Azure DevOps Engineer
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Job Description
Azure DevOps Engineer with a focus on infrastructure and deployment pipelines for healthcare SaaS solutions. Responsible for maintaining CI/CD pipelines and managing Azure resources.
Responsibilities:
- Design, build, and maintain robust CI CD pipelines using Azure DevOps.
- Implement and manage Infrastructure as Code using Bicep.
- Manage and optimize Azure services including App Services, Azure SQL Database.
- Automate infrastructure provisioning, configuration, security hardening, and monitoring.
- Partner closely with development, operations, and security teams.
- Troubleshoot complex production issues, perform root cause analysis.
- Contribute to DevOps standards, tooling decisions, and process improvements.
- Mentor junior engineers and provide guidance during incidents and operational reviews.
Requirements:
- 6 or more years of hands-on experience in a DevOps or Azure DevOps Engineering role.
- Strong expertise with Azure DevOps tools and services.
- Advanced experience with Infrastructure as Code using Bicep, with ARM template experience as a strong secondary skill.
- Solid understanding of Azure networking and security concepts, including VNets, Application Gateways, Front Door, and API Management.
- Experience operating Azure App Services, and Azure SQL Database in production environments.
- Strong PowerShell scripting skills for automation; familiarity with Bash or Linux based scripting is a plus.
- Experience supporting production systems in regulated environments, including an understanding of healthcare compliance requirements such as HIPAA.
- Demonstrated ability to troubleshoot complex systems, prioritize under pressure, and drive issues to resolution.
Benefits:
- Work on an enterprise-class SaaS platform used by sophisticated healthcare organizations.
- Build systems that must meet real-world reliability and regulatory expectations.
- Join a team that values thoughtful engineering, ownership, and operational excellence.
- Contribute to a product that continues to grow in scale and complexity.
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