Software Engineer for Machine Learning SaaS

About this job

Job type: Full-time
Experience level: Junior, Mid-Level, Senior
Role: Data Scientist, DevOps
Industry: Data & Analytics, Machine Learning, Retail Analytics
Company size: 11–50 people
Company type: Private

Technologies

reactjs, python, go, kubernetes, data-science

Job description

We are looking for Software Engineers to join our growing team. In particular we are looking for engineers interested in one or more of

• Frontend development
• Full-stack development
• Data engineering
• Data science
• Infrastructure

You will work together with skilled colleagues in a tight-knit team and have an important role in developing a high-quality analytics SaaS for retail promotions.

We would love to get in touch if you:

• Have a passion for building great software and always strive to make things a little bit better
• Want to work at a place where the core business is data science and data engineering
• Consider reliability and performance to be features
• Some of the technologies that we are using: React, GraphQL, Kafka, ClickHouse, Cadence, gRPC, Kubernetes and GCP products (GKE, BigQuery, Apache Beam/Dataflow etc). Our main languages of choice are Go for the backend, Python for data science and TypeScript for the frontend.

If you think this sounds interesting, drop us a line, we would definitely like to get in touch with you!