AWS DevOps Engineer

DevOps Engineer

DevOps (Jenkins, Bitbucket, CloudFormation, Terraform, GitLab), Python, Java, Strong working experience in AWS.

AWS Services: Must be well-versed in all standard AWS services from DevOps perspective.

• MUST UNDERSTAND: AWS DevOps from Infrastructure and Application perspective.
• Standard suite of AWS services (EC2, Lambda, CloudWatch, SQS, SNS, DMS, etc.)
• PLUS:
• ECS Fargate (containerization tool)
• Deploy HELM charts, change clusters in AWS, build / deploy containers, check artifactory repository and deploy to Fargate. Code versioning.  
• SQS / SNS
• Build / automate notification trigger process and message queuing. Create this process in Terraform and deploy as part of build processs.
• Python or NodeJS / Lambda / Unix
• Invoke Lambda functions using Python code
• Basic Python or Java coding to invoke API’s that put objects in S3 buckets automatically
• Unix command line experience
• WELL – ROUNDED AWS experience creating the build / deploy process that automates the creation of AWS Services for AppDev teams.

Terraform (IaC)

• Build, Manage, Modify, and Deploy existing or new Terraform templates and modules to automate the deployment.
• Fannie has an Enterprise base Terraform template. This person must drastically modify these templates – almost as if they were writing new.
• Experienced with YAML for templates changes / configurations
• Understanding how to resolve parallel state file issues in Terraform
• Know how to create and delete stacks on AWS
• Set up the CI/CD pipelines to interact with Terraform for build process – pushing out API calls.

GitLab CI/CD Pipelines  

• Build GitLab pipelines from scratch – some Enterprise templates exist. These need to be drastically modified and configurations / integrations must be setup with Terraform.
• Build, setup, deploy and manage CI/CD pipelines. Make changes to code for pipelines.
• Use CI/CD pipeline tool to create build processes for container-based deployments in AWS.
• This team creates their own containers AND uses the containers that another team implemented.
• Docker: Deploy / Maintain / Change clusters that have already been deployed to AWS.
• Deploy Helm chart
• Docker orchestration / containerization using ECS (Elastic Container Service – AWS)