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ES

Python Technical Lead

EPAM Systems
  • πŸ‡¨πŸ‡Ώ Czechia | πŸ‡ΈπŸ‡° Slovakia
  • Remote
  • Staff / Principal
  • 4 days ago
  • Python
  • Azure Databricks
  • Azure
  • MLflow
  • CI/CD
  • GitLab
  • REST API
  • Pydantic
  • Azure Cloud
  • IAM
  • RBAC
  • Devops
  • Docker
  • Kubernetes
  • Agile
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We are looking for a highly skilledPython Technical Leadto join our dynamic team, guiding the design and development of distributed backend solutions while leading a team of 5+ data engineers to deliver API backends for deploying and querying various models on Azure Databricks.

Responsibilities

  • Lead design, development, and deployment of backend platform capabilities in a restricted Azure Greenfield environment that will host the models
  • Design an API that enables users to query the models
  • Leverage Azure Databricks for hosting and deploying models
  • Establish processes and guidelines for model deployment, including how to wrap the model in an MLflow wrapper and define the API structure
  • Implement best practices for CI/CD using GitLab, ensuring code quality, testing, and deployment automation
  • Lead, mentor, and manage a team of 5+ engineers, fostering a collaborative and high-performance environment

Requirements

  • 8+ years of experience in data engineering, including at least 2+ years in a leadership role
  • Expertise in Python and essential data engineering libraries, including Python Core, Multithreading, Async, REST API, Exceptions, and Pydantic
  • Background in Azure cloud services, including Azure Databricks, Azure App Service, and IAM/RBAC
  • Proficiency in CI/CD workflows, version control (GitLab), and DevOps practices
  • Familiarity with containerization and orchestration tools, including Docker and Kubernetes
  • Skills in problem-solving and capability to thrive in a fast-paced, agile environment
  • Excellent communication, leadership, and stakeholder management abilities
  • English proficiency at an Upper-Intermediate level (B2) or higher

Python Technical Lead Β· EPAM Systems

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