Top Remote Python Jobs in Atlanta, GA

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Develops and maintains backend services, internal tools, and agentic workflows for Microsoft 365 air-gapped government clouds. Responsibilities include writing maintainable code, supporting scalable distributed systems, monitoring live services, participating in on-call incident response, improving reliability and automation, collaborating across teams, and incorporating customer requirements. The role requires an active U.S. Government TS/SCI clearance with polygraph and U.S. citizenship verification.

Design, develop, test, deploy, and operate secure Teams Phone services in sovereign and air-gapped cloud environments. Build scalable distributed systems, improve reliability and observability, participate in on-call support, troubleshoot production incidents, and contribute to automation, CI/CD, documentation, and operational excellence. Collaborate with engineering, product, security, privacy, and SRE teams while using AI tools responsibly throughout the software development lifecycle.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Manage and optimize large-scale MySQL production environments, including highly available and disaster recovery architectures. Responsibilities include upgrades, patching, backup and recovery, performance tuning, capacity planning, cloud database support across Azure and AWS, infrastructure automation with Terraform and scripting, observability, incident response, root cause analysis, CI/CD collaboration, and on-call production support.

Manage and optimize highly available MySQL database platforms in large-scale production environments. Design disaster recovery and multi-region architectures, perform upgrades, backups, performance tuning, and capacity planning, and build automation using Terraform and scripting. Support Azure and AWS databases, monitoring, observability, incident response, and root cause analysis. Partner with engineering, DevOps, infrastructure, and security teams on reliability, CI/CD, cloud modernization, and self-service automation while participating in on-call support.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

Leads customer-facing solution architecture and engineering enablement for secure, cloud-native government delivery projects. Responsibilities include advising customers, mentoring engineers, managing proof-of-concept initiatives, designing systems, building CI/CD pipelines, deploying and troubleshooting Kubernetes-based packages, and improving team processes. The role also supports demonstrations, technical content, market research, and growth initiatives while collaborating across technical and business teams.

Design, simulate, verify, and validate analog, digital, power, mixed-signal, or RF circuits for an AI training project. Translate requirements into schematics, netlists, HDL, models, and simulation inputs; automate workflows with Python; analyze electrical results; perform corner and Monte Carlo analyses; compare simulations with physical measurements; troubleshoot hardware and review AI-generated circuit solutions. Requires real fabricated or shipped circuit-design experience and command-line or programmatic EDA expertise.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Perform load, stress, and endurance testing across e-commerce storefronts, internal SaaS tools, and AI agent services. Design test strategies, execute tests with tools like JMeter/Gatling, analyze observability metrics, identify bottlenecks in Node.js/NestJS, PostgreSQL, and Redis, and integrate performance tests into CI/CD while collaborating with SRE and backend teams.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Remote contract CAD expert role supporting AI training for manufacturing workflows. Responsibilities include reviewing and refining AI-generated manufacturing content, providing CAD, CAM, and CNC process feedback, and developing evaluation rubrics. Candidates need hands-on CAD experience, strong communication skills, and coding-agent experience with Python. Work is flexible at 15–20 hours per week, with output-based compensation and immediate availability preferred.

Teaches undergraduate and graduate software development courses online, develops syllabi and course materials, facilitates discussions, evaluates student work, provides feedback, and integrates responsible AI use into instruction. The role requires software development expertise, course preparation, assessment design, and ongoing faculty development. Candidates need a doctorate and substantial applied experience in software development or related computing disciplines.

Customer-facing engineer who builds demos, prototypes, and workshops to drive pre-sales and adoption of Motorq's connected-vehicle and AI capabilities; partners with sales, customer success, and product teams and travels regularly to customer sites.

Lead and mentor a product engineering team while remaining hands-on with coding, code reviews, architecture, and technical direction. Partner with product and cross-functional teams to deliver the roadmap, improve engineering quality, and build a culture of ownership. Requires strong software engineering experience, people leadership, React, TypeScript, Python, startup experience, customer-facing product experience, and regular coding. The role is remote in the US or Canada with occasional customer visits.

Manage and mentor a backend engineering team while remaining hands-on with technical design and problem solving. Set backend architecture, service strategy, roadmaps, and engineering standards for scalable, secure systems. Partner with product, data, infrastructure, and frontend teams to deliver reliable customer-facing software, deploy models, improve platform tooling, and support incident response. Recruit engineers, guide team development, and foster ownership and continuous improvement.

Lead customer implementations from discovery through deployment and support. Design and develop production software integrations, make architecture decisions, facilitate executive working sessions, and resolve implementation issues independently. Build reusable components, collaborate with product teams, and deliver customer-facing solutions involving data pipelines and machine learning workflows. The role requires strong Python, TypeScript, cloud, communication, and healthcare or life sciences experience, with 10–15% client travel.

Drive quality assurance for web features from technical handoff through production release. Responsibilities include test planning, test case creation, functional and exploratory testing, regression, UI/UX, cross-browser, responsive, API, and end-to-end testing. Support releases through build validation and monitoring, document and review tests, collaborate with product and engineering teams, improve QA metrics, and optionally contribute to test automation.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Develop and operate large-scale Microsoft 365 and Purview services. Build automation, telemetry pipelines, monitoring tools, and engineering solutions that improve reliability, performance, security, and customer experience. Troubleshoot production issues, optimize code, participate in reviews, and support regular on-call incident response.

Designs and delivers cloud-based software solutions with strategic customers and Microsoft product teams. Leads requirements definition, architecture, dependency identification, design documentation, and development of maintainable code. Mentors engineers, contributes to open-source assets, coordinates project and release plans, and serves as a designated responsible individual for system reliability, monitoring, on-call support, performance, and operational improvements.