Python Technical Lead

We are seeking a Python Technical Lead to shape and deliver a Modeling-as-a-Service platform that standardizes the lifecycle of financial models from development to monitoring. You will lead a team building distributed backend services and REST APIs in a restricted Azure environment.

Responsibilities

Lead the architecture, design, development, and deployment of backend platform capabilities in a restricted greenfield Azure environment Design and implement REST APIs to deploy and query deterministic and predictive financial models Build backend services using Python with FastAPI and Pydantic to support model packaging and execution Define standards and guidelines for model packaging, MLflow integration, deployment patterns, and API design Leverage Azure Databricks and MLflow to enable model hosting, lifecycle management, and deployment workflows Drive CI/CD automation using GitLab and embed DevOps practices across the development lifecycle Establish best practices for code quality, testing strategy, observability, and maintainability Lead and mentor a team of 5+ engineers and support collaborative technical decision-making Collaborate with architects, engineers, and stakeholders to translate business and technical requirements into scalable solutions Requirements 7+ years of professional experience in software or data engineering 2+ years of technical leadership experience leading engineering teams Strong Python expertise including async programming, multithreading, exception handling, and REST API development Hands-on FastAPI and Pydantic experience building production services Strong Microsoft Azure experience with Azure Databricks, Azure App Service, and IAM/RBAC Strong CI/CD knowledge with GitLab and modern DevOps practices Practical Docker and Kubernetes experience for containerized deployments Solid distributed systems knowledge and API design skills Strong problem-solving skills and system design skills Excellent communication skills and stakeholder management skills in technical discussions Agile development experience in cross-functional delivery teams English proficiency: B2 Upper-Intermediate (CEFR) or higher with strong spoken communication Nice to have Experience with financial models, ML platforms, or model-serving solutions Experience designing Modeling-as-a-Service (MaaS) or similar platform architectures Familiarity with machine learning model deployment and monitoring approaches Experience delivering in enterprise environments with strict security and access-control requirements