Top Remote Python Jobs in Atlanta, GA

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

Lead and grow an engineering team, set technical vision, drive delivery of scalable secure systems, partner with product/design, establish engineering practices (Agile, CI/CD, TDD), mentor engineers, and promote innovation to advance Function's healthcare platform.

As a Gameplay Engineer, you'll design and refine networked gameplay systems, iterate on features, and collaborate with designers and back-end engineers.

The Senior Backend Software Engineer will design and scale backend systems using Python and FastAPI, collaborate with researchers, optimize infrastructure, and implement testing and monitoring systems.

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

Design, implement, and maintain scalable, secure multi-cloud infrastructure (Azure and AWS) using IaC; build and optimize CI/CD pipelines; automate operations and database deployment; implement observability and security controls (HIPAA/SOC2); lead incident response and mentor engineers.

Develop scalable web applications using React and Next.js, implement backend solutions in Python, maintain DevOps practices, and collaborate with AI/ML teams to deploy applications.

The PHP Developer will design and architect web applications using the LAMP stack, collaborate with teams, optimize performance, ensure security, mentor junior developers, and conduct code reviews.

As an Embedded Perception Engineer, you'll develop perception pipelines for autonomous systems, focusing on vision model development, sensor fusion, and optimization on embedded hardware.

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

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

As a Forward Deployed Engineer, you will work with GTM teams, helping them maximize the use of Endgame's AI platform, build customer relationships, and drive adoption while influencing product direction.

The Senior Snowflake Data Engineer will lead the creation of a data vault and warehouse on Snowflake, develop automated data pipelines, and work closely with architects to deliver insights for business operations.

This role involves owning and evolving the backend platform for AI employees, mentoring engineers, optimizing system performance, and driving architectural decisions at Supernal.

As a Google Cloud Architect, you will design, implement, and optimize secure Google Cloud solutions, develop APIs, and collaborate with teams to enhance cloud infrastructure for the Border Wait Time project.

The Senior MLOps Engineer will deploy scalable ML services, optimize resources, manage cloud storage, integrate advanced ML techniques, and set up monitoring solutions, while also automating CI/CD pipelines and workflows.

Lead design and delivery of integrations platform features (SDKs, agents, pipelines). Improve integration authoring, reliability, scalability, observability, and developer tooling. Partner across product and customer teams, mentor engineers, and evaluate emerging technologies to scale integration development and agent-based workflows.

The Senior AWS Engineer coordinates with teams to analyze outages, deploy applications, optimize performance, and automate processes, while maintaining documentation.

The DevOps Lead will design, build, and maintain CI/CD pipelines, manage cloud native applications, and improve infrastructure development using various automation and scripting tools.

The DevOps Engineer will manage cloud services, automate builds, collaborate with partners, and enhance system infrastructures for improved efficiency.

Lead technical discussions and design scalable, cloud-native applications on AWS. Migrate services to microservices architectures and advise on best practices.

The AI Assisted Software Engineer will design and develop enterprise software solutions, utilizing AI-assisted tools, and architect scalable systems while collaborating across teams to improve business operations.

Design, build, and own Marathon's core cloud platform (primarily AWS). Implement IaC (Terraform), automation, self-service, and reliability-by-design. Define platform standards, embed security and compliance (SOC2/HIPAA/HITRUST) into workflows, reduce incidents through better design, and mentor other engineers.

Design and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.

The Staff Engineer will lead the Systems team, design scalable cloud infrastructure, optimize data pipelines, and ensure platform reliability and security.