DevOps Engineer, Data Platform

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National University

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Education • B2C • Social Impact

National University is a higher education institution dedicated to providing accessible and quality education to a diverse range of students, including non-traditional learners and military-affiliated students. It offers a variety of undergraduate, graduate, and doctoral programs across multiple disciplines such as education, business, healthcare, social sciences, and technology. National University emphasizes a supportive learning environment and innovative teaching methods, aiming to empower students and enrich their academic and professional journeys.

1001 - 5000 employees

📚 Education

👥 B2C

🌍 Social Impact

📋 Description

• 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.

🎯 Requirements

• 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. • 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.

🏖️ Benefits

• Comprehensive well-being benefits for you and your family