Staff Software Engineer
Asimov
Our mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform--from cells to software--to enable the design and manufacture of next-generation therapeutics.
What would software engineering be like without an IDE? How could humans design a modern plane without CAD? Genetic engineering will be even more demanding-and we're building the tools to make it possible. Kernel is our platform for bioengineers to design, build, and debug genetic systems as confidently as we ship code. We're looking for a Staff Software Engineer to help us build it. You'll join an interdisciplinary team that works directly with scientists, synthetic biologists, and computational biologists alongside your teammates in software engineering and product. About the Role:- Make architectural decisions that will shape Kernel for years, with real ownership over how the system evolves.
- Design GraphQL APIs for searching, editing and analyzing tens of thousands of genetic constructs using Python 3, SQLAlchemy and Strawberry.
- Architect data models that represent the genuine complexity of biological systems.
- Interface directly with synthetic biologists to understand their workflows and identify tools that would transform their productivity.
- Be part of an on-call rotation to support the software you've helped develop.
- You have 10+ years building production software - systems that other engineers depend on, not research code that runs once.
- You have deep expertise in Python 3, and ideally with GraphQL, SQLAlchemy, and/or Strawberry.
- You're the kind of engineer who loses track of time working on an interesting technical problem. You want challenges that will have you waking up with a new idea that you can't wait to try.
- You think about API design, data migrations, and what happens when the system has 10x usage.
- You want to help design a product with a close-knit team, not just write code from predefined specifications. You can navigate the ambiguity of building something first-of-its-kind.
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