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Cloud Computing Internship Jobs in Oregon (NOW HIRING)

Striim, Inc.

OR

$120K - $130K/yr

Evaluate emerging technologies across AI, MLOps, cloud computing, and real-time data streaming. Requirements * 1-3 years of professional experience or equivalent graduate research, internships, or ...

New

Ampere Computing LLC

Logic Engineer

Portland, OR · On-site

$118K - $177K/yr

... computing for AI, Cloud, and edge applications. Join us at Ampere and work alongside a passionate ... Relevant internships or academic projects involving digital logic design, microarchitecture, or SoC ...

ASM

Senior Engineer I, Field Process

Hillsboro, OR · On-site

... cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value ... Hands-on experience through internships, research, or academic projects involving processing ...

ASM

Engineer, Field Process (Hillsboro, OR)

Hillsboro, OR · On-site

... cloud computing, AI, and autonomous driving. But we're more than just a tech company. We value ... MS degree with relevant internship, research, or academic project experience, or PhD with relevant ...

New

Amazon

Frontend Engineer, Kiro

Portland, OR · On-site

We build and deliver the foundational AI services that power the future of cloud computing, helping ... BASIC QUALIFICATIONS - 2+ years of non-internship professional front end, web or mobile software ...

Intel

Software Engineer

Hillsboro, OR · On-site

Experience deploying AI/ML services using Docker, Kubernetes, cloud platforms, REST/gRPCAPIs, or ... Strong understanding of system design, distributed computing, performance optimization, security ...

Intel

HBI Module Development Engineer

Hillsboro, OR · Hybrid

... for high-performance computing, AI, and chiplet architectures. You will bring deep technical ... Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances ...

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Cloud Computing Internship information

See Oregon salary details

$9

$16

$23

How much do cloud computing internship jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for cloud computing internship in Oregon is $16.44, according to ZipRecruiter salary data. Most workers in this role earn between $13.22 and $18.56 per hour, depending on experience, location, and employer.

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

To thrive as a Cloud Computing Intern, a solid understanding of computer science fundamentals, familiarity with cloud architectures, and basic programming skills are essential, often demonstrated through coursework or relevant projects. Interns frequently work with platforms like AWS, Azure, or Google Cloud, and may benefit from introductory certifications such as AWS Cloud Practitioner. Strong problem-solving skills, effective communication, and a willingness to learn new technologies help interns stand out in collaborative, fast-paced environments. These abilities enable interns to adapt quickly, contribute meaningfully to technical projects, and develop valuable industry experience.

What is a Cloud Computing Internship job?

A Cloud Computing Internship is a temporary position that provides hands-on experience with cloud technologies, platforms, and services. Interns may work on projects involving cloud infrastructure, virtualization, security, automation, and DevOps. They typically use platforms like AWS, Azure, or Google Cloud to develop, test, and deploy applications. This role helps interns build technical skills, gain industry exposure, and prepare for cloud-related careers.

What types of projects or tasks can I expect to work on during a Cloud Computing Internship?

As a Cloud Computing Intern, you can expect to work on tasks such as deploying cloud-based applications, assisting with infrastructure automation, and supporting cloud migration projects. You may also help monitor and optimize cloud resources, write scripts to automate processes, or participate in troubleshooting technical issues with the cloud team. Interns are often given opportunities to collaborate with experienced engineers, gain hands-on experience with leading cloud platforms, and contribute to real-world solutions. This hands-on work helps you develop practical skills and build a strong foundation for a future career in cloud computing.

What are the most commonly searched types of Cloud Computing jobs in Oregon? The most popular types of Cloud Computing jobs in Oregon are:
What are popular job titles related to Cloud Computing Internship jobs in Oregon? For Cloud Computing Internship jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Cloud Computing Internship jobs in Oregon look for? The top searched job categories for Cloud Computing Internship jobs in Oregon are:
What cities in Oregon are hiring for Cloud Computing Internship jobs? Cities in Oregon with the most Cloud Computing Internship job openings:
Cloud Computing Internship jobs near you
Infographic showing various Cloud Computing Internship job openings in Oregon as of July 2026, with employment types broken down into 17% Internship, 77% Full Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $34,185 per year, or $16.4 per hour.
Junior Solutions Architect - MLOps & Real-Time Data Integration

Junior Solutions Architect - MLOps & Real-Time Data Integration

Striim, Inc.

OR

$120K - $130K/yr

Other

Medical, Dental, Vision, PTO

Posted 2 days ago

Job description

We are seeking a Junior Solution Architect with a strong foundation in data science, MLOps, cloud data platforms, and modern data engineering to help design and implement real-time data integration and AI-enabled architectures. Working alongside experienced Solution Architects and Engineering teams, this role provides an opportunity for an early-career professional to gain hands-on experience designing scalable streaming data solutions that power enterprise AI, cloud modernization, and real-time analytics.

The ideal candidate is eager to apply data science and machine learning concepts to real-world enterprise challenges, expand technical expertise across modern cloud and data technologies, and develop into a trusted technical architect within a collaborative, fast-paced environment.

Responsibilities

  • Design and implement scalable real-time data integration and Change Data Capture (CDC) solutions using the Striim platform.
  • Design streaming data architectures connecting enterprise databases, cloud data platforms, messaging systems, and AI/ML environments.
  • Develop data pipelines that support machine learning workflows, feature engineering, model inference, and real-time AI applications.
  • Build proof-of-concepts, reference architectures, and deployment patterns for enterprise implementations.
  • Configure, optimize, and troubleshoot data pipelines across cloud and hybrid environments.
  • Collaborate with Engineering, Product, and GTM Engineering teams to validate architectural designs, resolve complex technical challenges, and improve platform capabilities.
  • Participate in architecture reviews, implementation planning, and production readiness activities.
  • Create technical documentation, architecture diagrams, and implementation best practices.
  • Evaluate emerging technologies across AI, MLOps, cloud computing, and real-time data streaming.

Requirements

  • 1-3 years of professional experience or equivalent graduate research, internships, or project experience in data science, machine learning, data engineering, cloud engineering, or solution architecture.
  • Strong foundation in data science, including machine learning algorithms, model selection, feature engineering, and the machine learning lifecycle.
  • Understanding of modern MLOps practices, including model deployment, inference, monitoring, versioning, and CI/CD for machine learning applications.
  • Experience or academic exposure to machine learning frameworks and platforms such as MLflow, Kubeflow, Vertex AI, SageMaker, or Azure Machine Learning.
  • Familiarity with modern data integration concepts, including Change Data Capture (CDC), event-driven architectures, and real-time streaming data pipelines.
  • Working knowledge of relational and NoSQL databases, including SQL proficiency and database administration fundamentals.
  • Experience with cloud platforms and modern cloud data ecosystems, including AWS, Azure, GCP, Databricks, Snowflake, BigQuery, Amazon Redshift, or Azure Synapse.
  • Experience programming in Python or Java and working with REST APIs and JSON.
  • Understanding of Docker containers and modern DevOps concepts; familiarity with Kubernetes, Git, and CI/CD pipelines.
  • Strong analytical, troubleshooting, written, and verbal communication skills.
  • Demonstrated curiosity, adaptability, and a passion for learning emerging technologies in AI, cloud computing, and real-time data streaming.
  • Bachelor's or Master's degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical discipline.

Benefits

  • Competitive salary and pre-IPO stock options
  • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • The chance to contribute to and shape an upbeat, fully engaged culture

Compensation

$120,000 - $130,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn commission-based rewards.

Applications will be reviewed on a rolling basis and accepted until the position is filled.

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