Senior/Staff Software Engineer- Machine Learning Infrastructure, Slack at Slack

Ideal for a Senior or Staff Software Engineer with deep experience in distributed systems, Kubernetes, and MLOps, who holds a related technical degree. **What

Work type: onsite

Location: Washington - Seattle | Georgia - Atlanta | Washington - Bellevue | Texas - Austin

Salary: $172,500 – $313,700/yr

Type: Full-time

Ideal for a Senior or Staff Software Engineer with deep experience in distributed systems, Kubernetes, and MLOps, who holds a related technical degree. **What makes it worth a look...** Salesforce is hiring for this full-time, on-site role with a competitive salary range of USD 172,500 - 313,700 per year, located in Seattle, WA; Atlanta, GA; Bellevue, WA; or Austin, TX. **You might be a good fit if you...** * Have significant experience building and operating distributed systems with expert-level Kubernetes knowledge. * Possess hands-on experience with ML infrastructure and serving stacks like Ray, KubeRay, or vLLM. * Are proficient with GPU infrastructure, performance optimization, and operational management. * Have experience with cloud-native systems on AWS, GCP, or Azure, including infrastructure as code.

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