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Kandinsky — команда Сбера, которая разрабатывает собственные фундаментальные генеративные модели для изображений, видео и моделирования физического мира. Мы работаем на границе актуальных исследований и инженерии,…
Build AI agents, fine-tune LLMs, and deploy RAG systems for internal security tools using PyTorch, LangChain, and vLLM.
Мы - молодая и перспективная команда внутри крупного банка. Наши сервисы уже эксплуатируются в процессах снабжения сотрудников и подразделений, обеспечивая бесперебойную работу сервисов. Сейчас мы находимся на этапе…
Мы ищем технического драйвера R&D-команды, который поможет переводить качественные HR-гипотезы в цифры и работающие прототипы.* проектировать архитектуру новых HR-процессов и проводить технический анализ: оценивать…
Java-разработчик в команду единого профиля клиентов (ЕПК) Сбербанка: проектирует и развивает новые микросервисы на Java/Spring Boot, поддерживает существующие сервисы, пишет unit- и интеграционные тесты и проводит код-ревью. Ключевой стек — Java 17+, Spring, Kafka, REST/gRPC, Docker/Podman; работа из офиса в Москве.
Senior systems analyst at Sberbank shaping digital financial assets (CFA) and crypto services for corporate clients in the SberBusiness web bank. Day to day: gathering business requirements, designing end-to-end scenarios in the EFS platform, integration contracts with the CFA platform, depository and public blockchains, plus UX and documentation work alongside a mid-level analyst.
QA engineer on Sber's team building an internal AI system that analyzes the bank's strategy implementation. Day to day: functional/API testing of backend services and UI, test documentation, regression and acceptance (ПСИ) testing, plus LLM quality work — golden/eval sets, LLM-as-judge and Ragas metrics, RAG and agent scenario testing.
System analyst on Sberbank's AI HUB (БЛиК) team, building AI agents that transform the bank's HR processes and integrating them into the Puls HR platform: gathering requirements, designing REST integrations and architecture (UML/BPMN), documenting specs, and accepting delivered functionality. Requires 3+ years as a system analyst, SQL, microservices, and AI experience.
Data analyst on Sberbank's HR R&D team in Moscow: collects, clusters and validates internal/external data, builds predictive models, tests product and research hypotheses, and works with dev, Data Science and product teams on HR tech including AI solutions. Core stack: Python, SQL, pandas.
Middle Data Scientist at Sberbank's B2C client-experience AI team building universal AI assistants and agentic solutions end-to-end: designing experiments, developing LLM pipelines and chatbots, fine-tuning NLP models, integrating them into production and monitoring quality. Core stack: Python, PyTorch, LangChain/LangGraph, Docker, SQL.
Middle fullstack developer on Sberbank's online lending team: builds Android app features in Kotlin and backend microservices in Java/Spring Boot, including tests, code reviews, performance tuning, and secure data handling for high-load loan services.
Миссия роли: стать лидером компетенций в команде, обеспечивая бесперебойную работу и развитие CI/CD-платформы для 400+ продуктовых сервисов, выступая ключевым экспертом для продуктовых команд при разборе платформенных…
Lead Java developer on Sberbank's SberBusiness team, building and evolving tax and accounting services for corporate clients (~350k businesses) across Web and Mobile channels. Day to day: architecture discussions, service development, performance optimization, code review and CI/CD using Java 21, Spring Boot, PostgreSQL, Kafka and Kubernetes.
Бизнес-аналитик моделирует процессы для криптовалютных и традиционных финансовых продуктов, интегрируя их в экосистему Сбера и анализируя требования к блокчейн-инфраструктуре.
Lead systems analyst on Sberbank's corporate-lending product team: designs AI agents built on the GigaChat LLM that automate client financial analysis and integrate with bank systems via APIs. Day to day: gathering and documenting requirements (Confluence/JIRA), writing specs and technical tasks, and working with message brokers and SQL databases.
QA engineer on Sberbank's InvestKopilka team (automated micro-investing inside SberBank Online): writes and maintains backend UI/API autotests in Java, runs functional, regression and integration testing, keeps test documentation, and helps resolve production incidents. Core stack: Java, REST API, SQL, TestRail/Allure TestOps, Jira; office-based in Moscow.
QA engineer on Sberbank's fintech team building its brokerage platform: owns quality from idea to release — analyzing requirements, writing test documentation, running manual functional/regression testing via REST API and Kafka, automating tests in Java, and managing defects with adjacent teams. Hybrid work from the Poklonka office in Moscow.
Senior системный аналитик собирает и формализует требования для банковских продуктов (вклады, кредиты, инвестиции), согласовывает их с заказчиками и передает в разработку.
Systems analyst on Sberbank's AEF.Lite team — the open-source edition of Sber's Agent Execution Framework for running, tracing and guarding AI agents. They research ecosystem companies' agent infrastructure, design the self-hosted distro (Keycloak, Kubernetes, Istio), OpenTelemetry/Kafka tracing and integration APIs, with a growth path to solution architect.
Backend developer on Sber's AI HUB SberWorks team, building high-load Python (FastAPI/AsyncIO) microservices and infrastructure for a multi-agent AI platform, including API design (REST/gRPC), message brokering, LLM integration, and Docker/Kubernetes deployment. Office/hybrid role in Moscow near Tulskaya metro.
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