Position: Senior Software Engineer
Category: Python
English level: upper
Years of experience: 6


I'm working on the Quantitative Investments System team. We aim to create algorithms and models to trade clients' assets efficiently. My job is to deliver such models to the Kubeflow cluster and supply it with accurate data(clients' assets, current situation on the market, and other relevant data).
While working in the QIS team, we created the following:
- We created a framework for autonomous order sending,
- A supporting base was developed for quants to use different data sources simply without deep
knowledge of databases,
- Currently, we are rewriting everything to a new microservice architecture. The goal is to supply the
trading model with more accurate data and make a more transparent pipeline.
Technologies that our team uses
- Python(mostly pure with our libraries) - PyTest
- K8s + Kubeflow
- PostgreSQL/Greenplum
- GitLab CI/CD
- gRPC
- Pandas
- RabbitMQ
- Kafka