Top Remote Python Jobs in Atlanta, GA

Support development of web and mobile applications, APIs, automation tools, and AI/ML integrations. Write, test, review, and document maintainable code; troubleshoot issues; optimize performance in cloud environments; assist with model deployment and validation; and collaborate with hardware, firmware, and product teams under mentorship.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Design, build, and operate scalable production backend systems in Go, including APIs, distributed services, database schemas, infrastructure, CI/CD, and Kubernetes deployments. Improve observability, reliability, performance, and production troubleshooting. Own technical problems from design through deployment while collaborating with engineering, product, and business stakeholders and helping shape architecture and engineering practices.

Design, build, and operate Rust services powering Scribd’s large-scale Content Library and core infrastructure. Own features end to end, evolve Python tooling, optimize DataFusion, Parquet, S3, caching, and PostgreSQL/Aurora systems, and strengthen governance through lineage, authorization, and deletion controls. Lead cross-functional technical projects, support platform users, mentor engineers, improve developer workflows, and maintain production reliability through observability, on-call, and incident response.

The Software Engineer is responsible for data collection and ingestion pipeline management, collaborating with scientists and leadership to enhance data quality and scale for AI initiatives.

The role involves designing and expanding backend systems, mentoring engineers, and executing technical strategies to modernize architecture and improve system performance.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

The Cloud Systems Architect will design and support cloud infrastructure, manage security, integrate services, and guide team members in cloud computing strategies.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Architect, scale, and secure AWS infrastructure using IaC and automation. Build self-service templates, maintain FedRAMP-ready configurations, support incident response, optimize performance with Datadog, and mentor junior engineers.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Design production-style DevOps tasks covering CI/CD, containers, orchestration, infrastructure as code, monitoring, and incident response. Develop reproducible reference solutions with setup and validation instructions, evaluate AI-generated outputs, identify failures, provide precise corrections, and maintain high standards for correctness. Share structured feedback to improve future task design. The contract role requires at least 20 hours weekly and professional English proficiency.

Build and review full-stack software environments for AI training. Develop frontend and backend features, integrate APIs, debug issues across UI and data layers, improve code quality, document technical reasoning, and review peer submissions. The role requires frontend and backend development experience with frameworks such as React or Angular and stacks including Node.js, Python, Java, or Go. Prior AI experience is not required.

Lead and mentor a Southeast Asia engineering team; ensure code quality and testing; drive project progress; define integrations strategy; design, build, and maintain third-party integrations; align engineering efforts with product and leadership.

Build and maintain GTM infrastructure and integrations to support Sales, Marketing, and Customer Success. Automate workflows, ensure data hygiene, create reporting pipelines/dashboards, and partner with RevOps and GTM leaders to translate business needs into scalable technical solutions.

Embed with enterprise customers to design, build, and deploy production-grade integrations and data pipelines. Own technical discovery, end-to-end integration lifecycle, AI agent orchestration, customer technical relationships, and feedback to product and engineering. Produce runbooks, templates, and durable handoffs.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Design and implement scalable, durable cloud storage services for Azure Archive Storage. Collaborate with hardware/firmware teams, lead design and feature implementation, mentor engineers, act as DRI and on-call owner, and improve availability, reliability, performance, and observability of large-scale distributed storage systems.

Engineer and deliver functionality across Salesforce Health Cloud and Sales Cloud, managing development through production deployment. Collaborate with stakeholders, implementation partners, and product and engineering teams. Serve as a Salesforce Health Cloud subject matter expert, provide best-practice guidance, integrate Salesforce with external systems, migrate business processes, and apply healthcare data standards and security controls.

The Staff Software Engineer will design and operate financial systems involving ledgering, transaction processing, decisioning, and money movement, ensuring correctness and reliability while mentoring engineers and improving system resilience.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

The Staff Software Engineer will design and operate high-integrity financial systems including ledgering, transaction processing, and money movement while ensuring system correctness and resilience.

Design, build, and maintain automated network infrastructure across multi-cloud and hybrid-cloud environments. Develop automation using Itential, Terraform, Ansible, and Python; integrate cloud-native networking and security constructs; automate spine-leaf architectures and security controls; ensure high availability and visibility; mentor team members and collaborate cross-functionally to implement scalable network automation solutions.

Design, build, and operate scalable backend services and APIs for a SaaS platform using Python/FastAPI. Ensure reliability, performance, and observability across distributed systems. Work with PostgreSQL, SQLAlchemy, Temporal, Redis, AWS, and Terraform. Build frontend features with React and TypeScript, integrate third-party APIs, adopt AI-assisted development tools, mentor engineers, and drive architecture and developer experience improvements.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.