{"schemaVersion":"jobsearcher.job.v1","id":"a9bc045d5621bdf5fc1fc5ef","url":"https://jobsearcher.com/jobs/a9bc045d5621bdf5fc1fc5ef","canonicalUrl":"https://jobsearcher.com/jobs/a9bc045d5621bdf5fc1fc5ef","title":"DevOps Engineer","description":"AI DevOps EngineerLocation: San Francisco, CA / Los Angeles, CA / New York, NYWork Model: Hybrid – Onsite 10–12 days per monthEmployment Type: Full-Time, PermanentSalary Range: $160,000–$175,000 annuallyAbout the RoleWe are seeking an experienced AI DevOps Engineer to design, build, and manage automated CI/CD pipelines and infrastructure supporting AI, ML, Generative AI, and agentic AI applications across Microsoft Azure and on-premises environments.Key ResponsibilitiesDesign, develop, and maintain Azure DevOps YAML pipelines and reusable CI/CD components.Automate application build, testing, security validation, packaging, deployment, and release management.Manage containerization, artifact management, environment promotion, deployment verification, and rollback procedures.Support AI/ML application deployments across Azure and on-premises virtual machines or virtual desktop infrastructure.Collaborate with AI Software Engineers, ML Engineers, and infrastructure teams to define deployment and hosting requirements.Implement DevSecOps practices, access controls, configuration management, and change-control procedures.Protect sensitive, confidential, financial, and proprietary information.Required QualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.Minimum 5 years of experience in DevOps, cloud engineering, platform engineering, or infrastructure engineering.At least 3 years of hands-on experience building and maintaining Azure DevOps CI/CD pipelines.Strong proficiency in Azure DevOps YAML, build and release automation, service connections, artifacts, deployment environments, approvals, variables, and access controls.Solid understanding of CI/CD, DevSecOps, automated testing, release management, and rollback strategies.Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Azure and on-premises environments.Ideal CandidateA hands-on DevOps professional with strong Azure DevOps pipeline expertise and experience operationalizing AI/ML applications in secure, enterprise environments.","company":"Calance","rawCompany":"calance","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-31T07:32:10.641Z","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":"DevOps Engineer","description":"AI DevOps EngineerLocation: San Francisco, CA / Los Angeles, CA / New York, NYWork Model: Hybrid – Onsite 10–12 days per monthEmployment Type: Full-Time, PermanentSalary Range: $160,000–$175,000 annuallyAbout the RoleWe are seeking an experienced AI DevOps Engineer to design, build, and manage automated CI/CD pipelines and infrastructure supporting AI, ML, Generative AI, and agentic AI applications across Microsoft Azure and on-premises environments.Key ResponsibilitiesDesign, develop, and maintain Azure DevOps YAML pipelines and reusable CI/CD components.Automate application build, testing, security validation, packaging, deployment, and release management.Manage containerization, artifact management, environment promotion, deployment verification, and rollback procedures.Support AI/ML application deployments across Azure and on-premises virtual machines or virtual desktop infrastructure.Collaborate with AI Software Engineers, ML Engineers, and infrastructure teams to define deployment and hosting requirements.Implement DevSecOps practices, access controls, configuration management, and change-control procedures.Protect sensitive, confidential, financial, and proprietary information.Required QualificationsBachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.Minimum 5 years of experience in DevOps, cloud engineering, platform engineering, or infrastructure engineering.At least 3 years of hands-on experience building and maintaining Azure DevOps CI/CD pipelines.Strong proficiency in Azure DevOps YAML, build and release automation, service connections, artifacts, deployment environments, approvals, variables, and access controls.Solid understanding of CI/CD, DevSecOps, automated testing, release management, and rollback strategies.Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Azure and on-premises environments.Ideal CandidateA hands-on DevOps professional with strong Azure DevOps pipeline expertise and experience operationalizing AI/ML applications in secure, enterprise environments.","datePosted":"2026-10-31T07:32:10.641Z","dateModified":"2026-10-31T07:32:10.641Z","hiringOrganization":{"@type":"Organization","name":"Calance","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a9bc045d5621bdf5fc1fc5ef"},"url":"https://jobsearcher.com/jobs/a9bc045d5621bdf5fc1fc5ef"}}