Engineering Scientist

Job Posting Title:

Engineering Scientist

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Hiring Department:

Texas Advanced Computing Center

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

PICKLE RESEARCH CAMPUS

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Job Details:

General Notes 

The Texas Advanced Computing Center (TACC) at The University of Texas at Austin is one of the leading supercomputing centers in the world, supporting advances in computational research by thousands of researchers and students. TACC staff help researchers and educators use advanced computing, visualization, and storage technologies effectively, and conduct research and development to make these technologies more powerful, more reliable, and easier to use. TACC staff also educate and train the next generation of researchers, empowering them to make discoveries that advance knowledge and change the world.

The Texas Advanced Computing Center fosters a culture of innovation, passion, and fun by encouraging staff members to actively collaborate to investigate the latest technologies, team up for charities, and celebrate successes together. TACC promotes a healthy workplace by helping employees achieve balance between their personal and professional lives to increase employee engagement, job satisfaction, and overall well-being. 

If you are not sure that you’re 100% qualified, but up for the challenge – we want you to apply. We believe skills are transferable and passion for our mission goes a long way.

Purpose

Position will join our team of research scientists and developers in the Advanced Computing Interfaces department of the Texas Advanced Computing Center (TACC).  As part of the Cloud and Interactive Computing group (CIC), this position will play a leading role in researching the design, implementation and operation of cloud-based platforms delivering computational tools to the research computing community. Initially, the focus of this position will be to oversee our Java based projects but a strong foundation in multiple languages and the ability to add to your technology skillset is of utmost importance. Successful candidates will leverage prior experience in distributed system design and cloud service development to help us grow platforms to meet the needs of current and future projects.

Responsibilities

• Lead and contribute to the evolving design, implementation, and operation of major components of the Tapis API platform.

• Contribute to the evolution and improvement of devops processes across CIC and TACC.

• Explore and evaluate emerging technologies and ideas for their potential application in our projects

• Contribute to the preparation of proposals to contracting agencies.

• Determine project requirements, define procedures, and develop strategies to meet project deliverables and achieve project goals. This includes coordinating and collaborating with fellow researchers locally at UT and nationally.

• Disseminate research findings through various channels including publications, journal articles, and books as appropriate.

• Available to attend conferences to promote the work being done in CIC and participate in providing hands-on training sessions to promote the use of Tapis and gateways as teaching tools.

• Assist in developing comprehensive documentation and training materials both internally for the project and for external stakeholders.

• Leverage your experience to provide mentorship and guidance to staff and interns, as deemed appropriate, sharing knowledge and best practices to support their professional growth and development.

• Demonstrate effective communication skills by clearly articulating technical concepts to various audiences, fostering collaboration within the team, and presenting research findings in a compelling manner.

• Foster a culture of positive team citizenship by actively engaging in collaborative problem-solving, supporting colleagues, and contributing to a positive work environment.

 Required Qualifications 

• Bachelor’s degree in computer science, information science, mathematics, or a computational science or engineering discipline.

• 10+ years of relevant professional experience.

• Recent, demonstrable expertise in the Java programming language as well as associated technologies (such as Maven, JDBC, Flyway, JaxRS, Tomcat, Jackson, testNG, etc).

• Demonstrated ability to design and implement REST APIs and other web-friendly tools and technologies.

• Experience working in a Linux/UNIX command line environment including basic shell scripting and system configuration.

• Demonstrated experience building, debugging, and maintaining distributed systems.

• Demonstrated experience consuming cloud technologies in support of real world applications.

• Experience implementing transactional use cases using relational and noSQL databases (such as Postgres, MySQL, MongoDB, etc).

• Deep familiarity with unit testing, integration testing, distributed source control management, and build and test systems.

• Demonstrated experience with event driven messaging systems (such as RabbitMQ, ZMQ).

• Superior oral presentation and communications skills.

• Demonstrated ability to work independently under established deadlines and as part of a team.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications 

• Master’s degree and/or advanced courses leading to a Ph.D. degree in computer science, information science, mathematics, or a computational science or engineering discipline.

• Fifteen years of relevant experience.

• Research experience or innovation-driven development.

• Strong interest in supporting open, reproducible science and creating transformational technology to accelerate the rate at which it is conducted.

• Experience with Docker, Kubernetes and/or other container technologies.

• Familiarity with web security technologies (such as OAuth2, OIDC, SAML, Radius, MFA, JWT).

• Experience with Python and/or Rust programming languages.

• Familiarity with identity and access management technologies (such as LDAP, OAuth scopes, ACL, role-based entitlements).

• Practical experience with High Performance Computing and its applications.

• Experience implementing large data processing solutions.

• Demonstrated experience implementing Continuous Integration/Continuous Delivery pipelines.

• Familiarity with advanced software solutions, such as distributed caches, data mining, machine learning algorithms, event processing on streaming data, etc.

Salary Range

$105,000 + depending on qualifications

Working Conditions

• Typical office or remote work environment

• Repetitive use of a keyboard

Required Materials

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.  Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.  You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States.  Documents need to be presented no later than the third day of employment.  Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English) [PDF]
• E-Verify Poster (Spanish) [PDF]
• Right To Work Poster (English) [PDF]
• Right To Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.