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  3. SENIOR CLOUD ENGINEER

SENIOR CLOUD ENGINEER

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Scripps Research logo

SENIOR CLOUD ENGINEER

Scripps Research

135,000–150,000 / Year

Location

San Diego, CA

Experience

Senior

Posted

Jul 18, 2026

Apply by

August 17, 2026

Applicants

0

Early applicantEasy applyFull-timeHybrid

Sign in to apply on web or download the app for more options.

Job Description

ABOUT US: Scripps Research is a nonprofit biomedical institute ranked as one of the most influential in the world for its impact on innovation. We celebrated our 100-year legacy in 2024. This significant milestone marks a century of seminal discoveries in immunology, infectious diseases (such as COVID-19, flu, HIV), neuroscience, heart disease, cancer, and more. Located in La Jolla, California, the institute houses six research departments, multiple Nobel laureates, a top-ranked graduate school and a leading postdoctoral training program. Scripps Research encompasses two elite and highly innovative institutes, the Calibr-Skaggs Institute for Innovative Medicines and Scripps Research Translational Institute, which merge foundational studies in biology, chemistry and computer science with translational science to produce pioneering drugs and advances in digital and precision medicine. Together, we cultivate new scientific leaders and expand the frontiers of knowledge to deliver medical breakthroughs impacting human health around the globe. If you have a passion for making a difference, this could be your opportunity to join our transformative team. POSITION TITL E: Senior Cloud Engineer POSITION SUMMARY: The Senior Cloud Engineer will be responsible for the design, development, and maintenance of cloud and research computing infrastructure at Scripps Research Institute, enabling scalable, secure, and high-performance environments for scientific workloads. RESPONSIBILITIES AND DUTIES: - Design, develop, and maintain cloud infrastructure (AWS, Azure, and/or GCP) to support Scripps' research computing needs. - Collaborate with labs and faculties to understand their computing needs and provide appropriate solutions. - Implement and optimize cloud storage and workloads. - Work closely with other HPC and IT Services team members to ensure compatibility, scalability, and security. - Design and manage AI/ML compute infrastructure, including GPU-accelerated cloud instances and managed ML platforms. - Stay current on cloud, AI, and emerging compute technologies and proactively recommend solutions. - Develop and maintain documentation of systems and processes. - Details of established essential functions for this position will be addressed/discussed during the interview process. - "All applicants must be authorized to work in the U.S. for Scripps Research. The Institute will not sponsor or take over sponsorship of an employment Visa for this position." REQUIREMENTS: - BA/BS in computer science or related field desirable but not required. - 5+ years in a senior engineering role focused on cloud infrastructure, preferably in a research or academic environment. - Demonstrated expertise designing and operating infrastructure in one or more of AWS, Azure, or GCP - Proficiency in scripting and automation languages (Python, Bash) and IaC tools (Terraform) - Experience designing AI/ML compute infrastructure (GPU instances, SageMaker) - Experience with container orchestration (Kubernetes, Docker, Singularity) and configuration management (Ansible) - Knowledge of identity and access management (IAM), APIs, and web services - Experience with SQL a plus - Experience with HPC environments, job schedulers (Slurm, PBS), HPC-oriented container runtimes (Singularity/Apptainer), parallel file systems (Lustre, GPFS) a plus - While subject to change based on business needs, this is an on-campus position requiring a minimum of 4 days per week working onsite from our La Jolla campus, with flexibility to work 1 day per week remotely from home. COMPENSATION: The expected hiring range for this position is $135,000 to $150,000/annually, commensurate with experience. Consideration will be given to experience that exceeds the listed requirements. COMPREHENSIVE BENEFITS INCLUDE: - Employer Contributed Retirement Plan – Depending on eligibility, employees receive an employer contributed retirement plan (no employee contribution required) and the option to contribute to a 403(b) (which is similar to a 401(k) using your own pre or post-tax dollars) - Full Suite of Health and Welfare plans including three medical plan options (including an HSA available option), dental, vision, life insurance, disability, EAP and more - Access to Flexible Spending Accounts (Medical/Dependent Care) - Competitive vacation and sick leave policies - Free, on-site parking The above statements describe the level of work performed and expected in general terms. The statements are not intended to list all the responsibilities, duties and/or skills required of employees so classified, and the content herein is subject to change due to the business needs of Scripps Research, with or without notice. Furthermore, nothing in this job description shall be interpreted to be in conflict with or to eliminate or modify in any way the employment-at-will status of Scripps Research staff. EEO Statement: The Scripps Research Institute is an Equal Opportunity Employer. We promote diversity of thought, culture, and background in the fields of science. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Key Responsibilities

  • Design, develop, and maintain cloud infrastructure on AWS, Azure, or GCP.
  • Collaborate with labs and faculties to understand computing needs and provide solutions.
  • Implement and optimize cloud storage and workloads.
  • Work with HPC and IT Services teams to ensure compatibility, scalability, and security.
  • Design and manage AI/ML compute infrastructure, including GPU-accelerated instances and managed ML platforms.
  • Stay current on cloud, AI, and emerging compute technologies and recommend solutions.
  • Develop and maintain documentation of systems and processes.

Skills Required

AWSAzureGCPPythonBashTerraformKubernetesDockerSingularityAnsibleIAMAPIsWeb servicesSageMakerGPU instancesCollaborationCommunicationSQLHPC environmentsSlurmPBSLustreGPFSApptainer

Benefits

  • Employer Contributed Retirement Plan
  • 403(b) retirement option
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • Employee Assistance Program (EAP)
  • Flexible Spending Accounts
  • Vacation leave
  • Sick leave
  • Free on-site parking

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Job Overview

Salary

135,000–150,000 / Year

Currency: USD

Job Type

Full-time

Experience

Senior

Location

San Diego, CA

Application Deadline

August 17, 2026

Total Applicants

0

About Scripps Research

Scripps Research logo

Scripps Research is a leading company in the Technology sector, known for innovation and employee-centric culture.

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