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We're seeking a skilled DevOps Engineer to support our AI team in deploying and managing cloud infrastructure on Microsoft Azure. The ideal candidate will have hands-on experience with Terraform, a solid grasp of cloud DevOps practices, and a proven ability to work collaboratively across teams in a regulated enterprise environment.
Key Responsibilities
Build and maintain infrastructure-as-code using Terraform for Azure services
Support deployment of AI and ML applications in Azure (e.g., Azure APIM, OpenAI, and other GenAI services)
Manage and optimize CI/CD pipelines
Develop CI/CD processes for Python and Java enterprise services
Collaborate closely with data scientists, ML engineers, and cloud architects
Apply best practices for cloud security, compliance, and enterprise networking
Skills: Required Qualifications
2+ years of experience in cloud DevOps roles (Azure preferred; AWS or GCP a plus)
Production experience with Terraform
Experience with CI/CD tools, Git, and infrastructure automation
Strong understanding of cloud networking and security
Experience building CI/CD pipelines for Python-based and Java enterprise applications
Nice to Have
Familiarity with Azure DevOps and deployment templates
Exposure to AI/ML workflows or MLOps pipelines
Experience working in regulated or enterprise environments
Proficiency in Python or scripting for automation
Education: Bachelor's degree in Computer Science or a related field, or equivalent work experience.
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