DESCRIPTION

DEPARTMENT OVERVIEW:

The Mission of the San Diego Supercomputer Center is to translate innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them into cyberinfrastructure that solves practical problems across any and all scientific domains and societal endeavors. Cyberinfrastructure refers to an accessible, integrated network of high-performance computing, data, and networking resources and expertise, focused on accelerating scientific inquiry and discovery. With more than 250 employees and $30-50M of revenue a year, SDSC is a global leader in the design, development, and operations of cyberinfrastructure.

SDSC supports hundreds of multidisciplinary programs spanning a wide variety of domains, from earth sciences and biology to astrophysics, bioinformatics, and health IT. SDSC presently operates multiple large HPC systems ranging from a 120k x86 CPU core general purpose system to a system explicitly designed for Artificial Intelligence and Machine Learning, and a nationally distributed system open for all of academia to integrate with. SDSC offers research data services across the entire vertical stack from universally scalable storage to consulting services on FAIR, Big Data, and AI. SDSC offers a rich set of cloud services both on-premise, in the commercial cloud, and as hybrid services across both.

SDSC has three geographic scopes, a national scope supporting cyberinfrastructure for the entire US research and education community, a California scope with a special focus on convergence research that addresses the three dominant threats to CA: Drought, Fire, Earthquakes, and a campus scope focusing on advancing the global impact of SDSC by advancing the research objectives of the UC San Diego faculty, researchers, and students.

SDSC impacts researchers at scales from 1,000’s to Millions. SDSC annually trains thousands of researchers in cyberinfrastructure tools and software, and supports thousands of individual researchers via Unix accounts on its large HPC systems. SDSC was a leader developing the Science Gateway concept, and continues to be a global leader in its evolution. SDSC operates multiple major such gateways with user communities ranging from the tens of thousands to the millions. SDSC’s educational programs includes online courses that have been attended by more than a million students.

SDSC is committed to democratizing access to cyberinfrastructure across all of its geographic scopes. SDSC strives towards a culture that supports our employees to be their best, achieve their goals, and enjoy their lives, both professionally and personally.

The SDSC Sherlock Division delivers high performance production cyberinfrastructure and policy, business, operational, and technology advice supporting information technology research and development, for federal and state agencies, academia including University of California (UC), and industry partners. The Sherlock division operates Sherlock Cloud, which provides a managed hybrid Cloud solution that complies with Federal Information Security Management Act (FISMA), Health Insurance Portability and Accountability Act (HIPAA) and NIST Controlled Unclassified Information (CUI) compliant requirements.

The Division primarily focuses on building cyberinfrastructure for government, academia and research community that offers a multitude of high-touch, value-added, turnkey managed solutions that span Cloud Computing, Compliance, Cybersecurity, Data Management, Unified Analytics and Data Science. The experts in Sherlock Division have developed and deployed specific services designed to provide a solid and secure foundation for a wide range of research and business initiatives. The Division currently supports the Centers for Medicare andMedicaid Services (CMS), National Cancer Institute (NCI), and a number of academic and UC entities, and complies with the specific requirements of each organization.

POSITION OVERVIEW

Applies advanced IT architecture concepts and campus / medical center / OP or community-specific objectives to resolve highly complex issues with significant impact on the organization. Regularly works on issues where analysis of situations or data requires an in-depth evaluation of variable factors. Effectively selects criteria for evaluating results.

Reporting to the Sherlock Cloud and Systems Lead, the Cloud Engineer and DevOps Lead is primarily responsible for a broad range of activities in support of driving innovation within the core competencies of the division. Provide expert knowledge of public cloud computing platforms include AWS and Azure. Responsible for performance by monitoring, maintaining, administering, developing, and testing computing, network, and application components related to large, complex computing platforms used within the Sherlock Division. Work with researchers on strategies, then translate strategies into architectural goals. Confer with the Sherlock Division leadership to achieve consensus on technical architectural direction. Analyze and propose new systems and technologies. Balance workload across multiple Sherlock Division programs/projects. Develop and maintain a disaster recovery plan for systems as well as data recovery plan in the event of a natural disaster. Exhibit technical mastery of enterprise system management, cloud computing, network architecture, operations and security, Linux operating systems, emerging computing technologies and architectures and the interrelationship of all. Provide support to the development of multi-cloud computing infrastructure per the vision of the Sherlock Division.

As a Cloud and DevOps Engineer, responsible for designing and implementing turnkey solutions that span the entire data lifecycle pipeline including ingesting & integration, storage, compute and applications. Leverages public cloud platforms to orchestrate the necessary micro-services to provide fit-for-purpose solutions that support big data, analytics and dates science use cases. Works closely with internal and customer teams to create migration and testing plans for their existing applications utilizing standard cloud services that maximize automation and focuses on an infrastructure as code methodology. Explore new technologies and patterns to see how they can be used to improve our code base, and work with teams to vet and implement the new designs and enhancements.

Collaborates with Enterprise Architects, Infrastructure Engineers, Security Analysts, ENS Engineers, Business Analysts, Service Owners, Project Managers as well as leadership and customer stakeholders to provide cost-effective, functionally optimal and architecturally sound solutions to divisional needs driving toward implementation of the architecture road map in support of Sherlock's Strategic Plan. The Cloud Architect will promote implementation of industry best practices, perform vendor education and analysis, review business process/technology alignment, and develop roadmaps for business/technology optimization.

QUALIFICATIONS

• Bachelor's degree in related area and / or equivalent experience / training

• Advanced knowledge of computer security best practices and policies including demonstrated experience securing most complex server-based software. Advanced knowledge of computer security best practices and policies including demonstrated experience securing most complex server-based software. Demonstrated experience with HIPAA, FISMA and NIST Security Technical Implementation Guidelines.

• Understanding of DevOps practices and tools. Coding in Terraform, CloudFormation, Ansible, Python, bash, and reverse-engineering source code in other languages. Demonstrated skills associated with adapting equipment and technology to serve user needs.

• Demonstrated comprehensive understanding of how system management actions affect other systems, system users and dependent / related functions. Expert in cross-platform OS and application integration (Linux/Windows).

• Self-motivated and works independently and as part of a team. Demonstrates problem solving skills. Able to learn effectively and meet deadlines.

• Must be able to work effectively in a fluid, fast-paced agile environment.

SPECIAL CONDITIONS

• Background check required.