{"schemaVersion":"jobsearcher.job.v1","id":"1c3b8a2070ceca3c9514c5d4","url":"https://jobsearcher.com/jobs/1c3b8a2070ceca3c9514c5d4","canonicalUrl":"https://jobsearcher.com/jobs/1c3b8a2070ceca3c9514c5d4","title":"Senior DevOps Engineer","description":"Senior DevOps Engineer (Remote | Azure, AI/ML)Optomi, in partnership with a large IT infrastructure service provider, is seeking an experienced and motivated Senior DevOps Engineer to join our technology team in building a highly automated, intelligent, and scalable Azure environment. This role is centered on AI-powered automation, infrastructure as code, and driving operational efficiency across our Azure stack. This person will work on a tactical engineering team focused on implementing modern DevOps practices, embedding machine learning into CI/CD and monitoring workflows, and building systems that are proactive, resilient, and self-healing. The right candidate will be autonomous, curious, and innovative, able to translate high-level objectives into well-architected, automated solutions. They will collaborate with cross-functional teams to deploy, monitor, and improve Azure-hosted environments, and play a key part in our evolution toward full SaaS adoption using Azure Data Fabric and AI/ML integrations.What the right candidate will enjoy:The flexibility of a remote work schedule!The freedom to make independent choices and architect your own solutions!Hands-on experience with modern tools and services!A work culture that values innovation, growth, and collaboration!Experience of the right candidate:5+ years of practical experience in DevOps with deep Azure expertise.Strong hands-on experience with Terraform for Infrastructure as Code (IaC) in Azure.Proficiency in scripting with PowerShell, Python, or Bash.Experience implementing CI/CD pipelines (GitHub Actions or similar tools).Experience integrating AI/ML models into operational workflows (e.g., anomaly detection, predictive scaling).Familiarity with Azure AI Services (Machine Learning, Cognitive Services, etc.).Practical experience with monitoring/alerting platforms, ideally Dynatrace; Azure-native tools also acceptable.Solid understanding of data platforms and their role in infrastructure automation.Able to work independently—comfortable breaking down vague objectives into actionable plans without micromanagement.Responsibilities of the right candidate:Design and maintain CI/CD pipelines in Azure (including Azure Data Fabric), integrating AI tools to optimize build, test, and deployment cycles.Develop intelligent monitoring and alerting systems using tools such as Dynatrace and Azure Monitor, incorporating AI/ML models to detect anomalies and resolve issues proactively.Automate deployment of AI/ML solutions, and support low-code environments for rapid configuration and scaling.Build infrastructure using Terraform, standardizing and automating cloud provisioning with an emphasis on security, scale, and maintainability.Ensure all deployments follow an “automation-first” principle—manual or button-click tasks should be minimized or eliminated.Collaborate with software and infrastructure teams to embed automation and intelligence across development, testing, and production environments.Evaluate and adopt emerging technologies in Azure and AI/ML to improve observability, efficiency, and resiliency.Contribute to system design and architectural decisions, particularly in data platform automation and cloud service integration.","company":"Optomi","rawCompany":"optomi","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T12:04:33.570Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1244.00","title":"Network and Computer Systems Administrators","slug":"network-and-computer-systems-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior DevOps Engineer","description":"Senior DevOps Engineer (Remote | Azure, AI/ML)Optomi, in partnership with a large IT infrastructure service provider, is seeking an experienced and motivated Senior DevOps Engineer to join our technology team in building a highly automated, intelligent, and scalable Azure environment. This role is centered on AI-powered automation, infrastructure as code, and driving operational efficiency across our Azure stack. This person will work on a tactical engineering team focused on implementing modern DevOps practices, embedding machine learning into CI/CD and monitoring workflows, and building systems that are proactive, resilient, and self-healing. The right candidate will be autonomous, curious, and innovative, able to translate high-level objectives into well-architected, automated solutions. They will collaborate with cross-functional teams to deploy, monitor, and improve Azure-hosted environments, and play a key part in our evolution toward full SaaS adoption using Azure Data Fabric and AI/ML integrations.What the right candidate will enjoy:The flexibility of a remote work schedule!The freedom to make independent choices and architect your own solutions!Hands-on experience with modern tools and services!A work culture that values innovation, growth, and collaboration!Experience of the right candidate:5+ years of practical experience in DevOps with deep Azure expertise.Strong hands-on experience with Terraform for Infrastructure as Code (IaC) in Azure.Proficiency in scripting with PowerShell, Python, or Bash.Experience implementing CI/CD pipelines (GitHub Actions or similar tools).Experience integrating AI/ML models into operational workflows (e.g., anomaly detection, predictive scaling).Familiarity with Azure AI Services (Machine Learning, Cognitive Services, etc.).Practical experience with monitoring/alerting platforms, ideally Dynatrace; Azure-native tools also acceptable.Solid understanding of data platforms and their role in infrastructure automation.Able to work independently—comfortable breaking down vague objectives into actionable plans without micromanagement.Responsibilities of the right candidate:Design and maintain CI/CD pipelines in Azure (including Azure Data Fabric), integrating AI tools to optimize build, test, and deployment cycles.Develop intelligent monitoring and alerting systems using tools such as Dynatrace and Azure Monitor, incorporating AI/ML models to detect anomalies and resolve issues proactively.Automate deployment of AI/ML solutions, and support low-code environments for rapid configuration and scaling.Build infrastructure using Terraform, standardizing and automating cloud provisioning with an emphasis on security, scale, and maintainability.Ensure all deployments follow an “automation-first” principle—manual or button-click tasks should be minimized or eliminated.Collaborate with software and infrastructure teams to embed automation and intelligence across development, testing, and production environments.Evaluate and adopt emerging technologies in Azure and AI/ML to improve observability, efficiency, and resiliency.Contribute to system design and architectural decisions, particularly in data platform automation and cloud service integration.","datePosted":"2026-08-14T12:04:33.570Z","dateModified":"2026-08-14T12:04:33.570Z","hiringOrganization":{"@type":"Organization","name":"Optomi","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1c3b8a2070ceca3c9514c5d4"},"url":"https://jobsearcher.com/jobs/1c3b8a2070ceca3c9514c5d4"}}