Member of Technical Staff, Cloud Software Engineer

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 Software Engineer on our Cloud team, you'll play a key role in building and scaling the technology powering our autonomous scientific discovery platform. Our largest enterprise clients have compliance and security limitations which limit first-party data access to systems running within their own cloud infrastructure. These datasets are uniquely valuable assets; when combined with our scientific platform, Edison's enterprise partners are able to power novel drug or materials discovery campaigns at massive scale. The cloud team's mandate is to conquer the gnarly complexity that comes with these "bring your own cloud" engagements such that our platform is deployable within client cloud infrastructure. Our mission is to build an AI scientist, and you'll be part of the team which enables Edison to scale to the largest research organizations in the world. You'll have significant ownership over the architecture and operations of our cloud deployment product, working alongside a small team of experienced engineers who care deeply about building world class software. This role is on-site at our San Francisco office in [... source excerpt omitted ...] ilings, open space, and a team that genuinely believes in what they're building. Responsibilities Design, build, and operate the systems that make our platform deployable within client cloud infrastructure across AWS and GCP. Develop operators, infrastructure tooling, and automation that streamline our bring your own cloud (BYOC) deployment process. Support client deployments and onboarding hands-on, working directly with enterprise clients' engineering and security teams. Partner with our forward deployed engineering team to scope requirements and deliver on inflight engagements. Diagnose and solve bottlenecks in our BYOC process to streamline operations and expand our e [... source excerpt omitted ...] chnical decision making and architecture for our BYOC product. Harden the security, reliability, and observability of deployments running in environments we don't fully control. Qualifications 4+ years of experience building and operating backend or infrastructure systems in production. Proficiency in Python for backend development and infrastructure tooling. Deep familiarity with cloud products (AWS/GCP), security, and deployment operations. Strong understanding of application network architecture including VPCs, DNS, secrets, proxies, etc. Hands-on experience with infrastructure-as-code tools (Terraform, Pulumi, or Crossplane) and GitOps workflows. Strong communication skills