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Nautilus Biotechnology

Senior Software Engineer II, Cloud Data Pipeline

Nautilus Biotechnology

Senior Software Engineer II developing ETL pipelines and cloud infrastructure for Nautilus. Engaging in scientific data processing to improve health through precision medicine in Seattle.

Posted 4/15/2026full-timeSeattle • Washington • 🇺🇸 United StatesSenior💰 $164,000 - $221,000 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudETLPythonTerraform

About the role

Key responsibilities & impact
  • Design and implement data pipelines and ETLs that process protein measurement data at scale, turning instrument outputs into reliable, query-able scientific results.
  • Improve the architecture of existing cloud systems: identify structural weaknesses, propose better approaches, and drive implementation alongside the technical lead.
  • Maintain and evolve the APIs and database schemas that serve internal teams including bioinformatics, science, and product development, adapting as their needs grow.
  • Contribute to the team's DevOps practice: optimize AWS costs, manage cloud deployments, improve system security, and drive performance improvements through infrastructure changes.
  • Work cross-functionally with scientific and software teams to define data quality metrics, understand how downstream consumers use pipeline outputs, and ensure the platform meets their needs.
  • Surface and advocate for changes to project priorities and architecture across the cloud pipeline and adjacent projects.

Requirements

What you’ll need
  • 7+ years of relevant experience in a software engineering organization, with a strong track record of delivering production-quality systems.
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • Fluency in a variety of programming languages. We are currently invested in Python for our data pipelines.
  • Solid experience with cloud infrastructure on AWS including cost management and deployment practices.
  • Experience with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CDK).
  • Experience with relational and non-relational database design
  • Demonstrated experience building and maintaining data pipelines or ETL systems at production scale.
  • Skilled in multiple technology domains with the ability to independently pick up new ones as needed.
  • Strong communication skills and comfort working across engineering, science, and product stakeholders.
  • Ability to identify when a change in direction is necessary and deal competently with that shift.
  • Familiar with AI-driven development tools and methodologies.

Benefits

Comp & perks
  • medical, vision, and dental insurance
  • group and supplemental life insurance
  • 401k retirement plan
  • responsible paid time off
  • parental leave
  • competitive options grant at the time of hire (with potential for additional grants)

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Hard Skills & Tools
PythonETLdata pipelinescloud infrastructureAWSCI/CDinfrastructure-as-codeTerraformrelational database designnon-relational database design
Soft Skills
communicationcross-functional collaborationadaptabilityproblem-solvingadvocacy for project changes