IT B2C is the largest ecosystem in Sber. There are over 8,000 of us in 18 cities across Russia. We are involved in the development and improvement of retail solutions, helping to make Bank services more accessible, safer, and more convenient.
We are waiting for you!
We are the AmazMe Team – we develop and implement a recommendation system platform
Team Goal - using our recommendation systems, achieve a significant reduction in the efforts of the entire Sber ecosystem to personalize the customer experience on any surfaces and services.
Responsibilities
- development and automation of testing scenarios in Python
- participation in the automation of CI/CD processes
- use of AI models to accelerate testing processes
- interaction with participants from DevOps and development teams
- analysis of logs and creation of bug reports
Requirements
- QA experience from 1 year
- knowledge of Python, pytest, allure, bash, docker, container orchestration (Kubernetes (K8s))
- knowledge of development processes, software lifecycle
- knowledge of testing theory (types of testing, test design, etc.)
- ability to clearly express thoughts, create bug reports, describe test cases
- ability to work with requirements and documentation
- knowledge of front-end testing (interfaces, forms, validation)
- knowledge of back-end testing (databases, API, Kafka)
- experience in testing web applications, API
- experience working with bug tracking systems (Jira)
- knowledge in test automation
- skills in working with generative AI models;
- experience in creating AI agents and using them in work will be an advantage
- experience using GigaChat, Kandinsky, and analogues in products, skills in creating and using AI agents
- instrumental knowledge of AI for analysis, generation, and automation.
