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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