Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary IPAC at Caltech has an opening for a Data Systems Dev/Ops Engineer to support NASA and Caltech astronomy missions and exploitation of IPAC's vast archives of astronomical data, in fulfillment of our mission to enable transformative research in astrophysics and planetary science.
Caltech is more than a world-renowned science and engineering research and education institution, it is a communitya community of curious and passionate individuals who collaborate to understand and solve complex scientific and societal challenges. Caltech is an award-winning workplace and one of the best places to work in the greater Los Angeles area. We offer an exciting and dynamic work environment, exceptional career development opportunities, competitive pay programs, great benefits, and the opportunity to participate in many campus programs and activities. Exceptional employees are critical to Caltech's success.
IPAC, part of the Physics, Math, and Astronomy Division at Caltech (www.caltech.edu), provides science operations, user support, data and archive services, and scientific vision to maximize discovery with observatories both in space and on the ground.
IRSA (http://irsa.ipac.caltech.edu) is the steward of scientific data sets, ancillary data products, and documentation delivered by NASA's Infrared and Sub-millimeter astrophysics missions.
Life at Caltech/IPAC
IPAC is located on the campus of the California Institute of Technology in Pasadena, California by the foothills of the San Gabriel Mountains. Caltech is small, but has an extraordinary science impact, with 39 Nobel Prizes awarded to faculty and alumni. Caltech manages the Jet Propulsion Laboratory for NASA, the leading US center for the robotic exploration of the Solar System. Caltech also operates large-scale research facilities such as the Palomar and Keck Observatories, and LIGO, which in 2016 observed gravitational waves from colliding black holes for the first time.
People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and lasting relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. The program provides a strong base of coverage for you and your dependents, and the ability to choose the plan and the level of coverage that best meet your needs. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.
We are an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Caltech is a VEVRAA Federal Contractor. Click here to read more about Equal Employment Opportunity (EEO).
Job Duties As an IPAC Data Systems Dev/Ops Engineer, you will work with the engineering and scientific staff on tasks which may include: - Development and operation of IPAC compute, storage and network infrastructure, employing both cloud and local data center technologies - Devising and implementing solutions to systems challenges involving performance, capacity and/or budget, to help supported projects achieve science objectives - Researching appropriate technologies for new project proposals, and assisting in preparation of cost estimates for system deployment and operations - Adapting science data analysis and archiving functions to cloud environments
You will apply your understanding of the full data systems hardware and software technology stack in helping design, develop and operate IPAC's compute and network infrastructure. Your familiarity with both local data center and cloud technologies will help you create effective approaches to achieve science objectives within technical, budget, and operations constraints. Your work will involve petabyte-scale image storage and processing, multi-billion row databases, and web services for accessing and processing astronomical datasets. You will also work with scientists and other developers to help interpret and implement project requirements, and document the work that you've accomplished.
Basic Qualifications If you have the following in your background, then we want to hear about your interest in joining our team: - Bachelor's or equivalent degree in Computer Science, Computer Engineering, Information Sciences, or related field, or equivalent combination of training and experience - 3 years of experience or equivalent training/education in software development - Experience as a Unix systems administrator, and familiar with data center hardware specification, operation and management - Experience as a software developer in a Unix/Linux environment using C/C++, Python, and/or Java - Familiarity with software and systems configuration management principles and tools, source code version control (e.g. git/github) and issue/bug tracking systems (e.g. Jira)
Preferred Qualifications Beyond these basic qualifications, there are a set of skills and experiences which will add to your ability to contribute to the roles and responsibilities of an IPAC Data Systems Dev/Ops Engineer. The following might give you a head-start here, but even if these do not describe you or your experience, we would still like to hear from you: - Master's or equivalent degree in Computer Science, Computer Engineering, Information Sciences, or related field - Experience with server virtualization and cloud services such as AWS, GCP, Azure - Expertise in large dataset management, processing, and analysis techniques - Experience with software containerization and deployment technologies, such as Docker and Kubernetes