Staff Site Reliability Engineer

• Design and maintain infrastructure as code solutions, thinking holistically about topology and component dependencies. You will have full responsibility for everything from Terraform plans to production observability.
• Automate customer infrastructure deployments, including multi-account provisioning, database setup, workflow orchestration, and application bootstrapping.
• Manage CI/CD pipelines, including build reliability, test stability, and deployment automation for Manifold services.
• Troubleshoot complex production issues across infrastructure, data, and application layers. Leverage LLM to the fullest extend to minimize toil and and manage date to date operations.
• Networking and security / compliance work required for highly regulated environments.

• 7+ years in infrastructure, DevOps, SRE, or platform engineering roles with increasing scope and autonomy. You are a leader / doer who can establish operational standards and drive technical direction while also staying hands-on.
• Deep, hands-on cloud (AWS, GCP, or Azure) experience, hands-on application development experience, and comfortable in troubleshooting application issues.
• Significant infrastructure-as-code (Terraform) experience. Strong CI/CD (Github Action) experience.
• Familiarity with identity systems (Okta, Auth0), containerized deployments (Docker, ECS, Packer) and networking tooling (Tailscale, WireGuard). Working knowledge of data platform services, such as Snowflake, Airflow, dbt, and PostgreSQL.
• Comfort managing complex, multi-account environments where customer isolation, security boundaries, and regulatory requirements add real constraints.
• You move fast, make sound calls with the information available, and reset quickly when things don't go as planned. And you have strong bias towards pragmatic, incremental process automation.
• You possess a track record of improving developer experience and reducing CI/CD friction.
• The ability to effectively and positively collaborate with platform engineer, professional services, and customer IT groups.
• You've built AI into how you work. You're curious about new tools, resourceful in applying them, and have concrete examples of how AI changed your output.
• You've done your homework on what it means to accelerate life sciences research and you can articulate why that mission matters to you.

• We offer the unique opportunity to work at the frontier of AI in life sciences, helping the world's leading research and clinical institutions adopt transformative technology.
• This is a high-autonomy, high-impact role where your work directly leads to positive customer outcomes that accelerate breakthrough science.
• You will gain exposure to a wide range of technical and business challenges across oncology, genomics, clinical data, and AI agent development.
• You will work with a collaborative team of engineers, scientists, and operators who are building something genuinely new and important.
• This is an opportunity to grow fast in a company that takes talent seriously. We offer strong compensation packages and excellent benefits.

The base salary range for this position is $160,000–$205,000 annually.

• Please note: Final offer amounts are determined by multiple factors, including prior experience and expertise, and may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K match or medical, dental or vision insurance).