Top Remote Python Jobs in Atlanta, GA

As an AWS Solution Architect, you'll design and implement Amazon Connect solutions, improve customer processes, lead technical teams, and educate clients on AWS value.

Lead architecture, delivery, and operation of large distributed telemetry databases. Define technical strategy, SLOs/SLIs, and reliability practices; drive performance, cost, and observability improvements; lead incident response and cross-team projects; mentor engineers; and represent engineering to stakeholders.

Build and operate the platform: manage EKS/Kubernetes, implement GitOps (ArgoCD), maintain CI/CD (GitHub Actions), define SLIs/SLOs, lead incident response/on-call and post-mortems, design observability (Datadog, Sentry, CloudWatch, Grafana), automate infra with IaC (Terraform/CloudFormation/Crossplane), write Python tooling, and shape platform architecture and self-service workflows.

Define the architectural foundation for processing unstructured data for LLM applications. Oversee the core platform's development and mentor engineering teams.

You will develop and maintain components of the LLVM based toolchain, collaborating with the community while ensuring platform-specific optimizations and tests.

The Staff Engineer will build data-driven experimentation systems, lead statistical engine design, ensure correctness in A/B testing, and mentor team members while collaborating cross-functionally.

Lead Fullstack Developer responsible for team leadership, architectural decisions, and implementation of backend and frontend solutions using various technologies, with a focus on AI.

The Forward Deployed Engineer integrates CrewAI's products into client systems, ensuring successful implementation by understanding technical requirements and business contexts. They lead deployable solutions, conduct workshops, and monitor performance, ultimately enhancing client satisfaction and value delivery.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

Develop and integrate software solutions for geolocation data processing using Python and various user interfaces within a CI/CD environment. Responsible for testing, validation, and ongoing support of software systems.

The Software Engineer will design and implement reliable services and APIs using Golang and Python, ensuring performance, scalability, and system reliability while collaborating with cross-functional teams.

Deploy, operate, and support the Istari platform across customer environments, including cloud, on-premises, Kubernetes, and air-gapped deployments. Configure infrastructure as code, networking, identity federation, IAM, secure data sharing, and production services. Troubleshoot complex infrastructure issues, build reference architectures, and communicate with technical and non-technical customer stakeholders. The role requires strong DevOps and Kubernetes expertise, automation skills, customer-facing consulting experience, and familiarity with regulated environments.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads design, implements data pipelines, ML integration, CI/CD, and reusable assets while embedding with customers to drive measurable outcomes.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

The Senior Software Engineer will develop reliable systems for IoT fleet management, create user interfaces, and support data engineering tasks.

As an AI Applications Engineer, you will bridge AI research and implementation, driving experiments, building infrastructure, and releasing products to improve user experience and metrics.

The Senior Platform Engineer designs and operates Kubernetes infrastructure, automates tasks, enforces platform standards, and collaborates across teams to improve engineering velocity and scalability.

Design, build, and support cloud-native full stack or backend Java products using TDD, CI/CD, microservices and event-driven patterns. Collaborate with product teams, provide production support, implement monitoring and ensure secure, performant systems.

The Engineering Manager will lead teams building a scalable device passport platform, mentor engineers, manage backlog, and contribute coding while ensuring quality and documentation standards.

As a Senior Software Engineer, you will architect and implement Python-based systems, lead feature design and delivery, ensure scalability and reliability, and mentor junior engineers.

As a mid-level Software Engineer, you'll deliver Python-based platform features, collaborate with teams, and maintain system reliability and scalability.

Responsible for maintaining and enhancing data warehouses and pipelines, developing scalable ETL processes, data analysis, and reporting through visualization tools like PowerBI.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Design and build LaunchDarkly’s next-generation experience platform across its product suite. Lead user experience and supporting platform development, collaborate with product teams, mentor engineers, set technical direction, and own operational excellence through monitoring, observability, incident response, telemetry, alerting, and on-call responsibilities.