At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale, and we are looking to solve the problem of making data science teams more productive, reducing time to value, and ensuring compliance for our customers like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy
Requirements
- Strong computer science fundamentals and experience with modern software engineering practices (algorithms, data structures, operating systems, networking, etc.)
- Proficiency with one or more of our core technologies: Python, Go, TypeScript, React, GraphQL, Kubernetes, Docker, Postgres, Redis, Kafka
- Experience with backend services and APIs
- Experience with frontend features
- Experience with cloud providers like AWS, Azure, and GCP
- Experience with Docker
- Experience with Kubernetes
Responsibilities
- building the platform that powers how data science is done at some of the world’s largest companies
- contributing across the full stack - from backend services and APIs, to frontend features, to integrations with cloud providers like AWS, Azure, and GCP
- working alongside talented engineers from all backgrounds to build the platform
- contributing to critical and high-visibility projects from the start
- making a meaningful impact on your team and the company as a whole beginning on day one
- building scalable enterprise systems
- integrating with cloud providers like AWS, Azure, and GCP
Other
- Graduating in Spring 2026, currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible
