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Cloud Engineer Intern Jobs in San Ramon, CA (NOW HIRING)

METR

Platform Engineer, Intern

Berkeley, CA · On-site

$150/hr

Deploying and managing cloud infrastructure. * Building robust observability and monitoring of our ... You have some low-level programming experience (C, C++, or Rust - open source contributions are a ...

Hayden AI

Senior State Estimation Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Collaborate with deep learning, device, and cloud teams to improve overall system architectures ... software engineer intern, or a related state estimation engineer role. * Five (5) years of ...

Labelbox

Cyber Security Intern

San Francisco, CA

Role Overview As a Security Engineering Intern at Labelbox, you will work closely with our security ... You will receive direct mentorship while gaining hands-on experience across cloud security ...

IBM

Software Developer Intern 2027

San Jose, CA · On-site

$22 - $29/hr

Building the world's leading AI-powered, cloud-native products that shape the future of business ... As an intern, you will work alongside experienced IBM developers to design, build, and test ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native ... We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native ... We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas * LLM Agent ...

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Showing results 21-40

All JobsCloud Engineer Intern JobsCloud Engineer Intern Jobs in San Ramon, CA

Cloud Engineer Intern information

See San Ramon, CA salary details

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How much do cloud engineer intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for cloud engineer intern in San Ramon, CA is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.37 per hour, depending on experience, location, and employer.

What is a cloud engineer intern?

A Cloud Engineer Intern is responsible for assisting in the design, implementation, and maintenance of cloud-based systems and services. They typically work with cloud platforms like AWS, Azure, or Google Cloud to optimize infrastructure, support deployments, and enhance security. Interns may also collaborate with teams to troubleshoot issues, write scripts for automation, and improve system performance. This role provides hands-on experience with cloud technologies, helping interns build skills for a future career in cloud engineering.

What are the common responsibilities of a cloud engineer intern?

As a Cloud Engineer Intern, you can expect to assist with activities such as configuring and deploying cloud infrastructure, supporting the automation of deployment processes, monitoring system performance, and troubleshooting cloud environments under the guidance of senior engineers. You may work closely with software development, operations, and security teams to implement best practices and ensure cloud systems run smoothly. Interns are often given opportunities to contribute to documentation, test new tools, and learn hands-on by participating in real-world projects. This experience provides valuable exposure to both the technical and collaborative aspects of cloud engineering, helping you build a strong foundation for future roles.

What are the key skills and qualifications needed to thrive as a cloud engineer intern?

To excel as a Cloud Engineer Intern, you should have a solid understanding of computer science fundamentals, cloud platforms (such as AWS, Azure, or Google Cloud), and basic programming or scripting skills, often supported by coursework or relevant projects. Familiarity with tools like Terraform, Docker, Kubernetes, and experience with source control systems like Git are highly valued, and entry-level certifications (e.g., AWS Certified Cloud Practitioner) can be advantageous. Strong analytical thinking, eagerness to learn, effective problem-solving, and clear communication skills set candidates apart. These capabilities are vital for adapting to dynamic cloud environments, collaborating across teams, and rapidly acquiring new technical expertise.

Are cloud engineer interns still in demand?

Cloud engineer internships remain in demand as companies continue to adopt cloud technologies like AWS, Azure, and Google Cloud. Interns with skills in cloud platforms, scripting, and automation tools are sought after to support ongoing digital transformation efforts.

What does a cloud engineer intern do?

A cloud engineer intern assists with designing, implementing, and maintaining cloud infrastructure and services. They often work with cloud platforms like AWS, Azure, or Google Cloud, gaining hands-on experience with deployment, scripting, and monitoring tools under supervision.

What are popular job titles related to Cloud Engineer Intern jobs in San Ramon, CA?

For Cloud Engineer Intern jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Cloud Engineer Intern jobs in San Ramon, CA look for?

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Cloud Engineer Intern jobs near you
Infographic showing various Cloud Engineer Intern job openings in San Ramon, CA as of August 2026, with employment types broken down into 58% Internship, and 42% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,896 per year, or $21.6 per hour.

