Senior Cloud DevOps Engineer | On-site | W2 Only |

Job Functions:

The responsibilities of this position include but are not limited to the following functions in the Architecture & Engineering organization:
Utilize technical skills and tools to coordinate maintain enhance and deploy cloud-based solutions while following corporate standards and best practices
Work within a DevOps team to meet project objectives in a timely fashion
Update project status reports (progress/risks/issues/roadblocks) as required by Senior Management
Use DevOps methodology and toolsets to implement and support solutions in AWS Azure and GCP
Implement proposed solutions to ensure the delivery of a quality product or service
Ensure cloud resources meet UMGs operational requirements and are in compliance with UMG infrastructure and security standards
Provide documentation and communication to peers and other IT Teams for status coordination objectives and performance
Oversee vendors work efforts on implementations
Compile and remediate vulnerabilities identified by the securities team
Assess and troubleshoot consult with vendors and coordinate with other teams for problem resolution
Ensure high work standards regarding incident and change management tasks
Other tasks as deemed necessary or appropriate


Job Requirements:
Skills/Abilities:
Proven experience with Amazon 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
Understanding of Modern Auth (OIDC SSO SAML Federation)
Proficient usage and management of Linux and Windows technology stacks (Ubuntu Windows Server Nginx Apache MySQL PHP IIS MS and more)
Build and support solutions using both serverless and server-based infrastructure in AWS Azure and GCP cloud environments
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
Depth of knowledge of VPC Cloud Networking Hybrid Cloud and IAM constructs in AWS Azure and GCP
Experience:
5 years minimum Experience in delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams.
Extensive experience in technical server and Enterprise storage management
Practical (hands-on) Experience with all 3 leading cloud providers (AWS Azure GCP)
Practical (hands-on) Experience with UMG primary DevOps toolsets (Chef Terraform Enterprise Jira Confluence Git Vault Slack)
Practical (hands-on) Experience with UMG primary serverless technologies (k8s GKE EKS Lambda RDS)
Practical (hands-on) experience with UMG primary VM technologies (EC2 Dedicated Instances Compute Engine)
Practical (hands-on) experience using scripting languages (Python PowerShell Golang AWS CLI GCP CLI Bash)
Practical (hands-on) experience using AWS Linux Ubuntu Linux and SLES Linux
Practical (hands-on) experience using Windows
Practical (hands-on) experience using Kubernetes (K8s) and related toolsets (K8s EKS GKE Grafana Prometheus Cortex)
Other tools: Dynatrace Azure AD Intune SEP Redlock Prisma Cloud SAP GoAnywhere)