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Cloud Computing Remote Internship Jobs in Oregon

Natera

Bioinformatician

OR · On-site +1

$87K - $127K/yr

Remote in the United States (Foresight Dx business unit, a Natera company) About the Company ... NGS) data; cloud computing (AWS, GCP, Azure) and/or scientific computing (HPC); and software ...

New

Ryde Technologies, LLC

Louis, MO. This is a fully remote opportunity. Please see below to find the and desired ... Cloud computing experience. • Prior work for DOD and/or Federal agencies.

Cast AI

Technical Account Manager | USA

Oregon City, OR · Remote

Minimum of 2 years of professional experience in cloud computing, focusing on major platforms like ... Enjoy a flexible, remote-first global environment. * 401(k) retirement plan 100% company match on ...

Semtech

Solutions Manager, Connectivity Services & Cloud

OR · On-site +1

$130K - $160K/yr

Remote in the US (preferably in PST or MT time zones) Territory: Western United States Product ... computing * Solid understanding of basic cellular network architectures, including: 2G, 3G, 4G, 5G ...

Crateandbarrel

Senior Architect

OR · On-site +1

... of cloud computing, IT infrastructure, and cybersecurity principles * Ability to design and ... LI-Remote Euromarket Designs, Inc., which does business as Crate and Barrel and CB2, will be ...

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Cloud Computing Remote Internship information

What is a cloud computing remote internship?

A Cloud Computing Remote Internship is a training opportunity where interns work remotely to gain hands-on experience with cloud technologies, platforms, and services. Interns typically learn about cloud infrastructure, deployment models, security, and automation using providers like AWS, Azure, or Google Cloud. They may work on real-world projects, assist in cloud migrations, or develop cloud-based applications. This internship helps build practical skills, industry knowledge, and potential career opportunities in cloud computing.

What types of projects and responsibilities can I expect during a cloud computing remote internship?

As a Cloud Computing Remote Intern, you will typically work on real-world projects such as deploying and monitoring cloud-based applications, automating workflows, or assisting with cloud infrastructure setup and management. Your daily or weekly responsibilities might include writing scripts, participating in code reviews, documenting processes, and supporting team troubleshooting efforts. You will often collaborate with experienced cloud engineers, attend virtual meetings, and contribute to group problem-solving sessions. This exposure allows you to develop practical technical skills and gain insight into how cloud teams function in a professional, remote setting.

What are the key skills and qualifications needed to thrive in a cloud computing remote internship, and why are they important?

To thrive as a Cloud Computing Remote Intern, you should have a foundational understanding of cloud platforms (such as AWS, Azure, or Google Cloud), basic programming knowledge, and familiarity with networking and security concepts. Exposure to tools such as Docker, Kubernetes, Git, and credentials like AWS Certified Cloud Practitioner are often advantageous. Strong self-motivation, effective time management, and clear written and verbal communication skills set candidates apart in a remote setting. These abilities ensure successful project contributions, learning agility, and seamless collaboration in distributed cloud environments.

What are popular job titles related to Cloud Computing Remote Internship jobs in Oregon?

For Cloud Computing Remote Internship jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Cloud Computing Remote Internship jobs in Oregon look for?

The top searched job categories for Cloud Computing Remote Internship jobs in Oregon are:

What cities in Oregon are hiring for Cloud Computing Remote Internship jobs?

Cities in Oregon with the most Cloud Computing Remote Internship job openings:

Cloud Computing Remote Internship jobs near you
Infographic showing various Cloud Computing Remote Internship job openings in Oregon as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution.

Solutions Architect - MLOps & Real-Time Data Integration

OR • On-site, Remote

Striim, Inc.
Software Development • 51 - 200 employees
Learn more about Striim, Inc.external

$120K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 days ago

Job description

We are seeking a 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

  • 2+ 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.

Apply