The Associate Program is a fast paced, ultra-high intensity program that will take an inexperienced engineer and prepare them for working on AWS projects with the largest, most demanding, customers in the financial services industry.
The program is designed to enable high-potential individuals with hands-on experience to amplify their skills in an inspiring and safe environment. They will gain exposure to practical tools, strategies, and best practices for becoming a high-performing leader. Working interactively with other participants and organizations, they will develop key skills in the areas of innovation, communication, and adaptability-some of the most sought-after skills in business today. Hybrid work environment
Responsibilities - Read, comprehend, and present on AWS best practices and strategies
- 3+ years' work experience design and implement proof-of-concept (POC) cloud solutions as part of the program.
- Build and deploy infrastructure and automate operations
- Design and automate security and compliance solutions
- Design AWS Data Lake implementations
- Design and Develop AWS Data Quality and Governance solutions
- Develop high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud
- Support solution development by conveying customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
- Assist with technical briefs that document solutions
- Assist with reference architecture implementations
- Support internal and external brand development through thought leadership:
- Work with Marketing/Alliances to write blog posts
Sample Activities You'll Do Creating a Self-Service Account Framework - Development of POC code for automating the implementation of AWS account setup and configuration
- Account Framework - Developing an automated Continuous Delivery Pipeline framework that will be used to establish AWS Accounts to configured, tested infrastructure on AWS in a repeatable, reliable and secure manner eliminating the need for manual intervention.
- Security Control Policies - Development of the Service Control Policies and account baselines associated with the Customer's security and compliance requirements
Creating a Self-Service Environment Framework - Development of POC code to automate the implementation of application infrastructure code:
- Infrastructure-as-Code - Development of Infrastructure-as-Code specific to each application that can be used to automate the delivery of configured AWS resources specific to the requirements of the application being deployed.
- Configuration Management - The development of configuration management modules specific to each application used to automate the configuration of servers including software installation and configuration
- Service Catalog Pipeline - Development of a framework for orchestrating build, test, deployment, and validation of infrastructure automation code.
Creating a Self-Service Pipeline Framework - Development of POC code to automate the implementation of pipelines:
- Pipeline Skeletons - Development of Infrastructure-as-Code specific to pipelines that can be used to automate the delivery of configured AWS resources specific to the requirements of the application being deployed.
Creating a Self-Service Compliance Framework - Development of POC code to automate the implementation of controls:
- Policy Definition - Identification and documentation of Customer Policy in the form of specific statements that must be true about configuration of AWS resources
- Policy-as-Code Development - Development of the logical tests associated with each of the policies established to be used to assert the configuration state of infrastructure on AWS in order to block a build in the pipeline, take automated reactive action, or alert on violations to the policy
- Framework Development - A design allowing for the execution of logical tests against infrastructure code or running AWS infrastructure in order to assert the configuration state of infrastructure resources on AWS and block a build in the pipeline, take automated reactive action, or alert on violations to the policy
AWS Data Architecture and Data Lake Implementation- Development of POC code for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources.:
- Build Data Lake in AWS using AWS analytics in a multi-account environment.
- Modern big data lambda architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources.
Relevant Technical Tools - Primary Languages - Python, Bash
- Tooling, Services & Libraries - Jenkins, Docker
Relevant AWS Services - AWS Infrastructure Scripting - CloudFormation, AWS CLI, AWS CDK
- AWS Storage Services - S3
- AWS Compute Services - EC2, Lambda
- AWS Database Services - RDS, DynamoDB
- AWS Networking Services - VPC, Route53, API Gateway
- AWS Developer Services - CodePipeline, CodeBuild, CodeCommit, CodeDeploy, AWS Cloud9
- AWS Management and Governance Services - AWS Organizations, CloudWatch, Auto Scaling, Config, CloudTrail, Service Catalog, Systems Manager
- AWS Security, Identity, Compliance Services - IAM, Key Management Service,
