Backend Engineer – MLOps Platform (AWS)

Experience

• 5+ years of professional experience in backend web development using Python
• Hands-on experience building and operating production-grade backend systems
• Experience working in cloud-based environments, preferably AWS
  

• Strong proficiency in Python for backend development
• Experience with Python web frameworks such as Flask, Django, or FastAPI
• Experience with WSGI/ASGI web servers (Gunicorn, Uvicorn, etc.)
• Solid understanding of asynchronous and concurrent programming (AsyncIO)
• Experience with unit and functional testing frameworks
• Experience with at least one public cloud platform (AWS preferred)
• Hands-on experience with CI/CD tools and practices
• Ability to collaborate with distributed, cross-functional teams
• Experience supporting production systems and participating in on-call rotations
  

• Experience with Apache Kafka and Kafka client development in Python
• Experience with MLOps platforms (AWS SageMaker, Kubeflow, MLflow)
• Experience with big data processing frameworks, especially Apache Spark
• Experience with container orchestration platforms (AWS ECS, AWS EKS)
• Experience with DevOps and Infrastructure-as-Code tools (Terraform, Jenkins)
• Knowledge of Python packaging and distribution tools (Wheel, PEX, Conda)
  

Skills: