Top Remote Python Jobs in Atlanta, GA

Design and deliver customer-specific solutions on the Digimarc Illuminate platform: configure accounts, build integrations and web add-ons (Node/JavaScript), script data imports/exports, create demos/POCs, provide 2nd/3rd-level support, and collaborate with product, engineering, and customers to ensure successful deployments.

Designs and scales mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include developing backend systems, maintaining software quality and test coverage, participating in code reviews, troubleshooting incidents, and building developer-focused APIs and infrastructure using modern cloud, containerization, and orchestration practices.

Leads mission formulation and architecture for international space opportunities. Develops mission concepts, performs mission-level analyses, owns top-level budgets, defines requirements, evaluates spacecraft and constellation configurations, and guides engineering teams through design trade studies. Collaborates with customers, scientists, and engineering disciplines to create practical, cost-effective satellite missions. Requires regular international travel and occasional travel to the Mountain View facility.

Build end-to-end user features under senior guidance: implement REST endpoints in Node.js/TypeScript, microservices in Python, maintain PostgreSQL schemas, process background jobs with QStash/Upstash, deploy to Cloudflare Workers/Pages/R2, write tests, and collaborate with product/design on React UI components.

Build and maintain end-to-end features across backend (Node.js/TypeScript, Python) and frontend (React/TypeScript). Model Postgres schemas, integrate queues (QStash/Upstash), deploy on Cloudflare edge, write tests, enforce CI/CD, and harden systems for security and performance in regulated environments.

Lead and grow a backend engineering team while staying hands-on: design and build Python/FastAPI services with Temporal and Postgres, own roadmap and delivery, set SLIs/SLOs, drive observability and reliability, run engineering rituals, hire and coach engineers, and improve quality with DevOps and AI tooling.

Provide advanced application development, integration, and troubleshooting for DDC/BMS/BAS projects. Configure BACnet/Modbus gateways, develop control databases and interfaces, support commissioning and service teams, review portfolio standards, mentor junior engineers, and participate in customer technical meetings and project lifecycle documentation.

The Senior Full Stack Engineer will design and maintain features across backend and frontend systems, focusing on scalability and security while collaborating on production-grade solutions in a fast-paced environment.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

The role involves embedding with client teams to build AI features, manage integrations, and ensure project deliveries are met. Candidates must have extensive production software experience and be comfortable working hands-on with clients.

The Production Engineer will design, build and maintain production infrastructure, ensuring reliability, observability, and automation while collaborating with engineering teams on distributed systems.

The Staff/Principal Engineer will lead AI-assisted engineering efforts, architect solutions using C#, React, and Python, and drive MLOps initiatives while mentoring senior engineers in a healthcare technology context.

Design, develop, and maintain custom Salesforce solutions (Apex, Visualforce, Lightning). Build AI-powered features using Salesforce Einstein and Agentforce, lead integrations, ensure data quality for AI readiness, manage deployments, test deliverables, and mentor junior developers.

Lead design and scaling of a high-performance, data-intensive storage layer for network telemetry. Co-own multi-year roadmap, collaborate with product/support/sales, and solve challenging distributed storage and query-performance problems at large scale.

The Full Stack Engineer will architect and build 'The SOURCE®' platform, integrating AI and automating workflows while ensuring scalability and simplicity.

The role involves building and scaling backend services, designing APIs, optimizing database performance, and communicating with customers to improve product quality.

We are seeking a Software Engineer with 1-3 years of experience to join our technology enablement program and focus on Zoho technologies. The role involves designing and implementing digital transformation solutions, requires technical and soft skills, and offers hands-on training and client-facing work.

The Solution Architect will design and implement cloud-native solutions, collaborate on automation, and modernize applications while ensuring security compliance and delivering business insights.

Develop and maintain PX4 autopilot firmware for UAVs, integrating sensors and payloads, and managing testing environments. Collaborate on flight operations and system integration.

The Platform Engineer will design and implement scalable compute infrastructure for autonomous vehicle simulation, utilizing cloud platforms and on-premises clusters, along with managing CI/CD pipelines and monitoring systems.

The Principal Engineer will guide architectural strategy, solve complex technical challenges, mentor engineers, and ensure compliance with healthcare standards.

As a Full Stack Software Engineer, you will lead product features from design to implementation while mentoring other engineers in AI-native workflows. Responsibilities include building scalable backend systems, creating responsive UIs, and driving architectural decisions in a high-urgency environment.

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.

The Infrastructure Architect integrates the Epistemix platform into client environments, designs technical strategies, and ensures compliance with standards while managing complex deployments.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.