Description
We are an Agile team cluster that develops automated pricing tools. These tools include calculating the price/efficiency for the Bank's products and ecosystem companies' products, integration with front-end and back-end systems, and systems for launching AI/ML models. Our goal is to increase revenue through intelligent pricing and reduce T2M by seamlessly integrating our tools into Sber's business processes.
Responsibilities
- development of BDD tests based on the pytest-bdd framework
- testing of APIs (REST, GraphQL), databases
- detection, documentation, and tracking of defect fixes
- creation and execution of release testing plans
- providing test-cycle results
- estimation of testing effort for features
- validation of functional requirements, updating and improving the test model.
Requirements
- automation testing experience of 2+ years, experience/skills in developing BDD tests
- knowledge of Python, knowledge and ability to apply test design and test analysis techniques;
- experience in testing backend applications, experience in defect localization and analysis
- skill in writing SQL queries using subqueries, groupings;
- experience in assessing test coverage for system modules
- knowledge of TDD, BDD, DDT approaches, knowledge and experience in maintaining test documentation (test cases, test plans)
- understanding of web application architecture.
Will be a plus:
- familiarity with the ELK stack (Kibana)
- skills in working with generative AI models; experience in creating AI agents and using them in work will be an advantage.
Conditions
- only hybrid work format in the locations: Moscow, St. Petersburg, Samara
- annual bonus and yearly salary review
- extended private health insurance from day one and preferential insurance for family
- Sber Corporate University, internal educational platform, participation in IT conferences
- flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- free SberPrime+ subscription, discounts on products from partner companies
- referral bonus for recommending friends to the team.
