Top Remote Python Jobs in Atlanta, GA

Build and operate full-stack features across database, API, and front-end layers using Ruby on Rails. Own complex problems end to end, modernize legacy systems, design durable APIs, improve reliability and developer productivity, and participate in production support. Collaborate with product and engineering teams, document technical decisions, mentor peers, and contribute to architecture, code reviews, and on-call operations. The role also involves using modern developer tooling and working on scalable fleet and service-management software.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and operate core platform systems for users, workspaces, permissions, APIs, authentication, and resource management. Deliver full-stack features with a backend focus, including admin and settings interfaces. Scope work within large existing systems, plan migrations, manage safe rollouts, debug production issues, and collaborate across product and engineering teams. Candidates need strong Python and backend development expertise, software and system design knowledge, testing and security fundamentals, and the ability to navigate ambiguity.

Build and maintain payments infrastructure, including usage tracking, pricing, billing, payment providers, and stream-processing services. Collaborate with Finance, Tax, Growth, Sales, and engineering teams to support compliance, reporting, experiments, and customer payments. Plan migrations, debug complex production billing issues, and safely evolve live systems handling money. Requires Python expertise, backend development experience, software and system design knowledge, testing and security fundamentals, and strong problem-solving ability.

Lead architecture, technical direction, implementation, and delivery across Scripture-centered web and mobile products. Translate product concepts into technical plans, review code and vendor work, ensure quality and security, and guide scalable serverless solutions. Mentor engineers, promote development and DevOps best practices, support AI adoption, and collaborate with product managers, ministry leaders, stakeholders, and external partners. The role is a remote individual-contributor position requiring occasional domestic travel and U.S. work eligibility.

Design, build, and maintain cross-platform mobile applications and end-to-end web features. Implement front-end interfaces, back-end services and RESTful APIs, optimize databases, write tests and documentation, perform code reviews, and collaborate with UX, QA, and DevOps to deliver high-quality, secure, and performant solutions.

Build and own end-to-end technical solutions for strategic customers, including architectures, product features, and full-scale integrations. Collaborate with customer engineers and executives, apply Python and software development expertise to solve complex problems, and communicate technical concepts clearly. The role is remote-first in the United States with regular travel to customer onsite engagements.

Lead engineering for a hyperscale deployment platform serving Microsoft 365 services. Design and deliver scalable deployment features across the full software lifecycle, mentor engineers, and drive automation and AI-powered solutions that improve reliability, efficiency, performance, and operational excellence. Collaborate with product managers and partner teams while ensuring high-quality, maintainable, production-grade software.

Owns VM and fleet test strategy, performance quality gates, and hypervisor validation for an IaaS platform. Designs reproducible bare-metal-like test environments, develops automated performance benchmarks and regression gates, validates SLOs and deployment safety, and builds test harnesses and analysis pipelines in Go, Python, and Perl. The role requires deep expertise in virtualization, Linux systems, performance engineering, statistical analysis, and cross-architecture debugging.

Operate and maintain a disconnected C3 AI Platform deployment at a secure government facility. Responsibilities include monitoring system health, responding to incidents, troubleshooting Linux and Kubernetes environments, performing offline upgrades and patches, automating operations, creating runbooks, supporting customer applications, and translating customer needs into technical enhancements. The role requires customer-facing communication, on-site work, U.S. citizenship, and an active Secret clearance.

Build and operate internal infrastructure solutions for engineering teams. Responsibilities include resolving infrastructure requests, executing cloud workload and storage migrations, developing Terraform modules, Helm charts, CLIs, and automation in Go or Python, documenting runbooks, and creating observability dashboards for cost, capacity, and usage. The role requires production Kubernetes and public cloud experience, infrastructure-as-code and GitOps expertise, and cross-functional project delivery.

Design, analyze, manufacture, assemble, and test liquid rocket engine hardware from component concepts through flight maturity. Responsibilities include fluid-system modeling, P&ID and CAD development, engine sizing and cycle analysis, test-plan execution, hot-fire data analysis, supplier coordination, lifecycle ownership of engine assemblies, and mentoring engineers.

Leads platform engineering across learner and enterprise products, setting architecture direction, integrating AI and data capabilities, managing engineering managers and teams, and improving quality, reliability, security, accessibility, and delivery. Partners with product, design, IT, cloud operations, sales, and executives on strategy, planning, budgets, and enterprise SaaS outcomes.

Build and ship maintainable software using Python, React, TypeScript, SQL, and AI-assisted workflows. Design scalable, secure, performant solutions; work with complex data models; and improve engineering processes. Mentor junior engineers, lead code reviews, collaborate with Product and Design, influence technical strategy, and modernize production systems while maintaining reliability and customer experience.

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.

Own the architecture and technical direction of NodeZero’s database platform. Design scalable PostgreSQL systems, multi-tenant data models, graph-based asset models, partitioning, replication, and zero-downtime schema migrations. Establish database standards, governance, and performance practices while writing production code, authoring design documents, mentoring engineers, and influencing teams across the data pipeline.

Design, test, document, and deploy geospatial software solutions for defense and intelligence imagery. Integrate analytical toolkits with ArcGIS, define user requirements, lead lab testing and automated QA efforts, and collaborate on software releases. The role applies remote sensing, photogrammetry, image processing, and AI while mentoring colleagues and managing project dependencies.

Site Reliability Engineer responsible for maintaining the reliability, availability, scalability, and performance of enterprise automation platforms. Duties include monitoring, incident response, root cause analysis, observability improvements, deployment support, testing, configuration management, release activities, infrastructure automation, and production risk mitigation. The role partners with development and operations teams to improve system stability and operational readiness across automation solutions.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Designs, automates, and optimizes mission-critical PostgreSQL, Oracle, MySQL, and DynamoDB platforms. Builds infrastructure as code, CI/CD pipelines, automated failovers, database tooling, and Kafka-based change data capture and replication frameworks. Partners with systems engineers, developers, and architects to deliver resilient, high-performance, event-driven data infrastructure. Maintains monitoring, alerting, security, access controls, query optimization, and real-time data availability across AWS environments.

Design and optimize networking infrastructure for Azure AI supercomputing clusters. Develop RDMA communication libraries, transport protocols, distributed systems, observability tools, and performance optimizations. Analyze latency, throughput, congestion, scalability, and fault tolerance across large GPU and accelerator environments. Lead technical architecture, write design specifications, resolve complex production networking challenges, and collaborate with hardware, silicon, AI framework, and infrastructure teams.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Designs, develops, deploys, and sustains Azure infrastructure for AI training and inference workloads. Responsibilities include coding, hardware and software integration, distributed systems, networking, GPU and cluster design, performance optimization, debugging, automation, test-driven engineering, documentation, partner collaboration, and on-call incident response. The role drives scalable, reliable infrastructure and mentors engineers while improving quality, maintainability, and customer outcomes.

Design, develop, test, deploy, and support enterprise full-stack applications using React, Java/Spring Boot, and Python. Build secure APIs, microservices, integrations, chatbot interfaces, and cloud-native solutions. Work with Azure or AWS, Docker, Kubernetes, CI/CD pipelines, databases, messaging systems, and enterprise security practices. Collaborate in agile teams, participate in architecture discussions, refine requirements, conduct code reviews, and maintain quality through automated testing. Experience integrating AI or generative AI solutions is preferred.