Platform Engineer, Intern

METR

Berkeley, CA • On-site

$150/hr

Full-time, Internship

Posted 21 days ago

Job description

About METR

We are a nonprofit research organization that develops scientific methods to assess AI capabilities, risks, and mitigations, with a specific focus on threats related to AI R&D automation and misalignment.

METR has consistently set precedents for catastrophic AI risk evaluations, including the first independent safety evaluations (working informally with Anthropic and OpenAI in 2022), the first loss-of-control evaluations and first agentic dangerous capability evaluations, the first evaluations using finetuning (mentioned briefly here), the first independent evaluations using internal information about training, the first review partnership for company risk analysis, the first embedded redteaming, and the first evaluations of internal deployments.

We've been consulted and/or favorably referenced by groups on opposite ends of various spectra, including a16z, Khosla, Gary Marcus, Obama, and Dean Ball, and are known for producing one of the most positive results on AI capabilities (the time horizon trend) and the most negative (our downlift study). We're generally referenced as the canonical third party assessor, e.g. as the obvious candidate to verify conditional pause agreements, and are trusted with AI incident investigations by frontier labs and governments. 

We believe it is robustly good for policymakers and civil society to have a clear understanding of risks from AI systems, and we are extremely excited to build a team of ambitious, excellent people to tackle one of the most important challenges of our time.

About the role

Nearly everything we do runs on our evaluation platform, and we're expanding the ambition, speed, and scale of our evaluations over 2026 (Time Horizon 2.0, our first large-scale monitorability publication, industry-wide risk assessment programs). This means the platform needs to do more, faster, and more reliably.

We're looking for platform engineering interns to help build and maintain that platform, working directly with our infrastructure team. You would report to Mischa Spiegelmock, who leads the team.

What the role looks like

You'll join our infrastructure team and be expected to learn many things mostly on your own, with some guidance. We will be happy to answer questions and guide you, but expect to do a fair bit of reading and discovery. This work includes:

  • Helping build and maintain the world's leading open-source LLM evaluation platform.

  • Debugging and improving LLM evaluations.

  • Deploying and managing cloud infrastructure.

  • Building robust observability and monitoring of our cloud platform.

  • Building agents to automate tasks.

  • Supporting AI researchers in their quests to challenge and confound the leading AI models.

What we're looking for

We're looking for someone passionate about software, open source, and learning - the kind of person who works on personal projects for fun and has a track record of teaching themselves new things.

  • You have deep familiarity with UNIX/Linux systems.

  • You have some low-level programming experience (C, C++, or Rust - open source contributions are a plus).

  • You know more about LLMs than the average engineer - you can talk about transformers and embeddings, or have done ML work.

  • You have basic web development experience (full-stack, React, TypeScript).

  • Nice to haves: AWS (IAM, ECS, Lambda), PostgreSQL, infrastructure-as-code (Terraform, Pulumi, CDK), Kubernetes administration, or experience with LLM evaluation tooling like Inspect.

None of these individually is a hard requirement. Evidence that you pick things up quickly matters more than having experience with all of the above.

Logistics
  • Fixed-term internship running from August 31 to December 18, 2026, with potential to convert to full-time.
  • In-person at METR's office in Berkeley.
  • If you lack US work authorization, we may be able to sponsor visas for this role.
  • Compensation: $150/hr.
  • Our office also provides catered breakfast/lunch/dinner daily, and an in-office gym and shower.
Our Culture
METR is a mission-driven organization. We believe our work can meaningfully shape humanity's future for the better, and we want to be the best people in the world doing this work. We have a tight-knit, collaborative research culture rooted in truth-seeking and integrity. We're fiercely committed to producing high-quality, trustworthy science. We're honest and transparent about our results, especially when they may go against the grain. We've earned trust as reliable partners who handle confidential information with care. We maintain a low-ego, drama-free environment focused on what matters. 
 
We are committed to diversity and equal opportunity in all aspects of our hiring process. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome and encourage all qualified candidates to apply for our open positions.
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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