Job Summary
Position: Azure DevOps Cloud Architect Experience: 12+ years (Cloud Architecture, DevOps, Infrastructure Automation) Role Summary Looking for a Azure DevOps Cloud Architect who will be responsible for designing, implementing, and governing enterprise-scale Azure cloud platforms and DevOps ecosystems. The role drives cloud transformation initiatives, defines architecture standards, enables Infrastructure as Code (IaC), and establishes CI/CD pipelines to deliver secure, scalable, and highly available cloud solutions
Key Responsibilities
Key Responsibilities • Architect end-to-end Azure cloud solutions for enterprise environments. • Design and implement CI/CD pipelines using Azure DevOps and GitHub Actions. • Develop Infrastructure as Code (IaC) using Terraform, with Python & Jenkin knowledge • Define cloud governance, security, compliance, and cost-optimization strategies. • Design high-availability, disaster recovery, and business continuity solutions. • Implement container platforms using Docker and Kubernetes (AKS). • Lead cloud migrations and modernization initiatives. • Establish DevSecOps practices including security scanning and automated testing. • Create monitoring, logging, and observability frameworks. • Administer and support enterprise Azure data and AI platform environments. • Provision, configure, maintain, and decommission Azure resources through automated infrastructure-as-code deployments using Bicep and Terraform, based on approved project and platform requirements. • Administer Azure Databricks workspaces, clusters, compute resources, runtime versions, repositories, Unity Catalog, jobs, and workflows. • Monitor Databricks environments and troubleshoot cluster, runtime, job, workflow, access, dependency, authentication, and connectivity issues. • Administer Azure Data Factory environments, pipelines, Integration Runtime infrastructure, and associated platform configurations. • Monitor Integration Runtime nodes and manage upgrades, restarts, availability issues, and recovery activities. • Support Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Databricks Model Serving, Databricks Apps, Databricks Lakebase, and Databricks MCP platform environments. • Manage platform configurations, access, identities, secrets, connectivity, monitoring, security, and compliance requirements for supported data and AI • Mentor engineering teams and provide architecture leadership across projects. • Collaborate with business stakeholders to translate requirements into technical solutions.
Skill Requirements
rchitect - Azure DevOps, Terraform Job Summary : Position: Azure DevOps Cloud Architect Experience: 12+ years (Cloud Architecture, DevOps, Infrastructure Automation) Role Summary Looking for a Azure DevOps Cloud Architect who will be responsible for designing, implementing, and governing enterprise-scale Azure cloud platforms and DevOps ecosystems. The role drives cloud transformation initiatives, defines architecture standards, enables Infrastructure as Code (IaC), and establishes CI/CD pipelines to deliver secure, scalable, and highly available cloud solutions Job Responsibilities : Key Responsibilities • Architect end-to-end Azure cloud solutions for enterprise environments. • Design and implement CI/CD pipelines using Azure DevOps and GitHub Actions. • Develop Infrastructure as Code (IaC) using Terraform, with Python & Jenkin knowledge • Define cloud governance, security, compliance, and cost-optimization strategies. • Design high-availability, disaster recovery, and business continuity solutions. • Implement container platforms using Docker and Kubernetes (AKS). • Lead cloud migrations and modernization initiatives. • Establish DevSecOps practices including security scanning and automated testing. • Create monitoring, logging, and observability frameworks. • Administer and support enterprise Azure data and AI platform environments. • Provision, configure, maintain, and decommission Azure resources through automated infrastructure-as-code deployments using Bicep and Terraform, based on approved project and platform requirements. • Administer Azure Databricks workspaces, clusters, compute resources, runtime versions, repositories, Unity Catalog, jobs, and workflows. • Monitor Databricks environments and troubleshoot cluster, runtime, job, workflow, access, dependency, authentication, and connectivity issues. • Administer Azure Data Factory environments, pipelines, Integration Runtime infrastructure, and associated platform configurations. • Monitor Integration Runtime nodes and manage upgrades, restarts, availability issues, and recovery activities. • Support Azure Machine Learning, Azure AI Foundry, Azure OpenAI, Databricks Model Serving, Databricks Apps, Databricks Lakebase, and Databricks MCP platform environments. • Manage platform configurations, access, identities, secrets, connectivity, monitoring, security, and compliance requirements for supported data and AI • Mentor engineering teams and provide architecture leadership across projects. • Collaborate with business stakeholders to translate requirements into technical solutions. Skill Requirement : Technical Skills Azure Services • Azure Compute, Networking, Storage • Azure App Services • Azure Kubernetes Service (AKS) • Azure Virtual Machines • Azure Functions • Azure SQL • Azure Monitor • Azure Security Center • Databricks Apps • Databricks Lakebase and Databricks MCP DevOps & Automation • Azure DevOps • GitHub & GitHub Actions • CI/CD Pipeline Design • Terraform • Ansible • PowerShell • Python • Bash Scripting Containers & Orchestration • Docker • Kubernetes / AKS DevSecOps • SonarQube • Snyk • Checkmarx • Veracode • Mend • Secret Scanning • SAST / DAST / SCA Monitoring & Reliability • Azure Monitor • Log Analytics • Application Insights • Observability Platforms (Preferred: New Relic) • Performance Optimization Architecture & Security • Enterprise Architecture • Network Design • IAM & RBAC • Zero Trust Principles • Disaster Recovery • Security & Compliance Frameworks Qualifications • Bachelor’s degree in computer science, IT, or related field. • Azure Solution Architect Expert Certification • Azure DevOps Engineer Expert Certification • Strong experience in Azure Cloud Architecture. • Proven experience designing enterprise-scale DevOps and cloud platforms. • Excellent stakeholder management and leadership skills Preferred Certifications • Microsoft Certified: Azure Solutions Architect Expert (AZ-305) • Microsoft Certified: DevOps Engineer Expert (AZ-400) • Azur
Other Requirements
NA