Python Technical Lead

EPAM Systems; Turkey; Presencial; TRY 5.926.000 - 8.889.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Learning & development programs

English language courses

Descripción de la vacante

EPAM Systems is seeking a Python Technical Lead in Turkey to shape a Modeling-as-a-Service platform for financial models. You will lead distributed backend services in a restricted Azure environment and guide a team through architecture, API design, and deployment patterns.

You will drive CI/CD with GitLab, Implement FastAPI and Pydantic-based services, and use Azure Databricks for model hosting and lifecycle management. Strong communication and Agile delivery are essential.

Formación

• 7+ years of professional software or data engineering experience.
• 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.

Responsabilidades

• 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.

Conocimientos

Python

Async programming

Multithreading

REST API development

System design

Herramientas

FastAPI

Pydantic

Azure Databricks

Azure App Service

Docker

Kubernetes

GitLab

Descripción del empleo

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

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.