Top Remote Python Jobs in Atlanta, GA

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Design and build unified testing frameworks enabling portability across SIL, HIL, and simulation. Configure and maintain physical HIL benches and hardware interfaces, integrate automated HIL tests into CI pipelines, collaborate with software teams to improve HIL/CI systems, and monitor runtime performance, system health, and reliability metrics across testing platforms.

Validates complex enterprise data processing, transformations, migrations, reconciliations, reporting, business rules, APIs, and event-driven workflows. Develops data validation strategies, automated database validation scripts, migration tests, and reconciliation reports. Partners with data architects and engineers while mentoring junior testers. The role requires advanced SQL, automation, ETL validation, relational data modeling, large-scale migration testing, and Python programming.

Design and scale ARM64 compute platform infrastructure, hypervisor integrations, instance management, resource orchestration tools, and compute APIs. Develop and maintain low-level services using Python, Go, or compiled systems languages. Collaborate with hardware and global engineering teams, participate in design reviews, debug distributed Linux systems, and mentor junior engineers.

Designs, simulates, lays out, and characterizes high-speed integrated photodetectors, including PIN, APD, and waveguided structures. Responsibilities include optical and RF modeling, custom mask layout, foundry process optimization, and electro-optic testing of devices operating beyond 200 Gbps per lane. The role requires collaboration with process integration, validation, test, customer, and manufacturing teams to transition photonic components from concept through high-volume production.

Develop and own compute and GPU server platforms from architecture through global deployment. Responsibilities include schematic and layout reviews, design for manufacturability, new product introduction, board and system bring-up, validation, debugging, firmware and BIOS feature management, technology qualification, and vendor coordination. The role requires hands-on server architecture, board-level design, Linux and scripting expertise, platform validation, and five-day-per-week presence in the Cambridge office.

Leads a team of 10 engineers building and maintaining NIBRS and compliance reporting capabilities for public safety records platforms. Oversees technical quality, validation, certification, delivery, incident follow-through, resource allocation, and team development. Partners with product, R&D, agencies, and regulators to implement federal and state reporting requirements, improve engineering operations, and define the roadmap for new states, report types, automation, and platform capabilities. The role is remote within the United States with travel of up to 25%.

Designs, builds, tests, deploys, and optimizes full-stack product features using React and Python. Develops GraphQL integrations, scalable backend services, data visualizations, analytics instrumentation, and production-ready platform capabilities. Contributes to UX workflows, CI/CD, monitoring, code quality, and stakeholder updates while collaborating in agile sprints and evaluating new technologies.

Lead the design, operation, and scaling of AWS cloud infrastructure and Kubernetes production environments for a fintech platform. Build infrastructure-as-code, CI/CD pipelines, observability, and deployment tooling while improving reliability, security, performance, and resilience. Partner on PostgreSQL administration, scaling, backups, and performance tuning. Participate in incident response, root-cause analysis, and operational standards development for sensitive financial workloads.

Develop and maintain Python-based automated test frameworks for software-, hardware-, and model-in-the-loop environments supporting power plant controllers and SCADA systems. Define verification and validation plans, integrate testing into CI/CD pipelines, execute tests across multiple environments, investigate requirements, analyze failures, and perform root cause analysis using engineering tools and telemetry. Collaborate with controls and systems teams to ensure reliable production-ready software.

Define and lead architecture for scalable, cloud-native backend platforms supporting e-commerce, loyalty, identity, payments, and customer engagement. Design event-driven microservices, APIs, integrations, data platforms, and AWS infrastructure while establishing governance, observability, security, resiliency, and CI/CD standards. Provide technical leadership across engineering programs, modernization initiatives, architecture reviews, and enterprise stakeholder collaboration for high-volume QSR and consumer digital ecosystems.

Designs, develops, and maintains complex distributed software systems. Writes high-quality code, leads design and code reviews, translates product requirements into scalable architectures, leads sprint delivery, collaborates with stakeholders, and mentors engineers. The role requires expertise in programming, databases, APIs, messaging, microservices, containerization, DevSecOps, and technical strategy.

