Tailored Management
DevOps Engineer - Remote
Nashville, TN
Tailored Management is a global staffing firm that specializes in partnering with large organizations to provide contingent labor solutions in a VMS/MSP environment.
Job Description
DevOps Engineer
Posted: Friday, 8/29/2025
TOP 5 SKILLS:
Teamwork approach, with professional attitude, and mature people skills.
AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent)
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)
Job Functions:
The responsibilities of this position include, but are not limited to:
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
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
Skills/Abilities:
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)
Scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash)
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
Teamwork approach, with professional attitude, and mature people skills.
AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent)
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)
Job Functions:
The responsibilities of this position include, but are not limited to:
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
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
Skills/Abilities:
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)
Scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash)
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
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