Science is an early stage company developing technologies for a range of serious unmet medical needs. We are unafraid to take difficult technical risks, secure in the knowledge that with a clear understanding of what we are doing and with support from powerful modern tools, more progress is possible than might be immediately obvious. Regardless of role or team, the two most important factors we look for in a candidate are evidence of exceptional ability and the addition of positive energy to the group. As a small, very early stage team in a largely unstructured environment, the ability to independently orient yourself to the problems that need to be solved and then follow through is essential.
We are looking for an Infrastructure Engineer to build and scale the digital infrastructure that runs Science. Our environment is complex and varied, including: Rails and Next.js applications both as internal tools as well as customer-facing production services; microservices that handle everything from robotic cell culture scheduling to MEMS design rule checking; biological and MEMS foundry robotic automation orchestration; large-scale storage for scientific data and GPU clusters for machine learning workflows; and more.
As a young company, we currently are managing much of this ad hoc and it's time to mature our infrastructure tooling. As our first DevOps hire, you'd be responsible for selecting and implementing appropriate tools for solving our operational bottlenecks, and collaborate with engineering teams to deploy modern best practices like containerization as appropriate while making pragmatic trade-offs to minimize overall complexity.
Key qualifications:
- 3+ years setting up and administering Linux-based systems
- Experience with tools like Docker, Terraform, and Kubernetes
- Experience managing on-prem servers and network infrastructure as well as hybrid cloud deployments
- Demonstrated history of clearly understanding engineer needs, and building simple, robust systems to address them.
- Fluency in at least Python and/or Ruby.
Preferred qualifications:
- Software engineering experience that goes beyond system administration.
Salary/Pay Range:
For individuals hired to work in California, Science is required by law to include a reasonable estimate of the compensation range for this role. We determine your level based on your interview performance and make an offer based on geo-located salary bands. The base salary range for this full-time position is $125,000-$175,000 annually + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please keep in mind that the equity portion of the offer is not included in these numbers.
Benefits:
At Science, our benefits are in place to support the whole you:
- Competitive salary and equity
- Medical, dental, vision and life insurance
- Flexible vacation and company-paid holidays
- Healthy meals and snacks provided for non-remote employees
- Paid parental, jury duty, bereavement, family care and medical leave
- Dependent Care Flexible Spending Account, subsidized by Science
- Flexible Spending Account
- 401(k)
Science Corporation is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work.
We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Science will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.
