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Tier‑1 brand, mid‑level generalist title, and metro/hybrid location create high candidate competition.
Role requires specialized platform, cloud, and regulated‑environment experience, limiting cross-industry transferability.
Explicit 4+ years plus mandatory cloud, IaC, CI/CD, and security requirements increase shortlisting strictness.
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Design, build, and maintain scalable, highly available Microsoft Azure and Google GCP cloud environments using Infrastructure-as-Code (Terraform) and robust CI/CD pipelines.
Operationalize Microsoft Foundry and Google Vertex AI to support agentic AI applications, including defining standards, SDK/CLI approaches, and runbooks for development teams.
Provide technical leadership, mentor engineers, participate in incident response, and collaborate with architecture, security, and product teams to deliver an enterprise AI platform.
Bachelor's degree in Computer Science, Engineering, Statistics, or related field (or equivalent practical experience).
4+ years of experience in platform engineering, DevOps, or infrastructure-focused roles.
Hands-on expertise with Microsoft Azure services, Infrastructure-as-Code (Terraform), and CI/CD pipelines.
Work Experience Required: 4+ years in relevant platform engineering or DevOps roles.
Strong experience with cloud platform engineering focused on Microsoft Azure and Google GCP in regulated or enterprise environments.
Proven ability to lead platform engineering initiatives covering security, governance, cost management, lifecycle practices, and operations for AI-driven platforms.
Experienced in mentoring engineers, collaborating cross-functionally, and operationalizing emerging AI technologies like Foundry and Vertex AI for agentic applications.