{"id":1722920,"url":"https://alion.io/job/hcltech-tower-lead-azure-devops-terraform-2","title":"Tower Lead - Azure DevOps, Terraform","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Dallas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":230000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":489},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-02T21:12:52Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-12T10:27:33Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Job Summary\nJob Title: DevOps Architect Location: [Insert Location] Job Type: [Full-Time / Contract / Remote / Hybrid] Experience Level: [Senior / 10+ Years Preferred] Department: IT / Cloud Engineering ________________________________________ Job Summary: We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions. The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices. ________________________________________ Key Responsibilities:\nArchitect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines.\nDesign and manage infrastructure for Azure services including:\nApp Services\nAzure Data Factory\nAPI Management (APIM)\nStorage Accounts\nKey Vaults\nAzure OpenAI\nDeploy and manage AI models and machine learning infrastructure using Terraform.\nImplement and manage IAM policies and role-based access control (RBAC) across environments.\nConfigure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios.\nDefine and execute disaster recovery and business continuity strategies.\nCollaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes.\nMonitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability.\nEstablish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation. ________________________________________ Mandatory Skills:\nAzure DevOps (Repos, Pipelines, Boards, Artifacts)\nTerraform (including modules for AI, IAM, and Azure services)\nYAML scripting for pipeline automation ________________________________________ Additional Required Skills:\nStrong experience with Azure services: App Services, Data Factory, APIM, Storage, Key Vaults\nExperience deploying and managing Azure OpenAI and AI/ML models\nExpertise in IAM, RBAC, and security best practices in Azure\nExperience with on-premise agent pools in Azure DevOps\nProficiency in scripting (PowerShell, Bash, or Python)\nStrong understanding of networking, monitoring, and logging in Azure\nExperience with disaster recovery planning and implementation ________________________________________ Preferred Qualifications:\nAzure certifications (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert)\nExperience with containerization (Docker, Kubernetes)\nFamiliarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights\nKey Responsibilities\nJob Title: DevOps Architect Location: [Insert Location] Job Type: [Full-Time / Contract / Remote / Hybrid] Experience Level: [Senior / 10+ Years Preferred] Department: IT / Cloud Engineering ________________________________________ Job Summary: We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions. The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices. ________________________________________ Key Responsibilities:\nArchitect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines.\nDesign and manage infrastructure for Azure services including:\nApp Services\nAzure Data Factory\nAPI Management (APIM)\nStorage Accounts\nKey Vaults\nAzure OpenAI\nDeploy and manage AI models and machine learning infrastructure using Terraform.\nImplement and manage IAM policies and role-based access control (RBAC) across environments.\nConfigure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios.\nDefine and execute disaster recovery and business continuity strategies.\nCollaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes.\nMonitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability.\nEstablish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation. ________________________________________ Mandatory Skills:\nAzure DevOps (Repos, Pipelines, Boards, Artifacts)\nTerraform (including modules for AI, IAM, and Azure services)\nYAML scripting for pipeline automation ________________________________________ Additional Required Skills:\nStrong experience with Azure services: App Services, Data Factory, APIM, Storage, Key Vaults\nExperience deploying and managing Azure OpenAI and AI/ML models\nExpertise in IAM, RBAC, and security best practices in Azure\nExperience with on-premise agent pools in Azure DevOps\nProficiency in scripting (PowerShell, Bash, or Python)\nStrong understanding of networking, monitoring, and logging in Azure\nExperience with disaster recovery planning and implementation ________________________________________ Preferred Qualifications:\nAzure certifications (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert)\nExperience with containerization (Docker, Kubernetes)\nFamiliarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights\nSkill Requirements\nJob Title: DevOps Architect Location: [Insert Location] Job Type: [Full-Time / Contract / Remote / Hybrid] Experience Level: [Senior / 10+ Years Preferred] Department: IT / Cloud Engineering ________________________________________ Job Summary: We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions. The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices. ________________________________________ Key Responsibilities:\nArchitect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines.\nDesign and manage infrastructure for Azure services including:\nApp Services\nAzure Data Factory\nAPI Management (APIM)\nStorage Accounts\nKey Vaults\nAzure OpenAI\nDeploy and manage AI models and machine learning infrastructure using Terraform.\nImplement and manage IAM policies and role-based access control (RBAC) across environments.\nConfigure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios.\nDefine and execute disaster recovery and business continuity strategies.\nCollaborate with development, security, and operations teams to ensure secure and efficient CI/CD processes.\nMonitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability.\nEstablish and enforce best practices for infrastructure as code (IaC), cloud governance, and DevOps automation. ________________________________________ Mandatory Skills:\nAzure DevOps (Repos, Pipelines, Boards, Artifacts)\nTerraform (including modules for AI, IAM, and Azure services)\nYAML scripting for pipeline automation ________________________________________ Additional Required Skills:\nStrong experience with Azure services: App Services, Data Factory, APIM, Storage, Key Vaults\nExperience deploying and managing Azure OpenAI and AI/ML models\nExpertise in IAM, RBAC, and security best practices in Azure\nExperience with on-premise agent pools in Azure DevOps\nProficiency in scripting (PowerShell, Bash, or Python)\nStrong understanding of networking, monitoring, and logging in Azure\nExperience with disaster recovery planning and implementation ________________________________________ Preferred Qualifications:\nAzure certifications (e.g., Azure Solutions Architect Expert, DevOps Engineer Expert)\nExperience with containerization (Docker, Kubernetes)\nFamiliarity with monitoring tools like Azure Monitor, Log Analytics, and Application Insights\nOther Requirements\nJob Title: DevOps Architect Location: [Insert Location] Job Type: [Full-Time / Contract / Remote / Hybrid] Experience Level: [Senior / 10+ Years Preferred] Department: IT / Cloud Engineering ________________________________________ Job Summary: We are looking for a seasoned DevOps Architect with deep expertise in Azure DevOps, Terraform, and Azure cloud services to lead the design and implementation of scalable, secure, and automated infrastructure solutions. The ideal candidate will have hands-on experience with AI model deployments, IAM (Identity and Access Management), on-premise agent pools, and disaster recovery strategies, with a strong focus on automation and cloud-native best practices. ________________________________________ Key Responsibilities:\nArchitect and implement end-to-end DevOps solutions using Azure DevOps, Terraform, and YAML-based pipelines.\nDesign and manage infrastructure for Azure services including:\nApp Services\nAzure Data Factory\nAPI Management (APIM)\nStorage Accounts\nKey Vaults\nAzure OpenAI\nDeploy and manage AI models and machine learning infrastructure using Terraform.\nImplement and manage IAM policies and role-based access control (RBAC) across environments.\nConfigure and manage on-premise agent pools in Azure DevOps for hybrid deployment scenarios.\nDefine and execute disaster recovery and business continuity strategies.\nCollaborate with development, security, and operations teams to ensure secure 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