Member of Technical Staff, Infrastructure Engineer

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

About Us

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

About Us

Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.

The Role

As a Member of Technical Staff, Infrastructure Engineer, you'll play a key role in designing, scaling, and operating the core platform infrastructure that powers autonomous scientific discovery.

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 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.

This role is on‑site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

This position is part of the Infrastructure team.

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, 4+ 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.

Bonus points for

• Security like experience with gvisor/kata containers, snapshots

Salary

$175,000 - $240,000

• Offers equity

Why join us?

• Competitive salary and equity
• Full healthcare coverage; we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• Mental health support through Rula, our in‑network therapist and psychiatrist network with fast availability
• 12 weeks of paid parental leave for maternity, paternity, and adoption
• Pet care support with a yearly employer‑funded stipend for your animal companions
• Commuter benefits so you can pay for transit and parking with pre‑tax dollars
• 401(k) company matching
• $300 health and wellness benefit quarterly
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team off‑sites and company events

Edison Scientific is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Compensation Range: $175K - $240K