C
CoreWeave
Software Engineer (Developer Experience)
Skills
PythonGolangAIKubernetes
2 months ago
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Important information
Contract type:
Permanent
Salary:
$109,000 – $204,000 / year
Location:
Sunnyvale, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- 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 an engineer who can work independently on well-defined platform problems, bring real ownership to their work, and grow quickly in a high-impact environment
- You’ll ship features across the DevEx stack - from CI pipeline components and test tooling to artifact APIs and agentic developer integrations
- Design and implement well-scoped features across the DevEx platform with minimal day-to-day supervision — CI (continuous integration) pipeline components, test experience tooling, delivery systems, artifact APIs, ephemeral developer environment services, and agentic developer integrations
- Take end-to-end ownership of platform features. Write the design doc, ship the implementation, validate behavior in production, and follow through on issues until they’re resolved
- Contribute to the agentic developer platform. Implement MCP server endpoints, tool SDKs, or integrations that expose DevEx capabilities to LLMs and autonomous agents in structured, safe ways
- Build and maintain services for artifact publishing, retrieval, and version management that reliably serve engineering teams at scale
- Identify inefficiencies and reliability gaps in developer workflows, from code authoring to deployment, and propose concrete improvements with clear rationale
- Participate actively in design and code reviews, sharing your perspective on implementation approaches, surfacing risks, and giving constructive feedback to peers
- Help onboard new hires and interns, sharing context on team systems and development practices- Proficiency in Go, Python, or a similar language; experience shipping services in cloud-native environments
- Curiosity about AI-powered developer tooling. You’re interested in how LLMs and agents can accelerate developer workflows, and you want to help build that
- Collaborative team player who participates in design discussions and gives and receives feedback well
- 2+ years of professional software engineering experience building and shipping production software
- Familiarity with Kubernetes basics, such as how workloads are defined, scheduled, and operated at the cluster level
- Working knowledge of CI/CD systems. You’ve used them, debugged them, and have a growing sense of how they’re built
- Solid engineering fundamentals. You write clean, testable, well-structured code and understand how to design for reliability and maintainability at a component level
- Ownership mentality. You follow through on commitments, communicate proactively when plans change, and close loops without being asked
- Experience contributing to CI infrastructure or developer tooling (pipeline execution, build optimization, test reliability improvements, delivery and deployment)
- Familiarity with ephemeral and hermetic development environments and the platform services that power them
- Experience with artifact management, storage systems, or APIs for publishing and retrieving versioned software artifacts (e.g. JFrog Artifactory, Cloudsmith, or OCI registries)
- Familiarity with LLM-integrated developer tooling, such as MCP servers, tool-augmented agents, AI code generation, or agentic test generation systems
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