Overview As a member of the Custom Solutions and Integration team (CSI), the DevOps Engineer collaborates with a team of software developers, business analysts, and QA specialists in the delivery of custom software solutions for Princeton University. The DevOps Engineer leverages in-depth knowledge of servers, virtualization, containerization, application administration/configuration, code repositories, monitoring, and systems security to design and implement DevOps automation strategies to support a portfolio of on-prem and cloud applications. The DevOps Engineer is responsible for optimizing and automating software development processes, including but not limited to coding, design, software builds and releases, infrastructure creation and management, application deployment, security, quality assurance, and updates/upgrades.
The Engineer partners with IT colleagues in Enterprise Infrastructure Services (EIS) and Software Infrastructure Services (SIS) to develop organizational infrastructure standards and determine best practices for cloud application development. The Engineer represents the interests of the CSI team across a variety of cloud forums and acts as a liaison between the application developer/analysts and the infrastructure teams.
This is a hybrid role. Responsibilities
Design, build and maintain automation for infrastructure creation/maintenance and application deployments
Apply software development operations experience to create and maintain robust software development processes and automation
Implement, troubleshoot, upgrade, decommission, and migrate application infrastructure and services in support of applications and projects for the CSI team
Manage and track DevOps projects for the CSI team.
Lead DevOps initiatives in collaboration with colleagues in a variety of roles (functional and technical) and from various parts of the University as necessary.
Implement and improve monitoring and alerting in support of a robust application support plan
Assist in the creation of technical standards and best practices for software development processes and automation
Use AI in DevOps to improve software development and delivery, especially in areas to automate tasks, improve code quality, and optimize application performance
Design and improve the efficiency, reliability, and security of software development processes
Monitor for errors and problems and troubleshoot system-level issues that arise for CSI applications and infrastructure.
When provided access to personal, proprietary and/or otherwise confidential data, maintain such data in the strictest confidence and follow procedures to ensure the privacy, security, and proper use of data
Identify improvements to the efficiency, effectiveness, maintainability, and security of the software development processes
Provide technical expertise and guidance for improving the performance, quality, and security of new and existing infrastructure and automation
Raise the software development capabilities of the CSI team in support of various campus partners
Qualifications Essential Qualifications
5+ years' experience working in an IT organization in a technical role supporting DevOps infrastructure
Extensive experience in the installation, upgrade, enhancement, and support of custom applications in a cloud hosting environment
Experience with containerization and container orchestration, ideally Docker and Kubernetes
Proficient with Git and related tooling/processes
Extensive experience with system administration and firm grasp of server virtualization concepts, ideally Linux/Unix
Experience with automation tools and frameworks (e.g., Puppet, Terraform)
Extensive experience with software automation techniques and tools (e.g., Jenkins, Nexus, Maven, NodeJS, Terraform, Selenium)
Expertise in scripting and scripting languages that support automation (e.g., bash shell, Python, PowerShell)
Strong organizational skills and ability to work independently
Proven ability to multitask across various projects while effectively managing DevOps initiatives for the team.
Ability to learn new technologies quickly
Strong analytical and problem-solving skills
Ability to work collaboratively on team initiatives
Ability to create comprehensive and well-written documentation
Very strong interpersonal and communication (oral and written) skills
Education: Bachelor's degree or equivalent work experience
Preferred Qualifications
Firm grasp of relational databases, SQL, and/or database administration
Experience with Azure DevOps
Experience with Azure Cloud technologies
Experience with Bicep language for deploying Azure resources
Experience with PowerShell, Azure CLI
Expertise with Jira for project management and automation
Experience in higher education
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. KNOW YOUR RIGHTS
Standard Weekly Hours36.25Eligible for OvertimeNoBenefits EligibleYesProbationary Period180 daysEssential Services Personnel (see policy for detail)NoPhysical Capacity Exam RequiredNoValid Driver's License RequiredNo Experience LevelMid-Senior Level#LI-JJ1