Principal Cloud Architect

What You'll Do:

• 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 FinOps on cost optimization in your depth area, including emerging AI/model infrastructure spend.
• 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—in partnership with platform engineering teams.

What We're Looking For:

• 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 as the runtime foundation for modern workloads.
• Infrastructure as Code: Strong proficiency in Terraform, GitOps workflows, and designing/reviewing reusable modules that other teams depend on.
• Depth in At Least One Domain:
• Cloud Infrastructure: Cloud-native networking; Kubernetes/container orchestration; service mesh and mTLS; designing for scalability, resilience, and cost efficiency; ensuring infrastructure and network security.
• Data Architecture: Messaging platforms; database technology across SQL, NoSQL, columnar analytics, and search; pipeline design; open table formats.
• Development & Operational Depth: Ability to dive into code to prove out patterns and evaluate system behavior under load. Comfortable shipping working prototypes rather than relying solely on high-level diagrams.
• Influence & Leadership: Strong technical leadership, writing, and presentation skills. Track record of driving standards adoption across engineering organizations without formal managerial authority.
• Technology Evaluation: Demonstrated ability to run rigorous technology evaluations and produce actionable recommendations for engineering leaders.
• AI Infrastructure Fluency: Working knowledge of the infrastructure demands of AI/ML workloads, including model serving, vector databases, and inference cost and latency trade-offs.

Bonus Points:

• Depth in both Cloud Infrastructure and Data Infrastructure domains.
• Experience with GCP organization-level policies, folder structure, and IAM inheritance design.
• Confluent Platform knowledge beyond core Kafka.
• Experience running or participating in an Architecture Review Council or equivalent governance body.
• Hands-on experience building or applying AI-augmented architecture review workflows.
• MLOps tooling experience.

Education and Experience:

• Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
• 10-15+ years of cloud infrastructure, platform, DevOps, or data architecture experience.