Sr. Infrastructure Engineer

Edison Scientific
San Francisco, CA

About


Edison Scientific focuses on building and commercializing AI agents for science, and shares FutureHouse’s mission to build an AI Scientist - scaling autonomous research, productizing it, and applying it to critical challenges such as drug development.

Role


As a Senior Infrastructure Engineer, you'll play a key role in designing, scaling, and operating the core platform infrastructure that powers autonomous scientific discovery. Your primary focus will be the orchestration for our agents at scale — building and managing clusters that orchestrate thousands of persistent, stateful workloads, developing custom resource definitions (CRDs) and operators, and ensuring the reliability and efficiency of our compute layer at scale.

Our mission is to build an AI scientist, and you'll own the infrastructure foundation it runs on. AI agents performing long-running scientific research demand resilient scheduling, lifecycle management, and resource orchestration far beyond typical cloud-native workloads. This role will influence platform architecture, establish infrastructure best practices, and partner closely with backend engineers, ML engineers, and researchers to deliver a production-grade environment that lets science move faster.

At Edison Scientific, engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.

Responsibilities



  • Architect, implement, and operate Kubernetes clusters that support thousands of concurrent, persistent resources (agents, jobs, services) 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, research pipelines, and long-running compute tasks.

  • 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.

  • 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



  • 5+ years of professional infrastructure or platform engineering experience, with deep hands-on Kubernetes expertise in production environments.

  • Experience designing and implementing custom resource definitions (CRDs) and Kubernetes operators (using frameworks such as Kubebuilder, Operator SDK, or controller-runtime).

  • Track record of operating and scaling Kubernetes clusters supporting thousands of persistent or long-lived resources (stateful workloads, persistent pods, long-running jobs).

  • Deep understanding of Kubernetes internals — API server, etcd, scheduler, controller manager, kubelet — and how they behave at scale.

  • Expertise 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.

Bonus points for:


  • Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.

  • Prior experience in startups or small teams with significant architectural ownership and ambiguity.

  • Experience scaling systems, teams, or platforms through periods of rapid growth.

Location + Compensation


  • Collaboration is at the heart of discovery. We work on-site to stay close to the science, move faster as a team, and share the kind of energy that only happens when smart, curious people build together- in a space that we love to be in!


    • Location: San Francisco (Dogpatch)


  • At Edison Scientific, we know that titles can cover a range of experience levels. Actual base pay will depend on factors such as skills, experience, and scope of responsibility. Compensation ranges may evolve as we continue to grow. In addition to base pay, team members are eligible for equity, benefits, and other perks.


    • Compensation: $200,000- $350,000+ and equity

Posted 2026-02-19

Recommended Jobs

Senior Associate, Internal Audit and Control

San Francisco, CA

Job ID: 281294 Location Name: CA-FSC SF Off (0174) Address: 350 Mission St, 20th Floor, San Francisco, CA 94105, United States (US) Job Type: Full Time Position Type: Regular Job Fun…

View Details
Posted 2026-03-21

SFO IT Service Specialist - San Francisco

Boston Consulting Group
San Francisco, CA

SFO IT Service Specialist - San Francisco, United States of America Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges an…

View Details
Posted 2026-04-03

Field Service Engineer

California

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and…

View Details
Posted 2026-04-03

Electrical Engineer

K2 Staffing
Carlsbad, CA

Summary    Our client is a highly recognized manufacturer located in North County San Diego (Carlsbad, CA) that has been in existence for over 50 years. They are seeking a mid-level Contract Elec…

View Details
Posted 2026-02-25

Product Repair Technician

Belcan
Simi Valley, CA

Job Title: Product Repair Technician Pay Range: $26.60 Location: Simi Valley, CA Area Code: 805 ZIP Code: 93063 Start Date: Right Away Shift: 1st shift - M-F 7:00AM-3:30PM Keywords: #ProductRep…

View Details
Posted 2026-03-03

Senior Merchandising Manager

Consultative Search Group
Buena Park, CA

Summary: We are seeking an experienced and highly motivated Senior Merchandising Manager to join our team. In this role, you will be responsible for driving the strategic direction of merchandisin…

View Details
Posted 2026-01-15

Forward Deployed Engineer

San Francisco, CA

Forward Deployed Engineer We are working with a venture-backed technology company building next-generation AI and data infrastructure platforms used by enterprise organisations to solve complex op…

View Details
Posted 2026-03-09

Outlet Manager

The Huntington Hotel
San Francisco, CA

Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America,…

View Details
Posted 2026-04-03

Territory Sales Representative - Fleet Service

Transwest Mobile Truck & Trailer
Fontana, CA

Transwest Mobile Fleet Solutions The Opportunity Transwest Mobile Fleet Solutions is hiring a field-based sales professional focused on building long-term fleet partnerships through recurring mai…

View Details
Posted 2026-02-28