Architect, implement, and maintain resilient, self-healing platform infrastructure across Google Cloud Platform (GCP) and hybrid environments, establishing declarative Infrastructure as Code and git-driven deployment workflows. Develop orchestration layers and high-concurrency runtime environments capable of provisioning, scaling, and terminating dynamic AI agent swarms on demand, optimizing for rapid elasticity, GPU/compute utilization, and cost efficiency.
Establish and advocate Service-Level Objectives/Indicators (SLOs/SLIs), and error budgets across all distributed services, implementing comprehensive distributed tracing, metrics, and automated alert systems to guarantee system availability and fault tolerance. Eliminate operational toil through software engineering by building custom internal tooling, operators, controllers, and self-remediating pipelines, while executing chaos experiments to proactively expose systemic bottlenecks.
Adapt core platform modules to operate reliably across secondary cloud providers and restricted, air-gapped, or on-premises enterprise environments without sacrificing developer velocity or security boundaries.
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