Top Python Jobs in Atlanta, GA

The Site Reliability Engineer (SRE) will enhance production system stability and performance, collaborate with DevOps, manage on-call responsibilities, and improve observability. Responsibilities include monitoring, reliability engineering, incident management, and documentation.

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.

Lead a team of engineers to operationalize data science models, ensuring deployment reliability, developing engineering solutions, and optimizing resources for machine learning operations.

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 Senior Site Reliability Engineer will design and maintain scalable infrastructure, develop software solutions for reliability, manage CI/CD pipelines, and collaborate with AI teams to enhance operational excellence.

The SRE Specialist will design reliability solutions, enhance system observability, respond to incidents, and collaborate with engineering teams to improve data platforms.

The Gen AI Data Engineer II develops and maintains solutions for Generative AI initiatives, including data processing and integration with data scientists and engineers.

Lead engineering teams in delivering actuarial and financial solutions, managing technical direction and project execution, focusing on cloud and data solutions.

The Application Engineer will develop and enhance web applications, troubleshoot issues, and collaborate with teams to implement solutions within the payment processing ecosystem.

Responsible for designing, building, and implementing web and process applications while troubleshooting technical issues and assisting in the QA process.

Design and implement QA methods and procedures, develop automated UI tests, manage UNIX jobs, document bugs, and collaborate with development teams.

The role involves designing, coding, troubleshooting, and implementing complex software applications, particularly in Java and AWS environments. Candidates must have strong expertise in AWS and significant programming experience.

The AI QA Automation Manager will oversee QA processes, manage a team of QA engineers, drive AI automation strategies, and ensure product quality in an Agile environment.

The Jr Software Developer will deliver technical demonstrations, troubleshoot issues, install and configure software tools, prepare documentation, and travel to client sites for support.

As a Computer Systems Analyst, you will perform technical demonstrations, troubleshoot, install and configure software, prepare documentation, and travel to client sites.

Java Consultants will analyze requirements, developing and maintaining application systems. Duties include technical demonstrations, troubleshooting, and preparing documentation.

Support clients with technical demonstrations, troubleshooting, installation, and configuration of software. Travel to client sites required.

As a DevOps Engineer, you will manage AWS infrastructure, CI/CD pipelines, monitoring systems, and implement security practices while automating tasks using Python/Bash.

The Lead Data Engineer manages end-to-end delivery of finance and accounting data solutions, focusing on cloud-native architectures using Snowflake and AWS, while also leading projects and mentoring teams.

The role involves designing and optimizing scalable backend systems using Python and AWS, focusing on metadata processing for large datasets.

As a Technical Engineering Manager, you will lead a global engineering team to integrate Generative AI into AIG's software portfolio, focusing on building scalable, cloud-native applications and managing the software development lifecycle.

The Senior ACI Network Architect designs, implements, and manages data center networks, ensuring performance and security while mentoring staff.

Develop, maintain, and run automated and manual tests for AI-driven features and integrations. Collaborate with product, development, and data science teams to validate RESTful services, troubleshoot production issues, and produce QA documentation and test artifacts in an Agile environment.

The Full-Stack AI Software Engineer develops complex solutions, performs integration, leads projects, and collaborates with business stakeholders. They are responsible for coding, testing, and supporting AI/ML applications using various programming languages and cloud technologies.

As a Site Reliability Engineer, you'll ensure system availability and performance, respond to incidents, and improve operational processes. Collaborate with teams to enhance reliability and reduce risks through automation and monitoring.