Principal Software Engineer defining technical vision and architecture for Docker's internal developer tooling platform, covering platform engineering, CI/CD, and AI-powered tools. Requires 10+ years experience with 3+ years at Staff/Principal level, deep expertise in CI/CD, Kubernetes, observability, and AI/LLM integration.
Lead Docker's Bridge engineering organization of 30+ engineers, owning the technical strategy and platform infrastructure for billing, IAM, data, operations, and platform services. Drive proactive platform capabilities that power enterprise SaaS growth.
Lead a team of engineers building Docker's cross-platform runtime for AI workloads, owning technical direction, roadmap, and operational excellence. Requires strong systems programming experience and a deep understanding of virtualization and container runtimes.
Leads a team of data engineers, analysts, and scientists to build and optimize Docker's data framework, including modeling, governance, infrastructure, and ML foundations. Delivers actionable insights to engineering, product, GTM, and G&A teams while managing cross-functional data initiatives.
Principal Software Engineer defining technical vision and architecture for Docker's internal developer tooling platform, covering platform engineering, CI/CD, and AI-powered tools. Requires 10+ years experience with 3+ years at Staff/Principal level, deep expertise in CI/CD, Kubernetes, observability, and AI/LLM integration.
Lead Docker's Bridge engineering organization of 30+ engineers, owning the technical strategy and platform infrastructure for billing, IAM, data, operations, and platform services. Drive proactive platform capabilities that power enterprise SaaS growth.
Lead a team of engineers building Docker's cross-platform runtime for AI workloads, owning technical direction, roadmap, and operational excellence. Requires strong systems programming experience and a deep understanding of virtualization and container runtimes.
Leads a team of data engineers, analysts, and scientists to build and optimize Docker's data framework, including modeling, governance, infrastructure, and ML foundations. Delivers actionable insights to engineering, product, GTM, and G&A teams while managing cross-functional data initiatives.