Вакансии

Требования: - Основы Go, Git, принципы SOLID - Unit-тесты, базовые SQL-запросы, Docker - Понимание микросервисной архитектуры Обязанности: - Писать чистый и эффективный код на Go - Работать с PostgreSQL/Redis - Участвовать в командных созвонах и код-ревью Условия: - Зарплата: 70–100к (net) - Удаленка/гибрид или офис (8 часов) - Проекты для топовых компаний, Agile команда

Задачи: — Анализ (реверс-инженеринг) существующих настроек Linux-систем для понимания их текущего состояния для последующей автоматизации. — Реализация параметров групповых политик. — Анализ и расширение проверок параметров групповых политик, реализуемых в pytest, создание новых сценариев pytest для параметров. — Разработка и поддержка состояний (States), и модулей SaltStack для управления конфигурацией. — Разработка кастомных модулей (modules), состояний (states) и грайнсов (grains) на Python для расширения функциональности SaltStack под нужды групповых политик. — Актуализация и создание пользовательской и технической документации. Требования: — Понимание компьютерных сетей. — Навыки администрирования ОС Linux или Windows. — Навыки программирования. — Опыт программирования на Python и, будет плюсом, опыт реализации pytest. — Навыки написания Bash-скриптов и скриптов конфигурирования (Salt, Ansible и др.) — Навыки работы с системами контроля версий. — Наличие собственной техники для работы и обучения. — На момент прохождения стажировки необходимо обучаться в учреждении среднего профессионального или высшего образования.

Задачи: — Разработка и внедрение смарт-контрактов на блокчейне Solana с использованием Rust. — Внедрение работы со смарт-контрактами на фронтенд и бэкенд (самостоятельно или помощь другим членам команды). — Обеспечение тщательного тестирования всех смарт-контрактов, их безопасности и оптимизации на Solana. БОЛЬШИМ ПЛЮСОМ БУДЕТ — Опыт работы с Stellar. Условия: — 100% удаленка в международной компании без жесткого контроля времени. — Участие в передовых проектах с зарубежными клиентами. — Четко прописанные должностные обязанности и поддержка профессиональной команды. — Доступ к корпоративным версиям ChatGPT, MidJourney, Cursor и другим ИИ-инструментам для повседневного использования.

Требования: - Базовые знания Python, JavaScript/TypeScript, Dart, Kotlin или Swift - Понимание ООП, алгоритмов и структур данных - Знакомство с Git и желание учиться - Умение гуглить и задавать вопросы - Базовый технический английский Обязанности: - Разработка функционала веб/мобильного приложения - Написание чистого кода на Python/Node.js, React/Vue.js или Flutter/React Native - Участие в код-ревью и написание unit-тестов - Взаимодействие с дизайнерами и продакт-менеджерами Условия: - Оплачиваемая стажировка и менторство - Работа над боевыми задачами без "кофе" - Возможность остаться в компании после стажировки - Гибкий график и частичная удаленка

