Staff Software Engineer (Developer Experience)

• CoreWeave is The Essential Cloud for AI™ — the infrastructure that the world’s leading AI labs, researchers, and enterprises depend on
• The Developer Experience (DevEx) team owns the platform, services, and systems that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence
• Our scope spans the full developer lifecycle: CI (continuous integration) and build infrastructure, test experience, delivery systems, artifact storage and distribution, internal developer platforms, and the agentic AI tooling that is redefining how engineers move from idea to production
• This is a role for a technical leader who operates across team boundaries
• You’ll own the hardest problems in developer productivity at CoreWeave, by setting the technical strategy for DevEx, removing systemic friction across the engineering org, and shaping the agentic developer platform that will define how engineers build software here for years to come
• Define and drive the technical strategy for the DevEx platform. Set the long-term architectural direction across CI pipeline infrastructure, test experience, delivery systems, artifact management, and agentic developer tooling, balancing engineering excellence with business priorities and org-wide scale
• Solve the highest-complexity developer productivity problems at CoreWeave. Identify systemic bottlenecks that span teams, design solutions that operate reliably across 40+ data centers, and drive execution from architecture through production
• Lead the agentic developer platform from a technical standpoint. Evolve the architecture of MCP servers, tool integration, and agent-accessible DevEx APIs so that autonomous workflows become a first-class primitive for every engineer at CoreWeave
• Drive cross-team technical initiatives. Work across DevEx, infrastructure, security, SRE, and product engineering to align on platform direction, resolve deep architectural trade-offs, and establish engineering standards that raise the bar org-wide
• Mentor and develop Senior II engineers. Actively coach ICs, elevate technical decision-making across the team, and build the engineering depth needed to sustain DevEx as CoreWeave scales
• Proactively reduce systemic risk. Identify technical debt and reliability gaps before they become incidents, and drive durable improvements to platform resilience, efficiency, and developer trust

A track record of growing senior engineers and building technical strength in the teams around you. You are an inspiring leaderProven ability to influence technical decisions at the organization level, build alignment across teams with competing priorities, and communicate clearly with engineering leadershipExperience with or strong leadership interest in AI-native developer tooling, including agentic frameworks, LLM-integrated developer workflows, or autonomous software development agentsDemonstrated ability to define and execute multi-year technical strategies across complex, cross-team domainsExpertise in Kubernetes and IaaC (Infrastructure as Code) at the platform design level. You understand the scheduler, the API machinery, and the extension pointsProficiency in Go, Python, or similar languages with a track record of shipping large-scale production services in cloud-native environments10+ years of software engineering experience with significant time spent building and owning production developer platforms, build infrastructure, or large-scale distributed systemsDeep 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 whyDeep 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 ephemorpdevelopment environment infrastructureHands-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 environmentsExperience 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-addPrior experience as a technical lead or system architect on a platform or infrastructure team with broad engineering org impact

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