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DevOps EngineerUniversity of Michigan FlintUnited States
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DevOps Engineer

University of Michigan Flint
  • US
    United States
  • US
    United States

Über

DevOps Engineer
The Center for Academic Innovation at the University of Michigan is seeking a qualified DevOps Engineer to support the reliability, security, scalability, and operational maturity of CAI's application and platform environments. Reporting to the Director of Technology Infrastructure and Support, this role will help manage and improve the systems that support Michigan Online and other CAI initiatives. The ideal candidate brings strong technical skills in cloud and platform operations, infrastructure automation, CI/CD, and observability, along with a practical, collaborative approach to problem solving and documentation. This role works across a technology stack that includes AWS, OpenShift, Linux-based environments, GitHub, CI/CD pipelines, monitoring and alerting platforms, databases, and application environments that support CAI’s digital learning platforms. Responsibilities
Support the reliability, availability, and day-to-day operation of CAI’s application and platform environments, including Michigan Online systems Help administer and improve CAI's OpenShift-based application environments and related hosting infrastructure Build, maintain, and improve CI/CD pipelines and GitHub-based deployment workflows in collaboration with development teams Implement and support monitoring, alerting, and observability practices across infrastructure and applications to reduce downtime and improve incident response Assist with infrastructure automation, configuration management, and operational standardization across AWS and other hosting environments Own and evolve CAI's observability approach for independently managed infrastructure and applications, including monitoring, alerting, logging, dashboards, and incident-response visibility, in coordination with shared university platforms where appropriate. Support security-related operational controls, including access management, credential handling, system hardening, and vulnerability remediation. Ensure the CAI infrastructure remains secure by adhering to and promoting industry standards and best practices. Create and maintain clear technical documentation, runbooks, and operational procedures to improve transparency and resilience Support testing, troubleshooting, and continuous improvement of development and ephemeral environments Partner with application development, compliance, and data teams to ensure infrastructure requirements and implementations are aligned with the cross-cutting needs of CAI Required Qualifications
Bachelor's degree in computer science, information technology, software engineering, or a related field, or equivalent combination of education and experience 3 or more years of professional experience in DevOps, cloud infrastructure, platform engineering, systems administration, or a closely related area Experience supporting cloud or hosted application environments in a production setting Experience with container platforms such as Kubernetes or OpenShift Experience with GitHub, CI/CD pipelines, deployment automation, and source control workflows Demonstrated experience designing and operating infrastructure using infrastructure as code, including Terraform, with responsibility for observability, monitoring, alerting, logging, and operational visibility in production environments. Experience with scripting or automation using tools such as Python, or similar technologies Proficiency with AI-assisted coding and automation tools, including the ability to translate ideas into working technical solutions and validate the results Experience with AWS, Linux administration, observability platforms, database-backed applications, infrastructure as code, or higher education environments is a plus Demonstrated experience designing, implementing, and operating observability for infrastructure and applications, including monitoring, alerting, logging, dashboards, and incident response workflows. Ability to learn and appropriately use new technologies to improve processes, communication, and outcomes, including AI-enabled tools where relevant to the role, consistent with university policy and job responsibilities.
  • United States

Sprachkenntnisse

  • English
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