Drimva

PathAI

Staff Software Engineer, Fullstack

$146K–$224K

Boston, MA (Hybrid) +1 · Staff · Full-time · Posted Oct 21, 2026

Location
Boston, MA (Hybrid)
Boston, Massachusetts, United States
Experience
8+ years of full lifecycle software development, including significant time in a senior or technical lead role.
Education
BS in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience.

About the job

Provides technical leadership and hands-on fullstack engineering for AISight, PathAI’s digital pathology platform, from architecture and technical strategy through production delivery.

What you'll do

  • Own architecture for major platform areas and lead complex, cross-team initiatives.
  • Write production code and uphold standards for quality, testing, observability, security, and performance.
  • Collaborate across product, design, ML, infrastructure, QA, and regulatory teams; mentor engineers and represent engineering to stakeholders.

What they ask for

  • BS in Computer Science, Software Engineering, or a closely related technical field, or equivalent practical experience.
  • 8+ years of full lifecycle software development, including significant time in a senior or technical lead role.
  • Track record architecting and shipping large-scale production systems and leading cross-team technical initiatives.
  • Deep expertise in backend or frontend engineering, working proficiency in the other, and hands-on experience building and operating cloud systems.

Nice to have

  • Experience in regulated environments or healthtech, or with medical imaging, digital pathology, or large-scale image visualization.
  • Experience with CI/CD, Docker and Kubernetes, infrastructure as code, or integrating ML models or AI-powered features into production.

Pay

$146,250 – $224,250 USD base salary

Tools

Python, Vue.js, Django + DRF, Docker, AWS, EKS, S3, RDS/PostgreSQL

AI focus

The platform supports AI-powered pathology; preferred experience includes integrating ML models or AI-powered features into production applications.

Model-written summary · the original posting is authoritative

First seen Oct 22, 2026 · Last verified Nov 4, 2026 (UTC)