Software Engineer Biology Jobs in Seattle, WA (NOW HIRING)

At Nautilus, we have a big and important mission: improve the health of millions by unleashing the potential of the proteome to accelerate drug development and enable a new world of precision and personalized medicine. We are developing a single-molecule protein analysis platform of unprecedented sensitivity, scale, and ease of use that we believe will democratize access to the proteome – one of the most dynamic and valuable sources of biological insight. To accomplish this, we are pursuing hard scientific problems with an entrepreneurial mindset and creating a world‑class team of builders, innovators, and dreamers across a wide range of disciplines.

We are hiring a full‑stack Senior Software Engineer II to join our growing team. As an early‑stage company bringing a first‑of‑its‑kind platform to market, this role is necessarily multi‑faceted: it combines hands‑on full stack development, a genuine passion for delivering great customer experiences, and technical leadership within the engineering organization. You will design and deliver major capabilities within our cloud‑based Discovery Platform where customers explore, visualize, and analyze their protein identification and quantification results. You will work closely with bioinformatics and biology teams to understand what our customers are trying to learn from their data and collaborate with the teams responsible for the pipelines and backend systems that transform raw instrument data into the results our customers depend on. Your technical and leadership contributions will have a meaningful impact on our team and the company on our path to the future.

This position will report to the Senior Manager, Software Engineering, and is located at our Seattle, WA office.

• You will own and deliver major capabilities within our Discovery Platform, from the interactive experiences our customers use to explore and understand their results, to the backend data systems that store, process, and serve the large and complex scientific datasets that power them. You will see these capabilities through their full lifecycle: design, development, deployment, and ongoing operation.

• You will bring genuine curiosity to the science behind the data, working alongside bioinformaticians, biologists, and product teams to deeply understand what our customers are trying to learn from their results and why it matters.

• You will collaborate with teams responsible for the ETL pipelines and algorithms that transform raw instrument data into the protein quantification results our customers depend on.

• You will lead with ownership. You will drive technical design, contribute to architecture decisions, and hold a high bar for security, reliability, and scale. You will also help develop the engineers around you through thoughtful code review, mentorship, and honest technical dialogue.

• You will embrace AI as a collaborative partner across the software development lifecycle. You are skilled at prompting and critically evaluating AI‑generated work, and you actively explore new ways AI can improve how we build and operate software.

• You have a minimum of 5 to 7 years of relevant experience in a high‑performing software engineering organization. A bachelor’s degree in computer science or a related field is required.

• You have a strong command of Python/FastAPI, React/TypeScript, and AWS cloud services. You have solid experience with relational databases and an understanding of columnar data stores. Familiarity with Parquet and query engines such as AWS Athena is a plus.

• You are customer obsessed. You understand that backend code is just as much a part of the customer experience as the interface they interact with. You want to know who our customers are, what they need, and how the systems you build enable them.

• You are focused on outcomes. You think in terms of impact delivered, not tasks completed. You hold yourself accountable to the difference your work makes for customers and for the business.

• You design software with its full lifecycle in mind. You have strong opinions about observability, and you understand that great software is software that can be confidently operated, monitored, and evolved long after it ships.

• We are curious go‑getters: this is a team of life‑long learners who aren’t afraid to tackle the big challenges while continuously pushing ourselves forward.

• We are detail oriented: we do great science by working smart and with diligence, and by learning from our mistakes.

• We are easy to work with: we want our workplace to be one where everyone can share their perspective and be treated with respect and kindness.