Our AI Disrupt team is focused on finding and implementing advanced GenAI-based solutions for Sber's client offices. In our solutions, we use both classic models and LLM-based AI agents like GigaChat. To accomplish tasks, we collect data, prepare prototypes, and validate developed tools. In our solutions, besides LLMs, we utilize sound capture, transcription, and synthesis technologies.
The first stage of selection for this vacancy is an interview with an AI recruiter. After applying, you will receive an email invitation for a preliminary interview with GigaRecruiter on Telegram. The dialogue will take approximately 10 minutes. Its purpose is to clarify missing details and expedite the review of your candidacy.
GigaRecruiter is just beginning its journey, so we ask for your understanding. Your experience and participation will help make it convenient and useful!
Responsibilities
- Collection, analysis, and formalization of requirements for platform functionality (with business stakeholders and the product team)
- Business process modeling and microservice logic design
- Description of integration scenarios with external systems via REST API, Kafka
- Designing the interaction architecture of components within the existing infrastructure (Kubernetes, Kafka, databases)
- Preparation of analytical documentation (User Stories, Use Cases, API specifications, data schemas)
- Analysis and optimization of current processes to improve efficiency and quality.
Requirements
- System and/or business analysis experience of 2+ years (preferably in product teams or large enterprise projects)
- Ability to model business processes and describe system logic
- Understanding of distributed system architecture: microservices, message queues (Kafka), REST, databases (SQL)
- Knowledge of Java / Spring Boot basics will be a plus (to understand development capabilities and limitations)
- Experience with requirements management tools (Jira, Confluence, Wiki)
- Skills in writing API specifications (OpenAPI/Swagger) and working with JSON/XML
- Ability to find common ground with clients, developers, and testers
- Preferably, familiarity with the META platform (or other architectural modeling tools). If not, it is important to have experience in architecture design and a willingness to quickly learn new tools
Will be an advantage for the candidate:
- SQL knowledge and query building skills
- Understanding of CI/CD processes and Kubernetes deployment specifics
- Data analysis experience (SQL, Elasticsearch, analytical reports)
- Experience working with generative AI models.
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Work format: office during the adaptation period, then hybrid (2-3 days a week in the office)
- Annual salary review, annual bonus
- Corporate gym and rest areas
- Over 400 educational programs from SberUniversity for professional and career development
- Extended voluntary medical insurance, preferential family insurance, and corporate pension program
- Prime subscription with the option to share with three close individuals
- Referral bonus for recommending friends to the Sber team.
