Senior Azure Infrastructure Engineer

JobgetherUnited States
Full TimeOn-siteMidLimited info disclosed
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Description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Azure Infrastructure Engineer based in the United States. This role sits at the center of modern cloud engineering, focused on designing and operating secure, scalable Azure environments for enterprise clients. You will build and maintain infrastructure that supports complex, private-by-design architectures with strict security and compliance requirements. The position combines hands-on engineering with architectural thinking, requiring deep expertise in Azure services, infrastructure-as-code, and cloud automation. You will play a key role in shaping CI/CD pipelines, improving deployment reliability, and strengthening observability across distributed systems. Collaboration is central to the role, as you will work closely with security, application, and client teams to deliver robust cloud solutions. This is a highly technical and impact-driven position where engineering quality directly influences client success. Accountabilities Design, build, and maintain secure Azure cloud infrastructure within client-owned environments, ensuring adherence to private networking and no-public-endpoint architectures. Develop and manage Infrastructure as Code using Bicep or ARM templates, ensuring version control, peer review, and auditability. Configure and support Azure services including Virtual Networks, Private Endpoints, Key Vault, Entra ID, Managed Identities, and RBAC. Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions to support secure and reliable deployments. Provision and manage Azure data services such as PostgreSQL and Blob Storage with proper access controls and security alignment. Implement observability and monitoring solutions using Azure Monitor, Log Analytics, and Microsoft Sentinel. Partner with security, development, and client infrastructure teams to troubleshoot issues and improve cloud architecture. Participate in architecture reviews, code reviews, and deployment planning to ensure scalability and governance compliance. Continuously leverage AI tools to improve productivity, automate workflows, and enhance engineering quality. Requirements 5+ years of experience in cloud infrastructure engineering, with strong focus on Microsoft Azure environments. Deep hands-on experience with Azure networking, security controls, identity management, and governance frameworks. Strong proficiency with Infrastructure as Code tools such as Bicep, ARM templates, or Terraform. Experience building and managing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong understanding of cloud security principles, including RBAC, private networking, and secrets management. Experience with observability tools such as Azure Monitor, Log Analytics, and SIEM platforms like Microsoft Sentinel. Solid understanding of the software development lifecycle and modern DevOps practices. Strong problem-solving skills with a consultative and client-focused mindset. Excellent communication skills and ability to collaborate across technical and non-technical teams. Ability to mentor peers, lead technical discussions, and contribute to engineering best practices. Curiosity and willingness to adopt and experiment with AI tools in daily engineering workflows. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience preferred. Benefits Competitive salary with bonus opportunities Comprehensive health, dental, and vision insurance 401(k) retirement plan with employer matching Generous paid time off and holidays Remote or hybrid work flexibility Tuition reimbursement and continuous learning support Certification and professional development opportunities Collaborative, innovation-driven engineering culture Access to cutting-edge cloud and AI technologies Inclusive workplace with strong emphasis on career growth and mentorship 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. Show more Show less