Information Technology_USA - USA_Analyst
Cloud Engineer
**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Dallas,TX / Hybrid
Duration: 6 months
skill id: 10911486
We are seeking a highly skilled DevOps Engineer with strong expertise in GitLab CI/CD, Infrastructure as Code (Terraform), Kubernetes, and Microservices deployment. The ideal candidate will be responsible for designing, automating, and managing end-to-end deployment pipelines, infrastructure provisioning, and containerized application deployments across enterprise environments. Experience with AWS Cloud is preferred.
Key Responsibilities
CI/CD Automation (Primary)
• Design, implement, and maintain GitLab CI/CD pipelines for application and infrastructure deployments.
• Automate build, test, release, and deployment processes using Shell Scripting, YAML, and GitLab CI/CD.
• Develop reusable pipeline templates and deployment frameworks.
• Troubleshoot and optimize CI/CD workflows to improve deployment efficiency and reliability.
• Implement DevSecOps best practices, including automated quality checks and security scans.
Infrastructure as Code (Primary)
• Provision and manage cloud and on-premise infrastructure using Terraform.
• Create and maintain Infrastructure as Code (IaC) modules and reusable templates.
• Ensure infrastructure consistency, scalability, and compliance through automation.
API & Microservices Deployment (Primary)
• Deploy and manage RESTful APIs and Microservices across development, testing, and production environments.
• Collaborate with development teams to implement scalable deployment strategies.
• Monitor application performance and troubleshoot deployment issues.
• Support containerization initiatives using Docker and Kubernetes.
Kubernetes Administration & Deployment (Primary)
• Deploy, configure, and manage containerized workloads on Kubernetes clusters.
• Create and maintain Kubernetes manifests, Helm charts, and deployment configurations.
• Monitor cluster health, performance, and security.
• Implement automated deployment, scaling, and rollback strategies.
Cloud Platforms (Preferred)
• Work with AWS services such as EKS, EC2, S3, IAM, VPC, CloudWatch, and other cloud-native services.
• Provision and manage cloud infrastructure using Terraform.
• Assist in cloud migration and modernization initiatives.
Required Skills
Primary Skills
• GitLab CI/CD
• Shell Scripting (Bash)
• Terraform (Infrastructure as Code)
• YAML Scripting
• API Deployment & Management
• Microservices Architecture
• Kubernetes Administration and Deployment
• Docker Containers
• Linux System Administration
Skills: Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD) ~ Digital : Microservices ~ Java API Management & Microservices ~ Digital : Kubernetes ~ AWS DevOps and Automation
Experience Required: 4-6
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Dallas,TX / Hybrid
Duration: 6 months
skill id: 10911486
We are seeking a highly skilled DevOps Engineer with strong expertise in GitLab CI/CD, Infrastructure as Code (Terraform), Kubernetes, and Microservices deployment. The ideal candidate will be responsible for designing, automating, and managing end-to-end deployment pipelines, infrastructure provisioning, and containerized application deployments across enterprise environments. Experience with AWS Cloud is preferred.
Key Responsibilities
CI/CD Automation (Primary)
• Design, implement, and maintain GitLab CI/CD pipelines for application and infrastructure deployments.
• Automate build, test, release, and deployment processes using Shell Scripting, YAML, and GitLab CI/CD.
• Develop reusable pipeline templates and deployment frameworks.
• Troubleshoot and optimize CI/CD workflows to improve deployment efficiency and reliability.
• Implement DevSecOps best practices, including automated quality checks and security scans.
Infrastructure as Code (Primary)
• Provision and manage cloud and on-premise infrastructure using Terraform.
• Create and maintain Infrastructure as Code (IaC) modules and reusable templates.
• Ensure infrastructure consistency, scalability, and compliance through automation.
API & Microservices Deployment (Primary)
• Deploy and manage RESTful APIs and Microservices across development, testing, and production environments.
• Collaborate with development teams to implement scalable deployment strategies.
• Monitor application performance and troubleshoot deployment issues.
• Support containerization initiatives using Docker and Kubernetes.
Kubernetes Administration & Deployment (Primary)
• Deploy, configure, and manage containerized workloads on Kubernetes clusters.
• Create and maintain Kubernetes manifests, Helm charts, and deployment configurations.
• Monitor cluster health, performance, and security.
• Implement automated deployment, scaling, and rollback strategies.
Cloud Platforms (Preferred)
• Work with AWS services such as EKS, EC2, S3, IAM, VPC, CloudWatch, and other cloud-native services.
• Provision and manage cloud infrastructure using Terraform.
• Assist in cloud migration and modernization initiatives.
Required Skills
Primary Skills
• GitLab CI/CD
• Shell Scripting (Bash)
• Terraform (Infrastructure as Code)
• YAML Scripting
• API Deployment & Management
• Microservices Architecture
• Kubernetes Administration and Deployment
• Docker Containers
• Linux System Administration
Skills: Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD) ~ Digital : Microservices ~ Java API Management & Microservices ~ Digital : Kubernetes ~ AWS DevOps and Automation
Experience Required: 4-6