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Systems Infrastructure Lead

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Information Technology
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JG-Joint Genome Institute
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86184 Requisition #
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The Department of Energy’s (DOE) Joint Genome Institute (JGI) Division at Lawrence Berkeley Lab (LBNL) has an exciting opportunity for a talented systems architect to help build our high-performance hardware and software infrastructure.  The Systems Infrastructure Lead will report to the Chief Informatics Officer at the JGI and will be part of the Data Science and Informatics Department. As a DOE User Facility, the JGI’s mission is to support, enable, and amplify the scientific output of the environmental genomics community.  As the demand for sequencing and *omics data has increased, the complexity of the infrastructure needed to support this effort has increased. The JGI relies on high-performance computing systems managed by the National Energy Research Scientific Computing (NERSC) facility, as well as user and data management systems run in Berkeley Lab’s IT Division.  The Systems Infrastructure Lead will be responsible for ensuring high availability of the hardware that supports mission-critical systems, collaborating with JGI’s partners at Berkeley Lab, and for architecting a strategy for infrastructure that can support JGI’s growth over the next 5-10 years. This role will be a unique blend of hands-on technical work and strategic planning for an incredibly dynamic workload.  This position also analyzes the characteristics of JGI application codes and their usage on HPC/IT systems and collaborates with NERSC/IT to monitor system utilization. He/she is responsible for managing user data collected JGI compute and data systems, as well as assisting with operational and system-level data.


What You Will Do:

  • Lead (or collaborate on) systems programming projects to maintain and enhance system functionality, in areas such as large systems monitoring, systems, and workload management and file systems and I/O subsystems.

  • Develop a strategic plan for JGI infrastructure in partnership with the CIO and JGI leadership.

  • Develop and use tools to manage task automation on the computational systems.

  • Work independently and with JGI’s infrastructure partners (including NERSC and LBL IT) to diagnose and fix system problems, help analyze system issues and develop and implement workarounds and/or patches for software bugs.

  • Install, test, maintain and manage the JGI computational systems.

  • Lead the evaluation of systems technology and system architecture to provide input for HPC system procurements and DOE technology roadmaps out past the next decade.

  • Provide leadership and technical guidance to the Data Science and Informatics Department as well as JGI staff.

  • Serve as the work lead for the staff responsible for maintaining JGI infrastructure.

  • Recommend and lead implementation and deployment efforts for system improvements that enhance reliability, stability, usability, performance and security.

  • With the CIO, manage the budget for JGI software and hardware infrastructure.

  • Identify and evaluate emerging technologies and explore new features that would create new capabilities and enhance system performance and usability.

  • Participate in working/user/advocacy groups and represent JGI and its interests to the broader DOE community.


What is Required:

  • Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience.

  • Minimum of 4 years of experience with systems programming or management of large-scale UNIX based systems in a high-performance computing (HPC) or warehouse-scale computing (WSC) environment.


Additional Desired Qualifications:

  • Proficiency in technical and collaboration skills needed to create and deploy innovative ways of allowing our diverse user base to effectively utilize the unique resources that JGI relies upon.

  • Experience with C and shell/PERL/Python systems programming as well as with processor, interconnect, and storage technologies for High-Performance Computing systems.

  • Experience with installation, configuration, monitoring, and tuning of workload management systems such as SLURM.

  • Experience with the installation, operation, and testing of network infrastructure components, including switches and firewalls.

  • Experience in the Research and Education or Higher Education sectors.

  • Knowledge of configuration management systems such as Puppet and Ansible.

  • Demonstrated ability to work independently as well as collaboratively in large projects, and contribute to an active intellectual environment.

  • Excellent oral and written communication skills.

  • Ability to understand user needs and show initiative, tact and good judgment in developing solutions to problems.

  • Desirable qualifications include experience in one or more of the following:

    • Performance variability

    • Workflow managers

    • Cloud-based computing – IaaS, PaaS, SaaS

    • Specialized networking (infiniband, high-speed networks)

    • Lustre or other parallel file systems

  • Demonstrated excellent systems programming skills and strong knowledge of UNIX/Linux internals.

  • Demonstrated ability to build and support complex web and computing infrastructure

  • Demonstrated ability to successfully lead complex projects

  • Experience with strategic planning of complex infrastructure to support life sciences workloads

  • Demonstrated ability to provide technical guidance, mentoring, and leadership to staff


The posting shall remain open until the position is filled.


Notes:

  • This is a full-time, career appointment.

  • Full-time, M-F, exempt (monthly paid) from overtime pay.

  • Salary is commensurate with experience.)

  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

  • Work will be primarily performed at DOE Joint Genome Institute (JGI) — 2800 Mitchell Dr., Walnut Creek, CA.


Berkeley Lab (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.


Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4.  Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."


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Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."

 

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