Top Python Jobs in Atlanta, GA

As a Site Reliability Engineer for AI platform, you will ensure system reliability, develop automation, manage infrastructure, and evaluate new technologies.

Seeking a Site Reliability Engineer with expertise in Unix/Linux, scripting languages, and experience in containerization, cloud platforms, and application monitoring tools.

Lead a team to integrate data engineering with actuarial practices, developing data-driven pricing strategies and ensuring data accuracy and compliance while fostering innovation within the actuarial team.

Design, develop, test, and deploy scalable, secure software across the full stack. Own end-to-end feature delivery, write automated tests, troubleshoot production issues, mentor engineers, and drive spec-driven development while leveraging AI-assisted tools to improve productivity and code quality.

The Business Applications Developer will design, develop, and maintain integrations and custom applications across various enterprise systems, enhancing operational workflows and enabling the flow of information.

Support and improve print/mail and mainframe printing systems for reliability and performance. Design and implement infrastructure provisioning, CI/CD pipelines, monitoring/alerting, incident response, and capacity planning across cloud and on-prem environments. Collaborate with development, platform, and operations teams and automate operational tasks to reduce toil. On-site role in Norcross, GA requiring authorization to work in the U.S.

Design, automate, and maintain Azure cloud infrastructure using Terraform. Manage Azure API Management and ActiveMQ, monitor systems with Dynatrace, lead incident resolution, and improve CI/CD pipelines with Git/Bitbucket. Mentor team members and enforce reliability, security, and automation best practices.

Design, implement, and improve internal IT infrastructure, onboarding/offboarding automation, MDM, SSO/IdP, and endpoint security. Serve as technical SME for complex hardware, OS, networking (VPN/DNS/DHCP), and enterprise SaaS issues. Partner with Security, Engineering, and People teams to enforce access governance, compliance, and operational excellence.

The Sr. Hadoop Developer/Architect will lead design and development of solutions using big data technologies, manage teams, and ensure successful delivery of projects.

Develop and maintain production models using Python and SQL, perform troubleshooting, and manage data quality and ETL processes.

Manage and support Esri geodatabases, perform geospatial data processing, ensure data governance, and implement GIS design standards for transportation projects.

The Esri ArcSDE Geodatabase Administrator will manage geodatabase development, editing, analysis, and quality assurance using ArcGIS, along with administration and scripting responsibilities.

The Senior Automation Engineer will lead automation projects, design control logic, mentor teams, and interact with customers to deliver solutions for power systems monitoring and control.

The UAS Flight Test Engineer will conduct technical testing, pilot drones, support logistics, and enhance Drone as First Responder programs, contributing to public safety technology.

The role involves designing cloud-native applications, leading software engineering excellence, and developing AI/ML models while collaborating cross-functionally to ensure system reliability and performance.

Assist in designing, coding, testing, debugging, and documenting software applications; customize solutions and support production applications.

Embed with customers to discover requirements and rapidly design, prototype, and deliver full-stack solutions. Architect and develop production systems, prepare scopes and project plans, maintain proprietary infrastructure, and codify best practices to scale the Forward Deployed Engineering function.

Design, prototype, build, and maintain high-volume real-time telemetry platforms and a passive DNS storage engine. Collaborate with product and stakeholders to turn ideas into production systems, ensure secure, high-quality code, perform peer reviews, and support sales as a technical SME.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Design and implement features for content ingestion pipelines, metadata services, and content processing workflows. Build reliable, observable services that handle diverse file formats, malformed inputs, retries, and asynchronous workflows. Collaborate with ML, Search & Discovery, and Product to improve metadata extraction, classification, and discoverability while leveraging LLM-based tools and AI-driven practices.

Lead design and scaling of content ingestion, metadata, and processing systems. Build reliable pipelines handling messy formats, collaborate with ML, security, and product teams, mentor engineers, and drive platform and AI/LLM integration for content workflows and quality.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Lead technical direction and architecture for the Fable backend, own platform reliability (databases, CI/CD, queues, observability), run incident response and postmortems, mentor engineers, collaborate cross-functionally with product/design/ML, and build platform capabilities enabling faster, safer delivery.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Support and configure a proprietary benefits platform: diagnose and resolve production defects, implement client configurations for plan changes, produce configuration designs and estimates, perform technical analysis, and collaborate with the Implementation Team to ensure quality and timely deliverables.