Top Remote Python Jobs in Atlanta, GA

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

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.

Lead frontend architecture and product development for member-facing web and mobile apps. Build high-performance, accessible React/React Native UIs, own end-to-end features including APIs and backend services, mentor engineers, drive design system and frontend standards, and collaborate with Product, Design, Clinical, and Data teams to deliver scalable, user-centered health experiences.

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.

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, 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.

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

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.

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.

Lead design and implement deep mobile platform integrations (primarily iOS) across the Graykey product. Debug across layers (Python, native C/C++, OS userspace and kernel), analyze crash dumps and disassembled binaries, drive features from design through production, mentor engineers, and collaborate with firmware and product teams to ensure reliable multi‑device, multi‑OS operation.

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 Senior Solutions Architect, you will engage with customers, develop strategies with Account Executives, and coach junior staff while promoting the Databricks platform through technical engagements and community involvement.

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.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design, implement, test, and maintain low-level embedded firmware for ARM Cortex-M systems. Debug hardware/software issues using lab equipment, develop Python host tools, support hardware bring-up, CI/CD and automated testing, resolve manufacturing and field issues, and participate in architecture, code reviews, and documentation.

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 and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

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.