Job description

This is a remote position.

Job Title: Python Developer

Experience: 8+ Years

Work Mode: Remote

Notice Period: Immediate joiner - 15 days

Primanry Skills: Python Angular, flask, jenkins , GCP, Bigquery,Sql, PostgreeSQL

Education Qualification: Any Graduation

Key Responsibilities:

Development & Architecture:

Design, develop, and deploy scalable and high-performance applications using Python, Flask, and Angular.
Contribute to system architecture discussions and design decisions.

Cloud Solutions (GCP & BigQuery):

Build and manage cloud-native applications on Google Cloud Platform (GCP).
Work with BigQuery to implement data-driven solutions and optimize data storage and retrieval.

Database Management:

Utilize SQL and PostgreSQL to manage and optimize databases, ensuring data integrity, performance, and security.

Automation & CI/CD:

Develop and maintain Jenkins pipelines for continuous integration and continuous deployment (CI/CD) to automate application deployment and testing.

Collaboration & Best Practices:

Collaborate with cross-functional teams (front-end, DevOps, QA) to deliver complete solutions.
Ensure coding best practices, code reviews, and agile methodologies are adhered to.

Troubleshooting & Optimization:

Identify performance bottlenecks and optimize applications for maximum efficiency.
Troubleshoot complex production issues and provide timely resolutions.

Required Skills:

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
8+ years of professional experience in Python development, with significant exposure to web frameworks like Flask and front-end technologies like Angular.
Strong understanding of cloud infrastructure (GCP, BigQuery).
Extensive experience in SQL and PostgreSQL.
Hands-on experience with Jenkins and other CI/CD tools.
Strong debugging, troubleshooting, and problem-solving skills.
Excellent communication skills and ability to work in a collaborative, agile team environment.
Experience with other cloud platforms (AWS, Azure) is a plus.
Familiarity with Docker, Kubernetes, or containerization technologies.
Understanding of microservices architecture.
Knowledge of data analytics and machine learning concepts.