Senior Software Engineer, Production Engineering (Cloud & On-Prem) - W&B
Weights & Biases
| Company | Weights & Biases |
| Category | Uncategorised |
| Location | Livingston |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 23 Jul 2026 |
| Last verified | 6 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
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.
As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.
What You’ll Do
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.
About the Role
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 – from error attribution and alert routing to release safety and capacity planning. 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.
In this role, you will:
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, sm