Python Full Stack Architect
Location
Maryland | United States
Job description
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:
- Utilize your 12 years of experience in Python backend development to lead technical aspects of cloud web projects.
- Architect and develop serverless solutions leveraging GCP services such as Cloud Run Pubsub and Google Cloud Storage (GCS).
- Contribute to the development of Software as a Service (SaaS) applications on the GCP cloud ensuring scalability reliability and security.
- Demonstrate proficiency in GraphQL to design and implement efficient APIs.
- Serve as a web architect driving the design and implementation of scalable and resilient systems.
- Architect serverless products using both AWS and GCP as per project requirements.
- Implement Infrastructure as Code (IaC) using tools like Terraform and CloudFormation to automate deployment and management of cloud resources.
- Provide handson experience in architecture designing and system implementation ensuring adherence to best practices and architectural patterns.
- Leverage containerization technologies such as Docker and Kubernetes to orchestrate and deploy applications.
- Utilize NoSQL databases like DynamoDB for data storage and retrieval ensuring optimal performance and scalability.
Requirements:
- Bachelors degree in Computer Science Engineering or related field.
- Extensive (12 years) experience in Python backend development.
- Proven track record of technical leadership in cloudbased projects.
- Handson experience with GCP Serverless technologies including Cloud Run Pubsub and GCS.
- Experience developing SaaS applications on Google Cloud Platform.
- Proficiency in GraphQL for designing and implementing APIs.
- Strong background in architecting and engineering enterprisescale applications.
- Experience with both AWS and GCP for architecting serverless solutions.
- Familiarity with Infrastructure as Code tools such as Terraform and CloudFormation.
- Demonstrated expertise in architecture designing and system implementation.
- Proficiency in containerization technologies like Docker and Kubernetes.
- Experience working with NoSQL databases preferably DynamoDB.
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