William – Kubernetes, Terraform, DevOps

An AI-powered SaaS platform that enables product teams to design, deploy, and operate intelligent applications on AWS. This is a multi-tenant platform serving both internal engineering teams and paying enterprise customers, requiring production-grade infrastructure delivered with the operational simplicity of a managed service.

William joined as Lead Platform Engineer to design the entire cloud infrastructure and GitOps architecture from scratch — spanning a multi-account AWS Organization, a composable Terraform module library, an ArgoCD-based GitOps delivery system with 40+ parameterized Helm templates, and a code generation system that provisions a complete new customer environment through a single command.

• Designed and implemented a multi-account AWS Organization architecture with dedicated accounts for identity, audit, DNS, networking, platform, and per-customer workloads;
• Built a reusable Terraform component library (28+ modules) with a catalog-based inheritance pattern, enabling full environment provisioning through minimal YAML configuration;
• Architected a multi-tenant EKS platform supporting both shared-namespace and dedicated-account customer tiers on the same codebase;
• Designed and maintained the GitOps repository structure using the ArgoCD App-of-Apps pattern, serving as the single source of truth for all cluster workloads;
• Developed a custom Helm chart (platform-library) with 40+ parameterized templates covering autoscaling, service mesh, secrets, observability, policy, and data services;
• Integrated Istio service mesh with dual NLB gateways (public and private) and automated DNS via External DNS extended to Istio VirtualService resources;
• Implemented a four-layer secrets architecture using Vault, Bank-Vaults, External Secrets Operator, and Vault Config Operator;
• Built GitHub Actions CI/CD pipelines with OIDC-based AWS authentication, affected-stack detection, plan/apply automation, and scheduled drift detection;
• Designed and implemented Karpenter node autoscaling with multi-family spot instance pools, Fargate bootstrap, and environment-tuned disruption budgets;
• Created a code generation system (_catalyst-blueprints) with stack-aware scaffolding for infrastructure, GitOps, frontend, backend, and AI agent repositories;
• Enforced cluster-wide policy using Kyverno for workload standards, registry restrictions, and namespace isolation rules;
• Established an AI-assisted spec-driven development workflow (Speckit) embedded as custom slash commands across all platform repositories.

An engineering platform of a national primary care company operating hundreds of physician-led clinics across the United States, delivering value-based care at scale. The goal was to modernize the platform and accelerate its cloud-native transformation.

William joined the engagement as a Senior Platform Engineer, responsible for assessing the existing infrastructure, redesigning the Kubernetes and IaC architecture from the ground up, and delivering the GitOps, CI/CD, and developer tooling foundations that teams across the organization rely on to build and ship applications.

• Performed discovery and assessment of the existing platform and infrastructure architecture;
• Designed and refactored reusable Terraform modules to standardize Infrastructure as Code across environments;
• Designed the Kubernetes platform architecture to support scalable and reliable application deployment;
• Defined CI/CD pipelines using GitHub Actions to automate infrastructure and application delivery workflows;
• Designed GitOps-based deployment workflows using ArgoCD for multi-environment Kubernetes application delivery;
• Developed Kubernetes Operators in Go to automate platform operations and application lifecycle management;
• Designed and maintained reusable Helm charts for application deployment and operational consistency;
• Implemented Kubernetes DNS automation through Cloudflare and Route 53 integrations;
• Designed Kubernetes Preview Environments to accelerate development, validation, and testing workflows;
• Led the containerization of existing applications to improve portability, deployment consistency, and operational efficiency;
• Designed and integrated Datadog as the unified observability platform, covering Kubernetes cluster monitoring, application performance monitoring, infrastructure metrics, log aggregation, alerting, and AWS cloud cost management.

Ford is one of the world's largest automotive manufacturers, operating a global engineering and technology organization that builds the software and cloud infrastructure powering its vehicles and digital products. The goal was to modernize their containerized development platform on Red Hat OpenShift and Google Kubernetes Engine.

William joined the engagement as a Senior Platform Engineer, responsible for designing the full infrastructure and CI/CD architecture on GCP, building containerized development environments, and serving as the subject-matter expert bridging the company's engineering requirements with Red Hat's product roadmap.

• Designed containerized development environments to run on Red Hat OpenShift and Google Kubernetes Engine;
• Designed the Infrastructure as Code architecture using Terraform on Google Cloud Platform;
• Designed the Continuous Integration and Continuous Deployment architecture using Tekton for automated application delivery;
• Managed the company's product feature requests to Red Hat, acting as subject matter expert for both the company's and Red Hat engineering teams.

A leading financial technology platform that democratizes access to alternative investments and structured notes, connecting thousands of independent financial advisors with top-tier asset managers and bank issuers across the wealth management ecosystem. The goal was to support the company's cloud transformation, migrating its infrastructure from Rackspace to AWS and modernizing its engineering platform.

William joined the engagement as Senior Platform Engineer and de facto technical lead, responsible for designing the full AWS cloud, Kubernetes, Terraform, and CI/CD architecture, driving the cloud migration strategy, and integrating the client's engineering team into the new technology stack.

• Designed AWS cloud solutions to support CAIS's infrastructure migration and modernization;
• Designed Kubernetes architectures to support the migration from Rackspace to AWS;
• Designed Terraform architectures to provision and manage CAIS's infrastructure on AWS;
• Designed migration strategies from multiple cloud providers to AWS;
• Containerized Go applications to improve deployment consistency and portability;
• Designed Continuous Integration and Continuous Deployment pipelines for all products and services;
• Designed GitOps-based application deployment workflows on Kubernetes using ArgoCD;
• Integrated the client's engineering team into the new technologies and tools, serving as the natural technical lead.