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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