National University

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. 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.

DevOps Engineer, Data Platform

DevOps EngineerDevOps EngineerFull TimeRemoteTeam 1,001-5,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

100 days ago

Salary

$78.5K - $106.0K / year

Bachelor Degree3 yrs expEnglishAzureCloudDockerGoogle Cloud PlatformKubernetesPythonSQLTerraform

Job 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.

Job 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

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