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Design, implement, and own production platform subsystems for an enterprise AI control plane. Deliver production-ready Go services on Kubernetes, ensure reliability, observability, and scalability, mentor engineers, drive design docs and code quality, and contribute to the open-source ToolHive/MCP ecosystem.

Contribute to and harden Stacklok Enterprise platform (runtime, Kubernetes operator, gateway, registry). Ship features, fix production issues, write testable code and design docs, review PRs, support open-source ToolHive community, and independently plan and deliver platform work for enterprise AI agents.

Lead APAC technical engagements as the in-region hands-on engineer: embed with enterprise customers, drive production Kubernetes deployments, design reusable reference architectures, unblock platform adoption, mentor engineers, and feed field insights into product and roadmap decisions.

Lead customer-facing platform engineering engagements to deploy and productionize Stacklok Enterprise on Kubernetes. Build custom operators and deployment changes, act as the technical SME, mentor teammates, and turn field learnings into reusable playbooks and tooling to speed enterprise AI agent adoption.

Drive end-to-end forward-deployed engagements to deploy and productionize Stacklok Enterprise on customer Kubernetes stacks. Build custom operators and platform changes, troubleshoot with customers, create reusable playbooks and tooling, mentor teammates, and feed field learnings back into the product to accelerate enterprise AI agent adoption.