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Internship Cloud Developer Jobs in Oregon (NOW HIRING)

... 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 ...

We build and deliver the foundational AI services that power the future of cloud computing, helping ... BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ ...

Sr. AI Software Engineer - Agent Harness

Hillsboro, OR · On-site

$133K - $175K/yr

To get there, we build agentic AI that combines the best of local and cloud intelligence - private ... Built developer tooling, CLIs, or IDE-adjacent products * Familiarity with sandboxing ...

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

To get there, we build agentic AI that combines the best of local and cloud intelligence - private ... internship experiences and or schoolwork/classes/research. Benefits at Intel Our total rewards ...

Module Development Engineer

Vernonia, OR · On-site

$94K - $133K/yr

... experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications ... Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances ...

... experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications ... Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances ...

... experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications ... Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances ...

Module Development Engineer

Portland, OR · On-site

$94K - $133K/yr

... experience, internship experiences and or schoolwork/classes/research. Minimum Qualifications ... Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances ...

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Internship Cloud Developer information

What is the difference between Internship Cloud Developer vs Cloud Engineer?

AspectInternship Cloud DeveloperCloud Engineer
Required CredentialsTypically pursuing or recent graduate in CS or related fieldRelevant certifications (AWS, Azure, GCP) often required
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time, professional environment, responsible for cloud solutions
Employer & Industry UsageTech companies, startups, internships in various industriesTech firms, cloud service providers, enterprise IT departments

The main difference between an Internship Cloud Developer and a Cloud Engineer lies in experience level and responsibilities. An Internship Cloud Developer is typically a student or recent graduate gaining foundational skills, while a Cloud Engineer is a full-time professional managing cloud infrastructure and solutions.

What are the most commonly searched types of Cloud Developer jobs in Oregon?

The most popular types of Cloud Developer jobs in Oregon are:

What cities in Oregon are hiring for Internship Cloud Developer jobs?

Cities in Oregon with the most Internship Cloud Developer job openings:

Junior Solutions Architect - MLOps & Real-Time Data Integration

Striim, Inc.

OR • On-site, Remote

$120K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 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.