Principal Cloud Architect

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• Prototype and Hand Off:
  Design platform patterns end-to‑end- build reference implementations, document the rationale, and partner with implementation teams to roll them out. Stay hands‑on through proof‑of‑concept and initial enablement, writing reference implementations and opening PRs to jumpstart team adoption.
• Participate in Architecture Review:
  Bring a consistent, documented rubric to weekly architecture reviews so teams get reliable guidance. Expand our standards library and Architecture Decision Records (ADRs).
• Own a Domain Specialty:
  Provide architectural stewardship in one of our focus areas:
  Cloud Infrastructure Architecture:
  Own the architecture for our cloud runtime, networking, service mesh, container platforms, and overall infrastructure scalability, resilience, and security. Data Architecture:
  Own event streaming/messaging, database technology strategy, pipeline patterns, warehouse, and lakehouse strategies.
• Define Technology Lifecycle:
  Evaluate emerging technologies through structured POCs, drive standards for onboarding and phase‑out, and lead evaluations of vendor changes and consolidation opportunities. Partner with Fin Ops on cost optimization in your depth area, including emerging AI/model infrastructure spend (e.g., evaluating open‑weight models as a lower‑cost alternative to hosted APIs).
• Enable R&D Teams:
  Host design reviews and workshops. Serve as a technical consultant to engineering teams making complex infrastructure choices. Make patterns consumable and self‑service so teams don’t reinvent the wheel.
• Shape Multi-Year Strategy:
  Contribute to the multi‑year platform direction-developer experience, delivery pipelines, and AI‑augmented architecture review tooling (e.g., MCP servers, LLM‑based rubric evaluation)-in partnership with platform engineering teams.

• Broad Infrastructure Architecture
  
  Experience:
  
  Proven track record of setting technical direction across large‑scale systems many teams depend on-cloud, networking, data, or delivery. Ability to defend architectural choices against real production workloads.
• Multi‑Cloud & Kubernetes Fluency:
  Production experience with GCP and/or AWS, paired with solid understanding of trade‑offs. Practical experience with Kubernetes (GKE or equivalent) as the runtime foundation for modern workloads.
• Infrastructure as Code:
  Strong proficiency in Terraform, Git Ops workflows, and designing/reviewing reusable modules that other teams depend on.
• Depth in At Least One Domain (Nice to Have More):
  Cloud
  
  Infrastructure: Cloud‑native networking (AWS transit patterns, GCP shared VPCs, Private Service Connect, VPC peering);
  Kubernetes/container orchestration (GKE or equivalent) and service mesh (Istio) and mTLS; designing for scalability, resilience, and cost efficiency; ensuring infrastructure and network security. Data Architecture:
  Messaging platforms (Kafka/Confluent, Pub/Sub); database technology fluency across SQL (PostgreSQL, Cloud SQL), No
  
  SQL (MongoDB), columnar analytics (Snowflake, Big Query), and search (Solr, Elasticsearch); pipeline design (Dataflow, Cloud Composer, MSK, Kinesis); open table formats (Apache Iceberg).
• Development & Operational Depth:
  Ability to dive into code to prove out patterns and evaluate system behavior under load (incidents, on‑call impact, capacity, rollout blast radius). Comfortable shipping working prototypes rather than relying…