Top Remote Python Jobs in Atlanta, GA

Lead quality assurance for storage and filesystem features, designing test strategies, executing system, stress, regression, and cross-functional testing, and developing automation. Collaborate with developers, tools teams, and customer support to improve testability, reproduce issues, and debug defects. The role requires expertise in NFS, SMB, NAS filesystems, Linux, Windows, VMware, shell scripting, Python, packet capture, test infrastructure, and release management.

Lead the architecture and development of a multi-RAT Open RAN digital twin supporting LTE and 5G NR simulation. Integrate production MAC and scheduler software with PHY, channel, UE, traffic, mobility, interference, and network models. Build fidelity tiers, AI/ML evaluation pipelines, reproducible experiments, calibration and validation practices, automated testing, and CI/CD workflows. Improve simulation scalability and reliability while collaborating across wireless, PHY, AI/ML, software, and lab-validation teams.

Own end-to-end quality for new features across the operator portal, backend platform, and endpoint agent. Translate requirements into runnable acceptance coverage, build and maintain parallel browser test frameworks, validate APIs and contracts, and integrate suites into CI release gates. Curate automated and AI-generated scenarios, assess test risk, report coverage and failures, and close quality gaps. The role also drives adoption of shared tooling and may involve containerized environments, cloud platforms, virtualization, performance testing, and security product testing.

Develop and maintain high-volume, mission-critical enterprise web applications using C#/.NET, ASP.NET MVC, AngularJS, and SQL Server. Responsibilities include full lifecycle development, architecture and design participation, troubleshooting, performance and scalability improvements, AI-assisted workflow development, Agile collaboration, technical mentoring, and supporting multi-tier systems.

Build and improve Replicant’s AI-native platform, including site reliability, CI/CD, developer tooling, observability, incident management, cloud infrastructure, and autonomous-agent harnesses. Own production infrastructure reliability at scale, reduce operational toil, improve deployment workflows, participate in on-call rotation, and shape platform engineering patterns. The role uses TypeScript/Node.js, Python, Terraform, Kubernetes, Helm, GCP, and modern monitoring tools.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Build and improve Replicant’s AI-native platform infrastructure, including site reliability, CI/CD, developer tooling, observability, incident management, and agent harness systems. Own production infrastructure patterns, deployment workflows, and developer self-service across Kubernetes and cloud environments. Participate in on-call and incident response while improving scalability, availability, and operational efficiency for real-time conversational AI traffic.

Designs, develops, and supports enterprise HPC and cloud infrastructure solutions. Responsibilities include architecture, software platform development, proof-of-concept delivery, capacity planning, system design, launch reviews, troubleshooting, documentation, and collaboration with engineering, product, sales, and open-source communities. The role requires maintaining system performance, solving ambiguous technical problems, and participating in an on-call rotation.

Develop, modernize, test, integrate, deploy, and maintain secure enterprise web applications supporting Department of Defense missions. Build Oracle APEX applications, PL/SQL database solutions, RESTful APIs, and cloud-hosted services. Collaborate on DevSecOps, CI/CD, cybersecurity compliance, vulnerability remediation, testing, performance, and production support. Participate in Agile ceremonies and work with technical teams and Government stakeholders to deliver accessible, reliable digital services.

Administer AWS GovCloud IL5 environments through provisioning, patching, backups, vulnerability remediation, IAM management, monitoring, troubleshooting, compliance support, and change control. The role maintains secure production and non-production systems, documents operational procedures, supports restore testing and log validation, and collaborates with platform, cybersecurity, network, and application teams. An active Top Secret clearance with a Tier 5 investigation, a bachelor’s degree, five years of experience, and Security+ or AWS Cloud Practitioner certification are required.

Designs, develops, and sustains secure REST APIs, ETL pipelines, middleware, event-driven integrations, and data validation services for DoD modernization. Optimizes schemas and data workflows, manages API gateways, monitors performance, troubleshoots synchronization issues, and ensures interoperability across IL2-IL5 cloud environments. Collaborates with cybersecurity, database, and Agile teams to meet DoD RMF, STIG, Zero Trust, and data governance requirements while maintaining integration documentation and supporting deployment validation.

Leads Agile development and sustainment of secure data integration solutions for DoD systems. Responsibilities include RESTful API design, data migration and validation, database optimization, data pipelines, analytics dashboards, integration testing, DoD compliance, CI/CD support, documentation, and mentoring. The role collaborates with cybersecurity teams on RMF and STIG controls while guiding technical delivery and Agile ceremonies in AWS GovCloud environments.

Develop and sustain a secure enterprise Case Management System for DoD stakeholders. Responsibilities include building CMS components, microservices, API integrations, workflow automation, and AWS GovCloud software; implementing DevSecOps and CI/CD; conducting code reviews, testing, data validation, and documentation; supporting Agile delivery; ensuring DISA STIG and RMF compliance; and providing Tier 2/3 production support.

Provides frontline support for high-availability cloud systems, monitors infrastructure, manages incidents, coordinates outage bridges, documents technical issues, and develops automation and AI agentic workflows. The role partners with development teams to improve detection and resolution, supports AWS technologies, databases, networks, CI/CD tools, and observability platforms. This is a Monday–Thursday overnight shift within a 24/7 command center and includes some holiday coverage.

Own frontend architecture for React and TypeScript applications supporting complex research and analytics workflows. Build performant, accessible interfaces; establish standards for performance, testing, accessibility, and CI quality gates; evolve shared component libraries and design systems; partner on API contracts; address technical debt; contribute to Django services; and mentor engineers while leading department-wide technical initiatives.

Build and improve AWS cloud infrastructure, CI/CD pipelines, Terraform-managed environments, and containerized applications on ECS Fargate. Lead architecture and deployment reviews, automate reliable application delivery, troubleshoot incidents, perform root cause analysis, and implement monitoring, logging, security, and compliance controls. Collaborate with application, IT, business, and vendor teams while modernizing legacy applications and developing platform engineering capabilities.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.

Own product features from research and UX design through full-stack production delivery. Design user flows, wireframes, and reusable components while building responsive front-end experiences, APIs, back-end logic, and database solutions. Improve hiring marketplace workflows, dashboards, scheduling, messaging, and integrations. Use user feedback, analytics, funnel metrics, and A/B testing to guide iteration while ensuring performance, accessibility, and security.

Build and maintain full-stack systems for a global monitoring application supporting federal partners and satellite data access. Responsibilities include designing scalable backend services and frontend applications, improving architecture and infrastructure, integrating complex customer requirements, and owning mission-system quality and availability. The role requires collaboration across teams throughout the engineering lifecycle and experience with cloud infrastructure, observability, geospatial data, and complex integrations.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

Design, implement, and test cloud-based server-side software in Python. Optimize code performance, maintain unit and integration tests, and work with AWS, Docker, DevOps, and CI/CD tools. Preferred experience includes reverse engineering public APIs, PostgreSQL, Django ORM and DRF, network protocols, and web or mobile technologies.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

Own cross-team, platform-level engineering initiatives end-to-end: architecture, migrations, observability, on-call, and customer outcomes. Drive AI-native tooling and agentic AI adoption, mentor senior engineers, and set technical standards across teams.