Solutions Architect

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +4 · Global Field Organization

Weights & Biases is seeking a Solutions Architect to manage complex customer deployments of their ML platform across various environments. The role involves SRE and SA skills, focusing on provisioning, monitoring, debugging infrastructure, and ensuring performance and scalability. It requires customer-facing engagement, technical problem-solving, and collaboration with internal teams to drive adoption and influence the product roadmap. The ideal candidate has strong infrastructure, Kubernetes, cloud, and Linux experience, with basic Python and familiarity with ML workflows.

What you'd actually do

  1. managing complex customer deployments across AWS, GCP, Azure, and on-prem environments.
  2. 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.
  3. blends hands-on technical problem-solving with customer-facing engagement, including technical discussions, demos, workshops, and enablement content creation.
  4. work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.

Skills

Required

  • Docker
  • Kubernetes
  • Helm charts
  • networking
  • cloud-managed services (e.g., MySQL, Object Stores)
  • Infrastructure as Code (IaC)
  • Terraform
  • AWS
  • GCP
  • Azure
  • Linux/Unix command line
  • Python
  • ML workflows

Nice to have

  • Kubernetes design patterns, including Operators
  • data engineering
  • MLOps tooling
  • educator or facilitator for technical training sessions, workshops, or demos
  • SaaS, web service, or distributed systems operations experience

What the JD emphasized

  • managing complex customer deployments
  • debug and resolve infrastructure issues
  • ensure performance and scalability
  • customer-facing technical role
  • ML workflows