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Azure Devops Jobs in Remote, OR (NOW HIRING)

Data Scientist

OR · On-site +1

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... Azure Machine Learning, and in implementing models into operational workflows. Preferred ...

Data Scientist

OR · On-site

Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing ... Azure Machine Learning, and in implementing models into operational workflows. Preferred ...

NETWORK ENGINEER

OR · On-site +1

Experienced in the operational network/voice environment and using high-level functional voice ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Experienced in the operational network/voice environment and using high-level functional voice ... Experience with Virtualized Networks (VMware, Google Cloud Platform, Azure Cloud Platform)

Partner with Product, Finance, Engineering, and Executive leaders to identify opportunities for ... Define and evolve performance metrics that measure business value, operational efficiency, customer ...

The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency ... Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work ...

Showing results 21-28

Azure Devops information

See Remote, OR salary details

$16

$60

$86

How much do azure devops jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for azure devops in Remote, OR is $60.47, according to ZipRecruiter salary data. Most workers in this role earn between $50.67 and $69.42 per hour, depending on experience, location, and employer.

What is an Azure DevOps engineer?

An Azure DevOps engineer is a professional who specializes in implementing and managing DevOps practices using Microsoft's Azure platform. They are responsible for automating processes, setting up continuous integration and continuous delivery (CI/CD) pipelines, managing infrastructure as code, monitoring applications, and ensuring collaboration between development and operations teams. Their goal is to streamline software development and deployment while maintaining security and reliability in cloud environments.

What are the key skills and qualifications needed to thrive as an Azure DevOps engineer?

To thrive as an Azure DevOps Engineer, you need a strong background in software development, cloud computing (especially Microsoft Azure), and continuous integration/continuous deployment (CI/CD) practices, often supported by a degree in computer science or a related field. Familiarity with tools like Azure DevOps Services, PowerShell, Git, Docker, Kubernetes, and certifications such as Microsoft Certified: Azure DevOps Engineer Expert are highly valuable. Outstanding problem-solving abilities, effective communication, and a collaborative mindset help you navigate cross-functional teams and adapt to evolving project needs. These skills enable the efficient delivery, automation, and management of applications and infrastructure within dynamic enterprise environments.

What are the most common challenges faced by Azure DevOps professionals in managing CI/CD pipelines?

Azure DevOps professionals often face challenges such as integrating diverse tools into the CI/CD pipeline, maintaining security throughout the deployment process, and ensuring consistency across multiple environments. Balancing speed of deployment with quality assurance is also a frequent concern, especially when collaborating with multiple development teams. Regular communication with stakeholders and ongoing monitoring of pipeline health are crucial to proactively address these issues.

What is the difference between Azure Devops vs DevOps Engineer?

AspectAzure DevopsDevOps Engineer
CertificationsAzure certifications, Azure DevOps certificationsCloud certifications (AWS, Azure), DevOps certifications
Work EnvironmentPrimarily Microsoft Azure cloud platform, Azure toolsVarious cloud platforms, automation, CI/CD pipelines
Employer UsageOrganizations using Microsoft Azure for cloud services
Search & Comparison IntentFocus on Azure-specific tools and services

Azure Devops is a platform for managing software development lifecycle within Microsoft Azure, while a DevOps Engineer is a role that encompasses implementing and managing CI/CD pipelines across various platforms, including Azure, AWS, or GCP. The role of a DevOps Engineer is broader, involving automation, infrastructure as code, and cross-platform integrations, whereas Azure Devops is a specific toolset used by Azure-focused teams.

Is Azure DevOps in demand?

Azure DevOps professionals are in high demand due to the increasing adoption of cloud-based development and continuous integration/continuous deployment (CI/CD) practices. Skills in Azure DevOps tools, automation, and cloud environments are valuable for organizations seeking efficient software delivery pipelines.

What are jobs in Azure DevOps?

Jobs in Azure DevOps refer to roles that involve managing and implementing software development processes using Azure DevOps tools and services. These roles typically require skills in CI/CD pipelines, version control, automation, and cloud deployment, and may include positions like DevOps Engineer, Azure Engineer, or Release Manager.

What are popular job titles related to Azure Devops jobs in Remote, OR?

For Azure Devops jobs in Remote, OR, the most frequently searched job titles are:

What job categories do people searching Azure Devops jobs in Remote, OR look for?

The top searched job categories for Azure Devops jobs in Remote, OR are:

Infographic showing various Azure Devops job openings in Remote, OR as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution, with an average salary of $125,784 per year, or $60.5 per hour.

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 20 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.