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Principal Full-Stack Engineer
Edison Scientific · San Francisco, CA · On Site · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Edison Scientific |
| Title | Principal Full-Stack Engineer |
| Normalized title | - |
| Department / team | Engineering |
| Location | San Francisco, CA, United States |
| Work model | On Site |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-01-22 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Edison Scientific. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Edison Scientific |
| Source | 3e88a1f8-3904-45aa-8042-af6d399b3539 |
| ATS provider | Greenhouse |
Description
About
Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist.
Role
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.
This position is part of the Platform team.
Responsibilities
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.
Qualifications
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.
Bonus points for
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.
Salary
$200,000- $350,000 • Offers equity
Why join us?
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
Full job record
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| Board ID | 3e88a1f8-3904-45aa-8042-af6d399b3539 |
| Provider | greenhouse |
| Provider Job Key | 5031785007 |
| Title | Principal Full-Stack Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, CA |
| Department | Engineering |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/edisonscientific/jobs/5031785007 |
| Apply URL | https://job-boards.greenhouse.io/edisonscientific/jobs/5031785007 |
| First Seen At | 2026-05-29 22:57:52Z |
| Last Seen At | 2026-06-06 19:59:50Z |
| Last Checked At | 2026-06-06 19:59:50Z |
| Last Changed At | 2026-05-29 22:57:52Z |
| Inactive At | — |
| Source Posted At | 2026-01-22 18:02:46Z |
| Source Updated At | 2026-03-06 22:57:42Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=edisonscientific/date=2026-06-06/2026-06-06T19-59-49-960Z-3234da87baadfff782f702c01020910074e5dcd09ef15c7cc11da837e2de3af0.json |
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