Разработка вакансии

- Техническое лидирование Agile-команды. - Техническая и архитектурная экспертиза решений, предлагаемых командой.

-Разрабатывать адаптеры интеграций с внешними источниками (REST, SOAP, JDBC, Kafka) по шаблонам проекта: конфигурация маппингов, конвертация XML→JSON, валидация по JSON Schema. -Проектировать и реализовывать хранение данных: DDL ClickHouse (ReplacingMergeTree, дедупликация, партиционирование), Kafka-топики, при необходимости — кеш в Redis.

-👥 Управление и развитие команды (Backend, Frontend, Mobile (iOS/Android), QA): -Проводить 1:1, давать честную обратную связь, составлять планы развития.

-Опыт коммерческого использования Bitrix24 от 3-х лет. -Понимание принципов работы REST API Bitrix24, принципов построения воронки продаж, настройки бизнес-процессов, роботов и прав доступа.

Разработка и поддержка административного портала на React/TypeScript: приложения, роли и доступы, секреты, пространства, ресурсы, репозитории и базовые образы, модели, мониторинг и отчёты; Разработка и доработка REST API на Python/FastAPI в сервисах портала, шаблонизатора и нотификаций: эндпоинты, схемы Pydantic, сервисный слой, доступ к PostgreSQL;

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About GDFT Gaming, Developer, and Future Technology (GDFT) are the technology specialists at PlayStation. We build the underlying systems that power core platform capabilities and developer tools. Our mission is to enable world-class gaming experiences by delivering low-level, high-performance technology for PlayStation platforms. The Role We are looking for an engineer to join the GDFT department, working on the design and optimisation of PlayStation’s real-time game streaming technologies. You will contribute to the development of low-latency video streaming systems across current and future PlayStation platforms, working on performance-critical areas spanning frame capture, media pipelines, codec configuration, system services and streaming transport. The role is particularly suited to engineers with a strong C/C++ background and experience working with native video or media systems, including embedded devices, TV firmware, set-top boxes, consoles, or similar. Our work sits at the intersection of product engineering and R&D. Alongside delivering production technology, engineers are encouraged to investigate new approaches to reducing end-to-end latency, improving visual quality and reducing bitrate, using measurement and experimentation to determine where meaningful improvements can be made. What You'll Be Doing Develop, optimise and maintain low-level C and C++ components within PlayStation’s game streaming stack. Investigate opportunities to reduce end-to-end streaming latency across frame capture, buffering, encoding, transport, decoding and presentation. Optimise the use and configuration of hardware video encoders, applying knowledge of codec behaviour and low-latency encoding techniques. Analyse existing media pipelines to identify unnecessary buffering, memory copies, synchronisation delays and other sources of latency. Use software and hardware instrumentation to measure system behaviour, validate hypotheses and quantify the impact of performance changes. Investigate and debug issues across user-space applications, system services and daemon-level components. Prototype and evaluate new approaches to improving streaming quality, latency and bandwidth efficiency. Work with engineers and researchers across the wider organisation on areas such as codec development, rate control, Forward Error Correction and emerging media technologies. Contribute technical findings and recommendations to design discussions, working with senior engineers to determine appropriate production solutions. Collaborate across teams to integrate and validate streaming technologies within PlayStation platform software. Attend periodic in-person workshops or team events, with travel possible a few times per year. What We Are Looking For This is a mid-level opportunity. You should bring some of the following skills and experience: Strong proficiency in C and C++. Experience developing native, performance-sensitive software rather than primarily web or managed application stacks. Experience working with real-time video, media pipelines, codecs or embedded multimedia systems. Practical understanding of video compression and media formats, including concepts such as chroma subsampling, bit depth and colour representation, with familiarity of codecs such as AVC, HEVC or AV1. Understanding of concepts relevant to low-latency video encoding, which may include GOP structures, reference frames, rate control, VBV, quantisation parameters, slices, tiles or hardware codec APIs. Strong debugging, profiling and performance-analysis skills. An ability to investigate complex technical problems, identify likely causes and use evidence and instrumentation to support conclusions. Comfortable working in unfamiliar parts of a large system and developing an understanding of how multiple components interact. An experimental mindset, with an interest in prototyping, measuring and evaluating alternative technical approaches. Ability to contribute to technical discussions and work with senior engineers when deciding how findings should be taken forward. Highly Desirable Skills: Experience in one or more of the following areas would be advantageous; we do not expect candidates to have experience across all of them: Familiarity with techniques for evaluating video codec performance, including bitrate/quality/latency trade-offs and objective or perceptual video quality metrics (such as PSNR and VMAF). Familiarity with compressed video bitstreams and codec signalling, such as NAL units/OBUs, parameter sets, profiles/levels and supplemental enhancement information. Experience developing native video players, media frameworks or codec pipelines on TVs, set-top boxes, consoles, mobile devices or other embedded platforms. Experience configuring or integrating hardware video encoders or decoders. Deeper knowledge of H.264, HEVC, AV1 or other current and emerging video codecs, beyond high-level API configuration, such as reference structures, rate-control behaviour, bitstream structure or encoder-specific optimisation. Experience optimising real-time video for low latency, visual quality or bitrate efficiency. Familiarity with frame capture, graphics presentation pipelines, framebuffers or GPU/CPU synchronisation. Experience identifying and reducing memory copies, queueing delays, memory-bandwidth limitations or other system-level performance bottlenecks. Experience working with system services, daemons, firmware interfaces or other low-level platform components. Familiarity with techniques such as content-aware encoding, region-of-interest encoding, adaptive resolution or frame rate, alternative reference-frame strategies or similar streaming optimisations. Experience with Forward Error Correction or other techniques for improving the resilience of real-time media. Experience with SIMD, vectorisation, cache optimisation or multithreaded performance tuning with instrumentation. Experience with console or embedded systems development environments. Experience with Git, Jenkins or similar CI/CD workflows. Why Work in GDFT Focused on platform-wide technology development Room to explore and innovate within performance-critical system areas Work on cross-regional collaborative projects Flexible and relaxed working environment, with strong support for hybrid work Opportunities for extensive professional development, technical conference attendance, and participation in internal hackathons Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

