Python Technical Lead: MaaS Platform Architect

EPAM Systems; Turkey; Presencial; TRY 5 897 000 - 8 845 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Extra leave days

Referral bonuses

Private health insurance

Well-being events

IT Equipment

Learning & development

Resumo da oferta

EPAM Systems, Inc. in Turkey seeks a Python Technical Lead to shape 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 include leading architecture, designing and deploying backend capabilities, implementing APIs, leveraging Azure Databricks and MLflow, and driving CI/CD with GitLab.

Qualificações

• 7+ years of professional software or data engineering experience.
• Proven leadership of engineering teams.
• Experience with Azure-based backend platforms.
• Strong problem-solving and system design skills.
• Excellent communication with stakeholders.

Responsabilidades

• Lead architecture, design, development, and deployment of backend platform capabilities.
• Design and implement REST APIs to deploy and query models.
• Build backend services using Python with FastAPI and Pydantic.
• Leverage Azure Databricks and MLflow for hosting and lifecycle management.
• Drive CI/CD automation using GitLab and embed DevOps practices.

Conhecimentos

Python

Async programming

REST API development

Distributed systems design

Docker

Kubernetes

GitLab / CI/CD

Azure experience

Communication skills

Leadership

Ferramentas

Docker

Kubernetes

GitLab

Azure Databricks

MLflow

IAM/RBAC

FastAPI

Descrição da oferta de emprego

EPAM Systems, Inc. in Turkey seeks a Python Technical Lead to shape 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 include leading architecture, designing and deploying backend capabilities, implementing APIs, leveraging Azure Databricks and MLflow, and driving CI/CD with GitLab.