DevOps Engineer, Data Platform

Compensation Range:

Annual Salary: $78,496.00 - $105,974.00

Position Summary

The DevOps Engineer is a critical hands-on role responsible for building, automating, and managing the university's modern data platform. They will partner directly with data scientists and engineers to create a scalable, reliable, and secure environment, enabling the rapid development and deployment of analytics and machine learning models.

The DevOps Engineer will own our CI/CD processes, primarily using GitHub Actions, and will be responsible for establishing and scaling our Infrastructure as Code (IaC) practices for Microsoft Fabric and the wider Azure ecosystem. They will ensure our platform is robust, cost-efficient, and optimized to support the university's data-driven mission.

Essential Functions:

• Designs, builds, and maintains our CI/CD pipelines using GitHub Actions for data engineering workloads, analytics, and machine learning model deployment.
• Develops, deploys, and manages our Infrastructure as Code (IaC) to automate the provisioning and configuration of Azure and Microsoft Fabric resources (e.g., using Bicep, ARM Templates, or Terraform).
• Administers, monitors, and optimizes our core data platforms, including Microsoft Fabric and Azure Synapse Analytics, ensuring high availability and performance.
• Implements and manages comprehensive monitoring, logging, and alerting solutions to ensure platform health, security, and cost-efficiency.
• Collaborates closely with data scientists and engineers to troubleshoot, optimize data pipelines, and support the deployment of ML models (using tools like MLFlow).
• Implements and enforces data governance and security best practices for identity, access, and data protection within the cloud environment.
• Assists in managing and integrating with secondary cloud infrastructure on Google Cloud Platform (GCP) as needed.
• Creates and maintains high-quality documentation for our platform architecture, automation, and operational procedures.
• Performs other duties as assigned.  

Supervisory Responsibilities: N/A

Requirements:

Education & Experience:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent combination of education and experience, Master’s degree preferred.
• Three (3) to Five (5) years of hands-on experience in a DevOps, SRE, or Data Engineering role with a strong focus on automation.
• All skills, abilities and education will be considered for minimum qualifications.

Competencies/Technical/Functional Skills:

• Strong, demonstrable experience with the Microsoft Azure cloud platform.
• Proven experience building and managing CI/CD pipelines, preferably with GitHub Actions.
• Hands-on experience with Infrastructure as Code (IaC) tools (e.g., Bicep, ARM templates, Terraform).
• Proficiency in scripting languages (e.g., Python, PowerShell, Bash).
• Experience with data platforms like Azure Synapse, Microsoft Fabric, or Databricks is highly desirable.
• Working knowledge of SQL and data warehousing/data lake concepts.
• Familiarity with Google Cloud Platform (GCP) is a plus.
• Experience with containerization (Docker, Kubernetes) is a plus.
• A strong "automation-first" and "infrastructure-as-code" mindset.
• Excellent problem-solving and troubleshooting skills.
• Strong written, oral communication, and interpersonal skills.
• Strong project management, organizational, and prioritization skills.
• Ability to work independently, manage competing priorities, and collaborate effectively with technical and non-technical stakeholders.
• Embraces diverse people, thinking and styles.

Location: Remote, USA

Travel: up to 10% travel

#LI-Remote

Candidate receiving offers will be offered a salary/pay rate commensurate with experience that vary based on a candidate’s qualifications, skills, and competencies.  Absent exceptional circumstances, candidates will be offered a salary within this range for this position. The minimum salary will be offered based on the minimum exemption threshold based on state of residency. Base pay is one component of National University’s total rewards package, as we are dedicated to supporting the needs of the “whole you” with our holistic approach to employee benefits by offering comprehensive well-being benefits for you and your family.  For full details about our benefit plan offerings, please visit benefits.nu.edu. For Part-time benefits, please click here.

National University is committed to maintaining a high-quality workforce representative of the populations we serve. National University employs more than 4,500 faculty and staff and serves over 45,000 students. We are united in our mission to meet the global education demands of the 21st Century and are dedicated to creating a supportive academic and work environment that allows students, faculty and staff to develop their interests and talents while experiencing a sense of community. With programs available both online and at our many campus locations, National University is a leader in creating innovative solutions to education and meeting the needs of our student population, including adult learners and working professionals.

National University (NU) is proud to be an equal opportunity employer and does not discriminate against any employee or applicant per applicable federal, state and local laws. At NU, a mix of highly talented, innovative and creative people come together to make the impact of a lifetime for each of our student learners. All qualified applicants will receive equal consideration for employment, education, and admission at National University.