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DevOps/Build and Release Engineering Scientist R12774

Please note: In order to be considered for this position, you must apply directly via the Workday website. 
https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/PICKLE-RESEARCH-CAMPUS/DevOps-Build-and-Release-Engineering-Scientist_R_00012774

Job Description:
The Space and Geophysics Laboratory (SGL) delivers multi-platform software suites to government customers for diverse applications, from real-time data-intensive network operations to standalone remote field systems, in both Linux and Windows environments.

We are seeking a DevOps Build and Release Engineer to improve the robustness of our software development and deployment processes for both regular releases and responses to dynamic customer needs. In this role, you will become an integral team member in a critical dependency chain, utilizing your skills and experience to architect and maintain vital CI/CD platform tools and services.
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Job Details:




Responsibilities


  • Design, implement and maintain build CI/CD systems for C++ and Python test automation and deployment.
  • Support regular software deliveries and hotfixes for responsive service to critical-needs customers.
  • Collaborate with and educate dependent teams on proper use of build and source control systems.
  • Work directly with software engineers, data analysts and operations teams to ensure coordinated releases.
  • Maintain documentation for APIs.
  • Serve as a gatekeeper for software standards and API documentation.
  • Participate in project reviews and technical interface meetings.
  • Provide technical assistance to users.
  • Document and address bug reports.
  • Other related functions as assigned.


Required Qualifications


  • Bachelor's degree in computer science, information science or related discipline.
  • Three years of similar DevOps experience
  • Experience with Bash, Python, C++ or C.
  • Experience with issue tracking tools like Jira.
  • Experience maintaining CI/CD pipelines using GitLab, Docker, or similar technologies.
  • Experience with Linux terminal-based environments and Windows.
Applicant must have a dynamic skill set, willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks and managing their time. The position will require attention to detail, effective problem solving skills and excellent judgment. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with diverse groups of clients. Able to work under pressure and accept supervision. Regular and punctual attendance.
US Citizen. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.





Preferred Qualifications


  • Master's degree in computer science, or ten years in similar role.
  • Cumulative GPS of 3.0 or higher.
  • Experience developing scientific software applications in C++ and Python.
  • Experience working in an Agile Software Development environment.
  • Experience maintaining and administrating Linux servers.
  • Experience with Powershell, and build/test in offline Windows environments.
  • Experience architecting and implementing CI/CD frameworks.
  • Experience with cloud services, like AWS.
  • Cumulative GPA of 3.0.


General Notes

An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.
Please mark "yes" on the application question that asks if additional materials are required. Failure to attach all additional materials listed below may result in a delay in application processing.
Visit our website (www.arlut.utexas.edu) for additional information about Applied Research Laboratories.