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CoreWeave

Rents GPU cloud computing for AI developers

Staff Software Engineer - Developer Experience

Software EngineeringUpdated on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 10 years of software engineering experience, including significant experience building and owning production developer platforms, build infrastructure, or large-scale distributed systems.
  • A bachelor's degree in Computer Science, Engineering, or a related technical field is required.
  • Ability to define and execute multi-year technical strategies across complex, cross-team domains.
  • Deep systems design expertise, including designing for correctness, scalability, and long-term maintainability, with strong knowledge of API design, service architecture, and platform abstractions.
  • Proficiency in Go, Python, or similar languages, with a record of shipping large-scale production services in cloud-native environments.
  • Expertise in Kubernetes and Infrastructure as Code at the platform design level, including understanding its scheduler, API machinery, and 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.
  • Ability to influence organization-level technical decisions, build alignment across teams with competing priorities, and communicate with engineering leadership.
  • A track record of growing senior engineers and building technical strength in teams.

Responsibilities

  • Define and drive the technical strategy for the Developer Experience platform, setting long-term architectural direction across CI pipeline infrastructure, test experience, delivery systems, artifact management, and agentic developer tooling while balancing engineering excellence with business priorities and organization-wide scale.
  • Identify systemic developer productivity bottlenecks spanning teams, design reliable solutions for 40 or more data centers, and drive execution from architecture through production.
  • Lead the agentic developer platform technically by evolving the architecture of MCP servers, tool integration, and agent-accessible Developer Experience APIs so autonomous workflows become a first-class capability for engineers.
  • Drive cross-team technical initiatives across Developer Experience, infrastructure, security, site reliability engineering, and product engineering; align platform direction, resolve architectural trade-offs, and establish engineering standards across the organization.
  • Mentor and develop Senior II individual contributors, coach engineers, elevate technical decision-making across the team, and build the engineering depth needed as Developer Experience scales.
  • Identify technical debt and reliability gaps proactively and drive durable improvements to platform resilience, efficiency, and developer trust.

Desired Qualifications

  • A master's degree is preferred.
  • Deep expertise in one or more Developer Experience domains, including large-scale continuous integration, build and test systems such as Bazel, Buildkite, remote execution, or caching; deployment using GitOps or 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 delivering agentic systems at scale, including designing MCP servers, agent governance models, or tool-augmented LLM workflows that operate reliably in production and deliver consistent user-facing value.
  • Prior experience as a technical lead or system architect on a platform or infrastructure team with broad engineering organization impact.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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