Description

At SberData, we are building a centralized data storage facility. Sber currently possesses one of the largest data warehouses in the country - the bank's data volume has exceeded 250 PB. Around 500 thousand transactions are performed with our data per second. The SberData department manages Sber's data: our solutions are used by over 22 thousand employees of the bank and its ecosystem. We are developing the DataChat product, which provides services for preparing metadata for AI-ready storages, metadata search, and data extraction based on natural language queries. This will provide access to the data of the corporate analytics platform for AI agents and intelligent assistants.

Technologies used: Python, Langchain / Langgraph, OpenSearch, RAG, graph search, Jenkins, OpenShift.

Responsibilities

Tasks:

• Participation in the processes of analyzing technical requirements for the product and design
• Developing approaches for integration and load testing of the product
• Developing and documenting test scenarios based on requirements and project documentation, including functional and load tests
• Automating test scenarios using Python / Groovy / Shell
• Coordinating the testing process with related teams/products
• Participating in the product release cycle, tracking release activities
• Preparing reports, analyzing obtained results, logging found issues in the bug tracker
• Participating in incident analysis and requests from client teams.

Requirements

We expect:

• At least 2 years of experience in test automation and knowledge of one of the programming languages Python / Groovy at a sufficient level for automation
• Higher technical education
• Knowledge of testing theory (regression testing, smoke testing, unit testing, load testing, etc.)
• Understanding of the principles of working with REST API
• Ability to analyze logs and localize the cause of failure
• Experience with version control systems like Git.

Will be a plus:

• Understanding of prompt engineering
• Experience in automating UI component testing
• Understanding of SQL, including dialects like Spark SQL / HiveQL / Clickhouse / Greenplum
• Experience working with Kibana for searching and analyzing log messages

Conditions

We offer:

• A comfortable modern office: Danilovsky Fort Business Center, near Tulskaya metro station, Verkhniye Kotly
• Opportunity to choose a convenient schedule – office/hybrid
• Annual salary review, annual bonus
• Corporate gym and relaxation areas
• Over 400 educational programs from SberUniversity for professional and career development
• Extended voluntary health insurance (VHI), preferential family insurance, and a corporate pension program
• 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 Sber team.