Job Title: Cloud DevOps Engineer with Strong Exp in GCP or AWS- No GC - 12+ Years Exp is Must

Work Location: Nashville, Onsite (5 days a week)

Note: Client looking for GCP and AWS inclined candidate and someone worked with multiple application. 

If the candidate have strong AWS experience that will also work. 

Open for relocation candidates, but they should be onsite from Day 1.

12+ years in cloud + DevOps/infrastructure

Hands-on across GCP and 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 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