About The Position

We are looking for a few interns to join us either part-time through the year or full-time for the summer. The ideal candidate should have an interest and some experience across both frontend and backend development. In this internship, you'll build features end-to-end, from the API layer through the UI, working on the product that enterprise data teams use to interact with zaimler's semantic graph platform. You will get hands-on experience shipping complete features in a fast-moving startup environment where you can see the full picture of how a product comes together.

Requirements

  • Pursuing a Bachelors or Masters in CS
  • Startup internship experience is highly preferred
  • Proficiency in JavaScript/TypeScript and at least one backend language (Python, Go, or Java)
  • Experience with React or a similar frontend framework
  • Familiarity with RESTful API design and relational databases (PostgreSQL or similar)
  • Comfortable working across the stack and switching contexts between frontend and backend
  • Strong fundamentals in data structures, algorithms, and system design
  • Experience with version control (Git) and collaborative development workflows
  • Great communication skills and a team player

Nice To Haves

  • Experience building and deploying a full stack application (side project, hackathon, or prior internship)
  • Familiar with containerization (Docker) and cloud platforms (AWS, GCP, or Azure)
  • Interest in data visualization, graph databases, or knowledge graph systems
  • Familiar with Next.js, FastAPI, or similar modern frameworks
  • Experience with authentication, authorization, or multi-tenant application patterns

Responsibilities

  • Build features end to end: design APIs, implement backend logic, and create the frontend interfaces that surface them to users
  • Develop and extend internal tools and workflows that support the engineering and data teams
  • Work on integrations between zaimler's platform and external enterprise systems
  • Write tests across the stack and contribute to CI/CD pipelines
  • Collaborate closely with product, infrastructure, and ML engineers to scope and deliver new capabilities
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