Teams at GoDaddy

Build and deploy AI agents, intelligent applications, scalable backend services, APIs, and full-stack solutions. Integrate large language models, AI services, data platforms, and external APIs into customer-focused products. Collaborate with engineering, product, and cross-functional teams while contributing to cloud-native applications, data pipelines, distributed systems, testing, deployment, and production operations.

Lead the design and evolution of infrastructure, platforms, and services that run machine learning workloads in production. Build scalable distributed systems, cloud-native applications, CI/CD pipelines, observability, and ML model-serving infrastructure on AWS. Drive architecture, performance, reliability, cost optimization, and GPU workload management while collaborating with ML scientists, data engineers, and product teams. Mentor engineers and lead complex technical initiatives across a globally distributed organization.

Lead design, development, and production deployment of ML and generative AI solutions at scale. Drive personalization, pricing, experimentation, agentic AI, and simulation modeling. Partner with engineering and product teams, mentor engineers, influence technical strategy, and measure business impact through data-driven experimentation.