Azure DevOps & Infrastructure Engineer
eTeam Inc
Plano, TX, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Artificial Intelligence
Microsoft Azure
Bash Shell
Cloud Computing
Cloud Computing Security
Cloud Engineering
Continuous Integration
DevOps
Github
Identity and Access Management
Python (Programming Language)
+18 more
Linux System Administration
Windows PowerShell
OpenAI
Azure Machine Learning
Search Technologies
Software Deployment
Data Logging
Scripting
System Availability
Delivery Pipeline
Grafana
Kubernetes Helm Charts
HybridCloud
Containerization
Kubernetes
Infrastructure Automation Frameworks
Azure AKS
Terraform
Job description
- The Azure DevOps & Infrastructure Engineer is responsible for designing, provisioning, managing, and optimizing Azure and cloud infrastructure environments. The role focuses on infrastructure automation, platform reliability, monitoring, logging, security, and operational excellence while ensuring alignment with business requirements, AT&T CDO standards, and industry best practices.
- Key Responsibilities
- Provision and manage cloud infrastructure using Infrastructure as Code (IaC) tools, primarily Terraform.
- Administer and maintain Azure infrastructure services, ensuring high availability, scalability, and security.
- Implement and manage monitoring, alerting, logging, and observability solutions to support operational excellence.
- Ensure infrastructure solutions meet business requirements, AT&T CDO standards, compliance requirements, and industry best practices.
- Collaborate closely with CDO architects, designers, developers, and data scientists across multiple initiatives and projects.
- Support and enhance CI/CD pipelines for automated infrastructure deployment and application delivery.
- Coordinate and collaborate with onshore and offshore Azure Infrastructure engineering teams to ensure seamless project execution.
- Troubleshoot infrastructure issues and perform root cause analysis to maintain stable and reliable environments.
- Evaluate, recommend, and support the adoption of emerging cloud technologies, tools, and best practices.
- Provide technical guidance, mentorship, and leadership to junior and mid-level Azure Infrastructure engineers.
- Supervisory Responsibility: No direct reports
Requirements
- Strong experience with Azure Cloud Infrastructure and platform services.
- Hands-on experience in Infrastructure as Code (IaC)using Terraform.
- Experience with CI/CD automation, deployment pipelines, and DevOps practices.
- Strong expertise in monitoring, alerting, logging, and observability tools and frameworks.
- Experience with Helm Charts for Kubernetes application deployment and management.
- Good understanding of Linux system administration and operating system fundamentals.
- Experience managing and supporting cloud-native and hybrid cloud infrastructure environments.
- Working knowledge of Azure networking, security, identity management, storage, and compute services.
- Experience with containerized environments and Kubernetes platforms is preferred.
- Knowledge of automation and scripting using tools such as PowerShell, Bash, or Python is desirable., * 5 years of experience in Azure Infrastructure, Cloud Engineering, or DevOps-related roles.
- Azure certifications (AZ-104, AZ-305, or equivalent) are preferred.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills in a global delivery environment.
Preferred Skills
- Experience with Azure Kubernetes Service (AKS).
- Experience in provisioning Azure DevOps build and deployment pipelines
- Experience working in Agile and DevOps environments.
- Knowledge of GitHub Actions for CI and ArgoCD for continuous deployments
- Knowledge of Azure AI Services like AI Search, Language Services, AI Foundry, Azure OpenAI
- Familiarity with cloud security best practices and governance frameworks.
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