Backend Engineering Intern (Summer 2026)

zaimler • San Mateo, CA

1d

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 in backend systems, APIs, and data infrastructure. In this internship, you'll work directly on the services and systems that power zaimler's platform, building backend components that handle data ingestion, knowledge graph construction, and real-time inference at enterprise scale. You will get hands-on experience designing and building production systems that process large volumes of heterogeneous enterprise data.

Requirements

• Pursuing a Bachelors or Masters in CS
• Startup internship experience is highly preferred
• Proficiency in Python; experience with Go, Java, or TypeScript is a plus
• Interest in working with distributed systems, microservices, or event-driven architectures
• Familiarity with databases (PostgreSQL, Redis, or graph databases like Neo4j)
• Understanding of RESTful API design and implementation
• 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

• Familiar with containerization and orchestration (Docker, Kubernetes)
• Familiar with cloud platforms (AWS, GCP, or Azure)
• Experience with message queues or streaming systems (Kafka, RabbitMQ, or similar)
• Familiar with infrastructure-as-code or CI/CD tooling (Terraform, GitHub Actions)
• Interest in data infrastructure, knowledge graphs, or AI systems

Responsibilities

• Build and extend backend services and APIs that power zaimler's core platform
• Work on data ingestion pipelines that process and transform enterprise data from heterogeneous sources
• Develop and optimize database queries and data access patterns for graph and relational datastores
• Write tests and contribute to CI/CD pipelines to ensure reliability across deployments
• Collaborate with infrastructure and ML engineers to integrate new platform capabilities end to end

What This Job Offers

• Job Type: Part-time
• Career Level: Intern