Member of Technical Staff, Infrastructure Engineer
Edison Scientific · New York, NY · 1 mo ago
On-siteInformation Technology$175k–$240k/yrFull-time
Responsibilities
- Architect, implement, and operate Kubernetes clusters that support thousands of concurrent, persistent resources (agents, jobs, services) with high availability and efficient resource utilization.
- Drive the strategy for cluster scaling, node pool management, autoscaling policies, and resource quota frameworks to handle rapid workload growth.
- Design and implement robust scheduling, placement, and affinity strategies to optimize cost, performance, and fault tolerance for heterogeneous workloads (CPU, GPU, memory-intensive).
- Establish and uphold best practices around observability, monitoring, alerting, and incident response for infrastructure systems (Prometheus, Grafana, Datadog, or similar).
- Own storage and networking strategy within Kubernetes — including persistent volume management, CSI drivers, service mesh, network policies, and ingress architecture.
- Troubleshoot complex, cross-system infrastructure issues and guide others through effective debugging and remediation in distributed environments.
- Collaborate closely with backend, ML, and research teams to understand workload requirements and translate them into reliable infrastructure patterns.
Qualifications
- Typically, 5+ years of professional infrastructure or platform engineering experience, with hands-on Kubernetes experience in production environments.
- Experience with cloud infrastructure (AWS EKS, GCP GKE, or Azure AKS) and associated networking, storage, and IAM primitives.
- Proficiency in at least one systems or backend language for operator development and infrastructure tooling.
- Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or Crossplane) and GitOps workflows.
- Strong working knowledge of container networking (CNI plugins, service mesh, network policies), storage (CSI, persistent volumes, StatefulSets), and security (RBAC, Pod Security Standards, secrets management).
- Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.