{"id":2552786,"url":"https://alion.io/job/crestron-cloud-engineer","title":"Cloud Engineer","company":{"id":181558,"name":"Crestron","domain":"crestron.com","url":"https://alion.io/company/crestron","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"A","score":88,"open_postings":32,"ghost_share":0,"stale_share":0.469,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":88500,"max":143000,"currency":"USD","period":"year","gross":null,"usd_annual":143000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Linux","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"VPN","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-10-14T04:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T13:44:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"OverviewThe Cloud Engineer specializes in Microsoft Azure to support, build, and optimize our cloud environments. This role focuses on deploying cloud resources, improving reliability, automating operations, and ensuring secure, efficient use of cloud services. The ideal candidate has hands-on Azure experience, solid scripting skills, and the ability to collaborate with infrastructure, DevOps, and application teams to deliver stable and scalable cloud solutions.Responsibilities\nDeploy, configure, and manage Azure cloud resources, including compute, storage, networking, and identity services.\nSupport and maintain Azure infrastructure such as VMs, App Services, Functions, Storage Accounts, and VNets.\nAutomate routine tasks and operational workflows using PowerShell, Bash, or Python.\nMonitor cloud performance, availability, and cost using Azure Monitor, Log Analytics, and Alerts.\nAssist in implementing cloud security best practices, including RBAC, conditional access, encryption, and policy compliance.\nTroubleshoot cloud infrastructure issues across compute, network, and identity layers.\nSupport application teams with cloud deployments, configuration, and environment setup.\nParticipate in incident response and provide operational support for cloud-hosted workloads.\nMaintain documentation for cloud configurations, standards, and operational procedures.\nWork on cloud cost optimization and maintain needed documentation.\nExplore and help evaluate emerging AI-enabled cloud capabilities (e.g., Azure AI Foundry, Model Context Protocol/agentic tooling) and bring new ideas back to the team.\nQualifications\nBachelor’s Degree in Arts/Sciences (BA/BS) in Computer Science or Information Technology related. Required\n4-6 years Sr. cloud engineering with hands-on Azure experience. Required\nStrong understanding of core Azure services, VMs, Storage, VNets, Load Balancers, AD / Entra ID, RBAC, App Services, Functions, Logic Apps, Monitor, Log Analytics)\nExperience supporting production cloud environments. \nSolid understanding of networking fundamentals: DNS, routing, firewalls, VPN. \nProficiency in PowerShell, Bash, or Python scripting. \nExperience with Infrastructure as Code (Terraform, Bicep, ARM) \nFamiliarity with CI/CD pipelines using Azure DevOps or GitHub Actions. \nKnowledge of Windows and Linux administration in cloud environments. \nExperience with cost optimization and cloud governance. \nExposure to AI-enabled Azure tooling such as Azure AI Foundry, Azure OpenAI, or agentic/MCP-based frameworks.\n\nPer applicable state requirements, the annual pay range for this position ($88,500 - $143,000) which consists of base salary (subject to performance), reflects the hiring range for candidates. 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