Description

Key Skills: Python, Flask APIs, MongoDB, Docker, Kubernetes, OpenShift, Jenkins, Git, Kafka, PostgreSQL

Good to Have Skills: Experience with AI models and machine learning. Working knowledge of AWS cloud services. Familiarity with Airflow-based data pipelines. SonarQube experience for CI/CD pipeline setup.

Roles & Responsibilities:

• Implement scalable, efficient, and maintainable solutions using Python and relevant AI/ML frameworks
• Design, develop, and maintain Python/Flask or FAST-based APIs for application development
• Work with MongoDB and PostgreSQL for database design and optimization tasks
• Build and deploy applications using Docker, Kubernetes, and OpenShift containerization technologies
• Set up and maintain CI/CD pipelines using Jenkins, SonarQube, and Git version control
• Collaborate on the development of Airflow-based data pipelines for data processing workflows
• Perform root cause analysis on data and processes to identify opportunities for improvement
• Work with unstructured datasets and implement scalable solutions for data processing and analysis
• Implement message queuing, stream processing, and scalable big data solutions for enterprise applications

Experience Required: 7-10 years of overall experience in software development. Minimum 3 years of hands-on experience with Python, Flask APIs, and MongoDB. Minimum 2 years of experience with Docker, Kubernetes, and OpenShift. Minimum 2 years of experience in CI/CD pipeline setup with Jenkins, SonarQube, and Git. Minimum 2 years of experience with Kafka or other message queuing systems. 2-4 years of relevant experience in the Financial Service industry preferred.

Education: Bachelor's degree/University degree or equivalent experience

Key Skills

Education

Any Graduate