Top Remote Python Jobs in Atlanta, GA

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

The Senior Software Engineer II at Freenome will design and develop reliable backend services, mentor junior engineers, and collaborate with cross-disciplinary teams in a remote setting.

Lead development and optimization of fabrication processes for integrated photonic devices (electro-optic materials). Design experiments, own wafer lots at foundries, define metrology and failure analysis, improve yields, collaborate with internal and external photonics engineers, and implement process improvements to reduce loss and scale production.

Lead and support design, deployment, administration, and Tier-2/3 support of AWS and hybrid-cloud systems. Maintain Linux/Windows servers, IP networking, automate operations with IaC/configuration management, produce documentation, and troubleshoot mission-critical infrastructure in a secured, fast-paced environment.

Lead 24x7 application support for external web applications: manage incidents, perform RCA, implement preventative fixes, build monitoring/alerts, expand Splunk functionality, create dashboards, collaborate with development and platform teams, and participate in on-call rotation.

Build and maintain the core backend product: design and implement features, take ownership of end-to-end outcomes, iterate and fix bugs without a QA team, collaborate with product on scoping, and contribute to company culture and hiring.

Lead technical direction for a major product domain, reduce architectural debt, mentor engineers, standardize AI-agent workflows, and design scalable backend solutions integrating LLMs and cloud services. Drive cross-team RFCs, cookbook standards, and adopt agentic AI tooling while balancing security, quality, and delivery.

The role involves designing and maintaining scalable cloud infrastructure, optimizing CI/CD pipelines, and mentoring junior engineers while focusing on improving developer experience.

The Energy Engineer will integrate building automation systems data into Ameresco's platform, support on-site gateways, and ensure data quality while collaborating with stakeholders and customers.

Design, develop, and maintain automated functional, performance, and security test scripts for the GEOMAP platform. Integrate tests into CI/CD using government-approved tools, convert manual tests to automation, perform regression/performance/interoperability testing, maintain traceability and test artifacts, collaborate with Scrum teams, support government third-party testing, and participate in defect triage and root cause analysis.

Lead design and implementation of backend services and distributed systems for real-time AI automation. Build scalable, observable microservices, streaming data pipelines, and async event-driven architectures. Collaborate across frontend, product, and DevOps to ensure performance, reliability, and seamless integration at scale.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Design and implement automated test frameworks and data validation utilities for enterprise data platforms. Validate data transformations, pipelines, lineage, and performance across Databricks, Snowflake, Spark, Hadoop and cloud environments. Integrate tests into CI/CD, perform white-box and performance testing, investigate production defects, and collaborate with Data Engineering, Analytics, and business stakeholders to ensure P&C insurance data quality and regulatory readiness.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

Design, implement, and maintain AWS cloud infrastructure; modernize platform tooling and EKS footprint; optimize managed datastores; build self-service CI/CD, developer templates, and automation; enforce IAM/security controls and compliance; monitor performance and collaborate with engineering and ML teams.

Design, build, and maintain cloud-based data pipelines and infrastructure on AWS, integrating on-prem and cloud flows. Implement IaC, CI/CD, containerization, observability, and automation to ensure high-throughput, reliable data ingestion and processing for autonomous systems.

Own and extend simulation tooling for autonomy: integrate simulators with the production autonomy stack, ensure determinism and reproducibility, run large-scale cloud scenario execution, build evaluation and triage tooling, author scenarios, and maintain pipeline performance and coverage for V&V and release gating.

Lead a small engineering team to design, build, and deliver full-stack features using React, TypeScript, Python (Django), Node.js, and PostgreSQL. Own technical delivery from design through deployment, driving testing, CI/CD, containerized deployments (Kubernetes), event-driven architectures (Kafka), performance, reliability, and mentoring across the team while partnering with Product and Design.

Operate, maintain, and scale large data-center Ethernet fabrics; respond to incidents and participate in on-call rotation; execute maintenance, upgrades, and hardware replacements; troubleshoot latency, packet loss, and connectivity; and build automation/tooling (Python/Go, Ansible, Git) to streamline operations.

Build and maintain full-stack features, data pipelines, and cloud infrastructure for large-scale ad management and analytics. Integrate with advertising platform APIs, apply ML/NLP for forecasting and recommendations, collaborate with product and marketing teams, and use AI coding tools to accelerate development.

Design, build, and maintain scalable backend services and APIs for millions of users. Collaborate with product and UX, implement automated testing, participate in on-call incident management, and mentor teammates while delivering complex distributed-system projects.

Own and evolve the AWS and Kubernetes platform, build Terraform modules, Helm charts, and GitHub Actions workflows, enhance platform capabilities with Go/Python, implement monitoring and runbooks, ensure secure CI/CD and data segregation, and support Node.js/React/Next.js engineering teams.

Design, build, and maintain scalable data pipelines and ingestion agents for fleet robotics. Define efficient data formats/protocols, implement observability and big-data processing (Spark/Kafka), and build cloud tools (S3, Athena, SageMaker) for analytics, IoT integration, and long-horizon forecasting to improve robot performance and operational insights.

Build and own end-to-end, production-grade full‑stack features across backend, frontend, data pipelines, and infrastructure. Collaborate with stakeholders to translate business problems into shipped software, drive cross-team initiatives, and improve tooling and code quality. Use AI coding tools daily to accelerate development and maintain reliability for customer-facing products.