Description

Build and maintain scalable data pipelines, APIs, and containerized services using Python, Flask, and cloud-native tools.

This role is on-site.

Responsibilities

• Design and develop Python/Flask APIs for application development.
• Implement scalable data processing solutions using Kafka for message queuing and stream processing.
• Build and deploy applications using Docker, Kubernetes, and OpenShift.
• Set up and maintain CI/CD pipelines using Jenkins, SonarQube, and Git.
• Optimize database designs and queries using MongoDB and PostgreSQL.

Required Skills

• 7+ years of software development experience, including 3+ years with Python and Flask.
• Strong experience with MongoDB and PostgreSQL database design and optimization.
• 2+ years of hands-on experience with Docker, Kubernetes, and OpenShift.
• 2+ years of experience setting up CI/CD pipelines with Jenkins, SonarQube, and Git.
• 2+ years of experience with Kafka or similar message queuing systems.
• Bachelor’s degree or equivalent professional experience.

Preferred Skills

• Experience with AI/ML frameworks and unstructured data processing.
• Familiarity with AWS cloud services and Airflow-based data pipelines.

Key Skills

Education

Any Graduate