Top Software Engineer Jobs in Atlanta, GA

Lead hands-on development of user-facing Android and iOS applications, taking ownership from design through production release. Build maintainable, well-tested features, optimize performance, debug unfamiliar systems, and manage app-store publishing. Collaborate with product, design, backend, and users in an agile, remote environment. Use AI coding agents responsibly to accelerate implementation, testing, reviews, infrastructure work, and incident investigation.

Build and operate highly performant backend systems powering fraud-detection Identification APIs. Design scalable services for real-time processing, own reliability through SLIs, SLOs, observability, on-call response, and incident follow-up, and conduct capacity planning, load testing, and performance tuning. Partner on integrations, automate operational tasks, maintain production services, and mentor engineers in a globally remote environment.

Build and maintain 3D pipeline integrations, plugins, exporters, and platform connections across DCC tools and SaaS destinations. Own integrations from scoping through deployment, documentation, release, and support. Ensure asset fidelity across formats, materials, textures, scene scaling, and color spaces while troubleshooting complex multi-system pipelines. Collaborate with internal engineering teams, external platform vendors, and customers to resolve integration constraints and extend the shared integration framework.

Build and support consumer-facing full-stack features for an energy-saving platform. Responsibilities include developing TypeScript/React frontend and Python backend functionality, owning critical product flows, collaborating with product and analytics teams, working with cloud and database technologies, implementing UI and API monitoring, and participating in code reviews and agile development processes.

Lead the engineering function and remain hands-on while building an AI-powered freight billing platform. Own architecture, data infrastructure, AI/ML validation, enterprise integrations, security, CI/CD, observability, testing, and scalability. Partner with Product and Data Science to automate invoice validation, discrepancy detection, exception handling, and auditability. Build and mentor distributed engineering teams, establish technical direction, and deliver rapid MVP iterations for enterprise adoption.

Develop and launch scalable web and mobile healthcare applications, APIs, integrations, and cloud infrastructure. Contribute to the technical roadmap, observability, security, compliance, and AI/ML infrastructure. Partner with the founding team and data science leadership to incorporate LLMs, support HIPAA and SOC 2 requirements, and build reliable products for patients and enterprise healthcare customers.

Lead technical vision and system design for the Marketplace team while managing and coaching 3–5 engineers. Build scalable systems serving personalized offers, establish team processes, support onboarding, and improve collaboration across engineering, product, design, and data. The role combines engineering management with hands-on technical leadership in a remote-first startup environment.

Leads Neo4j graph database migrations to AWS, including architecture, secure deployment, data integration, performance tuning, query optimization, testing, demonstrations, developer onboarding, UAT, and go-live support. The role requires hands-on expertise with Neo4j, Cypher, AWS infrastructure, ETL tools, graph modeling, benchmarking, and stakeholder communication.

Develop software in Go and Python, review code, write design documents, and build reliable shared platforms and services for critical government systems. The role requires independent project ownership, strong engineering practices, and the ability to ramp quickly in complex environments. Work is remote-first but must be performed within the United States or its territories.

Enhance, maintain, troubleshoot, and improve existing public-facing geospatial applications for the USGS National Map. Develop with JavaScript, support AWS-based cloud data workflows using services such as Lambda, S3, and EC2, and improve code efficiency, scalability, testing, and maintainability. Collaborate with technical teams to diagnose problems and implement practical solutions. Preferred experience includes Python, modern front-end and Node.js development, REST APIs, additional cloud platforms, and Esri technologies.