Director, Cloud & AI Platform Architecture

Are you ready for new challenges and new opportunities?

Join our team!

Current job opportunities are posted here as they become available.

Millions of shipments with goods and materials move around the world daily, by land, sea, or air.

Pay Cargo is the world's leading online payment solution that is revolutionizing the shipping and cargo world. With a fast and efficient way to reduce costs associated with payment processing, we help improve the speed and profitability of our customers' businesses.

Pay Cargo's platform connects payers and vendors across the cargo and logistics ecosystem, supporting payments, remittance data, integrations, vendor release workflows, and customer-facing digital experiences.

The Director of Cloud & AI Platform Architecture is the most senior of Pay Cargo's platform engineering roles, sits on the Dev Sec Ops  team, and operates as the technical second-in-command to the VP of Infrastructure & Security. The role owns architecture across cloud infrastructure, identity and access, the secure AI platform, Bedrock and model strategy, security boundaries, egress design, tokenization and PII-protection patterns, application certification gates, resilience, and long-term platform direction.

This is a hands-on director-level technical leadership role. The person will be expected to design, review, implement, troubleshoot, and operate critical cloud, security, and AI platform capabilities. This is an individual-contributor role with no direct reports; the role is primarily accountable for technical ownership and execution.

This is not a diagram-only or strategy-only role. Every design the Director produces includes an ownership model, deployment path, security boundaries, logging and monitoring, cost controls, failure modes, rollback approach, and runbook expectations so the team can operate it. The role requires deep, current, hands‑on experience and the judgment to balance long‑term architecture with the practical realities of a modernizing platform.

The Director of Cloud & AI Platform Architecture partners closely with Dev Ops, Security, Engineering, Product, Compliance, and executive stakeholders to ensure designs are runnable, supportable, and aligned to Pay Cargo's business and risk priorities.

This position is an individual contributor with no direct reports and operates as a player‑coach. The role leads through technical ownership — setting architecture standards, guiding engineers and Dev Ops through implementation, and ensuring every design can be operated and supported by the team.

• Design architecture that can be implemented, monitored, secured, cost‑managed, and supported by the team
• Ensure every design includes ownership model, deployment path, security boundaries, logging and monitoring, cost controls, failure modes, rollback approach, and runbook expectations
• Define reusable patterns, reference architectures, and Terraform standards that engineers can follow consistently
• Balance long‑term architecture with practical modernization of legacy systems and integrations
• Architect scalable, resilient solutions across a multi‑account, multi‑region AWS estate (including VPC peering) and Azure, with redundancy, failover, and disaster recovery
• Guide integration and API design across established systems (EC2‑based services, file processing) and newer ECS and serverless workloads, including modernization of legacy integrations
• Define cost‑aware designs and help manage cloud and model‑usage spend
• Partner with Dev Ops to ensure designs map cleanly to Terraform and the Git Hub Actions deployment pipelines

• Own the identity and access architecture, including AWS IAM and IAM Identity Center, Microsoft Entra , Git Hub OIDC federation for CI, and the SSO/SAML and OAuth2/OIDC patterns that connect them
• Set standards for PKI and encryption in transit (AWS Private CA, ACM, mTLS, ALB trust stores) and for zero‑trust network access (Entra s, Tailscale)
• Inform the design of a contained, secure AI platform, including a stateless model layer and an application layer that…