Python Developer- GCP

Overview

Python Application Developer-GCP

Job SummaryWe are seeking a talented and passionate Python Developer to join our dynamic team. In this role, you will be instrumental in designing, developing, and deploying scalable and efficient applications on the Google Cloud Platform. You will have the opportunity to work on exciting projects and contribute to the growth and innovation of our products/services. You will also mentor other engineers and engage with clients to understand their needs and deliver effective solutions.

Responsibilities:Design, develop, and maintain robust and scalable applications using Python.Build and consume RESTful APIs using FastAPI.Deploy and manage applications on the Google Cloud Platform (GCP).Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers.Write clean, well-documented, and testable code.Participate in code reviews to ensure code quality and adherence to best practices.Troubleshoot and debug issues in development and production environments.Create clear and effective documents.Stay up-to-date with the latest industry trends and technologies.Assist the junior team members.

Required Skills and Experience:Proven experience as a Python Developer.Solid understanding and practical experience with the FastAPI framework.Hands-on experience with the Google Cloud Platform (GCP) and its core services.A minimum of 4 to 6 years of relevant work experience in software development.Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.Bachelor's degree in Computer Science or a related field (or equivalent practical experience). Ability to write unit test cases and execute them.Able to discuss and propose architectural changes.Security best practices.

Good to have:Experience with any front-end framework such as Angular, React, Vue.js, etc.Familiarity with DevOps principles and practices.Experience with infrastructure-as-code tools like Terraform.Knowledge of containerization technologies such as Docker and Kubernetes.Experience with CI/CD pipelines.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.