Задачи: - Проектирование и разработка продакшн-систем с использованием Python 3.12+ для AI-агентов и LLM моделей - Реализация мультиагентной архитектуры: интеграция компонент, реализация пайплайнов и кастомных оркестраторов (LangChain, LangGraph, RAG) - Разработка и поддержка API (FastAPI, Django): создание микросервисов, REST, асинхронные сервисы - Интеграция с реляционными, NoSQL и векторными базами данных (PostgreSQL, Redis, MongoDB, VectorDB: ChromaDB, QDrant) - Создание, обучение и внедрение ML-моделей (ML pipeline, Prompt Engineering, RAG, оценка качества, A/B тестирование) - Контейнеризация (Docker, Docker Compose) и деплой в Kubernetes, частичная настройка DevOps-процессов (CI/CD: Jenkins, ArgoCD) - Разработка unit-тестов, код-ревью, оптимизация производительности, обеспечение безопасности - Взаимодействие в Agile-командах, участие в планировании, менторинг Требования: - Владение Python 3.12+: глубокое знание стандартных и современных возможностей языка (asyncio, typing, dataclasses, pydantic, pytest) от 4-6 лет - Практический опыт разработки AI/ML решений с использованием LangChain, LlamaIndex, RAG, интеграция с LLM API - Опыт проектирования и сопровождения высоконагруженных REST API на FastAPI/Django (архитектура, DI, сериализация, OpenAPI) - Продвинутая работа с PostgreSQL/Redis, проектирование сложных схем, индексация, оптимизация, векторные базы данных - Навыки контейнеризации, деплой в Kubernetes - Опыт внедрения CI/CD пайплайнов, мониторинга, алертинга, организации логирования - Уверенное знание Git, опыт командной работы (Agile, Scrum) - Английский B2+ для чтения документации и коммуникаций Будет плюсом: - Fine-tuning и кастомизация LLM, prompt engineering, оценка качества - Опыт с MLOps, LLMOps и мультирегиональными архитектурами - Участие в R&D или open-source проектах, менторство, архитектурное мышление - Работа с GigaChat API Условия: - Возможность профессионального и карьерного роста в компании, возможность поучаствовать в разных проектах - Опыт работы в распределенной команде профессионалов - Уровень заработной платы обсуждается индивидуально - Формат работы: Офис/гибрид г.Москва или Санкт-Петербург.

Location: Amsterdam Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact At Mollie, data and money movement are at the heart of everything we do — and the engineers who build and maintain these systems are central to our mission. As an Application Engineer II, you will work on systems that operate at the core of Mollie's platform — from the financial infrastructure that underpins every payment we process, to the data products that help our merchants grow, protect their revenue, and optimise their performance. The work is high-stakes, high-ownership, and highly visible. You will be building systems where correctness, reliability, and scale are non-negotiable — and where the things you ship directly impact more than 250,000 businesses across Europe. This is not a maintenance role. You will be joining a small, fast-moving team with a clear and ambitious mandate, working in a delivery-first environment where you take ideas from concept to production. You will have real end-to-end ownership, collaborate closely with engineers, product managers, and stakeholders across domains, and contribute to some of the most strategically important work happening at Mollie right now. What you'll ship - Design, build, and maintain backend systems and APIs that operate at high scale and high frequency — where performance, fault tolerance, and reliability are critical. - Take ownership of features end-to-end, from architecture and estimation through to delivery, production support, and continuous improvement. - Contribute to ambitious migration and modernisation initiatives, decoupling legacy dependencies and building cleaner, more scalable foundations for the future. - Transform complex technical and business requirements into well-designed, production-ready solutions — working closely with product and engineering stakeholders to shape what gets built and how. - Participate actively in agile ceremonies including brainstorming, estimation, and sprint planning, bringing both technical depth and a product-first perspective to the table. - Identify and resolve complex issues across distributed systems, applying creative problem-solving to challenges that sit at the intersection of engineering excellence and real merchant impact. What you'll bring - 5+ years of backend engineering experience, with strong proficiency in Java and ideally exposure to PHP; experience with Go, C#, or Python is also valued. - Experience building and maintaining large-scale, high-volume systems — with a solid understanding of distributed systems, queuing, caching, concurrency, fault tolerance, and scalability. - A background in financial systems, payments, or data-intensive applications is a big plus — you understand what it means to build systems where correctness, reliability, and performance are non-negotiable. - End-to-end ownership mindset — you don't just execute tasks; you take initiative, shape ideas with a product-first approach, and think in terms of outcomes for merchants and the business. - Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders across domains. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us. Kindly note that relocation support is not offered for this role.

Требования: - учится в вузе на технической специальности (3–6 курс) - готов работать от 20 часов в неделю - имеет базовые знания JavaScript, React, HTML5, CSS3 - знает SQL и принципы работы REST API - имеет базовый английский для чтения документации Обязанности: - разрабатывать и дорабатывать frontend функциональность - участвовать в разработке веб-интерфейсов на JavaScript - исправлять баги, писать и поддерживать код - работать с командой разработки и аналитики Условия: - оплачиваемая стажировка 3 месяца с возможностью продления - гибкий формат работы: удаленно или в офисе в Москве или Санкт-Петербурге - занятость от 20 часов в неделю - выдача рабочего ноутбука и доступ ко всем инструментам - работа с опытными разработчиками и наставником

