Strengthen Affirm’s Amazon EKS platform remotely from Canada through workload isolation, cluster scaling, and Kubernetes operational excellence. Help protect critical paths such as checkout.
This senior platform engineering role sets standards for services, batch jobs, and ML workloads across more than 85 EKS clusters. You will determine safe cluster limits, analyze resource profiles, and develop control plane scaling patterns. You will also turn recurring runtime failures into systemic fixes.
Key Responsibilities:
- Isolate workloads by criticality and resource profile
- Determine safe operating limits for each cluster
- Develop control plane scaling patterns for bursty workloads
- Analyze CPU, memory, disk, and network resource profiles
- Participate in on-call for Kubernetes runtime issues
Requirements:
- Five-plus years running Kubernetes in production at scale
- Experience with Amazon EKS across many clusters
- Robust understanding of pod lifecycle and disruption management
- Production debugging skills and systemic incident-fixing ability
- Experience quantifying availability, latency, and cost impacts
Bring EKS platform engineering, Kubernetes scheduling, and resource analysis skills to improve workload safety across Affirm’s Canadian fleet.