Cloud Services Programmer - CSP24-13873

Duration: 3+ months (Possibility for extension)

Background:

The Cloud Services Programmer will support a project involving the development of a collection and processing pipeline, as well as database development. This role includes the initial deployment of enterprise cloud-based systems.

Requirements:

The ideal candidate must have the following knowledge and skills:

• AWS Cloud Application Development: Hands-on experience with AWS cloud development is required.
• Agile Development: Experience working in Agile environments.
• Backend and Frontend Development: Proficiency in Python for backend services and Angular or React for frontend development.
• Cloud and DevOps Expertise: Advanced knowledge of cloud technology platforms, tools, DevOps practices, and database management.
• Leadership in Cloud Domains: Ability to lead one or more areas such as database management, programming, cloud security/recovery, and cloud integration.
• Python and IaC: Experience writing Python code along with Infrastructure as Code (IaC) deployment using AWS CDK or Terraform. Knowledge of AWS Step-Functions for business process modeling.
• Container-Based Applications: Experience developing containerized applications with REST APIs using Angular or React in Typescript.
• AWS Monitoring Tools: Familiarity with AWS CloudWatch and AWS CloudTrail for logging and monitoring in regulated environments.
• Problem-Solving: Responsible for troubleshooting, remediation, and unit testing during application development and deployment.

Deliverables:

The contractor will be responsible for delivering the following:

• AWS Development: Hands-on experience developing with AWS is required.
• GovCloud Development: Experience with GovCloud is helpful.
• Python Code Development: Python application design, including code structure, packaging, and deployment.
• Airflow Workflow Design: Python code development and workflow design using Airflow.
• Unit Testing and Mocking: Ability to write unit tests and apply mocking techniques.
• Docker Knowledge: Functional understanding of Docker.
• AWS Lambda Development: Experience with writing AWS Lambda functions, managing layers, and deployment methods (e.g., zip, Docker).
• Glue Jobs Development: Designing Glue jobs using Python Shell and PySpark.
• Event Handling: Experience with SNS/SQL, event-triggering (e.g., EventBridge), and AWS Step Functions.
• AWS Logging: Understanding logging mechanisms in AWS.
• Database Development: Experience with Postgres and Redshift for database development and data migration.
• Data Lakes: Experience building and accessing Data Lakes using Glue, Athena, Redshift, and building data access APIs.
• Security Implementation: Implement granular access security for databases and data lakes, with integration of Okta/Cognito for access control.