▪️разработка multi-agent систем (MAS) для Deep Research задач. ▪️создание LLM-агентов с использованием tool calling, planning и reasoning.

Location: Москва Мы – команда What If. Мы делаем приложения и сервисы, позволяющие Банку лучше понимать, как развивается бизнес, какие стратегические решения принимать на изменяющемся рынке и как при этом соответствовать всем требованиям регулятора. У нас в Банке есть разные процессы прогнозирования риск-метрик и метрик дохода, при этом они достаточно сложные и включают в себя несколько этапов формирования прогноза и участие разных подразделений. Сейчас мы ищем разработчика для дальнейшего развития нашего ключевого продукта, предназначенного для построения целостных прогнозных сценариев и оркестрации сквозного процесса прогнозирования. Наша команда состоит из владельца продукта, аналитиков, бекэнд и фуллстек разработчиков, QA-специалистов. Нам помогают фронтэндеры, дизайнеры и DevOps-специалисты из смежных команд, а также представители бизнеса. Вся команда размещается в Москве на смешанном режиме работы (офис + дом). Обязанности * Разработка: Создание основного серверного приложения на ASP .NET, а также развитие вспомогательных интеграционных сервисов на Python. * Архитектурные решения: Участие в проектировании архитектуры систем, выбор технологического стека, выбор способов интеграции сервисов в единое решение. * Управление и планирование: Оценка и декомпозиция задач, планирование работ, участие в управлении инженерными процессами. * Качество кода: Проведение код-ревью, поддержание чистоты кода, и обеспечение покрытия тестами. * AI в разработке: Активное использование LLM и ИИ-инструментов в производственном процессе (генерация кода, код-ревью, формирование документация, оптимизация рутинных задач). Требования * Опыт коммерческой разработки на .NET от 5 лет. * Cтек разработки: Знание C#, .NET 6+ (внутреннее устройство CLR, производительность, многопоточность), ASP.NET Core. * Архитектура: Практическое применение лучших инженерных практик и паттернов. * Базы данных: Уверенное владение PostgreSQL (оптимизация запросов, индексы, транзакции, изоляция). Опыт работы с EF Core или Dapper. Опыт использования Liquibase. * Брокеры сообщений: Опыт работы с Kafka (создание потребителей и продюсеров). * API и интеграции: Опыт реализации и поддержки API на базе REST и GraphQL. * Cloud & DevOps: Понимание принципов CI/CD, контейнеризации (Docker, Kubernetes), Service Mesh, Helm. * Интеграционное тестирование: Базовые навыки работы с Python для написания автоматизированных тестов. * Модульное тестирование: Опыт использования модульного тестирования (NUnit/MS Test). * Использование ИИ-инструментов в разработке. * Готовность к трудоустройству на декретную ставку с потенциальной возможностью в последующем остаться в штате Сбера. Будет преимуществом: * Опыт разработки и поддержки frontend-части на React и Type Script. * Опыт написания скриптов или сервисов на Python (например, FastAPI, Flask). * Опыт работы в финтехе. Условия * Комфортный современный офис: г. Москва, ул. Вавилова 19. * Офисный формат работы на период испытательного срока, после возможен переход на гибридный график 2 дня в неделю удаленно (согласуется индивидуально). * Ежегодный пересмотр зарплаты. * Корпоративный спортзал и зоны отдыха. * Более 400 образовательных программ СберУниверситета для -профессионального и карьерного развития. * Программа адаптации и помощь руководителя на старте (для Junior позиций). * Расширенный ДМС, льготное страхование для семьи и корпоративная -пенсионная программа. * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. * Подписка Прайм с возможностью совместного использования на трёх близких. * Вознаграждение за рекомендацию друзей в команду Сбера.

