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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