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Cloud Computing Trainee Jobs in California (NOW HIRING)

Cloud Computing Trainee information

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$13

$20

$35

How much do cloud computing trainee jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for cloud computing trainee in California is $20.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $23.94 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on as a Cloud Computing Trainee?

As a Cloud Computing Trainee, you'll typically assist with migrating applications to the cloud, setting up virtual machines, and configuring cloud-based storage and networking solutions. You may also be involved in monitoring cloud resources, troubleshooting basic technical issues, and supporting more senior engineers with project implementation. Additionally, you'll have opportunities to participate in hands-on training, workshops, or shadowing team members on real client projects. This role is designed to help you build practical skills while contributing to meaningful cloud initiatives alongside a supportive technical team.

What are the key skills and qualifications needed to thrive in the Cloud Computing Trainee position, and why are they important?

To thrive as a Cloud Computing Trainee, you need a foundational understanding of networking, operating systems, and programming, often backed by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and the pursuit of relevant certifications are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills set top candidates apart. These skills are crucial for adapting to new technologies, collaborating with technical teams, and succeeding in fast-paced cloud environments.

What is a Cloud Computing Trainee job?

A Cloud Computing Trainee job is an entry-level role designed to help individuals gain hands-on experience with cloud technologies. Trainees typically learn about cloud platforms like AWS, Azure, and Google Cloud, focusing on concepts such as virtualization, networking, security, and cloud deployment. The role often involves assisting with cloud infrastructure setup, troubleshooting, and automation tasks under the guidance of experienced professionals. This position is ideal for those looking to start a career in cloud computing, as it provides foundational knowledge and practical skills. Many trainees eventually transition into roles such as Cloud Engineers, DevOps Specialists, or Solutions Architects.

What are the most commonly searched types of Cloud Computing jobs in California? The most popular types of Cloud Computing jobs in California are:
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Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological &...

Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological &...

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

Posted 29 days ago


University Of California Santa Barbara rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

173rd of 537 rated colleges and universities


Job description

Position description
The Bowers Women's Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and neuroinformatics infrastructure. This individual will oversee data management, quality control, and analytic pipeline development for large-scale MRI and multimodal datasets across federally and privately funded studies.
This position is designed for a scholar who can build reproducible, scalable workflows while fostering a collaborative, open-science culture. The successful candidate will work closely with PIs, trainees, and research coordinators to ensure that WBHI's data ecosystem is rigorous, secure, and future-facing.
This role offers the opportunity to shape the informatics backbone of a growing research consortium focused on advancing women's brain health across the lifespan.
Informatics Leadership & Strategy
Develop and oversee WBHI's data architecture and informatics strategy across multiple grants and study sites.
Establish best practices for data governance, documentation, harmonization, and reproducibility.
Lead the design and implementation of scalable, modular analytic pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics).
Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization).
Data Management & Quality Control
Implement standardized data ingestion, organization (e.g., BIDS-compliant), and version control systems.
Oversee automated and manual quality control (QC) pipelines for MRI and related datasets.
Develop dashboards or reporting tools for monitoring data completeness, QC metrics, and study progress.
Ensure compliance with institutional, federal, and sponsor data security and sharing requirements.
Pipeline Development & Advanced Analytics
Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow).
Integrate established neuroimaging tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams.
Support advanced modeling approaches including network analysis, multivariate methods, machine learning, and longitudinal modeling.
Contribute to data harmonization across multi-site studies and large consortia datasets.
Team Building & Mentorship
Supervise data analysts and research staff as the informatics team grows.
Train students, postdocs, and staff in best practices for data management and reproducible research.
Foster a collaborative, transparent, and open-science culture aligned with leading neuroinformatics groups.
Partner with investigators on grant applications, including drafting data management and analysis plans.
Collaboration & Dissemination
Contribute intellectually to manuscripts, conference presentations, and grant proposals.
Engage with national and international neuroimaging and data science communities.
Promote open science principles, including code sharing, documentation, and reproducible workflows.
Qualifications
Basic qualifications (required at time of application)
-PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field.
Additional qualifications (required at time of start)
-5+ years of experience working with neuroimaging data (structural MRI, fMRI, diffusion MRI).
One or more years of Demonstrated expertise in:
Python and/or R
Unix/Linux environments
Workflow automation and pipeline development
Version control (Git)
Preferred qualifications
-Excellent communication skills.
-Proven ability to manage complex datasets across multiple projects.
-Experience leading or contributing to large-scale neuroimaging initiatives or consortia.
-Familiarity with multimodal integration (e.g., imaging + clinical + hormonal + genetics).
-Experience with cloud computing platforms (e.g., AWS, GCP) and containerization.
-Background in longitudinal modeling or machine learning applications in neuroimaging.
-Experience supervising technical staff or trainees.
-Experience implementing BIDS standards and MRI quality control workflows.
-Strong understanding of reproducible research principles and computational best practices.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Samples of Scholarly Work - 1-3 samples of published, in print, submitted, or in-preparation scholarly work (article, book chapter, book, writing sample, etc.). - co-authorship on peer-reviewed publications

Reference requirements
  • 3 required (contact information only)

References for finalist(s) may be contacted by phone/email after interviews.
Apply link: https://recruit.ap.ucsb.edu/JPF03071
Help contact: pamelawilks@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Remote or Santa Barbara, CA