Senior Software Engineer — Data Infrastructure & Cloud

ClearCompany Talent Management Software; Seattle, Northern (WA, KY); Hybrid; USD 147,000 - 183,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Job summary

The Allen Institute in Seattle is expanding its Scientific Computing team with a Software Engineer III focused on data infrastructure for large-scale biology datasets. You will help design and build robust data management systems and cloud pipelines to enable rapid data sharing and discovery across teams.

The role emphasizes scalable cloud-native tooling, high code quality, and collaboration with scientists and engineers to support reproducible, open science.

Qualifications

• Bachelor's Degree in computer science, computer engineering, or relevant field; or equivalent combination of degree and experience.
• Minimum of 3 years of experience in a similar role.
• Extensive programming experience in Python.

Responsibilities

• Collaborate with product management, leadership, and scientists to manage a cloud-based data collaboration platform.
• Develop databases and APIs that standardize metadata and scripts that migrate data rapidly to the cloud.
• Develop infrastructure to facilitate monitoring and analysis of complex, varied biological data.
• Provide technical mentorship to engineers through design reviews, code reviews, documentation, and shared engineering standards.
• Establish and maintain industry software development best practices at the institute—develop unit and integration tests, participate in code reviews, version code, track issues, and write documentation.

Skills

Python

Cloud computing

Leadership

Education

Bachelor's Degree in Computer Science or related field

Tools

APIs

Job description

The Allen Institute in Seattle is expanding its Scientific Computing team with a Software Engineer III focused on data infrastructure for large-scale biology datasets. You will help design and build robust data management systems and cloud pipelines to enable rapid data sharing and discovery across teams.

The role emphasizes scalable cloud-native tooling, high code quality, and collaboration with scientists and engineers to support reproducible, open science.