Workplace: none About Utorg Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Location: Remote Tech stack Frontend: React 18/19, TypeScript, Vite, TanStack Query / Router / Table, Zustand, MUI, Tailwind + shadcn/ui, Next.js, i18next, Sentry Testing: Playwright, Vitest, Testing Library, MSW Backend: Java 17 + Spring Boot 3, Kotlin + Spring Boot 4 (new services), Node.js/TypeScript services, PostgreSQL, Redis, NATS, Temporal Infrastructure: Docker, Kubernetes (GKE), FluxCD, GitHub Actions, Cloudflare Web3: viem, ethers AI: Claude Code, MCP, custom skills and plugins, AI code review in CI The role We are looking for a senior engineer who builds product features end-to-end — mostly on the frontend, with the confidence to change the backend when the feature needs it — and who already works agent-first. Our team plans, writes, tests, and reviews code with AI agents. You will own the frontend of our payment products and help turn good AI habits into shared team workflows. The split is roughly 70% frontend / 30% backend. What you will work on Crypto on/off-ramp widget — an embeddable buy/sell flow with KYC, card payments with 3-D Secure, alternative payment methods, and a customer account area—one codebase, built for multiple white-label brands. Merchant checkout — hosted payment pages, from a simple one-step checkout to a full multi-step flow with KYC and compliance screens. Back-office admin apps — internal tools that operations, compliance, and support use every day. A legacy admin is being replaced by a new one built on a modern stack. Backend changes — API endpoints and business logic in our Java/Spring Boot services, so a feature doesn't stop at the API boundary. Responsibilities Own features from ticket to production: UI, API contract, backend change, tests, release, and monitoring. Make frontend architecture decisions and drive ongoing migrations (legacy admin → new admin, older UI libraries → modern stack, stricter type checks). Build and improve AI-driven development workflows: project context files, shared skills and commands, automated PR review in CI, agent-driven end-to-end and visual checks. Review code — both teammates' and agents' — and keep the quality bar high. Work with product, design (Figma), QA, and backend engineers in a weekly release cycle. Must have 5+ years of commercial frontend development, 3+ years with React + TypeScript in production. Solid modern React: server-state management (TanStack Query or similar), client state (Zustand/Redux), forms, routing, performance. Comfortable with large legacy codebases, not just greenfield projects. Production backend experience in at least one language. Java or Kotlin with Spring is a plus; Node.js/TypeScript, Go, or others are fine. You can design a REST API, work with PostgreSQL (schema, indexes, migrations), and ship changes in our Java services. Agentic development is your daily way of working — with Claude Code, Codex, or a similar agent, not just autocomplete. Specifically: you keep project context files ( CLAUDE.md / AGENTS.md ) and write your own skills, commands, or subagents; you connect agents to real tools through MCP (issue tracker, GitHub, Figma, databases, browser); you work in a plan → implement → verify loop, where the agent proves its work with tests, type checks, and browser automation; you run agents in parallel and headless (for example, an AI review bot in CI); you review agent output critically and know the failure modes: invented APIs, silent scope creep, "fixing" a test instead of the code, leaked secrets, prompt injection; you keep up with how agentic tools change (new features, models, practices) and bring what works into your workflow . Testing: Playwright for end-to-end, Vitest/Jest for unit and integration tests. Security-minded: real money, personal data, auth tokens, iframes, and cross-origin messaging. Fluent Russian (the team's working language). English good enough to read and write technical texts: tasks, pull requests, and docs are in English. Nice to have Payments/fintech: card flows and 3-D Secure, alternative payment methods, KYC SDKs (e.g., SumSub), fraud prevention, open banking. Web3 on the frontend: viem / ethers, wallet connection, EIP-712 signing. Multi-brand (white-label) products, theming and design tokens. OpenAPI-generated clients (Orval), TanStack Router / Table. Kotlin, Spring Boot, NATS, Temporal. Docker, Kubernetes, GitHub Actions, GitOps (FluxCD), Cloudflare Workers. How we work with AI Every main repository has AI context files and repo-specific skills. An internal plugin marketplace ships team-wide skills (code review, release flow, back-office operations). AI code review runs on pull requests in CI. It advises, and humans decide. Custom MCP servers provide agents with secure access to internal systems. The company pays for AI tooling. What we offer Fully remote work in an international team. A team where AI-first engineering is the norm, not an experiment. Real influence on architecture and on how the team works. A product at real scale: millions of users and thousands of partner platforms. Competitive salary based on individual performance review. Transparent feedback culture that values ownership and visible impact. Recruitment process Apply with your CV. Application review. HR interview with a short technical screen. Technical interview: a live task solved with your own AI agent while sharing your screen, plus a design discussion. Final interview with the CTO. Offer.