Design, develop, and maintain complex distributed software systems. Write tested, high-quality code; translate product requirements into scalable designs; lead design, code, and sprint activities; collaborate with stakeholders; and mentor engineers. The role also drives technical strategy, resolves delivery impediments, and promotes secure, maintainable, and reusable engineering solutions.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based IaC, and CI/CD pipelines. Integrates MLOps and DevSecOps practices, automates deployment and system administration, monitors performance and cost, supports incident response, and collaborates with engineering teams to improve platform architecture and reliability.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

Deploys and operates AI-powered customer solutions, owning integrations, authentication, secrets, hosting, monitoring, and releases. Builds reusable tooling and platform components, develops customer-facing AI applications and workflows, leads technical discovery, translates business needs into deployable designs, and partners with Product, R&D, and Customer Success. Requires strong customer communication, software delivery ownership, cloud and DevOps expertise, product thinking, and experience with Python or TypeScript, SQL, REST APIs, and LLM-based systems.

Architect and lead RapidFort’s scalable build platform for producing hardened container images. Responsibilities include designing distributed build systems, automating image creation and validation, improving reliability and performance, solving Linux and container infrastructure challenges, establishing software supply chain standards, influencing cross-team architecture, and mentoring engineers. The role requires deep expertise in Linux, Docker, Kubernetes, Python, Bash, CI/CD, distributed systems, and build automation.

Designs, develops, deploys, and operates scalable Go and Python microservices in distributed production environments. Responsibilities include API design, Kubernetes deployment, monitoring, scaling, troubleshooting incidents, system architecture, security, testing, code reviews, and continuous improvements to development processes and infrastructure. The role requires end-to-end service ownership, strong Linux and Docker expertise, observability knowledge, and experience with reliability, performance, and CI/CD practices.

Build, configure, administer, and support enterprise SaaS applications, ERP/CRM integrations, SQL data models, ETL processes, and automated workflows. Diagnose production issues, improve reliability, manage testing and deployments, document systems, coordinate vendors, and partner with business, data, security, and validation teams to deliver dependable commercial applications.

Build and maintain reliable data pipelines, APIs, integrations, and event-driven or batch processing systems. Transform data from advertising, ecommerce, order management, and event sources while improving monitoring, freshness, performance, and scalability. Collaborate with data engineering, infrastructure, product, and business teams to extend the integration platform in a cloud-native, multi-tenant environment.

Lead backend-focused software architecture and development across distributed systems, data ingestion, experimentation platforms, AI workflows, and product capabilities. Build primarily in Python while contributing to React and TypeScript frontend work. Translate ambiguous product needs into scalable production systems, guide technical direction, partner with product and data teams, mentor engineers, and improve engineering practices.

Build backend services, APIs, data-processing systems, and frontend features for Northbeam’s marketing intelligence platform. Work on experimentation, near-real-time data infrastructure, AI-powered workflows, data integrations, RBAC, and end-to-end product delivery. Collaborate with data scientists, product managers, designers, and senior engineers while contributing across backend, frontend, pipelines, and infrastructure in a fast-moving environment.

Owns the reliability, security, performance, and availability of AWS-hosted healthcare infrastructure. Builds infrastructure as code, CI/CD automation, monitoring, observability, backup and disaster recovery capabilities. Leads incident response, optimizes cloud resources, implements security controls, supports customer onboarding and migrations, and ensures compliance with healthcare privacy and software lifecycle requirements. Participates in on-call rotations and provides technical guidance to engineering and support teams.

Leads the design, development, integration, modernization, automation, and optimization of complex enterprise healthcare applications. Architects data pipelines and interfaces, manages upgrades and performance tuning, partners with architecture and security teams, establishes technical standards, and mentors engineers. The role requires expertise in healthcare interoperability, enterprise application architecture, scripting, deployment pipelines, security, scalability, and regulatory compliance.

Build and maintain Clay-based GTM automation, enrichment pipelines, lead scoring, CRM and outbound-tool integrations, and reporting systems. Automate workflows using APIs, webhooks, Python, or JavaScript; improve data quality, deliverability, and campaign performance; and partner with sales and marketing to convert business needs into scalable technical solutions.