10+ years of software engineering experience with significant time spent building and owning production developer platforms, build infrastructure, or large-scale distributed systems
Bachelor's degree in Computer Science, Engineering, or a related technical field. Master's degree preferred
Demonstrated ability to define and execute multi-year technical strategies across complex, cross-team domains
Deep systems design expertise. You design for correctness, scalability, and long-term maintainability. You have strong opinions on API design, service architecture, and platform abstractions, and you can articulate why
Proficiency in Go, Python, or similar languages with a track record of shipping large-scale production services in cloud-native environments
Expertise in Kubernetes and IaaC (Infrastructure as Code) at the platform design level. You understand the scheduler, the API machinery, and the extension points
Experience with or strong leadership interest in AI-native developer tooling, including agentic frameworks, LLM-integrated developer workflows, or autonomous software development agents
Proven ability to influence technical decisions at the organization level, build alignment across teams with competing priorities, and communicate clearly with engineering leadership
A track record of growing senior engineers and building technical strength in the teams around you. You are an inspiring leader
Deep expertise in one or more DevEx domains, including large-scale CI, build and test systems (Bazel, Buildkite, remote execution, caching), deployment (GitOps, ArgoCD), artifact storage and distribution, or ephemeral development environment infrastructure
Hands-on experience designing and operating progressive delivery systems at scale, including SLO-based quality gates, automated multi-stage pipeline orchestration, and custom Kubernetes operators, across heterogeneous deployment environments
Experience architecting and landing agentic systems at scale, including designing MCP servers, agent governance models, or tool-augmented LLM workflows that operate reliably in production with consistent user-facing value-add
Prior experience as a technical lead or system architect on a platform or infrastructure team with broad engineering org impact