Chan Zuckerberg Initiative

Senior Software Engineer (Full-stack), Science

Chan Zuckerberg Initiative

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $190,000 - $261,800 per year

Job Level

Senior

Tech Stack

DockerJavaScriptKubernetesNode.jsPythonReact

About the role

  • The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities.\n
  • Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster.\n
  • The Opportunity: Join a dynamic team within CZI’s Science Initiative focused on building user-facing applications that empower researchers through scalable, flexible, and intelligent workflows.\n
  • What You’ll Do: Design, develop, and maintain scalable full-stack web applications that power research workflows across scientific domains; Collaborate closely with scientists, product managers, and other engineers to build intuitive, flexible user interfaces and backend services; Integrate diverse services and tools — including ML inference pipelines, human-in-the-loop interfaces, and data management systems — into a cohesive platform; Ensure high standards of code quality, performance, and maintainability through code reviews, testing, and automation; Drive architectural decisions and contribute to long-term technical planning to support extensibility and scale; Build systems that enable researchers to bring their own data, customize processing, and adapt workflows to their unique needs; Partner with infrastructure and platform teams to ensure seamless deployment, observability, and operational stability of services.

Requirements

  • 7+ years of professional experience developing full-stack web applications with modern front-end frameworks (e.g., React) and backend technologies (e.g., Node.js, Python).\n
  • Proven ability to design and implement scalable APIs and data-driven applications.\n
  • Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.\n
  • Familiarity with infrastructure concepts such as containerization (Docker), orchestration (Kubernetes), and CI/CD practices.\n
  • Experience integrating or building around AI/ML services, especially in application layers involving inference or interactive AI tools.\n
  • Strong collaboration skills with a history of working cross-functionally with technical and non-technical stakeholders.\n
  • A product mindset with attention to user experience, performance, and extensibility.\n
  • Curiosity, flexibility, and a desire to work in a mission-driven, rapidly evolving environment.