Top Remote Python Jobs in Atlanta, GA

Designs and implements automation for spacecraft and ground station operations, monitors satellite health and telemetry, troubleshoots anomalies, executes operational procedures, coordinates orbit maneuvers, and supports satellite integration. The role collaborates across engineering teams to maintain satellite services and fleet performance.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Designs and owns CI/CD, cloud infrastructure, deployment automation, security gates, and observability across multiple application teams. Establishes shared DevSecOps standards, validates AI-generated pipelines and infrastructure, supports production operations and on-call response, and guides teams on secure, reliable software delivery. The role requires production experience with AWS or Azure, Kubernetes, containers, serverless, infrastructure as code, modern programming languages, security automation, compliance, and application monitoring.

Own full-stack features end to end, including system design, implementation direction, testing, deployment, production operations, and incident response. Use agentic AI to generate code, tests, and reviews while validating quality and security. Build production APIs, data models, authentication, schemas, migrations, and scalable SQL. Collaborate with Product, Design, and DevOps, and apply secure coding practices. Bonus experience includes RAG, LLM evaluation and observability, or TypeScript frontend development.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Develop productionized machine learning workflows, cloud infrastructure, distributed data-processing pipelines, and a multi-tenant data lake for autonomous-driving AI. Build internal APIs, CI/CD processes, and developer productivity tools while collaborating with research engineers. The role requires strong software engineering, DevOps, infrastructure-as-code, microservices, networking, and data infrastructure expertise.

Design and implement motion-planning software for autonomous vehicles, including behavior planning, trajectory generation, safety constraints, and real-time embedded performance. Integrate planning with perception, prediction, localization, and control systems. Validate solutions through simulation, closed-course trials, and on-road testing while addressing complex edge cases and collaborating with vendors, AI teams, and customers.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.

Designs, builds, and maintains scalable backend services, APIs, databases, data flows, and infrastructure. Leads complex features from design through deployment while improving performance, observability, security, testing, and reliability. Integrates third-party platforms, supports cloud infrastructure and CI/CD practices, and mentors engineers through technical guidance and knowledge sharing.

Administer and modernize enterprise data platforms by migrating SQL Server to Azure Databricks. Manage Databricks workspaces, clusters, SQL Warehouses, security, governance, networking, monitoring, performance, and production support. Build infrastructure automation with Terraform and CI/CD, integrate source control and deployment processes, support data and AI teams, and maintain secure, compliant healthcare data environments.

Designs, implements, and maintains secure integrations between IAM platforms and external systems such as ID.me, ServiceNow, and the ELK Stack. Develops APIs, middleware, data transformations, and iPaaS workflows; configures monitoring and alerting; troubleshoots cross-platform data flows; and ensures secure transmission and federal compliance. The role also produces technical documentation and collaborates with agile teams on development, testing, and deployment.

Provides architectural oversight for complex mainframe software products and mission-critical systems. Designs and validates enterprise architectures, documents components and interfaces, advises technical teams, integrates developer-built components, and communicates with technical, non-technical, and government stakeholders. Requires extensive COBOL and mainframe expertise, healthcare claims and CMS experience, Agile/SAFe knowledge, and ability to obtain Public Trust clearance.

Develop full-stack software for secure, scalable satellite ground communications platforms. Responsibilities include building Python backend services and APIs, designing TypeScript front-end applications, implementing authentication, authorization, microservices, databases, testing, and cloud deployments. The role involves collaborating with MBSE and test teams, translating requirements into technical designs, troubleshooting production issues, supporting integrations, and presenting engineering recommendations. Work requires maintaining secure, reliable systems for U.S. Government missions.

Develop and maintain COBOL-based Medicare claims processing software in a legacy mainframe environment. Responsibilities include designing, coding, debugging, unit testing, implementing enhancements, troubleshooting defects, supporting Agile/Scrum delivery, preparing estimates, maintaining documentation, and collaborating with team members, clients, and vendors. The role supports Durable Medical Equipment claims processing and requires adherence to structured development standards.

Leads global new product introduction activities for optical networking hardware and software, including customer onboarding, demonstrations, lab certifications, test planning, troubleshooting, escalations, and early field trials. Serves as the liaison between customers, support, engineering, testing, and product teams from first customer shipment through general availability. Uses customer feedback to improve serviceability, product quality, adoption, and overall customer experience.

Develop and maintain OpenBMC firmware features, support platform bring-up, porting, migration, integration, debugging, and upstream changeset adoption. Implement and validate management protocols and hardware interfaces, troubleshoot firmware-hardware issues, and collaborate with platform, hardware, and validation teams through testing and release activities.

Designs scalable, production-grade architectures for enterprise applications, distributed systems, cloud platforms, APIs, integrations, and data flows. Defines architectural standards, evaluates technology trade-offs, and guides cloud engineering, modernization, CI/CD, infrastructure as code, observability, security, and reliability practices. Provides technical leadership through design reviews, mentoring, client collaboration, solution shaping, and technical planning while supporting scalable and maintainable software delivery.

Design and scale infrastructure for cloud and on-premises deployments supporting enterprise AI workloads. Build containerized systems, Kubernetes and Docker Compose deployments, Helm charts, CI/CD pipelines, infrastructure automation, monitoring, and security solutions. Support customer production deployments, troubleshoot distributed systems, improve developer productivity, mentor engineers, and establish infrastructure standards across engineering teams.

Build and deliver full-stack features for a web-based broker platform, collaborate with product and design, manage technical debt, shape architecture for scalability, participate in code reviews, and adopt AI-powered developer tools.

The IT Systems Engineer will architect and maintain Tempo's IT infrastructure, focusing on identity management, endpoint security, and automation, ensuring efficient provisioning and compliance.

Leads a large engineering team responsible for scalable customer runtime infrastructure supporting Drupal, WordPress, and Next.js sites. Oversees technical strategy, architecture, project delivery, modernization, operational reliability, mentoring, performance management, and cross-functional collaboration. Guides cloud infrastructure transformation, reviews critical code, manages multiple priorities, and develops a high-performance engineering culture across global teams.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Build and own core platform infrastructure, including Terraform, cloud environments, CI/CD pipelines, developer tooling, observability, monitoring, alerting, secrets management, and deployment abstractions. Partner with product engineers to improve delivery speed and reliability, support GCP messaging infrastructure, develop compliance tooling, improve cost visibility, and independently operate production systems in a regulated fintech environment.