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Tier-1 brand, metro hybrid role but senior specialized AI-platform focus limits applicant density.
Platform engineering skills transfer well, but regulated environment and AI-ops specialization require domain-relevant experience.
Multiple mandatory platform, incident management, compliance, and automation requirements indicate stringent technical filters.
Own the build, hardening, patching, and lifecycle management of operating systems and platform infrastructure.
Lead AI-driven automation initiatives to reduce incident volume and mean time to recover (MTTR) within a regulated production environment.
Drive change management and adoption of new AI-enabled operational practices, including major incident leadership and stakeholder engagement.
Deep platform engineering expertise including OS packaging, patch management, and configuration standards.
Experience leading complex incident management, root cause analysis, and change control in regulated production environments.
Technical skills in automation, infrastructure-as-code, scripting, and production system lifecycle management.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in both hands-on platform engineering and strategic AI-driven operational innovation.
Comfortable leading cross-functional teams and managing risk while protecting service level agreements (SLAs).
Able to translate technical and business requirements into costed designs and delivery plans for multi-workstream projects.