Principal Site Reliability Engineer, Machine Learning

CMT is looking for a Principal Site Reliability Engineer I, Machine Learning  to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT.

CMT is looking for a collaborative, customer-committed, and creative SRE team member who wants to join us in making roads safer by making drivers better! This is a hybrid role based in Cambridge, MA, with two days per week onsite.

Responsibilities:

• Use independent judgment and discretion to own SLOs, error budgets, and the operational health of Ray clusters running on AWS EKS and Databricks workloads on AWS EC2 across multiple accounts and regions
• Maintain the observability of uptime, availability, and scalability of EKS Ray and Databricks workloads using CloudWatch and Datadog, including defining alerting that maps to SLOs
• Operate and tune EKS Ray workloads at scale including autoscaling, GPU scheduling, and automated failure recovery
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