DevOps Engineer

City : Austin

State : Texas

Neos is Seeking a DevOps Engineer for a contract role with our client in Austin, TX (remote).

***REMOTE - ONLY CANDIDATES CURRENTLY RESIDING IN THE US WILL BE CONSIDERED***

No calls, no emails, please respond directly to the "apply" link with your resume and contact details.

Our client is seeking a DevOps Engineer They will be supporting the D2I (Data to Insights) initiative which started back in 2022.

Worker's responsibilities:

Worker will work within D2I and the Platforms Group to support and deliver the Data Hub infrastructure and related legacy applications that underlie campus' ability to access meaningful information. The DevOps Engineer builds and maintains cloud infrastructure and automates IT processes supporting the University's data ecosystem. This role provides advanced system and application administration, including support for clustered applications and load-balanced environments, and develops optimal system configurations to meet institutional needs for secure, high-performance data systems. The position ensures compliance with University of Texas at Austin information security standards and applicable regulatory requirements, and designs, implements, and documents processes supporting cloud infrastructure, on-premise infrastructure, and application deployment. The DevOps Engineer also provides expert troubleshooting, root-cause analysis, and resolution of cloud and DevOps-related issues.

Cloud DevOps (40%):

• Build and maintain cloud infrastructure supporting the University data ecosystem.
• Ensure compliance with University of Texas at Austin Information Security Office policies and industry best practices.
• Design, develop, and document processes for cloud infrastructure and application deployment.
• Monitor, support, and optimize cloud and on-premise applications to ensure high availability and service continuity.
• Administer cloud and on-prem identity and access management systems.
• Support clustered application environments and load-balancing configurations to maintain scalability and performance.

Automation & CI/CD (20%):

• Collaborate with technical teams to automate validation, monitoring, and performance of data processes.
• Design and implement CI/CD pipelines in partnership with data engineering teams.
• Implement Infrastructure as Code using AWS CDK and Terraform.
• Support modern data transformation workflows using DBT and platforms such as Databricks.

Systems Administration (20%):

• Collaborate Windows and Linux system administration, including configuration, maintenance, and patching.
• Administer and maintain Cognos and Tableau Business Intelligence platforms.
• Support high-availability clustered services and load-balanced environments.
• Participate in formal change management processes to coordinate and communicate system updates.

Communication & Collaboration (20%):

• Work independently and collaboratively with cross-functional teams to deliver secure, scalable technical solutions.
• Communicate project status, risks, and issues effectively to stakeholders.
• Promote collaborative DevOps practices and continuous improvement within the team.
• Provide mentorship, peer coaching, and technical guidance to junior engineers.
• Contribute to a positive, inclusive, and respectful team environment that supports engagement and professional growth.

Required Experience and Skills

• 3-10 years of general DevOps engineering experience
• 2-4 years of experience administering Cognos environments
• 2-4 years of Tableau administration experience
• 2-4 years of Windows and Linux system administration experience
• 2-4 years of hands-on experience with AWS and Databricks
• 2-4 years of experience using Infrastructure as Code tools, specifically AWS CDK and Terraform
• 2-3 years of experience with DBT (Data Build Tool)
• Demonstrated experience supporting clustered applications, high-availability architectures, and load-balanced environments
• Bachelor's degree in computer science, Information Technology, Engineering, or a related field, or equivalent combination of education and experience

Preferred Experience and Skills

• Experience supporting higher education or large enterprise data platforms
• Familiarity with enterprise identity management, security frameworks, and compliance standards
• Experience mentoring or providing technical leadership to junior engineers

#DICE

#LI-MB