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Cloud Engineer Trainee Jobs in California (NOW HIRING)

Arenatechnologies

Data Scientist

San Diego, CA · On-site

$125 - $144/hr

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft ...

SPA

Data Scientist with Security Clearance

San Diego, CA · On-site

... trainee measurement aids when required for training of new or upgraded equipment due to a major ... Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft ...

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All JobsCloud Engineer JobsCloud Engineer Trainee JobsCloud Engineer Trainee Jobs in California

Cloud Engineer Trainee information

What is a cloud engineer trainee?

Cloud Engineer Trainees are entry-level professionals who are learning how to design, implement, and manage cloud-based systems and services. They typically work under the supervision of experienced cloud engineers, gaining hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Their responsibilities often include assisting with cloud migrations, monitoring system performance, and learning best practices for cloud security and architecture. This role is ideal for individuals seeking to build foundational skills for a career in cloud engineering.

What are the key skills and qualifications needed to thrive as a cloud engineer trainee, and why are they important?

To thrive as a Cloud Engineer Trainee, you should have a foundational understanding of computer networks, operating systems, and programming or scripting languages, often supported by a degree in computer science or a related field. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud, and pursuing entry-level certifications like AWS Certified Cloud Practitioner or Microsoft Azure Fundamentals, is beneficial. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help you adapt and grow in dynamic technical environments. These skills and qualities are important because they enable you to grasp complex concepts quickly, collaborate efficiently, and contribute to building and maintaining secure, scalable cloud solutions.

What are some common challenges faced by cloud engineer trainees during their first few months on the job?

Cloud Engineer Trainees often encounter challenges such as adapting to rapidly evolving cloud technologies, learning to manage multiple cloud platforms, and understanding security best practices. They also need to become proficient in troubleshooting cloud infrastructure issues and collaborating with cross-functional teams, such as developers and operations staff. Overcoming these challenges typically involves continuous learning, hands-on practice, and seeking guidance from more experienced team members.

Are cloud engineer trainees still in demand?

Cloud engineer trainees are in high demand as organizations continue to adopt cloud computing platforms like AWS, Azure, and Google Cloud. Entry-level roles often require knowledge of cloud services, scripting, and certifications, making this a growing field for those gaining relevant skills. The demand is expected to remain strong due to ongoing digital transformation initiatives.

Can I become a cloud engineer trainee in 3 months?

Becoming a cloud engineer trainee in three months is challenging but possible with intensive study of cloud platforms like AWS, Azure, or Google Cloud, along with foundational skills in networking, scripting, and Linux. Typically, trainees spend several months gaining hands-on experience and certifications, but dedicated learners can acquire basic knowledge within this timeframe.

How to get a cloud engineer trainee job with no experience?

To secure a cloud engineer trainee position with no experience, focus on gaining foundational knowledge of cloud platforms like AWS, Azure, or Google Cloud through online courses and certifications such as AWS Certified Cloud Practitioner. Building hands-on skills with cloud services, scripting, and understanding networking concepts can improve your chances, along with internships or entry-level roles in IT to develop relevant experience.

What are the most commonly searched types of Cloud Engineer jobs in California?

The most popular types of Cloud Engineer jobs in California are:

What cities in California are hiring for Cloud Engineer Trainee jobs?

Cities in California with the most Cloud Engineer Trainee job openings:

Cloud Engineer Trainee jobs near you
Infographic showing various Cloud Engineer Trainee job openings in California as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Scientist I - Full Stack Management Trainee

Mulligan Funding

San Diego, CA

$90K - $107K/yr

Full-time

Posted 17 days ago

Job description

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $10M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what's possible while creating value for all of our partners.

At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning. Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows. As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists. 

By stepping directly into the center of these efforts, you won't just observe modern machine learning-you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization.

The Data Scientist I - Full Stack Management Trainee role focuses on machine learning development, model deployment, and MLOps. Working alongside senior engineering and data science leads, you will take ownership of model construction, experimental design, pipeline development, and code productionalization on cloud infrastructure, making an immediate impact on our production systems.

You will:
  • Assist in constructing, testing, and deploying machine learning models.
  • Design and evaluate experimental designs and A/B testing methodologies.
  • Productionalize data science code utilizing GitHub, version control, and modern MLOps pipelines.
  • Work with data vendors in pushing data boundaries.
Qualifications & Requirements
  • Education: Master's degree or higher in Mathematics, Statistics, or a Quantitative field.
  • Statistical Expertise: Hands-on experience with A/B testing methodologies and experimental design.
  • ML & Engineering: Proven experience building ML models and exposure to MLOps principles.
  • Production Skills: Ability to productionalize code using GitHub and manage code versioning.
$90,000 - $107,300 a year
A reasonable estimate of the base salary range for this role is $90,000 to $107,300 per year. In determining final compensation within the base range, Mulligan Funding considers a variety of factors, including market data, relevant experience, skills, and past performance.
Mulligan Funding is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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