Description

Build data pipelines and microservices using Python and modern cloud infrastructure.

Responsibilities

• Develop data pipelines and applications using advanced Python and core data structures.
• Build and deploy microservices and REST APIs using FastAPI, Flask, or Tornado.
• Manage application deployment through CI/CD pipelines using Jenkins, Docker, and Kubernetes.
• Maintain code quality using Pylint and implement comprehensive testing suites.
• Monitor and log application performance using Splunk, Kibana, and Elastic Search.

Required Skills

• 5+ years of experience in Python development (Core and Advanced).
• Proficiency with Pandas, Numpy, and sklearn for data processing.
• Experience with databases including Postgres, Clickhouse, and MongoDB.
• Hands-on work with Docker, Kubernetes, and Openshift Container Platform.
• Implementation of caching and queuing using Redis, RabbitMQ, and Diskcache.
• Deployment experience using Jenkins and Jfrog.
• Strong understanding of Linux and Windows operating systems.
• Familiarity with REST API development and cloud platforms.

Preferred Skills

• Generative AI experience using Langchain and ChatGPT.
• MLOps expertise with Databricks, MLFlow, Kubeflow, or ClearML.
• Testing proficiency with Pytest, Python Behave, and integration testing.

Key Skills

Education

Any Graduate