Top Remote Software Engineer Jobs in Nashville, TN

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

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.

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

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.

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 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.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

Lead design and implementation of health data products, mentor engineers, own multiple projects, and develop scalable data solutions using modern technologies.

The Senior Software Engineer will lead development, mentor engineers, and create data solutions using TypeScript, React, and Python. Responsibilities include designing applications, driving innovation, and ensuring high-quality user experiences.

Lead design and implementation of products, mentor engineers, drive innovation, and build scalable data solutions using modern tech stack.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Review applications and product changes before release to ensure compliance and quality. Validate and document findings, provide actionable feedback to engineering and operations, verify fixes, maintain review documentation, and improve internal review processes to ensure consistent, high-quality releases.

Design, implement, and operate scalable, fault-tolerant web crawling and extraction pipelines processing massive web data. Write production Java/Python code, build ETL/ELT pipelines (BigQuery/Snowflake), use Kafka, Kubernetes (GKE/EKS), Terraform, and Airflow, and improve observability, reliability, and collaboration with product and data science teams.

Lead quality efforts across backend services, APIs, and customer-facing apps. Design and implement automated test frameworks, build custom tooling and load testing solutions, improve testing pipeline scalability, mentor engineers, and apply GenAI/LLMs to testing and test-generation challenges.

As a Staff Software Engineer, you'll design and deliver a core data platform, focusing on architecture, pipeline components, and AI integration. This hands-on role emphasizes creating production code and establishing technical standards within a small team.

Design, implement, and maintain automated and manual tests across unit, component, integration, and end-to-end levels. Build scalable test frameworks, automate UI and API tests, run performance/load tests, produce test reports, report regressions, and collaborate with agile teams to influence design and ensure product testability and scalability.

Build and maintain high-performance Ruby on Rails services on a Rails/AWS/Kubernetes stack. Own end-to-end feature development, optimize DB queries and APIs, support legacy modernization and new product growth, participate in on-call rotation, and drive CI/CD, testing, and architectural improvements.

Lead design and rewrite of cloud-native core systems. Build scalable back-end services and front-end features, drive architecture and testing discussions, mentor engineers, and improve telemetry, performance, and reliability.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.