Top Remote Python Jobs in Atlanta, GA

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Design, build, operate, and improve cloud infrastructure, deployment systems, observability, developer tooling, and distributed systems. Own infrastructure products end to end, manage systems with Terraform, support scalable AWS and Kubernetes environments, operate Redis/ElastiCache, participate in incident response, improve reliability and performance, and mentor engineers while collaborating across teams.

Owns production reliability for high-throughput, low-latency systems, including observability, SLOs, incident response, capacity planning, infrastructure as code, progressive delivery, chaos testing, and operational tooling. The role requires hands-on software and infrastructure engineering, production Redis/ElastiCache expertise, cloud infrastructure knowledge, security awareness, mentoring, and participation in on-call operations.

Develop and modernize the open-source conda ecosystem, including conda, conda-build, and plugins. Responsibilities include designing and delivering features, improving performance and reliability, owning projects from requirements through release, collaborating with distributed internal teams and external maintainers, contributing through GitHub, and participating in Scrum ceremonies. The role also involves using AI-assisted tools while maintaining code quality and engaging the open-source community.

Develop scalable Java Spring Boot APIs, microservices, React-based interfaces, ETL pipelines, and SQL data solutions. Deploy workloads on AWS, optimize performance, implement monitoring and automation, and collaborate with product, frontend, data, and DevOps teams. The role also contributes to architecture, accessibility, reliability, and data-driven product improvements.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Leads complex network and infrastructure solution development from customer requirements through architecture, implementation, deployment, operations, and sustainment. Provides technical leadership, customer engagement, proposal support, solution presentations, team coordination, mentoring, risk management, and delivery accountability across enterprise, tactical, government, and commercial environments. Integrates networking, software, automation, cloud, cybersecurity, service management, and observability technologies while supporting classified and sensitive programs.

Leads and develops a team building growth-critical platforms, AI-driven tools, automations, and infrastructure. Collaborates with Product and Design, guides architecture and implementation, manages execution, improves team processes, and partners with engineering leaders. The manager remains hands-on, writing production-grade backend code, using AI tools, and promoting quality, reliability, accountability, and team autonomy across distributed teams.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Develop and maintain Medicare claims-processing software in a legacy mainframe environment using COBOL and related technologies. Responsibilities include coding, debugging, unit testing, requirements analysis, defect resolution, software installation, technical documentation, and Agile/Scrum collaboration. The developer will support DME contract operations, deliver moderate-complexity solutions, estimate tasks, and coordinate with team members, clients, vendors, and other organizations.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Designs and operates production data infrastructure, ETL/ELT pipelines, APIs, containerized AWS services, and graph-based systems. Responsibilities include relational, document, and graph database architecture; data quality and lineage; CI/CD automation; and integration of blockchain, financial, and investigative data. Partners with R&D, data scientists, and investigations teams to deliver production software for federal and commercial clients.

Lead modernization of a 30-year-old Store Management System by reverse engineering EZC file-based platforms, migrating data and applications to PostgreSQL, and developing enterprise C/C++ software. Responsibilities include architecture, systems integration, APIs, ETL, performance optimization, troubleshooting, documentation, and maintaining business continuity. The role also applies AI-assisted development tools for code analysis, documentation, testing, and modernization while mentoring teams and supporting legacy and modern environments.

Build, administer, and optimize enterprise Databricks data platforms in Azure. Responsibilities include platform operations, Terraform-based infrastructure automation, data ingestion enablement, governance through Unity Catalog, access controls, monitoring, troubleshooting, incident response, and reliability improvements. The role partners with data engineers, architects, analysts, infrastructure, and security teams to support scalable production analytics and data workloads.

Leads architecture and development for Akamai’s global connectivity platform. Designs software-defined network automation, eliminates operational toil, builds telemetry and observability systems, establishes CI/CD and SDLC practices, and guides capacity planning and cost optimization across routing, network fabric, and edge security systems. The role also mentors engineering teams and drives reliability engineering standards across the organization.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Serves as the strategic architect and technical lead for enterprise observability, APM, telemetry, and SRE ecosystems. Designs unified monitoring across hybrid cloud, Kubernetes, and legacy environments; establishes SLOs, SLIs, error budgets, and incident-response practices; leads automation using Ansible, Terraform, Python, and GitOps; and develops secure, scalable telemetry pipelines. The role also leads FOAK implementations, monitoring migrations, vendor transitions, knowledge-transfer programs, major incident escalations, operational handoffs, and engineering-team mentoring.

Leads major technical initiatives while designing enterprise identity systems, authorization models, and scalable multi-tenant SaaS architecture. Builds platform components with .NET/C# on AWS, improves data pipelines, resolves complex production issues, and shapes the technical roadmap. Mentors engineers, drives architecture and reviews, coordinates across teams, and supports security, compliance, automation, and continuous platform improvement.

Build full-stack Django applications with a frontend focus, creating intuitive, interactive, and performant data visualizations for complex healthcare pricing data. Collaborate with product and engineering teams to define user experiences, prioritize features, write scalable code, test and debug systems, improve existing functionality, and translate user requirements into technical solutions.

Manage and automate AWS infrastructure across multiple accounts, build GitHub Actions CI/CD pipelines, deploy containerized services on ECS and Vercel, and maintain monitoring, security, networking, backups, and disaster recovery. The role also requires troubleshooting availability and performance issues, optimizing cloud costs, managing IAM and secrets, supporting compliance, coordinating vendors, and collaborating with distributed engineering teams.

Design and scale reliable spine-leaf data center networks supporting GPU clusters and AI workloads. Build Ethernet fabrics using EVPN/VXLAN and BGP, optimize traffic, support RoCE/RDMA, and manage backbone, WAN, DCI, and edge connectivity. Develop network automation and Infrastructure-as-Code solutions, improve observability and telemetry, troubleshoot distributed performance issues, and collaborate with compute, storage, platform, and operations teams. The role requires hands-on Cumulus NOS expertise and experience with large-scale, high-performance infrastructure.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.

Supports the design, prototyping, assembly, testing, repair, simulation, and flight testing of autonomous aircraft. Interns may work across airframe and mechanical design, avionics, controls, manufacturing, and data review while owning a project that improves aircraft development.

Owns block- and system-level verification for ASIC and FPGA designs, including test planning, UVM and formal environments, assertions, constrained-random testing, behavioral models, coverage closure, regression automation, and debugging. The role leads multiple verification projects, collaborates with designers and architects, reports progress, and advises external clients on verification strategy. Work is fully remote with possible domestic and international travel.