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Senior Python GenAI Engineer

Open 52d posting dated 3 weeks ago
This position is no longer accepting applications(closed Aug 9, 2026).

We are looking for a highly skilled Senior Python Engineer to join a fast-paced, innovative team working on modern data platforms and AI-driven solutions. You will play a key role in designing scalable data pipelines, building cloud-native applications, and leveraging GenAI tools to accelerate development.

Responsibilities

  • Design and develop scalable web services and background jobs using FastAPI
  • Build and optimize data processing and reporting solutions
  • Develop and maintain robust data pipelines and architectures
  • Work with modern cloud platforms (primarily Azure) to deploy and manage applications
  • Implement CI/CD pipelines and automation processes
  • Apply Infrastructure as Code (IaC) practices for scalable environments
  • Leverage AI-assisted development tools (e.g., Copilot) for spec-driven development

Requirements

  • Strong Python experience (5+ years in production)
  • Hands-on experience with web frameworks (FastAPI preferred)
  • Experience with data processing tools: Pandas, Polars, openpyxl, DuckDB
  • Solid understanding of data pipeline design (data lakes, medallion architecture, star schema)
  • Experience with CI/CD tools (e.g., GitHub Actions)
  • Experience with Azure services (Container Apps, Storage, Service Bus, SignalR)
  • Experience with IaC tools (Bicep, Terraform, or AWS CDK)
  • Familiarity with AI-assisted development tools (e.g., GitHub Copilot)

Nice to have

  • Experience with Airflow, dbt, Streamlit
  • Distributed systems and async workflows
  • Enterprise messaging patterns
  • Experience with Snowflake (stored procedures, streams, tasks, pipes, time travel)
  • .NET Core experience (legacy systems support)
  • Frontend experience (Angular or Next.js)

Benefits

CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT

  • Diversity of assignments and projects
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ 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

WORKING ENVIRONMENT

  • Recreation office zones with tea, coffee and snacks
  • Sports and game consoles
  • IT equipment and Microsoft's Software Assurance Home Use Program (HUP)

See also