Solutions Architect
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Requirements
- 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
- You love diving into infrastructure problems and solving them systematically
- You're curious about how to scale complex ML systems in production environments
- You're an expert in building and running containerized, distributed systems
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best-in-Class Client Experiences
- Achieve More Together
Benefits
Additional Information
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.
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Company Intel
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