– управлять командой разработчиков: координировать задачи, декомпозировать их, контролировать технические решения и проводить code review; – помогать команде в решении сложных технических задач;

• Развитие сложного UI: папки, списки, rich-text редактор (Cascade Editor), граф связей (Canvas), таблицы, markdown. • Разработка фич по REST API: блочная модель заметок, файлы и вложения, совместный доступ, комментарии, AI-промпты.

• Исследования и проектирование. Вы будете искать и выбирать оптимальные решения для реализации алгоритмов и кодеков, участвовать в R&D-проектах и помогать формировать направления развития медиаплатформы вместе с исследовательской командой.

Опыт работы в роли ведущего консультанта 5 и более лет. Экспертное знание функциональных областей «Регламентированный учет» и «Налоговый учет».

В роли Tech Lead Python в проекте GigaChat предстоит руководить разработкой высоконагруженных сервисов, используя Python и технологии распределённых систем. В задачи входит проектирование и оптимизация алгоритмов поиска и структур данных, а также работа с Linux-средой, контейнерами и Kubernetes. Требуется опыт в создании масштабируемых решений и управлении командой разработчиков. Кандидат должен обладать глубокими знаниями в области высоконагруженных систем и уметь эффективно применять современные технологии для обеспечения стабильности и производительности сервисов.

Ищется Frontend-разработчик уровня Middle или Middle+, владеющий технологиями React, TypeScript, JavaScript, а также работающий с HTTP, API, DOM, Browser API и Context API. В рамках работы предстоит создавать и поддерживать интерфейсы для российского видеохостинга RUTUBE, который служит платформой для просмотра и загрузки видеоконтента.

-Владеть процессом доставки фич: от технической проработки до выхода в production. -Работать совместно с Product и бизнесом над приоритизацией и поиском оптимальных решений.