Задачи: — Разрабатывать backend-сервисы на Python — Работать с Django и/или FastAPI — Создавать и поддерживать REST API — Участвовать в код-ревью и развитии проектов Требования: — Опыт коммерческой разработки на Python от 2 лет — Опыт работы с Django и/или FastAPI — Знание SQL, PostgreSQL — Понимание ООП, SOLID — Опыт работы с Git Условия и бонусы: — Официальное трудоустройство — Полностью удаленная работа — Компенсация спорта — 28 календарных дней отпуска

Company Description SCAYLE Payments enables smooth and innovative payment processes in the ABOUT YOU online fashion store, including the introduction of new marketplace functionalities. As a subsidiary of ABOUT YOU Group and a Federal Financial Supervisory Authority (BaFin)-regulated Payment Services Supervision Act (ZAG) institute, SCAYLE Payments takes care of all important aspects of payment transactions: From the integration of payment service providers and payment methods at the Online-Fashion-Stores checkout to the deposit and payout processes of end customers and merchants. The team’s objective is to make payment transactions in e-commerce simpler, safer, and future-oriented. Job Description Own the design and delivery of scalable backend systems across the payment lifecycle (PHP 8.3) Drive architectural decisions and evolve systems towards scalable, event-driven and distributed designs Lead complex technical initiatives end-to-end, from discovery to production and iteration Champion engineering excellence through TDD, CI/CD, and continuous delivery practices Mentor and support other engineers through pairing, feedback, and knowledge sharing Proactively identify and address system, process, and scalability challenges Qualifications 6+ years of backend engineering experience, with strong expertise in PHP Proven track record of designing and scaling distributed systems in production environments Deep experience with APIs, data storage solutions (PostgreSQL, Redis), and messaging systems (Kafka, RabbitMQ, SQS) Strong understanding of cloud-native systems and infrastructure (e.g. Kubernetes, containerized environments) Solid architectural knowledge (microservices, event-driven, hexagonal) and ability to apply it pragmatically High ownership mindset with the ability to lead, mentor, and influence technical direction Additional Information Main Benefits Flexible working times 40% discount on our ABOUT YOU online shop Fresh fruits + drinks everywhere Language courses (German & English) Free sports courses & reduced price for Wellpass membership Subsidized public transportation ticket Free choice of hardware and operating system (Mac, Windows, Linux) also for private usage Modern office in the city center of Hamburg International working environment and English as company language Agile work environment and cross-functional teams Dog-friendly office Professional training Company pension plan Help in relocation and VISA process (Benefits may vary depending on location)

Задачи: — участвовать в проектировании RAG-архитектуры под B2B-кейсы: помогать выбирать источники данных, настраивать ingestion, chunking, базовые стратегии retrieval (dense/hybrid) под руководством более опытных коллег; — настраивать LLM/агентов под предметную область: реализовывать промпты, подключать инструменты (tool calling), работать с контекстом и базовой памятью; — реализовывать POC/POV на данных клиента, проводить итерационные улучшения на основе метрик и обратной связи; — строить Data Ingestion пайплайны с OCR; — реализовывать evaluation-пайплайны: генерация тестовых наборов, запуск auto-eval, участие в human-eval; — считать и анализировать ключевые метрики (accuracy, coverage, latency, user success rate), готовить отчеты для команды; — участвовать в настройке мониторинга: логирование, базовые алерты, анализ неуспешных кейсов и их фиксы; — участвовать в интеграции с инфраструктурой (Kubernetes, облако), работать с метриками и логами; — участвовать в нагрузочном тестировании для оценки скорости инференса и необходимых ресурсов. Требования: — опыт работы с Python (pandas, PyTorch/TF, API LLM); — опыт работы в ML/DS/NLP от двух лет; — опыт работы с LLM/RAG; — понимание полного цикла ML-разработки; — практический опыт работы с RAG: настройка retrieval, работа с embedding-моделями, векторными БД (FAISS, Qdrant, Pinecone и др.); — понимание базовых техник улучшения качества (reranking, filtering, prompt tuning); — опыт работы с агентными фреймворками (LangChain / LangGraph / LlamaIndex / ADK и др.); — базовое понимание agentic-подходов и tool calling; — опыт prompt engineering и настройки LLM под задачи; — базовый опыт fine-tuning (или понимание подходов: LoRA, QLora, instruction tuning); — понимание оптимизации инференса (на уровне использования инструментов: vLLM, quantization и др.); — опыт работы с популярными ML фреймворками: tranformers, vllm, sglang, pytorch; — SQL, базовое понимание работы с данными и пайплайнами; — опыт деплоя сервисов (Docker, FastAPI), базовое понимание Kubernetes/облака; — навыки логирования, мониторинга и базовых A/B-экспериментов; — опыт работы с evaluation для ML/LLM (auto-метрики + участие в ручной оценке, LLM-as-Judge).

