Cloud Engineer (Azure)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Engineer (Azure) based in United States.
This role is responsible for designing, building, and supporting secure, scalable Microsoft Azure infrastructure for cloud, data, and AI initiatives. You will help shape modern cloud environments while ensuring reliability, security, governance, and operational efficiency. The position combines hands-on infrastructure engineering with Infrastructure as Code, automation, DevOps, and cloud modernization. You will collaborate closely with infrastructure, development, data, and AI teams to deliver solutions that support evolving business and technology needs. The role also provides exposure to Microsoft Fabric, data lakes, and AI/ML infrastructure. This is a primarily remote opportunity with occasional travel and the potential for long-term employment through either direct hire or contract-to-hire arrangements.
Accountabilities
Design, build, configure, and maintain secure, scalable Microsoft Azure cloud infrastructure.
Implement Infrastructure as Code and automated deployment practices, with a strong focus on Terraform-based solutions.
Support cloud migration, modernization, and infrastructure automation initiatives.
Build and maintain environments supporting Microsoft Fabric, Azure data platforms, data lakes, and related data workloads.
Partner with AI and machine learning teams to provide reliable infrastructure for AI/ML initiatives.
Implement and maintain cloud security controls covering identity and access management, networking, encryption, logging, monitoring, and governance.
Support CI/CD pipelines, configuration management, DevOps, and DevSecOps practices.
Monitor cloud infrastructure performance, troubleshoot technical issues, and contribute to disaster recovery and business continuity capabilities.
Collaborate with cross-functional technical teams to improve cloud reliability, scalability, security, and operational efficiency.
Requirements
5+ years of relevant IT experience, including at least 2 years of hands-on cloud infrastructure experience.
Strong practical knowledge of Microsoft Azure services, cloud architecture, and governance.
Hands-on experience with Infrastructure as Code, with Terraform strongly preferred.
Experience with PowerShell, Python, Shell, or similar scripting languages for automation and infrastructure management.
Solid understanding of IAM, networking, security controls, monitoring, logging, encryption, and other cloud-native technologies.
Experience supporting cloud migrations, modernization programs, and infrastructure automation.
Familiarity with Microsoft Fabric, Azure data platforms, data lakes, or infrastructure supporting AI/ML workloads is highly desirable.
Strong troubleshooting and problem-solving abilities, with the capacity to work across infrastructure, development, data, and AI teams.
Experience working with healthcare environments, HIPAA, HITRUST, or comparable compliance requirements is a plus.
Benefits
Salary range of $90,000–$120,000+ depending on experience and qualifications.
Primarily remote work.
Occasional travel as required.
Direct-hire or contract-to-hire opportunity.
Opportunity to work with Microsoft Azure, Infrastructure as Code, cloud modernization, data platforms, and AI/ML infrastructure.
Exposure to modern DevOps and DevSecOps practices.
Opportunity to contribute to secure and scalable cloud environments supporting healthcare technology initiatives.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes