Top Remote Software Engineer Jobs in Atlanta, GA

Leads the design, development, testing, deployment, and maintenance of scalable full-stack web applications. Coordinates frontend and backend developers, translates requirements into technical plans, reviews code, mentors engineers, assigns tasks, monitors delivery, troubleshoots technical issues, and contributes to architecture decisions. Oversees APIs, databases, integrations, deployments, releases, security, performance, documentation, and application improvements while collaborating with product, design, and business teams.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

The Staff Engineer will lead cross-functional teams, focus on AI development practices, ensure scalable engineering, and evolve system architecture at ParentSquare.

Develop and integrate game features using Unity, C#, and various APIs while ensuring game performance and quality standards are met.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

The Engineering Leader will oversee the architecture and reliability of AI improvement products, focusing on backend systems, scalability, and technical leadership.

The C# / .NET Developer will design and maintain middleware applications, build Shopify integrations, and support a mobile app backend in a remote work environment.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

The Backend Engineer will architect and optimize execution and matching infrastructure for low-latency trading systems, focusing on performance with a strong systems background.

Lead the development of analytics infrastructure for clinical AI/ML products, focusing on product performance monitoring, data management, and cross-functional collaboration.