Задачи: — Улучшать локальные среды разработки, системы сборки и тестовые процессы для повышения опыта разработчиков. — Оптимизировать процессы CI/CD для увеличения скорости разработки и снижения трений в инженерных командах. — Разрабатывать инструменты, фреймворки и автоматизацию для упрощения разработки и деплоя кода. — Сотрудничать с инженерными командами для выявления проблем в рабочих процессах и внедрения лучших практик продуктивности. — Оценивать новые инструменты и продвигать решения, ориентированные на разработчиков, для повышения инженерного качества. Требования: — Степень бакалавра или магистра в области компьютерных наук или эквивалентный практический опыт. — Опыт работы не менее 3 лет в качестве инженера-программиста с фокусом на системах сборки или внутренних инструментах. — Подтвержденный опыт разработки и деплоя приложений на C++ и Python. — Опыт работы с современными системами сборки (CMake, Bazel) и системами контроля версий (Git, devcontainers). — Владение CI/CD системами, такими как GitHub Actions, GitLab CI, Jenkins или TeamCity. — Глубокие знания Linux-систем (предпочтительно Ubuntu/Debian) и контейнеризации (Docker). Плюсы: — Навыки скриптинга на Python или Bash для автоматизации. — Знакомство с Infrastructure-as-Code (IaC). Условия: — 30 дней оплачиваемого отпуска в год. — Гибридный формат работы и гибкий график. — Полная поддержка визы и релокации для международных кандидатов. — Субсидии на EGYM Wellpass и Deutschlandticket. — Выгодная программа лизинга велосипедов через JobRad. — Финансовая поддержка курсов местного языка. Процесс найма: — Первичный скрининг. — До 4 раундов интервью для оценки технических навыков и соответствия культуре компании.

