Python Full Stack Architect

Job Title: Python Full Stack Architect

Location: Remote

Duration: Fulltime

Job Description:

Nitor Infotech partnering with WellSky is seeking a highly skilled Python Full Stack Architect with extensive experience in backend development and technical leadership in cloudbased projects. As a Python Full Stack Architect you will play a pivotal role in architecting and engineering enterprisescale applications on cloud platforms primarily focusing on Google Cloud Platform (GCP) and occasionally leveraging Amazon Web Services (AWS). This is a remote position with a fulltime commitment.

Responsibilities:

1. Utilize your 12 years of experience in Python backend development to lead technical aspects of cloud web projects.
2. Architect and develop serverless solutions leveraging GCP services such as Cloud Run Pubsub and Google Cloud Storage (GCS).
3. Contribute to the development of Software as a Service (SaaS) applications on the GCP cloud ensuring scalability reliability and security.
4. Demonstrate proficiency in GraphQL to design and implement efficient APIs.
5. Serve as a web architect driving the design and implementation of scalable and resilient systems.
6. Architect serverless products using both AWS and GCP as per project requirements.
7. Implement Infrastructure as Code (IaC) using tools like Terraform and CloudFormation to automate deployment and management of cloud resources.
8. Provide handson experience in architecture designing and system implementation ensuring adherence to best practices and architectural patterns.
9. Leverage containerization technologies such as Docker and Kubernetes to orchestrate and deploy applications.
10. Utilize NoSQL databases like DynamoDB for data storage and retrieval ensuring optimal performance and scalability.

Requirements:

1. Bachelors degree in Computer Science Engineering or related field.
2. Extensive (12 years) experience in Python backend development.
3. Proven track record of technical leadership in cloudbased projects.
4. Handson experience with GCP Serverless technologies including Cloud Run Pubsub and GCS.
5. Experience developing SaaS applications on Google Cloud Platform.
6. Proficiency in GraphQL for designing and implementing APIs.
7. Strong background in architecting and engineering enterprisescale applications.
8. Experience with both AWS and GCP for architecting serverless solutions.
9. Familiarity with Infrastructure as Code tools such as Terraform and CloudFormation.
10. Demonstrated expertise in architecture designing and system implementation.
11. Proficiency in containerization technologies like Docker and Kubernetes.
12. Experience working with NoSQL databases preferably DynamoDB.