Edison Scientific

Edison Scientific

Principal Full-Stack Engineer

San Francisco, CA · Principal

Sponsorship not specified$200k-$350kDetected 137 days ago
PythonReactNext.jsNode.jsFastAPIBackend DevelopmentFull-Stack DevelopmentPostgreSQLMySQLMongoDBAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDGraphQLRESTMachine LearningData EngineeringAgentic AITest AutomationResearch

About the role

  • Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that.
  • 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.
  • This role is on-site at our San Francisco office in the Dogpatch neighborhood.

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.
  • 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.
  • 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.
  • Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they're building.

Requirements

  • 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.
  • Strong working knowledge of modern frontend frameworks (e.g., React, Next.js) and how frontend and backend systems interact at scale.
  • 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.
  • Extensive experience designing, building, and evolving APIs (FastAPI, REST
  • Expertise with relational and/or document databases (PostgreSQL, MySQL, MongoDB, or similar), including schema design and performance considerations.
  • 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

Nice to have

  • GraphQL a plus).
  • Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) and containerized environments (Docker
  • Kubernetes preferred).

Compensation

  • $200,000- $350,000 • Offers equity
  • Competitive salary and equity
  • Full healthcare coverage - we pay 100% of premiums for you and your dependents

Benefits

  • 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
  • $300 health and wellness benefit

Company info

  • This position is part of the Platform team.

This listing is sourced directly from Edison Scientific's careers page and normalized into a canonical job model.