Service Reliability Engineer, Automation and Scheduling

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.
 
 Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners.
 
 Opportunity:
DeVry University is seeking a Service Reliability Engineer Automation & Scheduling to lead efforts in automation, observability, and platform reliability across our enterprise job orchestration and data systems. This hands-on role is ideal for a technically skilled individual with strong scripting abilities, a drive for continuous improvement, and direct experience with modern automation technologies.
You will take ownership of complex scheduling workflows, improve system resiliency, reduce operational overhead through scripting and intelligent automation, and support the reliability of critical platforms like AppWorx and Power BI.

Key Responsibilities:

Job Scheduling & Automation:
• Build and maintain scripts (PowerShell, Python, or Bash) to manage over 2,000 scheduled jobs, improve efficiency, and reduce manual intervention
• Enhance monitoring, alerting, and observability to detect issues early and maintain high system availability
• Lead root cause analysis and implement preventative measures for job failures and outages

Operational Innovation:
• Prototype and test automation and orchestration tools in isolated or lab environments, including the use of agent-based systems or orchestration frameworks
• Apply Agentic AI or RPA solutions to operational use cases to drive down toil and increase responsiveness
• Collaborate with IT teams to optimize system capacity, improve resiliency, and modernize legacy scheduling patterns

Data Platform Reliability (Power BI / Microsoft Fabric):
• Support and administer data platform services such as Power BI Gateway and automated data refresh pipelines, with an emphasis on platform reliability and operational efficiency
• Troubleshoot and resolve data refresh failures, optimize refresh cycles, and contribute to system observability
• Identify and implement automation opportunities across evolving Microsoft Fabric components (e.g., Data Pipelines, Lakehouse, Real-Time Analytics), adapting responsibilities as platform capabilities expand
• Contribute to monitoring and deployment improvements across the data ecosystem using scripting and automation tools

Documentation & Collaboration:
• Document job dependencies, workflows, and operational runbooks with clarity and rigor
• Use tools like ServiceNow, LeanIX, Jira, and Asana to ensure job metadata and support documentation remain current
• Partner with application owners and infrastructure teams to align job execution with business needs

Qualifications:
• Proficiency in PowerShell, Python, and Bash, with a focus on systems automation and scripting best practices
• Experience managing enterprise job scheduling systems (AppWorx or similar) with attention to reliability and maintainability
• Hands-on experience experimenting with Agentic AI or RPA platforms to automate operational workflows is strongly preferred. Candidates should be able to describe proof-of-concept efforts or prototype use cases they’ve built, even if in non-production environments
• Familiarity with system monitoring and alerting tools; ability to build custom checks and observability dashboards
• Strong documentation habits and ability to model complex dependencies and recovery steps
• Power BI administration experience, including gateway and refresh management
• Bachelor’s degree in IT, Computer Science, or related field
• 3–5 years of experience in systems engineering, service reliability, or automation operations
• ITSM/ITIL process understanding preferred; ServiceNow experience a plus
 
*This job will be posted for 30 days from the posting date.
 
For Visiting Professor roles, we accept applications on an ongoing basis.
 
DeVry University offers benefit options for full-time colleagues, including:
• 401(k) and Roth Plan w/match
• Paid Tuition Program
• Remote and Flex Work Options
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Fertility Coverage
• Family and Domestic Partner Coverage
• Adoption Assistance
• Wellness Programs
• Volunteer Time Off
• Technology Stipend
• Career Development Programs
• Mental Health Care Programs
• Tax Savings Account (FSA and HSA)
• Short-Term/Long-Term Disability Coverage
• Life, Accident, AD&D, Critical Illness Insurance
• Auto/Homeowners, Pet and Legal Insurance
• Exclusive Discount Programs
• Family Care Services
• 2nd.MD, a virtual expert medical consultation service
• Health Advocacy Service
DeVry University offers benefit options for Visiting Professors, including:
• 401(k) and Roth Plan
• Paid Tuition Program
• Remote and Flex Work Options
• Paid Sick Time
• Technology Stipend
Benefits vary based on employment status. Part-time/Visiting Professors positions may not be eligible for all benefits.
 
We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.