Principal Platform Engineer
Posted
$200,000 USD
Tech Stack
Responsibilities
- Architect, implement, and operate Kubernetes clusters for thousands of concurrent, persistent resources with high availability and efficient resource utilization.
- Design and develop custom resource definitions (CRDs) and Kubernetes operators to model and manage domain-specific workloads such as AI agent lifecycles and research pipelines.
- Drive the strategy for cluster scaling, node pool management, autoscaling policies, and resource quota frameworks to handle rapid workload growth.
- Build and maintain infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible, version-controlled environment management.
- Establish and uphold best practices around observability, monitoring, alerting, and incident response for infrastructure systems (Prometheus, Grafana, Datadog, or similar).
Benefits
- 401k
- Equity
- Gym Membership
Culture
Mission-DrivenFast-PacedCollaborative SpaceFree Meals/Snacks
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About Edison Scientific
Industry: biotech
Size: startup
Edison Scientific builds and commercializes AI agents for scientific discovery, aiming to accelerate the process by building an AI scientist.
View company profile →Compensation
Base salary: $200,000 USD
Equity: Offers equity