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Cloud Engineer Intern Remote Jobs in Remote, OR (NOW HIRING)

SOSi

Data Scientist

OR · On-site +1

Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Atos

Head of AI

OR · On-site +1

GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS ... Remote or hybrid within North America; may require proximity to major client hubs. * Travel ...

Atos

Head of AI

OR · On-site +1

GenAI (LLMs), Agentic AI, ML, data engineering, AI platforms, MLOps/LLMOps, and cloud services (AWS ... Remote or hybrid within North America; may require proximity to major client hubs. * Travel ...

Veeco Instruments, Inc.

Operations Finance Manager

OR · Remote

From the smartphones in our pockets that access the world's collective knowledge, to the cloud ... Partner with Engineering and Supply Chain to align cost structures with sourcing and design changes.

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... What We Look For in a Candidate 3-5 years of experience in data science, data engineering ...

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Cloud Engineer Intern Remote information

See Remote, OR salary details

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How much do cloud engineer intern remote jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for cloud engineer intern remote in Remote, OR is $25.39, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.80 per hour, depending on experience, location, and employer.

What is the difference between Cloud Engineer Intern Remote vs Cloud Support Engineer Intern?

AspectCloud Engineer Intern RemoteCloud Support Engineer Intern
Required CredentialsBasic cloud certifications (e.g., AWS, Azure), relevant courseworkSimilar certifications, focus on troubleshooting skills
Work EnvironmentRemote, collaborative cloud projectsRemote, customer support scenarios
Industry UsageCloud service providers, tech companiesIT service providers, cloud vendors

Both roles involve cloud technology fundamentals and remote work. Cloud Engineer Intern Remote focuses on designing and implementing cloud solutions, while Cloud Support Engineer Intern emphasizes troubleshooting and supporting cloud services. The roles often overlap in certifications and work environment but differ in daily responsibilities.

What does a cloud engineer intern do?

A Cloud Engineer Intern working remotely assists with tasks related to designing, deploying, and maintaining cloud-based systems and applications. They typically support senior engineers by helping with infrastructure automation, cloud service configuration, monitoring, troubleshooting, and documentation. Interns may work with platforms like AWS, Azure, or Google Cloud, and gain experience using tools like Terraform, Docker, or Kubernetes. This remote role requires strong communication skills, self-motivation, and the ability to collaborate effectively using digital tools.

What are some common challenges faced by cloud engineer interns working remotely, and how can they overcome them?

Remote Cloud Engineer Interns often encounter challenges such as effective communication with team members across different time zones, gaining access to necessary cloud resources, and staying updated on ongoing projects. To overcome these, interns should proactively schedule regular check-ins with mentors, utilize collaboration tools like Slack or Microsoft Teams, and document their progress thoroughly. Engaging in online training modules and seeking feedback frequently can also help interns stay connected and accelerate their learning in a remote environment.

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

To thrive as a Cloud Engineer Intern Remote, you need a foundational understanding of cloud computing concepts, programming/scripting skills (such as Python or Bash), and relevant coursework or certifications in platforms like AWS, Azure, or Google Cloud. Familiarity with version control systems (like Git), basic networking, and hands-on experience with cloud management consoles or CLI tools are typically expected. Strong problem-solving abilities, effective communication, and self-motivation are important soft skills, especially for remote collaboration. These skills ensure you can contribute to cloud projects, adapt to technical challenges, and work efficiently with distributed teams.
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Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply