Edison Scientific
Member of Technical Staff, Senior AI Infrastructure Engineer
$175K–$240K
San Francisco +2 · On-site · Staff · Full-time · Posted Sep 4, 2026
- Location
- San Francisco
New York
Boston - Experience
- 6+ years of software, infrastructure, platform, or DevOps engineering experience.
About the job
Designs, scales, and operates Kubernetes infrastructure that supports autonomous scientific research agents and related services.
What you'll do
- Build and improve Kubernetes infrastructure, scaling, resource management, and deployment tooling.
- Implement monitoring and observability, support storage, networking, and security, and troubleshoot production issues.
- Partner with backend, ML, and research teams to deliver reliable infrastructure and operational practices.
What they ask for
- Experience 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.
Nice to have
- Security experience with gvisor/kata containers and snapshots.
Pay
$175K – $240K (base salary)
Tools
Kubernetes, AWS, GCP, Azure, Python, Go, Java, TypeScript
AI focus
Builds and operates infrastructure for AI scientist agents performing long-running scientific research.
Model-written summary · the original posting is authoritative