Digital Engineering Senior Engineer

Must have Working knowledge on Sage maker, secret manager, step functions, WAF, workspace, pinpoint, Lambda, Kinesis Analytics, Fire house, Macie, Quick sight, Glue, Guard Duty, Elastic Bean Stalk, ECR, ECS, Code pipeline, Code build, Code Deploy, Cognito, CloudFormation. Tech or equivalent or MCA Expertise in AWS cloud EC2, creating, Managing, Patching, trouble shooting. Must have Working knowledge on Sage maker, secret manager, step functions, WAF, workspace, pinpoint, Lambda, Kinesis Analytics, Fire house, Macie, Quick sight, Glue, Guard Duty, Elastic Bean Stalk, ECR, ECS, Code pipeline, Code build, Code Deploy, Cognito, CloudFormation. Monitoring Tools - CloudWatch (New Relic/other monitoring), logging AWS Storage - EBS, EFS, S3, Glacier, Adding the disk, extending the disk. AWS backup and restoration Strong understanding of networking concepts to create VPC, Subnets, ACL, Security Groups, and security best practices in cloud environments. Strong knowledge of PaaS to IaaS migration strategies Scripting experience (must be fluent in a scripting language such as Python) Detail-oriented self-starter capable of working independently. Experience with container orchestration utilizing ECS, EKS, Kubernetes, or Docker Swarm Experience with one or more of the following Configuration Management Tools: Ansible, Chef, Salt, Puppet infrastructure, networking, AWS databases. Familiarity with containerization and orchestration tools, such as Docker and Kubernetes. Cloud IAM , Resource Manager , Multi-factor Authentication , Cloud KMS Cloud Billing , Cloud Console , Stackdriver Cloud SQL, Cloud Spanner SQL, Cloud Bigtable Cloud Run Container services, Kubernetes Engine (GKE) , Anthos Service Mesh , Cloud Functions , PowerShell on GCP Ideal Mindset: Lifelong Learner. You are always seeking to improve your technical and nontechnical skills.