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Java developer maintaining and evolving an internal DevOps/testing platform for Sberbank, using Spring, microservices, and cloud-native tools.
Мы - команда сопровождения АС Департамента интегрированного риск-менеджмента. Наша команда отвечает за эксплуатацию и участие в развитии ИТ-систем и ИИ-Агентов блока "Риски".* администрирование АС/Агентов и тех…
Управление эксплуатации - команда создает отказоустойчивую инфраструктуру для умных устройств и высоконагруженных систем. У нас много классных сервисов, которые доступны клиентам 24/7.### Задачи: * внедрение и…
Мы - команда эксплуатации Управления централизованных технологических решений. Мы занимаемся сопровождением и повышением надежности автоматизированных систем, обеспечивающих хранение и интеллектуальную обработку…
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.
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.
Senior Java developer on Sberbank's middle-layer credit services team: builds and evolves a credit-application data store, event-delivery and admin services, focusing on fault tolerance, data replication and database work. Stack: Java/Spring Boot, PostgreSQL, Kafka, Kubernetes, Prometheus/Grafana; hybrid work from the Moscow office.
SberData отвечает за развитие платформы для работы с данными в Сбере. У нас свыше 230 Петабайт данных, около сотни продуктов и сервисов для клиентов. Мы создаем собственные сборки платформ в рамках вендорозамещения и…
The Data Engineer will design and implement data pipelines to transform raw robot and external datasets into structured, reproducible formats for training AI models. The role focuses on building validation suites, managing dataset versions, and creating tools to support ML teams in the robotics center.
Build and maintain a corporate AI inference PaaS on Kubernetes, automating deployments with Helm and Ansible while integrating with bank systems and optimizing ML model inference workloads.
Команда поддержки ИТ сервисов Дирекции инжиниринговых услуг ищет специалиста сопровождения автоматизированных систем### Обязанности * сопровождение процессов и ИТ сервисов , решение запросов и инцидентов, с…
ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ваши…
Joins Sberbank's team building a large-scale recommendation platform: develops end-to-end ML and production data pipelines, trains and serves recommendation models on petabyte-scale data using PySpark and PyTorch, optimizes high-load online inference, and mentors junior engineers.
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.
Architect for Sberbank's gamification team behind the SberThanks loyalty program: designs and defends the tribe's architecture (functional, component and network schemas), enforces architecture standards at the architecture council, and maintains the architecture repository. Key tech includes Kubernetes/OpenShift, service mesh/REST, Kafka/RabbitMQ.
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.
Senior NLP/LLM engineer at Sberbank building an AI copilot for premium client managers: designs end-to-end LLM pipelines (RAG, autonomous multi-agent systems), fine-tunes models (SFT/RLHF/DPO, LoRA) and owns eval/QA processes while writing production-ready Python. Core stack: PyTorch, LangChain/LangGraph, FastAPI, LLMOps tooling.
QA automation engineer on Sberbank's investment business team in St. Petersburg, maintaining a unified automated testing system (Selenium for UI, RestAssured for API), driving shift-left practices, and integrating tests into Jenkins/Kubernetes CI/CD pipelines for a microservices investment-deal platform (Docker, Istio, Kafka), with some manual testing and Python scripting.
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