assisted development workflows, write well-tested code, and collaborate with product, design, and education teams to optimize learning experiences and A/B tests.

Define and own autonomy architecture for large-scale UAV swarms: design perception, planning, control, and inter-robot/C2 protocols; make system tradeoffs; mentor engineers; write production-quality code; support test events (up to 25% travel).

Join an early-stage platform team to scale and mature a mortgage origination platform. Work across the stack to improve distributed systems, performance, observability, and infrastructure tooling, and help define engineering standards and frameworks for growth.