Member of Technical Staff, Cloud Software Engineer

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.

• 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 engagement capacity.
• Contribute to technical decision making and architecture for our BYOC product.
• Harden the security, reliability, and observability of deployments running in environments we don't fully control.

• 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 and comfort working directly with enterprise clients.

• Experience with Kubernetes, multi-tenant architectures, or deploying software into customer-controlled environments.
• Experience with AI applications or scientific computing solutions.
• Prior experience in startups or small teams with significant architectural ownership and ambiguity.
• Experience scaling systems or platforms through periods of rapid growth.

WHY JOIN US?

We're a fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it. We also offer full-time employees the following:

• Competitive salary and equity
• Full healthcare coverage; we pay 100% of premiums for you and your dependents
• Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
• Mental health support through Rula, our in-network therapist and psychiatrist network with fast availability
• 12 weeks of paid parental leave for maternity, paternity, and adoption
• Pet care support with a yearly employer-funded stipend for your animal companions
• Commuter benefits so you can pay for transit and parking with pre-tax dollars
• 401(k) company matching
• $300 health and wellness benefit quarterly
• Lunch is on us every day you're in the office, and dinner is on us when you're working late
• Regular team off-sites and company events

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.