Daniel Esponda is a Staff Software Engineer with 10+ years building large-scale CI/CD and SRE platforms, currently designing AI-driven DevX Flow at Datadog to autonomously shepherd PRs through the SDLC. He architects coordination and guardrail systems—claim locks, cost circuit breakers, loop detection, and composable pipelines—that let many background agents operate safely across thousands of PRs. Previously he led CI infrastructure handling 13M+ builds/month, cutting pipeline time from 70 to under 12 minutes and delivering $7M in annual cost savings through intelligent scheduling and caching. His background spans multi-region Kubernetes at 5,000+ node scale, compliance-bound environments, and incident command for enterprise outages. Comfortable in Go, Python, Kubernetes, AWS/GCP and Terraform, he blends deep systems engineering with product-focused automation. An understated strength: he consistently turns operational pain points into platform primitives that scale across hundreds of teams.
11 years of coding experience
13 years of employment as a software developer
Bachelor of Science (B.S.) Computer Software Engineering with Computer Networks Focus, Bachelor of Science (B.S.) Computer Software Engineering with Computer Networks Focus at The University of Texas at Dallas
chaoskube periodically kills random pods in your Kubernetes cluster.
Contributions:1 PR, 6 pushes, 2 branches in 5 years 5 months
k8skubernetespodskubernetes-clustercluster
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.