Location: New York, United States; United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily We're building the search engine for AI agents. Our API powers agentic applications and real-time reasoning by connecting LLMs to high-quality, trustworthy web content. We work with some of the most innovative teams in AI — from startups shaping the ecosystem to enterprises deploying AI at scale. The Team Forward Deployed Engineering owns how Tavily shows up technically in the field. The team sits at the intersection of customers, Product, Engineering, Sales, Partnerships, and Customer Success. The Enterprise FDE motion focuses on Tavily’s highest-value customers and strategic enterprise opportunities — from technical discovery and solution design through proof of concept, production rollout, adoption, and expansion. The role This is a full-time, on-site role based in our New York office. As a Forward Deployed Engineer, Enterprise, you’ll work directly with Tavily’s largest and most strategic customers to design, prototype, and deploy production-grade AI systems powered by Tavily’s API. You’ll own the technical relationship across the customer lifecycle, helping enterprise teams move from early use case exploration to deployed, scalable agentic applications. You’ll be deeply hands-on: building RAG pipelines, agent workflows, evaluation loops, reference architectures, and custom integrations alongside customer teams. You’ll also serve as a critical bridge between the field and our Product and Engineering teams, translating enterprise needs into roadmap signal. Your responsibilities will include: Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements. Lead technical discovery and solution design during pre-sales and expansion conversations. Scope, build, and deliver proofs of concept that demonstrate clear business and technical value. Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and industry-specific GenAI applications. Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production. Monitor customer API usage patterns and recommend improvements to increase reliability, latency, coverage, and overall value. Translate recurring customer needs, blockers, and technical patterns into clear product and roadmap input. Create reusable enterprise assets, including reference architectures, integration templates, deployment guides, demo environments, and technical documentation. Represent Tavily in customer architecture reviews, executive technical conversations, implementation check-ins, and post-deployment reviews. Partner closely with Sales, Customer Success, Product, and Engineering to drive adoption, retention, and expansion across strategic accounts. We expect you to have: 5+ years of software engineering experience, ideally in a customer-facing technical role such as Forward Deployed Engineer, Solutions Architect, Solutions Engineer, Sales Engineer, or Technical Consultant. Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development. Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks. Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout. Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems. Ability to communicate clearly with both technical and executive stakeholders, including engineering leaders, product teams, AI teams, and technical decision-makers. High autonomy, strong ownership, and comfort operating in a fast-moving startup environment. Excellent written and verbal communication skills, with the ability to turn complex technical concepts into clear recommendations. Based in New York City, or willing to relocate. It will be an added bonus if you have: Experience working with major agent or LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, or CrewAI. Experience with vector databases such as Pinecone, Weaviate, pgvector, Qdrant, or similar systems. Experience with enterprise AI use cases in financial services, legal, consulting, enterprise SaaS, sales, marketing, or internal knowledge management. Track record helping large customers move from POC to production. Experience building internal tools, technical playbooks, demos, or reusable customer-facing assets. Prior experience at a high-growth AI infrastructure, developer tools, or enterprise SaaS company. Compensation We offer competitive compensation packages. The actual compensation offered within the listed range will be determined based on job-related factors, including experience, skills, qualifications, and the level at which the candidate is hired, consistent with applicable law. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Разработка и поддержка масштабных enterprise-продуктов в сферах финтех, телеком и ритейл. Требования: — Высшее техническое образование. — Опыт коммерческой разработки на C# / .NET (Core) от 3 лет. — Уверенное знание и применение принципов SOLID. — Опыт применения шаблонов проектирования, включая архитектурные и интеграционные. — Глубокие знания и опыт работы с SQL. — Опыт работы с брокерами сообщений (Kafka / RabbitMQ). — Понимание принципов многопоточного и асинхронного взаимодействия. — Опыт работы в команде по методологии Agile/Scrum. — Опыт разработки или интеграции blockchain/Web3-решений. Будет плюсом: — Опыт работы с Javascript. — Опыт работы с MongoDB. — Опыт работы в телекоммуникационной отрасли или с B2B-системами. — Знакомство с BPM-платформами (в частности, Elma 365) и принципами их интеграции.

Обязанности: • Разработка и оптимизация БД на PostgreSQL (индексы, запросы, профилирование) • Разработка и поддержка backend-сервисов на Python (fastAPI) • Участие в разработке frontend-приложений (React, React Native) • Разработка и поддержка интеграций (REST API, внешние сервисы) • Поддержка и постепенная модернизация legacy-систем (Delphi, Oracle, PHP) • Диагностика и устранение ошибок и багов • Деплой и сопровождение приложений (Docker, Kubernetes) Требования: • Уверенное владение Python (ООП, асинхронность, работа с декораторами) • Опыт работы с PostgreSQL (индексы, оптимизация запросов, EXPLAIN ANALYZE) • Понимание принципов REST API и HTTP • Опыт разработки и интеграции API • Опыт работы с GIT • Опыт работы: от 3 лет Условия: • Официальное трудоустройство по ТК РФ с первого дня • Удобный график 5/2 • Гарантированная зарплата без задержек + премии • Бесплатный корпоративный транспорт от Казани (11 маршрутов вахтовых автобусов) • ДМС – бесплатное медобслуживание в лучших клиниках города • Оплачиваемые отпуск и больничный • Ежегодный медосмотр • Корпоративные мероприятия • Льготная парковка для сотрудников (300 рублей 1 машиноместо/месяц)

