Principal Full-Stack Engineer

Edison Scientific, Inc.
San Francisco, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 350K

Job location

San Francisco, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Cloud Computing
Databases
Data Systems
Software Debugging
Python
PostgreSQL
MongoDB
MySQL
Node.js
Next.js
Scientific Computating
Software Engineering
Web Application Frameworks
AI Infrastructure
React
Backend
FastAPI
Containerization
Kubernetes
Performance Monitor
GraphQL
Front End Software Development
Data Pipelines
Docker

Job description

As a Principal Full-Stack Engineer (Backend-Focused) you'll play a key role in shaping and scaling our core platform that automates scientific discovery. You'll work across the stack, with a strong emphasis on backend systems- designing and evolving services, APIs, data pipelines, and infrastructure- while also contributing to critical user-facing workflows.

Our mission is to build an AI scientist, and you'll help define and build the tools, interfaces, and data systems it relies on. This role goes beyond implementation: you'll influence architectural direction, establish engineering best practices, and partner closely with frontend engineers, designers, and researchers to deliver robust, end-to-end solutions.

At Edison Scientific, full-stack engineering at the senior level is about technical ownership and leverage- understanding how complex systems interact, making sound architectural tradeoffs, and building foundations that allow teams and science to move faster.

This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building., * Architect, design, implement, and maintain backend services, APIs, and databases that power the scientific discovery platform.

  • Drive technical decisions across the stack, balancing scalability, reliability, security, and developer velocity.
  • Lead the design and evolution of data pipelines supporting AI agents and research workflows.
  • Contribute to and review frontend features and workflows, ensuring seamless integration with backend systems.
  • Establish and uphold best practices around testing, monitoring, observability, and incident response.
  • Troubleshoot complex, cross-system issues and guide others through effective debugging and remediation.
  • Collaborate closely with engineering, design, and research teams to scope, plan, and ship new AI-driven capabilities.
  • Mentor and support other engineers, raising the technical bar and fostering a strong engineering culture.
  • Act as a trusted technical partner in a highly collaborative team working at the frontier of AI for science.

Requirements

Do you have experience in System performance monitoring?, * 5+ years of professional software engineering experience, with significant experience across backend systems and full-stack development.

  • Deep proficiency in one or more backend languages (e.g., Python, Node.js), with a strong track record of designing production systems.
  • Extensive experience designing, building, and evolving APIs (FastAPI, REST; GraphQL a plus).
  • Strong working knowledge of modern frontend frameworks (e.g., React, Next.js) and how frontend and backend systems interact at scale.
  • Expertise with relational and/or document databases (PostgreSQL, MySQL, MongoDB, or similar), including schema design and performance considerations.
  • Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker; Kubernetes preferred).
  • Proven experience building and maintaining CI/CD pipelines, automated testing strategies, and observability systems.
  • Ability to operate autonomously, make sound technical judgments, and drive projects from concept through production.
  • Strong communication skills and experience collaborating across disciplines in fast-moving environments., * Experience with data-intensive platforms, scientific computing, or ML/AI infrastructure.
  • Prior experience in startups or small teams with significant architectural ownership and ambiguity.
  • Experience scaling systems, teams, or platforms through periods of rapid growth.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching, * $200K - $350K * Offers Equity, $200,000- $350,000 * Offers equity, * Competitive salary and equity
  • Full healthcare coverage - we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • 401(k) company matching
  • $300 health and wellness benefit
  • Lunch is on us every day you're in the office, and dinner is on us when you're working late
  • Regular team offsites and company events
  • A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it

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