Top Remote Python Jobs in Atlanta, GA

Lead the architecture, development, testing, and deployment of hyperscale distributed storage systems optimized for AI and machine learning workloads. Drive innovations in scalability, performance, security, durability, and efficiency while collaborating with AI researchers and cloud infrastructure teams. Mentor engineers, guide technical strategy, and help shape Azure Blob Storage into an AI-native platform supporting zettabyte-scale storage.

Designs and manages cloud infrastructure across development, staging, and production using Terraform and AWS. Builds containerized environments with Docker, ECS, and Kubernetes; develops CI/CD pipelines; manages networking, routing, APIs, WAF, monitoring, and autoscaling. Troubleshoots infrastructure and deployment issues, optimizes performance and reliability, and collaborates with development and QA teams. The role also supports cloud-agnostic architecture, observability, Linux administration, and automation scripting.

Build and operate secure, cloud-native payment systems supporting card, alternative payment, tokenization, fraud, settlement, and reconciliation workflows. Develop APIs and event-driven services, integrate payment processors, manage Kubernetes and service mesh infrastructure, improve reliability and transaction performance, and maintain observability. Participate in on-call rotations, incident reviews, security and compliance activities, CI/CD improvements, documentation, and cross-functional delivery. Requires software engineering experience, payment systems expertise, cloud knowledge, secure coding practices, and familiarity with PCI DSS.

Develop and maintain software while supporting cloud engineering operations, automation, troubleshooting, code review, and deployment quality. The role works with Azure and AWS, scripting tools, networking, container platforms, and build and release processes. Responsibilities include implementing technical solutions, improving system performance and business processes, mentoring developers, identifying risks, and collaborating with cross-functional engineering, QA, product, and business teams.

Leads and mentors software engineers while designing, architecting, developing, and delivering scalable web applications. Owns technical solutions from requirements through implementation, conducts code reviews, resolves complex issues, and enforces quality, security, and performance standards. Collaborates with product, architecture, and QA teams on Agile delivery, release management, and DevOps practices. Uses cloud platforms, CI/CD, and modern frontend and backend technologies to build secure software, potentially within regulated medical-device environments.

Leads Magnit’s migration from on-premises infrastructure to AWS-based cloud platforms and builds an internal developer platform using Kubernetes, GitOps, CI/CD, and infrastructure as code. Oversees cloud foundations, reliability, observability, security, networking, FinOps, vendor management, and data center exit activities. Establishes SRE practices, drives platform adoption and developer experience, and leads global cloud, platform, SRE, and network engineering teams while partnering with executives and cross-functional organizations.

Design, build, and operate highly available, high-throughput backend services for Twilio SendGrid. Modernize Go-based microservices, manage dual-cloud AWS/Azure infrastructure with Terraform, improve observability and reliability, mentor engineers, and balance feature delivery with platform refactoring.

Design, develop, and scale mission-critical backend applications and distributed services. Build Python and Celery services, FastMCP services, Docker Swarm environments, and horizontally scalable architectures. Optimize Couchbase and NoSQL data systems, troubleshoot Linux-based distributed environments, and apply cloud-native AWS practices. Collaborate cross-functionally to deliver secure, reliable solutions while using spec-driven development and AI coding tools.

Develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product teams, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security and privacy practices, and root-cause analysis. Use approved AI-assisted development tools responsibly across coding, testing, debugging, documentation, and delivery while maintaining accountability for software quality, reliability, performance, and maintainability.

Build backend services, APIs, data workflows, AI-enabled applications, coding agents, and secure DevSecOps pipelines for government and defense customers. Establish controlled AI development environments, automated quality and security testing, compliance evidence, software supply-chain protections, and Platform One-compatible deployment workflows. Modernize legacy applications and collaborate with software, platform, cybersecurity, and mission teams to transition R&D prototypes into secure operational capabilities.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Build and maintain data-intensive, interactive web products across the full stack. Architect and implement API and frontend features, validate FastAPI responses with Pydantic, access Postgres via SQLAlchemy, optimize performance and scalability, implement testing and QA, participate in code reviews, refine UX, and help define engineering processes at an early-stage company.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Develop and implement digital pre-distortion algorithms and production software for radio hardware. Model nonlinear power amplifier behavior, select DPD engines, collaborate with hardware design teams on DFE, AFE, and feedback paths, troubleshoot radio performance, and test hardware robustness. The role requires advanced DSP, nonlinear system modeling, RF expertise, FPGA or ASIC experience, programming in Matlab, Python, and C++, and at least three years of relevant industry experience.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Create and maintain developer documentation, tutorials, API references, troubleshooting guides, and runnable examples for LanceDB. Build documentation designed for both developers and AI agents, validate AI-generated content, maintain documentation tooling, automate code and link checks, and collaborate with engineering, product, and open-source communities. The role requires strong Python skills, database and data workflow knowledge, technical writing expertise, and experience with Git-based development workflows.

Provides L2 technical support for a B2B SaaS platform by investigating escalated issues, reproducing problems, shipping bug fixes, and supporting L1 representatives. The role partners with Engineering, Product, Customer Success, and senior engineers, identifies recurring issues, improves visibility through metrics, documents findings, and writes knowledge-base content. The position works remotely on a 3 PM–11 PM ET weekday shift with alternating Saturday on-call coverage.

Supports and administers customer Azure environments, troubleshooting incidents, monitoring performance, implementing custom solutions, and executing planned changes. Participates in on-call rotations, documents work, collaborates across technical teams, engages Azure Support, and provides capacity and performance recommendations. The role also requires customer communication, staying current with Azure services, mentoring junior engineers, and contributing to automation and cloud infrastructure improvements.

Designs and implements ITIL/ITSM automation and orchestration workflows across ServiceNow, cloud, monitoring, and DevSecOps platforms. Builds REST integrations and reusable scripts using Python, JavaScript, and PowerShell; automates Change, Incident, Request, and CMDB processes; connects infrastructure and support systems; and collaborates with service owners to modernize enterprise service delivery. Requires active Secret clearance, U.S. citizenship, and eligibility for Top Secret/SCI.

Maintain and improve AWS-based Kubernetes infrastructure, GitLab CI/CD pipelines, Terraform modules, and Helm deployments for a satellite communications platform. The role focuses on cloud reliability, security, observability, IAM, troubleshooting, automation, and operational support across distributed engineering teams.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Owns application and API services for a multi-tenant, multi-cloud AI platform serving enterprise finance teams. Responsibilities include designing versioned APIs, building review and approval workflows, enforcing authentication, authorization, and tenant isolation, creating auditable systems, supporting customer-hosted deployments, and managing service performance, reliability, observability, and cost. The role also establishes backend patterns, reviews designs, mentors engineers, and partners with data, AI, and product teams.

Owns core backend computation services that produce correct, reproducible, traceable, and auditable financial results. Designs configuration-driven architectures, data-intensive services, and set-based warehouse computations. Requires strong Python, SQL, data modeling, system design, reliability, isolation, and testing expertise. Provides technical leadership through design reviews, engineering standards, and mentorship while partnering with data, AI, and product teams.

Build and lead quality engineering for a multi-tenant AI platform. Responsibilities include creating API, UI, backend, performance, security, and database automation; integrating tests into CI/CD; validating cloud and Kubernetes deployments; ensuring tenant isolation and compliance evidence; defining QA standards and release processes; mentoring engineers; and communicating quality risks. Preferred experience includes testing AI/LLM applications, financial systems, observability, chaos engineering, and startup environments.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.