Задачи: - Отвечать за delivery: от согласованных требований до успешного релиза; - Планировать и контролировать работу команды (СА, разработчики, QA); - Валидировать оценки и формировать реалистичные планы; - Развивать высоконагруженную микросервисную архитектуру; - Принимать технические и архитектурные решения; - Глубоко работать с системной аналитикой и качеством требований; - Обеспечивать надежность, масштабируемость и отказоустойчивость сервисов. Требования: - Опыт работы с высоконагруженными системами от 3–5 лет; - Практический опыт развития микросервисной архитектуры; - Опыт управления командой разработки от 8 человек; - Глубокое понимание Java / Spring / PostgreSQL / Kafka / Kubernetes; - Умение погружаться в код, архитектуру и системный анализ; - Понимание полного цикла разработки ПО; - Опыт оценки, планирования и контроля delivery; - Умение объяснять технические решения бизнесу. Будет плюсом: - Опыт с enterprise- и legacy-системами; - Event-driven архитектура; - DevOps / CI/CD; - Оптимизация PostgreSQL и Kafka; Условия: - Влияние на архитектуру и развитие платформы; - Сложные инженерные задачи; - Сильную техническую команду; - Удаленный формат работы; - Конкурентный уровень дохода.

Задачи: — Строить и эксплуатировать масштабируемые, надежные и производительные распределённые системы. — Сотрудничать с продуктовыми командами для создания новых функций. — Обеспечивать стабильную работу Discord. — Писать код и управлять инфраструктурой. — Работать в команде инженеров, создавших одну из крупнейших коммуникационных платформ в мире. Требования: — Опыт разработки и проектирования backend-систем не менее 2 лет. — Опыт решения сложных задач распределённых систем. — Опыт эксплуатации и поддержки критически важных сервисов уровня 0. — Знание лучших практик мониторинга и оповещений. — Знакомство с open source программным обеспечением и умение разбираться в исходном коде библиотек. Плюсом будет: — Опыт работы с Elixir. — Опыт работы с системами, развернутыми в облачных средах (GCP, AWS и др.). — Знание devops-инструментов, таких как Salt, Terraform или Kubernetes. — Участие в open source проектах. — Активное использование Discord, создание ботов или приложений для платформы. Условия: — Необходимость проживания или готовность к переезду в район залива Сан-Франциско (включая округа Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano и Sonoma). — Возможна помощь с переездом. — Базовая годовая зарплата от $160,000 до $180,000, плюс акции и социальные гарантии. — Зарплата определяется уровнем, навыками, опытом и образованием. — В объявлении указана только базовая зарплата без учёта акций и бонусов.

Location: Warszawa, PL Hey there 👋 We are looking for an experienced Senior C#/.NET Developer to join a large-scale MES project for a metallurgical company. You will work on developing and improving backend services for production systems within a modern microservices architecture. Requirements: 4+ years of commercial experience with C#/.NET development (Middle+ / Senior level) Strong knowledge of C# and .NET 5+ (the project is currently migrating to .NET 10) Solid understanding of microservices architecture, design patterns, and SOLID principles Experience with Oracle databases and ORM frameworks such as Entity Framework Core Hands-on experience with RabbitMQ and MassTransit (mandatory requirement) Experience with Docker and Kubernetes (K8s) Strong SQL skills and query optimization experience Experience working with MES systems or other manufacturing/industrial platforms Ability to work independently and take ownership of tasks Good communication and teamwork skills It Will Be A Plus If You: Have experience with Redis caching Worked with distributed tracing systems such as Jaeger Are familiar with Git workflows and Jira Have experience with code reviews and technical documentation

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model. As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user. This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work. Key responsibilities Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage Partner with computer-use researchers Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows Instrument products and use usage data to drive prioritization and measure progress Translate fuzzy user pain points into concrete, shippable features for knowledge workers Minimum qualifications Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company Strong full-stack engineering skills, including production web frontend and backend development Hands-on experience building with LLM APIs, prompting, or agent frameworks A track record of shipping to external users and iterating based on their feedback Preferred qualifications Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer Experience with browser automation, desktop automation, or robotic process automation systems Experience building evals or quality harnesses for machine learning systems Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics Experience designing agent loops, tool integrations, or guardrails for LLM-based systems Representative projects Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.