Senior Infrastructure Engineer — Kubernetes & Cloud (SF, On-site)

Edison Scientific; San Francisco (CA); On-site; USD 175,000 - 240,000; Full time

Benefits offered by this job

Health care coverage

Equity offered

Parental leave

Job summary

Edison Scientific in San Francisco (Dogpatch) is seeking a Member of Technical Staff, Infrastructure Engineer, to design, scale, and operate the core platform infrastructure powering autonomous scientific discovery.

You will own the infrastructure foundation for an AI scientist, building resilient scheduling, lifecycle management, and resource orchestration, and collaborate with backend, ML, and research teams.

Qualifications

• 4+ years in infrastructure or platform engineering with hands-on Kubernetes in production.
• Experience with AWS EKS, GCP GKE, or Azure AKS and related networking/storage/IAM primitives.
• Proficiency in at least one backend language for operator development.
• Hands-on with IaC tools (Terraform, Pulumi, Crossplane) and GitOps workflows.
• Strong knowledge of container networking, storage, security, and RBAC.

Responsibilities

• Architect, implement, and operate Kubernetes clusters supporting thousands of concurrent resources with high availability.
• Drive cluster scaling, node pools, autoscaling, and resource quotas for rapid workload growth.
• Design robust scheduling, placement, and affinity strategies for heterogeneous workloads.
• Establish observability, monitoring, and incident response for infrastructure systems.
• Own storage and networking strategy within Kubernetes including CSI and ingress.
• Troubleshoot cross-system infrastructure issues and guide others in distributed environments.
• Collaborate with backend, ML, and research teams to translate workloads into infrastructure patterns.

Skills

Kubernetes experience

Cloud infrastructure

Operator development

Infrastructure tooling

Autonomy in work

Production readiness

Tools

Terraform

Pulumi

Crossplane

Job description

Edison Scientific in San Francisco (Dogpatch) is seeking a Member of Technical Staff, Infrastructure Engineer, to design, scale, and operate the core platform infrastructure powering autonomous scientific discovery.

You will own the infrastructure foundation for an AI scientist, building resilient scheduling, lifecycle management, and resource orchestration, and collaborate with backend, ML, and research teams.