Top Remote Python Jobs in Atlanta, GA

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Leads the design, automation, operation, and scaling of infrastructure across on-premises data centers, GCP, and AWS. Responsibilities include infrastructure as code, configuration management, networking, load balancing, DNS, monitoring, observability, distributed systems administration, documentation, technical direction, project leadership, and mentoring. The role requires deep Linux, hardware, networking, cloud, storage, backup, and Python automation expertise.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Develop and implement embedded software and systems for aerospace devices. Responsibilities include coding, testing, troubleshooting, software quality assurance, system efficiency and stability analysis, and I/O performance optimization. Interns work with hardware and embedded technologies while receiving mentorship and professional development. The role is available at multiple U.S. locations and includes relocation benefits and short-term housing for eligible interns.

Develop and implement embedded software and devices for aerospace systems. Responsibilities include analyzing system efficiency and stability, optimizing I/O performance, supporting software quality assurance, and coding, testing, and troubleshooting system software. The intern will work with embedded hardware and software technologies while receiving hands-on experience, mentorship, relocation benefits, and short-term housing when eligible.

Own and operate Orca’s FedRAMP environments across AWS, Azure, and GCP. Build infrastructure with Terraform, Kubernetes, Helm, and CI/CD; automate compliance validation, drift detection, evidence collection, and inventory management. Lead continuous monitoring, authorization artifacts, OSCAL transition, 3PAO assessments, and federal customer security engagements. Serve as the senior technical authority, maintain production health and incident response, and eventually build a U.S.-based infrastructure team while remaining hands-on.

Build production software and scalable cloud systems for AI-powered insurance calls. Responsibilities include designing core LLM systems, refining prompts, developing privacy- and security-conscious solutions, orchestrating thousands of concurrent phone calls, integrating FHIR APIs, testing, debugging, and documenting software. The role also contributes to product direction, engineering practices, and company culture as a foundational team member.

Lead the architecture and delivery of large-scale React and React Native applications across web and mobile. Establish frontend standards for performance, accessibility, reliability, and maintainability; build shared component libraries and design systems; resolve complex frontend and cross-stack issues; partner with product, design, and backend teams; and mentor engineers while shaping technical strategy across multiple product areas.

Lead architecture and delivery of complex web and mobile product initiatives. Build React and React Native applications, scalable components, APIs, data models, and shared libraries. Establish engineering standards, improve testing, performance, security, and reliability, and optimize database queries. Mentor engineers, guide technical decisions, and partner with leadership and stakeholders to shape the product roadmap. This is a fully remote role supporting veterinary clinic operations and supply-chain workflows.

Build and maintain features across Vetcove’s web, backend, and mobile platforms. Responsibilities include developing React and React Native applications, creating reusable components, improving test coverage, designing performant and secure data models, optimizing database queries, writing API endpoints, and collaborating with engineering, product, and company leadership in a fully remote environment.

Lead the Compute Runtime team in building and operating Netflix’s large-scale cloud compute platform. Own Kubernetes data plane software, container runtime capabilities, container execution, and compute-node operating systems. Drive scalable, reliable, and efficient platform architecture, adoption, operational excellence, incident response, and cross-functional technical leadership. Guide technology strategy, evaluate emerging architectures and services, and contribute to open-source innovation.

Owns the infrastructure service-request intake, prioritization, backlog, and workflow governance in JIRA. Coordinates patching, security updates, maintenance windows, change management, incident escalation, post-mortems, and audit readiness. Manages and develops Cloud Platform Engineers, oversees staffing and capacity, assesses technical risks, and partners with InfoSec and stakeholders. Drives automation, observability, reliability improvements, and AI-assisted operational tooling toward a 99.99% uptime target.

Designs, configures, and maintains IT systems for performance, availability, scalability, and security. Monitors system health, automates administration, troubleshoots complex issues, supports incident response and disaster recovery, ensures compliance, documents configurations, and mentors junior engineers.

