WalkWater Technologies
Overview
Main skills:
5 years Experience delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams, experience in technical server and Enterprise storage management, Experience with all 3 leading cloud providers (AWS, Azure, GCP), DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack), Serverless technologies (k8s, GKE, EKS, Lambda, RDS), VM technologies (EC2, Dedicated Instances, Compute Engine), Scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash), AWS Linux, Ubuntu Linux, and SLES Linux Required Skills
AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent) Proficient usage and management of Kubernetes technology stacks (K8s, EKS, GKE, Helm, Prometheus, Cortex, Grafana, Istio, and more) Solid grasp and usage of version control and release management concepts and tools, particularly Git (Github / SVN/Bitbucket) for code branching and merging Accomplished with DevOps Implement, manage, and use DevOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex) Follow deployment practices using CICD Processes and Technologies (Jenkins, TeamCity, Tekton, Spinnaker, Octopus, CodeDeploy, Automate) Clear understanding that implementation of security principles and tools is not optional Proficient usage and management of Linux and Windows technology stacks (Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, .NET, and more) Proficiency with serverless technologies (K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway, CloudFront, Lambda at Edge) Solid understanding of key cloud design concepts such as High Availability (HA), Elastic Load Balancing (ELB), Principle of Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling Detailed knowledge and demonstrated experience with key AWS specific technologies including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda Detailed knowledge and demonstrated experience with key GCP specific technologies including Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions Knowledge of VPC, Cloud Networking, Hybrid Cloud, and IAM constructs in AWS, Azure, and GCP Experience
5 years Experience delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams Extensive experience in technical server and Enterprise storage management Experience with all 3 leading cloud providers (AWS, Azure, GCP) DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack) Serverless technologies (k8s, GKE, EKS, Lambda, RDS) VM technologies (EC2, Dedicated Instances, Compute Engine) AWS Linux, Ubuntu Linux, and SLES Linux Education
BA or BS degree in an IT related field or an equivalent combination of formal education and applicable experience required MCSE, AWS, GCP and UNIX certifications strongly preferred Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr
Main skills:
5 years Experience delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams, experience in technical server and Enterprise storage management, Experience with all 3 leading cloud providers (AWS, Azure, GCP), DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack), Serverless technologies (k8s, GKE, EKS, Lambda, RDS), VM technologies (EC2, Dedicated Instances, Compute Engine), Scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash), AWS Linux, Ubuntu Linux, and SLES Linux Required Skills
AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent) Proficient usage and management of Kubernetes technology stacks (K8s, EKS, GKE, Helm, Prometheus, Cortex, Grafana, Istio, and more) Solid grasp and usage of version control and release management concepts and tools, particularly Git (Github / SVN/Bitbucket) for code branching and merging Accomplished with DevOps Implement, manage, and use DevOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex) Follow deployment practices using CICD Processes and Technologies (Jenkins, TeamCity, Tekton, Spinnaker, Octopus, CodeDeploy, Automate) Clear understanding that implementation of security principles and tools is not optional Proficient usage and management of Linux and Windows technology stacks (Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, .NET, and more) Proficiency with serverless technologies (K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway, CloudFront, Lambda at Edge) Solid understanding of key cloud design concepts such as High Availability (HA), Elastic Load Balancing (ELB), Principle of Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling Detailed knowledge and demonstrated experience with key AWS specific technologies including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda Detailed knowledge and demonstrated experience with key GCP specific technologies including Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions Knowledge of VPC, Cloud Networking, Hybrid Cloud, and IAM constructs in AWS, Azure, and GCP Experience
5 years Experience delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams Extensive experience in technical server and Enterprise storage management Experience with all 3 leading cloud providers (AWS, Azure, GCP) DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack) Serverless technologies (k8s, GKE, EKS, Lambda, RDS) VM technologies (EC2, Dedicated Instances, Compute Engine) AWS Linux, Ubuntu Linux, and SLES Linux Education
BA or BS degree in an IT related field or an equivalent combination of formal education and applicable experience required MCSE, AWS, GCP and UNIX certifications strongly preferred Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting
#J-18808-Ljbffr