1

Cloud Engineer Intern Jobs in Seattle, WA (NOW HIRING)

AI Engineer Intern

Bellevue, WA ยท On-site

$82.66 - $165.31/hr

This is practical AI engineering, not research--you'll ship production systems that integrate LLMs ... Familiarity with AWS or GCP cloud services and containerization (Docker) * Understanding of ...

... customer and developer communities; and 469 independent user communities in 97 countries ... OCI is committed to providing the best in cloud products that meet the needs of our customers who ...

OCI Software Engineer Intern - OVIP

Seattle, WA ยท On-site

$19.09 - $36.35/hr

... customer and developer communities; and 469 independent user communities in 97 countries ... Discover your potential at a company leading the way in AI and cloud solutions that impact billions ...

OCI Software Engineer Intern - OVIP

Seattle, WA ยท On-site

$19.09 - $36.35/hr

... customer and developer communities; and 469 independent user communities in 97 countries ... Discover your potential at a company leading the way in AI and cloud solutions that impact billions ...

IT Intern (R2862)

Seattle, WA ยท On-site

$21 - $25/hr

Familiarity with Microsoft 365, Active Directory, or cloud-based collaboration platforms. * Basic ... Knowledge of scripting or programming fundamentals. * Industry certifications or coursework such as ...

Collaborate with researchers and engineers to design, develop, and refine large language models and ... Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning ...

Collaborate with researchers and engineers to design, develop, and refine large language models and ... Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning ...

next page

Showing results 1-20

Cloud Engineer Intern information

See Seattle, WA salary details

$12

$21

$33

How much do cloud engineer intern jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for cloud engineer intern in Seattle, WA is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $23.80 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 the most commonly searched types of Cloud Engineer jobs in Seattle, WA?

The most popular types of Cloud Engineer jobs in Seattle, WA are:

What are popular job titles related to Cloud Engineer Intern jobs in Seattle, WA?

For Cloud Engineer Intern jobs in Seattle, WA, the most frequently searched job titles are:

What cities near Seattle, WA are hiring for Cloud Engineer Intern jobs?

Cities near Seattle, WA with the most Cloud Engineer Intern job openings:

Infographic showing various Cloud Engineer Intern job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $45,719 per year, or $22 per hour.

AI Engineer Intern

Bellevue, WA โ€ข On-site

$82.66 - $165.31/hr

Other

Posted 8 days ago


Job description

RAG, LLM Integration, Function Calling, AWS Bedrock, MCP/A2A

Build AI-powered features for B2B SaaS that handle real customer data securely. This is practical AI engineering, not researchโ€”you'll ship production systems that integrate LLMs, implement RAG pipelines, and build agent workflows. We're looking for engineers who understand that AI in production means thinking about security, multi-tenancy, costs, and reliability, not just prompts.

  • Design and implement RAG pipelines for engineering documentation and knowledge bases
  • Build function/tool calling systems with structured outputs and reliable execution
  • Integrate LLMs via AWS Bedrock, GCP Vertex AI, or OpenAI APIs
  • Develop MCP (Model Context Protocol) servers and A2A (Agent-to-Agent) workflows
  • Implement secure, multi-tenant AI features that protect customer data isolation
  • Build background task pipelines (Celery, SQS) for async AI processing at scale
  • Create embeddings pipelines and manage vector databases for semantic search
  • Monitor AI system performance, costs, and quality metrics in production
Requirements
  • Strong Python skills with async programming experience
  • Understanding of transformer architectures and LLM fundamentalsโ€”how they work, not just how to call them
  • Experience building with LangChain, LlamaIndex, or similar orchestration frameworks
  • Knowledge of vector databases (Pinecone, Weaviate, Chroma, pgvector)
  • Familiarity with AWS or GCP cloud services and containerization (Docker)
  • Understanding of security principles for multi-tenant systemsโ€”data isolation matters
  • Experience with message queues and background processing (Celery, SQS, Redis)
  • Self-directed problem solver who designs solutions, not just implements specs
  • Proficient with AI coding tools and prompt engineeringโ€”you've built with these, not just experimented
  • Prior professional experience not required if portfolio demonstrates real AI engineering capability
  • Competitive hourly compensation
  • Flexible schedule (full-time summer or part-time year-round)
  • Direct mentorship from founders and senior engineers
  • Real project ownership with production impact
  • Path to full-time conversion for exceptional performers
  • Modern tech stack and cutting-edge AI tools
  • Small team, high autonomy environment
#J-18808-Ljbffr