Senior Solutions Architect - Weights & Biases

Confirmed live in the last 24 hours

CoreWeave

Compensation

$180,000 - $200,000/year

Livingston, NJ / New York, NY / San Francisco, CA / Sunnyvale, CA / Bellevue, WA

Hybrid

Posted April 3, 2026

Job Description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.

What You’ll Do
Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on-prem environments while delivering a best-in-class experience that accelerates ML adoption at scale.

About the Role
As a Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on-prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation. You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.

Who You Are

Proven track record of systematically diagnosing and resolving infrastructure issues
Experience in a customer-facing technical role
Expertise in Docker, Kubernetes, Helm charts, networking, and cloud-managed services (e.g., MySQL, Object Stores)
Strong fundamentals in Infrastructure as Code (IaC), preferably Terraform
Proficiency with at least one cloud platform (AWS, GCP, Azure); experience across multiple platforms is a plus
Strong Linux/Unix command line experience
Basic proficiency in Python and familiarity with ML workflows or tools

Preferred

Deep proficiency in Kubernetes design patterns, including Operators
Familiarity with data engineering and MLOps tooling
Experience as an educator or facilitator for technical training sessions, workshops, or demos
SaaS, web service, or distributed systems operations experience

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