About the Role
We are looking for a Senior Cloud Architect to own the technical direction of our public cloud platforms. Reporting to the Director of Cloud Platform, you will be the senior technical authority across AWS and Azure. You will set architecture standards, design governance controls, and guide engineering teams in turning them into production-grade platforms.
The role spans the full architecture lifecycle. That covers discovery and design, implementation guidance, platform operationalization, and the documentation and enablement that let platforms scale beyond the people who built them. You will work across managed Kubernetes, cloud networking, security, and data platform architecture. You will also shape how AI tooling is embedded in engineering: not as a productivity add-on, but as a quality gate in the delivery pipeline.
Requirements
Architecture Standards & Governance
- Define cloud architecture standards, reference architecture, and design principles across AWS and Azure
- Design and enforce technical guardrails across multi-account AWS and multi-subscription Azure environments, using policy-as-code and compliance controls (e.g., AWS SCPs/RCPs, Azure Policy)
- Translate industry frameworks (e.g., CAF, Well-Architected) into concrete technical controls and patterns
- Design the tagging and cost-attribution architecture that underpins FinOps reporting
- Present architecture direction, trade-offs, and technical risk to senior leadership alongside the Director
Platform Architecture
- Architect multi-cloud landing zones and hub-and-spoke network topologies across AWS and Azure
- Design Kubernetes platforms at scale on managed services (e.g., AKS, EKS), including cluster lifecycle, multi-tenancy, and workload scheduling
- Lead cloud network architecture: inter-region and cross-cloud routing, private DNS, private endpoints, and connectivity to corporate networks (e.g., ExpressRoute, Direct Connect)
- Integrate batch and workflow orchestration on Kubernetes with cloud-native service networking and modern workload identity patterns
Data Platform Architecture
- Design cloud data platforms using layered (e.g., medallion) architecture across ingestion, transformation, and consumption
- Enable distributed querying across curated data sources for engineering and analytical users
- Define data access control, governance, and observability patterns
AI & Emerging Capabilities
- Architect AI inference gateway infrastructure that provides centralized model routing, security controls, cost attribution, and observability
- Design self-hosted, open-weight model inference on cloud GPU capacity, so AI workloads can run against sensitive data without exposure to third-party model providers
- Design agentic AI workflows for engineering (deployment review, IaC PR validation, platform operations) that act as quality gates in the delivery pipeline
Technical Leadership & Enablement
- Serve as the technical escalation point for the hardest platform problems
- Mentor engineers through design reviews, pairing, and architecture guidance
- Run technical workshops on new architecture patterns, tools, and practical AI workflows
- Contribute to technical interviews and set the technical bar for platform roles
Technical Delivery
- Own Infrastructure as Code standards (Terraform), including bringing existing cloud resources under version-controlled IaC and enforcing repeatable deployment patterns
- Define DevSecOps pipeline patterns and identity and security architecture
- Produce architecture documentation (high-level and low-level designs) and runbooks that let others operate and extend the platforms
What You'll Bring
Essential
- Career progression from hands-on infrastructure or cloud engineering into principal-level cloud architecture
- Production depth across AWS and Azure: landing zones, multi-account/subscription governance, managed services, and security architecture Managed Kubernetes at scale (AKS, EKS), including cluster lifecycle management and workload scheduling Cloud networking: hub-and-spoke topologies, peering, private DNS, private endpoints, and hybrid connectivity Terraform fluency in complex, multi-account environments
- A track record of designing and enforcing cloud governance: guardrails, policy-as-code, and compliance controls
- Influencing engineering teams and senior stakeholders without direct authority
- Clearly communicating architecture decisions and trade-offs, both written and presented
Certifications (one or more expected)
- Microsoft Certified: Azure Solutions Architect Expert
- AWS Certified Solutions Architect (Associate or Professional)
Preferred
- Cloud HPC for scientific or engineering workloads, including job schedulers and high-speed interconnects (e.g., InfiniBand)
- Cloud data platform delivery at production scale (e.g., medallion architecture, AWS data services)
- AI inference gateway or model serving infrastructure Agentic AI workflows applied to infrastructure engineering
- GPU infrastructure or ML platforms in the cloud Regulated or high-availability environments (e.g., financial services, motorsport, government)
- A degree in Engineering, Computer Science, or a related field, or equivalent experience
- CCNA or equivalent network engineering foundation
What the Role is
This is a senior individual-contributor role focused on public cloud architecture. You will set platform direction and standards, and engineering teams will deliver against them. You'll work closely with the Director of Cloud Platform, who owns team management, operating model, budget, and program delivery, while you make technical decisions. Hands-on credibility matters: you'll work directly in infrastructure as code and step in on critical issues when needed.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
