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Senior DevOps Engineer - Local to Austin, TX Only

  • Full Time, onsite
  • Digerati Systems Inc
  • Hybrid2 Days Onsite Per Week, United States of America
Salary undisclosed

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Location: Austin, TX Hybrid - 2 days onsite, Candidates must be local

(Resume and Photo ID required:For the safety and security of our clients and their systems, any candidate resume submitted must also include a photo ID of the candidate. Any candidate resume submitted without a photo ID will be eliminated from potential selection for the role.) Please place this at the beginning of the resume when submitting the resume.

ITSAC Job Title: Dev/Ops Engineer III

Total Hours: 2080

Service Term Expected: 12-month duration

Work hours and Location: 8AM 5PM, 6230 E Stassney Ln, Austin, TX 78744

Candidates must be local as they will need to be onsite 2 days a week one of those days are Tuesday.

TxDot work to be completed:

The DevOps engineer at this level is responsible for the various TxDOTCONNECT code build processes. This role has extensive knowledge in automation, containerization, and continuous integration and continuous delivery pipelines built to support TxDOTCONNECT release and deployment activities.

Minimum Years of Experience, Skills and Qualifications:

8+ Experience working with IT developers to facilitate coordination among operations, development, and testing functions

8+ Experience working to automate and streamline integration and deployment processes

8+ Experience with coupling tighter alignment between IT operations and businesses

8+ Experience implementing cloud-based platforms to enhance product offerings, leveraging the cloud for scalable, secure data storage and processing.

Preferred Skills:

3+ DevOps and Automation: Knowledgeable in common DevOps tools such as GitLab, Jenkins, and container technologies, applying automation and IaC to streamline cloud infrastructure management.

3+ DevOps & CI/CD: Experience with Jenkins, GitHub, GitLab. Implements IaC, automation, and containerization with Docker, and Kubernetes, and integrates edge computing strategies for optimized performance and scalability.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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