Edison Scientific
Member of Technical Staff, Cloud Software Engineer
$175K–$240K
San Francisco · On-site · Staff · Full-time · Posted Sep 4, 2026
- Experience
- 4+ years building and operating backend or infrastructure systems in production.
About the job
Builds and operates cloud deployment systems that let Edison’s AI scientific discovery platform run securely in enterprise clients’ cloud environments.
What you'll do
- Design and operate deployments across AWS and GCP, including infrastructure tooling and automation for BYOC.
- Support enterprise client deployments and onboarding, partnering with client engineering and security teams.
- Improve BYOC operations and contribute to architecture, security, reliability, and observability.
What they ask for
- Proficiency in Python for backend development and infrastructure tooling.
- Deep familiarity with AWS/GCP, security, and deployment operations.
- Strong understanding of application network architecture, including VPCs, DNS, secrets, and proxies.
- Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or Crossplane) and GitOps workflows; strong communication skills and comfort working with enterprise clients.
Nice to have
- Experience with Kubernetes, multi-tenant architectures, or customer-controlled environments.
- Experience with AI applications or scientific computing solutions.
Pay
$175K – $240K USD base salary
Tools
Python, AWS, GCP, Terraform, Pulumi, Crossplane, GitOps, Kubernetes
AI focus
Enables deployment of an AI scientist platform for scientific discovery; AI application experience is preferred.
Model-written summary · the original posting is authoritative