Python Application Developer-GCP
Job Summary :
We 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 bestpractices.
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 coreservices.
A minimum of 4.5 to 6 years of relevant work experience in softwaredevelopment.
Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.Bachelor's degree in Computer Science or a related field (or equivalentpractical 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