Design, build, and maintain software applications; collaborate with engineers, analysts, and stakeholders; resolve bugs and production issues; write scalable, testable code; perform testing and debugging; produce technical documentation; mentor peers; participate in on-call rotation; leverage the team's data ecosystem to inform application design and improvements.

Designs, implements, and supports enterprise infrastructure platforms centered on OpenShift, Kubernetes, GitOps, and container technologies. Responsibilities include cluster lifecycle management, CI/CD, virtualization, storage, monitoring, automation, security, backups, disaster recovery, troubleshooting, system upgrades, documentation, and incident response. The role collaborates cross-functionally, mentors junior engineers, supports continuous improvement, and participates in on-call activities and after-hours changes when needed.

Designs, deploys, integrates, monitors, maintains, and troubleshoots storage and IT infrastructure, including SAN, NAS, object storage, VMware, networking, backups, and disaster recovery systems. Implements automation, security controls, patches, and system upgrades while maintaining documentation and compliance. Collaborates with cross-functional teams, participates in incident response and recovery planning, supports system rollouts, and mentors junior engineers. Requires occasional after-hours work and on-call availability for critical incidents.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Own and evolve the company-wide SRE strategy, reliability standards, observability practices, incident management, service ownership, SLOs, and on-call operations. Lead cross-functional reliability initiatives, establish dashboards, alerts, runbooks, and escalation paths, improve production readiness and incident response, and operate large-scale distributed systems across AWS and Kubernetes. Participate in a 24/7 on-call rotation and help shape the SRE function.

Lead the architecture and operation of Horizon3’s developer experience platform, including local development, CI/CD, build systems, container images, artifact promotion, release workflows, security gates, and delivery observability. Build reusable tooling and paved paths, establish secure AI-assisted development practices, improve reproducibility and supply-chain security, and mentor engineers. Partner across Platform, Security, QA, and application teams to drive adoption, reliability, delivery speed, and continuous improvement.

Develop and deploy interactive data and AI applications on Databricks Apps. Build React and TypeScript/JavaScript interfaces, integrate Databricks data, analytics, APIs, and model-serving endpoints, and create lightweight Python or Node.js backend services. Collaborate with data engineers, data scientists, and stakeholders to prototype user workflows, implement governance and security controls, and deliver production-ready applications. Responsibilities also include CI/CD, Git-based development, documentation, Agile collaboration, and translating stakeholder needs into application features.

Administer and optimize Databricks workspaces across development, test, and production environments. Manage clusters, jobs, workflows, security, governance, monitoring, backups, performance, and cost controls. Automate provisioning and policy enforcement using infrastructure as code, integrate CI/CD pipelines, troubleshoot platform issues, and provide Tier 2/3 support. Collaborate with data, analytics, security, and IT teams while documenting procedures, onboarding users, and promoting Databricks best practices.

Build and scale Azure cloud infrastructure, Docker Swarm or Kubernetes clusters, and Terraform-managed environments. Create and maintain Azure DevOps CI/CD pipelines, deployment scripts, health checks, alerts, configuration, and automation workflows. Troubleshoot infrastructure and release issues, collaborate across technical teams, and document deployment processes. The role requires production experience with cloud platforms, scripting, CI/CD, infrastructure automation, and AI-assisted DevOps tools.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Full-time remote engineering internship with Product Engineering and AI/ML Engineering tracks. Interns may build and optimize scalable product features, contribute to architecture and design decisions, develop data pipelines and machine learning models, deploy AI applications, and integrate LLM-powered capabilities into Chess.com products. Applicants should be enrolled students or equivalent bootcamp participants with strong communication, ownership, teamwork, and relevant programming, database, machine learning, or AI experience.

Leads networking architecture strategy for managed services, defining reference architectures, design standards, technology roadmaps, and governance across LAN/WAN, SD-WAN, firewalls, wireless, cloud networking, and SASE. Partners with solution architects on complex pre-sales engagements, evaluates vendors and platforms, drives automation and AI-enabled monitoring, reviews customer designs, documents standards, and mentors engineering teams.