Position: DevOps engineer
Category: DevOps
English level: upper
Years of experience: 11

Achievements from the last project:
Developed Automated Release Orchestration Flow for ~40 subprojects. The whole release process is automated now.
Setup automated Blue/Green Deployment for UI part.
Launched 2 successor projects and integrated them with the parent one. 
Decreased the amount of support activity for DevOps Team (50%). Developed the documentation and guides for dev teams).
Developed the documentation policy and onboarding plan. New team members are brought up to speed within 3 weeks. 
Set the global strategy and precise goals for the DevOps team.
Replaces basic authorization with a complex Cognito authentication.
Resolved all critical security issues to pass security audits and setup automated security monitoring.
DevOps Team Lead with ten years of professional expertise in developing automation solutions, managing cloud infrastructure (AWS and GCP) and configuration management tools.
Certified AWS DevOps Engineer and Google Cloud Architect.
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Current project and tasks:
  ML tire analysis for B2B service of one of the top 10 world automotive suppliers.

 Stack: Terraform, Python Lambda, Sagemaker, EventBridge, API Gateway, Step Functions, Route 53, CodeBuild, CodePipeline, CloudWatch, X-Ray.

 I am preparing and testing different architectural solutions + managing a team of 2 devops engineers. 

So a player-coach role is preferable, but I also feel comfortable /w a Senior Engineer role.
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Previous projects:

  SRE team for Intelligent Supply Chain Portal for 450 top brands worldwide. The company is on the Fortune 500 List with a market cap of $14.40 Billion.
  Stack: AWS CloudFormation, Serverless Framework, SAM, CodePipeline, Lambda, Step Functions, S3, CloudFront, IAM, CodeCommit, Route 53, ECS Fargate, Prowler, Security Hub, CloudFormations Hooks, Cognito, Okta.
 

  Pre-production and testing infrastructure department of the largest department store in the US — the company's market cap of $4.45 Billion.
Stack: GCP, Jenkins 2 pipelines /w custom library, JJB, Python, Cassandra, MongoDB, GitLab, Artifactory, GIT, Chef, k8s.

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I am AWS adept: CloudFormation is in my lungs. I have experience /w most AWS services and would like to continue my journey in this direction.
I am not a cloud-agnostic or k8s adept :)
I worked /w GCP and Azure, but AWS stack /w the native services and tools will be preferable. 

Open-source tools like Terraform are welcome!