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AWS Infrastructure Architect with Expertise in SDLC Automation

2 months ago

Farmington, New Mexico, United States Pennycoder Full time
Job Overview

Pennycoder is seeking an AWS Platform Architect with a profound understanding of SDLC process automation to spearhead the architecture and deployment of a cutting-edge AWS Platform Infrastructure tailored for a significant client in the financial services industry.

As an AWS Platform Architect, your role will encompass the design, construction, and automation of a resilient and scalable AWS infrastructure that meets the rigorous standards of the financial sector. You will collaborate with various stakeholders, including software developers, DevOps specialists, and executive management, to ensure the platform effectively supports the complete Software Development Life Cycle (SDLC) while complying with industry regulations and best practices.

Key Responsibilities:

The following AWS services will be leveraged to facilitate the SDLC process automation:

  1. Planning and Requirement Gathering:
    • Amazon WorkDocs: For collaborative documentation and requirement sharing.
    • Amazon Chime: For team meetings and communication.
  2. Source Code Management:
    • AWS CodeCommit: A managed source control service for Git repositories.
    • AWS CodeArtifact: A managed artifact repository for dependencies and packages.
  3. Build and Test:
    • AWS CodeBuild: A managed build service for compiling code, running tests, and creating software packages.
    • AWS CodePipeline: Automates release pipelines for efficient application and infrastructure updates.
    • AWS CodeStar: Provides a unified interface for managing development tasks across AWS services.
  4. Deployment:
    • AWS CodeDeploy: Automates deployments to various instances, including Amazon EC2 and AWS Lambda.
    • AWS Elastic Beanstalk: A service for deploying and scaling web applications.
    • AWS CloudFormation: Automates environment setup using infrastructure as code.
    • AWS OpsWorks: A configuration management service offering managed instances of Chef and Puppet.
  5. Monitoring and Logging:
    • Amazon CloudWatch: Monitors and logs AWS resources and applications.
    • AWS X-Ray: Assists in analyzing and debugging distributed applications.
    • AWS CloudTrail: Tracks user activity and API usage across AWS infrastructure.
  6. Security and Compliance:
    • AWS Identity and Access Management (IAM): Manages secure access to AWS services.
    • AWS Key Management Service (KMS): Manages cryptographic keys for applications.
    • AWS Secrets Manager: Safeguards access to applications and services.
  7. Containerization and Orchestration:
    • Amazon Elastic Kubernetes Service (EKS): Runs Kubernetes on AWS without the need for a self-managed control plane.
    • Amazon Elastic Container Service (ECS): A fully managed container orchestration service.
    • AWS Fargate: A serverless compute engine for containers.
  8. CI/CD Automation:
    • AWS CodePipeline: Automates the build, test, and deployment phases of the release process.
    • AWS CodeDeploy: Automates deployments to instances and services.
  9. Infrastructure as Code (IaC):
    • AWS CloudFormation: Defines and provisions infrastructure resources with templates.
    • AWS CDK (Cloud Development Kit): Models infrastructure using familiar programming languages.
  10. Configuration Management:
    • AWS Systems Manager: Provides insights and automation for managing AWS and on-premises resources.

These AWS services collectively enhance the automation of various SDLC phases, enabling continuous integration, continuous delivery (CI/CD), and effective monitoring and maintenance of applications within the AWS ecosystem.