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

Ideal for a Senior or Staff Software Engineer with significant experience in infrastructure, backend systems, or MLOps, who also holds a related technical degre

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 significant experience in infrastructure, backend systems, or MLOps, who also holds a related technical degree. **What makes it worth a look...** Slack is hiring for this full-time, on-site role in Washington, Georgia, Washington, or Texas, with a generous salary range of USD 172,500 - 313,700 per year. This position is a chance to shape the future of AI at a leading company. **You might be a good fit if you...** * Have deep experience building and operating distributed systems, including expert knowledge of Kubernetes. * Possess hands-on experience with ML infrastructure and serving stacks like Ray, KubeRay, or vLLM. * Have experience with GPU infrastructure, including performance optimization and operational management. * Are skilled in data infrastructure and orchestration technologies such as Airflow or Spark. * Have experience building and operating cloud-native systems on AWS, GCP, or Azure.

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