Edison Scientific
Member of Technical Staff, AI Infrastructure Engineer
$175K–$240K
San Francisco +2 · On-site · Staff · Full-time · Posted Aug 25, 2026
- Location
- San Francisco
New York
Boston - Experience
- 4+ years of software, infrastructure, platform, or DevOps engineering experience.
About the job
Design, scale, and operate Kubernetes-based infrastructure that supports autonomous scientific research agents and related platform services.
What you'll do
- Build and improve Kubernetes infrastructure, cluster scaling, resource management, and deployment tooling.
- Implement monitoring, observability, and alerting; support storage, networking, and security initiatives.
- Troubleshoot production and distributed-systems issues, participate in incident response, and collaborate with engineering and research teams.
What they ask for
- Experience working with Kubernetes in development or production environments.
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Proficiency in at least one of Python, Go, Java, or TypeScript; experience with infrastructure-as-code tools such as Terraform or Pulumi.
- Understanding of containerized applications, networking, distributed systems, CI/CD, version control, and automated testing.
Nice to have
- Security experience with gVisor/Kata Containers or snapshots.
Pay
$175K – $240K USD base salary
Tools
Kubernetes, AWS, GCP, Azure, Python, Go, Java, TypeScript
AI focus
Build and operate the infrastructure foundation for AI scientist agents performing long-running scientific research.
Model-written summary · the original posting is authoritative