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Apprentice Cloud Computing Trainee Jobs (NOW HIRING)

Auditor - Technology Applications

Cary, NC · Hybrid

$85K - $120.75K/yr

... cloud computing. You will participate in audits in accordance with the audit methodology ... apprenticeship; relevant professional certifications (e.g. CISA, CISSP, CCAK, CCSP, ITIL, COBIT ...

... and cloud computing sectors, to build awareness of OCI and highlight Oracle's commitment to ... apprenticeship programs, and to establish pipelines for future cloud and technical talent.

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Apprentice Cloud Computing Trainee information

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How much do apprentice cloud computing trainee jobs pay per hour?

As of May 31, 2026, the average hourly pay for apprentice cloud computing trainee in the United States is $19.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apprentice Cloud Computing Trainee, and why are they important?

To thrive as an Apprentice Cloud Computing Trainee, you need a foundational understanding of IT concepts, networking, and basic programming, often supported by coursework or technical certifications like CompTIA or AWS Cloud Practitioner. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), virtualization tools, and version control systems is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help you adapt and contribute to team projects. These skills and qualities are important for successfully navigating cloud environments and building a solid base for a future career in cloud computing.

What are some common challenges faced by Apprentice Cloud Computing Trainees, and how can they be overcome?

Apprentice Cloud Computing Trainees often face challenges such as adapting to rapidly evolving cloud technologies, managing complex multi-cloud environments, and understanding security best practices. To overcome these hurdles, trainees should actively participate in hands-on labs, seek mentorship from experienced team members, and regularly review official documentation to stay current. Collaborating with cross-functional teams and engaging in continuous learning through certifications or workshops can also help trainees build confidence and technical expertise.

What is an Apprentice Cloud Computing Trainee?

An Apprentice Cloud Computing Trainee is an entry-level professional who is learning the fundamentals of cloud computing through a combination of on-the-job experience and formal instruction. This role typically involves working under the guidance of experienced cloud engineers or architects to gain hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Apprentices may assist with tasks like setting up virtual machines, managing cloud storage, and supporting cloud-based applications. The goal is to develop the technical and practical skills needed to pursue a career in cloud computing.

What is the difference between Apprentice Cloud Computing Trainee vs Cloud Support Technician?

AspectApprentice Cloud Computing TraineeCloud Support Technician
Required CredentialsBasic IT knowledge, often pursuing certifications like AWS Cloud PractitionerRelevant certifications such as AWS Certified Support or CompTIA Cloud+
Work EnvironmentTraining programs, supervised environments, entry-level tasksCustomer support, troubleshooting cloud issues, working with cloud platforms
Employer & Industry UsageTraining companies, cloud service providers, tech companiesIT departments, cloud service providers, tech support firms

The Apprentice Cloud Computing Trainee is an entry-level role focused on learning and gaining foundational cloud skills, often within training programs. In contrast, a Cloud Support Technician is a more experienced role involving direct support and troubleshooting cloud-related issues for clients or organizations. While both roles require cloud knowledge and certifications, the trainee position emphasizes learning, whereas the technician role emphasizes practical support and problem-solving.

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What cities are hiring for Apprentice Cloud Computing Trainee jobs? Cities with the most Apprentice Cloud Computing Trainee job openings:
What are the most commonly searched types of Cloud Computing Trainee jobs? The most popular types of Cloud Computing Trainee jobs are:
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What job categories do people searching Apprentice Cloud Computing Trainee jobs look for? The top searched job categories for Apprentice Cloud Computing Trainee jobs are:
Infographic showing various Apprentice Cloud Computing Trainee job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $40,268 per year, or $19.4 per hour.
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 14 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

172nd of 530 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