• Build developer-facing tooling, SDKs, and wrappers that abstract away Kubernetes, workflow, and infra details • Design and harden CI/CD pipelines with faster feedback, per-MR preview environments, and reduced flakiness • Deliver dashboards and shared observability: cost, reliability, performance — consumable by engineers and leadership • Partner with engineering teams to codify repeatable workflow patterns into libraries and templates • Play a central role in rebuilding the workflow orchestration platform and design core primitives for AI workloads • Build language-native wrappers and tooling around workflow features to make advanced orchestration accessible • Implement secure-by-default systems: secrets management, auditability, least-privilege defaults, and bastions • Define and enforce SRE practices — incident response, playbooks, SLIs/SLOs, backup/restore automation • Shape the Platform team: standards, processes, and culture that emphasize self-service systems over tickets