Quantitative Developer (Python)

About the Role

We’re looking for an AI Infrastructure Engineer (Python) to build and support the systems that power AI applications in production. This role is focused on infrastructure—not modeling—working across cloud platforms like Azure and GCP to keep AI systems running smoothly, reliably, and at scale.

What You’ll Do

Engineering & Operations

• Build and maintain Python services for data pipelines and AI workflows
• Manage deployments, containers, and service lifecycle
• Handle configs, secrets, and dependencies across environments
• Troubleshoot issues across both application and infrastructure layers

AI Platform

• Run and scale AI systems in production
• Ensure performance, uptime, and reliability
• Set up monitoring, logging, and alerting
• Support integrations between AI systems and data platforms

Cloud & Infrastructure

• Build and manage infrastructure with Terraform (Azure & GCP)
• Work with cloud services (containers, networking, identity, secrets)
• Maintain CI/CD pipelines and deployment workflows
• Document systems and processes

What They’re Looking For

Required

• 3–5 years in Software Engineering, DevOps, or MLOps
• Strong Python experience in production environments
• Experience with Docker and cloud platforms (Azure or GCP)
• Hands-on Terraform experience
• Familiarity with CI/CD and Git workflows
• Strong troubleshooting skills
• Interest in AI infrastructure

Nice to Have

• Experience with Azure or GCP services
• Workflow tools like Prefect
• Exposure to AI frameworks (e.g., LangChain)
• Monitoring/observability tools
• Experience with data tools (dbt, Snowflake)
• Multi-cloud experience