Top Remote Python Jobs in Atlanta, GA

The Integration Engineer will design and maintain healthcare data integrations, collaborating with teams to optimize performance and improve reliability using Python and various standards.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

The Sustaining Operations Engineer resolves complex Linux-related issues, collaborates with teams, participates in communities, and provides escalation support, driving issues to resolution and maintaining operational success.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

The Senior Data Engineer will design and optimize data pipelines, support MLOps initiatives, collaborate with teams, and ensure data quality for AI/ML projects.

As a Software Engineer at MerusCase, you will develop and enhance software features, collaborate with teams, troubleshoot issues, and uphold coding standards while mentoring junior engineers.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Collaborate with a distributed team to develop, maintain, and modernize the Landscape management software for Ubuntu, focusing on quality code and automated testing.

Canonical is seeking exceptional software engineers for the Linux kernel team, involving collaboration on Ubuntu's kernel development across various hardware. Responsibilities include diagnosing kernel issues, improving automation, and participating in global tech events twice a year.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

The role involves building a large-scale data ingestion system using Python, web scraping, and data processing technologies to extract and classify data from diverse sources, and optimize data pipelines.

As a Forward Deployment Engineer, you'll translate business needs into technical architectures, prototype AI applications, and integrate solutions while collaborating with teams to drive transformations.

Join Aleph's engineering team to develop the Core Product, focusing on user-facing features for financial data insights. Collaborate with leadership, design robust software components, and contribute to system architecture in a fast-paced, remote environment.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Design, build, operate, and evolve backend services and runtime infrastructure for cloud orchestration and job execution. Own distributed, asynchronous systems, APIs, workers, persistence, and service-to-service coordination. Improve reliability, observability, testing, and operational tooling; lead cross-team designs and mentor engineers.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Develop high-fidelity RGB and LWIR camera models and synthetic-data pipelines in Unreal Engine, stream sensor outputs to ROS 2, implement noise/artifacts and target injection, manage 3D asset pipelines, and optimize headless/real-time simulation for perception and Target State Estimation testing and CI/CD integration.

Design, develop, and deploy Python- and Java-based scalable REST APIs for a multi-tenant web platform. Collaborate with product, data science, and clinical partners, and ensure software quality, security, and engineering best practices.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

Lead design and delivery of scalable, cloud-native healthcare systems and real-time data pipelines. Architect event-driven, batch/stream hybrid solutions, integrate clinical data standards, optimize performance and costs, mentor engineers, and collaborate with product and stakeholders to deploy resilient, compliant services.