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 UMG’s 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 SQL, .NET, 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)