Senior Software Engineer II

Nautilus Biotechnology • Seattle, WA

3d • $164,000 - $221,000 • Onsite

About The Position

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.

Requirements

• 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.
• A strong command of Python/FastAPI, React/TypeScript, and AWS cloud services.
• Solid experience with relational databases and an understanding of columnar data stores.
• Customer obsessed. Understand that backend code is just as much a part of the customer experience as the interface they interact with. Want to know who our customers are, what they need, and how the systems you build enable them.
• Focused on outcomes. Think in terms of impact delivered, not tasks completed. Hold yourself accountable to the difference your work makes for customers and for the business.
• Design software with its full lifecycle in mind. Have strong opinions about observability, and understand that great software is software that can be confidently operated, monitored, and evolved long after it ships.

Nice To Haves

• Familiarity with Parquet and query engines such as AWS Athena is a plus.

Responsibilities

• 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.
• 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.
• Collaborate with teams responsible for the ETL pipelines and algorithms that transform raw instrument data into the protein quantification results our customers depend on.
• Lead with ownership. Drive technical design, contribute to architecture decisions, and hold a high bar for security, reliability, and scale. Also help develop the engineers around you through thoughtful code review, mentorship, and honest technical dialogue.
• Embrace AI as a collaborative partner across the software development lifecycle. Be skilled at prompting and critically evaluating AI-generated work, and actively explore new ways AI can improve how we build and operate software.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior