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Metro-based, mid-level DevOps role with generalist platform requirements increases applicant competition.
Core platform and security skills are transferable, but HIPAA/GxP and AI governance raise domain specificity.
Explicit 4–8 year requirement plus mandatory cloud, security, and governance skills makes filtering strict.
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Manage configuration and policy for AI tools like Claude, ChatGPT, and Codex across the organization ensuring compliance and policy enforcement.
Operate and secure the MCP server ecosystem including hosting decisions, supply-chain controls, permissions governance, and server approval processes.
Lead security reviews and governance & risk compliance for AI tools, manage admin consoles, cost governance, and deploy internal AI tooling infrastructure with CI/CD pipelines.
4–8 years of experience in platform engineering, security engineering, DevOps, cloud infrastructure, or IT engineering.
Hands-on experience with cloud platforms (Azure preferred), identity and SSO management, and configuration or endpoint management tools.
Experience supporting or running security reviews, audits, or compliance tooling; knowledge of HIPAA/GxP compliance is advantageous.
Work Experience Required: 4–8 years in relevant engineering roles. Notice period: Not explicitly mentioned in the JD.
Security-focused professional adept at balancing rapid deployment with strict compliance and risk management requirements.
Demonstrated hands-on expertise in cloud-based DevOps, identity/SSO, configuration management, and deploying governance via policy-as-code and dashboards.
Effective cross-functional collaborator capable of driving projects involving AI innovation, IT, Cloud, and Governance Risk Compliance with strong ownership of ambiguous, greenfield initiatives.