Senior Software Engineer, Production Engineering (Cloud & On-Prem) - W&B

CoreWeave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end-to-end platform to develop, deploy, and iterate AI faster. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME100 most influential companies of 2024. By bringing together CoreWeave’s industry-leading cloud infrastructure with the best-in-class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high-performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform. Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of CoreWeave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

About the Role

The Production Engineering team builds and operates the platform that lets CoreWeave's engineers ship software quickly, reliably, and safely. We own the observability systems, reliability tooling, incident management systems, and the infrastructure-as-code that underpins our engineering organization's ability to deliver software to our enterprise customers across GCP, AWS, Azure, and self-hosted, on-premises environments. Our mission is simple: you build it, you deploy it, you run it – and we build the tools and processes that make owning your service in production straightforward and safe.

We are seeking a Senior Production Engineer with deep expertise across both cloud and on-premises environments to design, build, and operate the reliability platform at the core of CoreWeave's engineering organization. This is a hands-on DevOps/SRE-flavored role: you'll work across infrastructure-as-code, CI/CD, observability, and incident systems – automating away toil and giving service teams the visibility and guardrails they need to run their own code in production. You'll evolve our systems to meet increasingly challenging scale, reliability, and performance demands, and own large, ambiguous operational problems end to end. You'll also provide technical leadership across the team, partnering with senior and principal engineers to influence direction and drive outcomes for cross-functional stakeholders. We care deeply about a sustainable on-call culture, so you'll participate in on-call rotations while championing the architecture and automation that reduce on-call burden over time.

Responsibilities

• Design, build, deploy, and operate critical reliability and infrastructure services across AWS, GCP, Azure, and on-premises / hybrid environments.
• Improve error attribution and alert routing, automatically routing errors and pages to the team that owns the affected service, so engineers are only on-call for what they own.
• Own observability patterns, SLI/SLO frameworks, service catalog metadata, and dashboards that give teams visibility into their services from code change through production.
• Build release-safety systems – canary deployments, smoke tests, staged rollouts, and reliable roll-back / roll-forward – so shipping to production is fast and safe.
• Advance the incident and on-call program – incident tooling, on-call rotations, runbooks, and operational readiness reviews; measure incident volume by team to focus reliability investment.
• Reduce on-call burden through better architecture, automation, and observability – and participate in on-call rotations yourself.
• Provision and manage infrastructure with Terraform and drive manual, incident-time operations toward automated, repeatable infrastructure-as-code.
• Break down and solve large, ambiguous operational problems, turning them into well-scoped, shippable engineering work.
• Provide technical leadership and mentorship, work alongside senior and principal engineers, and influence the broader technical direction of the platform.

Requirements

• Extensive engineering experience designing, building, deploying, and operating critical production infrastructure and services across a large enterprise.
• Expert in one or more major public clouds (AWS, GCP, or Azure).