Senior Infrastructure Engineer: Kubernetes for AI Platform

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

Benefits offered by this job

Healthcare coverage

Equity

Parental leave

Mental health support

Fertility coverage

401(k) company match

Wellness stipend

Lunch provided

Job summary

Edison Scientific is seeking a Senior Infrastructure Engineer to design, scale, and operate the core platform infrastructure powering autonomous scientific discovery. You will own infrastructure foundations, ensuring resilient scheduling, lifecycle management, and resource orchestration for AI scientist workloads.

You will collaborate with backend, ML, and research teams to deploy production-grade environments, drive best practices, and deliver reliable infrastructure that accelerates science.

Qualifications

• Typically, 6+ years of software, infrastructure, platform, or DevOps engineering experience.
• Experience working with Kubernetes in development or production environments.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Proficiency in at least one programming language such as Python, Go, Java, or TypeScript.
• Experience with infrastructure-as-code tools such as Terraform, Pulumi, or similar technologies.
• Understanding of containerized applications, networking fundamentals, and distributed systems concepts.
• Experience using CI/CD pipelines, version control systems, and automated testing practices.
• Ability to work independently while collaborating effectively across teams.
• Curiosity, strong problem-solving skills, and a desire to learn new technologies.

Responsibilities

• Build, maintain, and improve Kubernetes-based infrastructure that supports agent workloads, research services, and internal platforms.
• Contribute to cluster scaling, resource management, and operational improvements as platform usage grows.
• Develop and maintain infrastructure tooling, automation, and deployment workflows that improve reliability and developer productivity.
• Help implement monitoring, observability, and alerting systems to ensure platform health and performance.
• Support storage, networking, and security initiatives within our Kubernetes environments.
• Troubleshoot infrastructure and production issues across distributed systems and participate in incident response efforts.
• Collaborate with backend, ML, and research teams to understand workload requirements and implement reliable infrastructure solutions.
• Contribute to infrastructure best practices, documentation, and operational processes.

Skills

Kubernetes experience

Cloud platforms (AWS/GCP/Azure)

Programming languages (Python/Go/Java/

CI/CD pipelines

Infrastructure-as-code (Terraform, Pul

Distributed systems concepts

Networking fundamentals

Tools

Kubernetes

Terraform

Pulumi

CI/CD tooling (GitHub Actions, Jenkins)

Job description

Edison Scientific is seeking a Senior Infrastructure Engineer to design, scale, and operate the core platform infrastructure powering autonomous scientific discovery. You will own infrastructure foundations, ensuring resilient scheduling, lifecycle management, and resource orchestration for AI scientist workloads.

You will collaborate with backend, ML, and research teams to deploy production-grade environments, drive best practices, and deliver reliable infrastructure that accelerates science.