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Intern Remote Azure Engineer Jobs in Colorado (NOW HIRING)

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

Azure Developer Associate, Azure Administrator, or Security+. Benefits and Work Environment Synergetics offers a flexible, mostly remote work environment. Employees are part of an agile ...

GCP Cloud Engineer

Denver, CO · Remote

$57.50 - $76.75/hr

Denver, CO - REMOTE -- LOCALS ONLY Duration: 5 Months We are seeking an experienced GCP Cloud ... Azure DevOps * GitHub Actions * GitLab CI * Experience supporting enterprise cloud migrations and ...

.NET Developer

Denver, CO · Remote

$49.75 - $65.50/hr

100% remote contracting position after the onboarding day (must go onsite for onboarding ... and Azure DevOps tool suite is strongly preferred: Boards, Wiki, Repos, Pipeline, Test Plan ...

Director of Data Engineering

Denver, CO · Remote

$117K - $141K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks ...

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Intern Remote Azure Engineer information

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

AspectIntern Remote Azure EngineerIntern Cloud Support Engineer
CertificationsAzure Fundamentals, Azure Administrator (preferred)Cloud certifications like AWS Cloud Practitioner or Azure Fundamentals
Work EnvironmentRemote, cloud-focused, technical tasksRemote or on-site, supporting cloud platforms
Industry UsagePrimarily in companies using Microsoft AzureIn organizations using various cloud providers, including Azure and AWS

The Intern Remote Azure Engineer role is specialized in Microsoft Azure cloud services, requiring familiarity with Azure certifications and tools. In contrast, the Intern Cloud Support Engineer has a broader focus on supporting multiple cloud platforms, including Azure and AWS. Both roles are remote, involve technical support, and are common in cloud service industries. The Azure Engineer position is more focused on cloud architecture and deployment, while the Cloud Support Engineer emphasizes troubleshooting and customer support across cloud environments.

DevOps Pipeline Engineer (Azure) - Remote

DevOps Pipeline Engineer (Azure) - Remote

micro1 AI

Colorado Springs, CO • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

Posted 19 days ago


Job description

Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as an Azure DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.


Key Responsibilities:

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.

• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.

• Orchestrate and manage containerized applications with Kubernetes and Docker.

• Monitor system performance, automate operational tasks, and proactively resolve issues.

• Collaborate closely with development teams to streamline deployments and improve operational efficiency.

• Ensure robust system security, compliance, and reliable backup/recovery strategies.

• Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.


Required Skills and Qualifications:

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.

• Deep expertise in Azure DevOps tools and services.

• Advanced proficiency in Kubernetes and Docker for orchestration and container management.

• Excellent written and verbal communication skills, with a passion for clear, collaborative work.

• Experience designing and optimizing CI/CD pipelines.

• Solid understanding of infrastructure automation, monitoring, and troubleshooting.

• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.


Preferred Qualifications:

• Familiarity with additional cloud platforms such as GCP and AWS.

• Experience supporting large-scale, distributed systems.

• Relevant Azure or Kubernetes certifications are a plus.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.