Python Azure Solution Architect
- Hiring from
- Turkey
- Work type
- Remote
- Posted
- Sep 26, 2026
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Python Azure Solution Architect
Remote in Türkiye
Python.Web& 4 others
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Find me a jobWe are looking for a hands-on Python Azure Solution Architect to join a greenfield Modeling-as-a-Service (MaaS) platform initiative. The platform is being developed on Microsoft Azure to provide a standardized approach to the development, validation, deployment, and monitoring of financial models.
In this role, you will combine technical leadership, backend engineering, and team management. You will guide a team of 5+ engineers and take ownership of the design and implementation of scalable backend services used to deploy and interact with different types of financial models.
Responsibilities
- Drive the technical design and development of backend components for the MaaS platform within a secure Azure environment
- Design and develop RESTful APIs for deploying, managing, and querying financial models
- Develop scalable backend solutions using Python, FastAPI, and Pydantic
- Use Azure Databricks and MLflow-based approaches to support model deployment and serving
- Define technical standards for model packaging, deployment workflows, MLflow integration, and API interfaces
- Establish development practices that ensure high standards of code quality, testing, reliability, and maintainability
- Build and improve CI/CD pipelines with GitLab, supporting automated testing and deployments
- Provide technical direction, mentorship, and guidance to a team of 5+ engineers
- Work closely with architects, engineering teams, and business stakeholders to shape technical solutions and deliver platform capabilities
- Contribute to an Agile engineering culture and continuously improve development and delivery processes
Requirements
- 8+ years of experience in software or data engineering, with at least 2 years of experience in a technical leadership position
- Strong hands-on expertise in Python, including Python Core, asynchronous programming, multithreading, exception handling, and REST API development
- Solid experience with FastAPI and Pydantic
- Strong understanding of backend architecture, distributed systems, and API design
- Proven experience with Microsoft Azure, particularly Azure Databricks, Azure App Service, and IAM/RBAC
- Experience with MLflow or comparable tools and frameworks for model lifecycle management and deployment
- Good knowledge of GitLab, CI/CD pipelines, and DevOps practices
- Hands-on experience with Docker and Kubernetes
- Strong analytical and problem-solving skills, with the ability to make sound technical decisions
- Excellent communication, leadership, and stakeholder-management skills
- Experience working in Agile, cross-functional engineering teams
- English proficiency at B2 level or higher
Nice to have
- Background in financial modeling, machine learning platforms, or model-serving solutions
- Experience building Modeling-as-a-Service, Machine Learning-as-a-Service, or similar platforms
- Understanding of ML model deployment, monitoring, and lifecycle management
- Experience working with enterprise platforms operating under strict security, access-control, and compliance requirements