Devops Architect / Lead Azure Devops :: Plano, TX / Remote
Title : Devops Architect / Lead Azure Devops
Location : Plano, TX / Remote
Rate: On W2/C2C
Mandatory Skills : Azure Devops, Terraform, Kubernetes, CI/CD
Job Description:
Experience: 12-18 years
This opportunity is for Cloud Architect role who also some experience with Infrastructure migrations and Linux/Unix Administration. This role requires a combination of strong technical skills, leadership, and the ability to work closely with clients and technical teams to deliver robust cloud solutions and optimize the DevOps processes.
Skills:
Mandatory:
• 8+ Years Experience/ Conceptual knowledge on Azure technologies and tools:Azure AD, Azure Storage Accounts, Azure Virtual Machines, Azure SQL, Recovery Service Vault, Azure Load balancer, Azure Monitor, Azure PublicPrivate DNS, vNet (Peering) and Azure VPN, WebApps, ARM, CLI
• 8+ years of experience working with deployment of cloud applications, to Azure cloud using Azure DevOps CI/CD pipelines.
• 8+ years of experience working with Terraform scripts and deploying infrastructure to Azure cloud using Azure DevOps CI/CD pipelines
• Automation/configuration management using Puppet, Chef, Ansible, SaltStack, or equivalent.
• 8+ years of experience with containerization and orchestration tools: Docker, Kubernetes, ECS, EKS, or equivalentt.
• Azure trained / certified architect Professional Level
• Strong background in Linux/Unix administration.
• Experience with source code management tools: GitHub, GitLab, Bitbucket, or equivalent
• Solid understanding of networking and core Internet Protocols such as TCP/IP, DNS, SMTP, HTTP and load balancing and routing in distributed networks.
• working understanding of code and script such as: Shell, PHP, Python / GO, Perl and/or Ruby.
• IAM & Cloud Networking
• Infrastructure as Code (Terraform)
• Platform Engineering (Frameworks, Golden Pipelines, Enablement, Governance)
• Observability & Reliability (Monitoring, Logging, Alerting, Metrics, Traces)
• Astra db would be a plus along with any AI knowledge
• Experience of implementing architectural governance and proactively managing issues and risks throughout the delivery lifecycle.
• Good familiarity with the disciplines of enterprise software development such as configuration & release management, source code & version controls, and operational considerations such as monitoring and instrumentation
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