Sr. DevOps Engineer | On-site | W2 Only (No OPT's Please) |

8 years (realistically 712 years preferred) in cloud DevOps/infrastructure

Hands-on across GCP AWS (not just one cloud)

Strong Kubernetes container platform engineer

Experienced in enterprise DevOps pipelines CI/CD automation

Comfortable with production-grade systems (HA scaling security monitoring)

Able to work in DevOps SRE Cloud Platform Engineering hybrid role

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 aDevOps team to meet project objectives in a timely fashion
• Update project status reports (progress/risks/issues/roadblocks) as required by Senior Management
• UseDevOps 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 Azurein 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 Istioand more)
• Solid grasp and usage of version control and release management conceptsand tools particularly Git(Github / SVN/Bitbucket) for code branching and merging
• Accomplished withDevOps Implement manage and useDevOps 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 toolsis 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 infrastructurein 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 conceptssuch 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 primaryDevOps 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)