Разработка вакансии

• 5+ лет разработки на Ruby on Rails в продакшене. • Опыт проектирования и масштабирования бэкенд-систем.

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter. You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads. WHAT YOU’LL WORK ON: - Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress - Replicate data across multiple blob storage providers - Automate garbage collection across hundreds of petabytes of data - Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better) - You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.) - You’re willing to step into the thick of it with our on-call rotation and respond to production incidents NICE-TO-HAVE: - Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems - Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration) - Experience with data engineering at petabyte scale - Prior experience with Rust

• 3+ года коммерческой разработки на Python (FastAPI / Django). • Опыт работы с PostgreSQL, ORM, REST API и вебхуками.

Нам нужно чтобы ты: Разрабатывал высоконагруженные, масштабируемые и легко поддерживаемые приложения; Участвовал в проведении код-ревью и ревью дизайна на соответствие архитектурным стандартам;

• Управление производством полного цикла: обеспечение стабильного выпуска продукции высокого качества, повышение эффективности производства, цифровизация процессов и достижение целевых показателей по объему, себестоимости и качеству. • Разработка и внедрение программ по снижению себестоимости, минимизации потерь сырья и простоев.

Synthesia is looking for a Research Scientist Interactive Avatars to develop and evaluate multimodal diffusion models for natural real-time avatar interactions.

Reap is looking for a Senior Software Engineer Treasury to design and operate reliable global money-movement systems for fiat and stablecoins.

Бұл рөлде сен 1С:Кәсіпорын платформасында жаңа функцияларды әзірлеп, тестілейсің, қолданыстағы шешімдерді жетілдіріп, оларды іске қосуға жауап бересің.

Ищу веб-разработчика (можно команду) для проекта. Задача: сайт-библиотека ассетов — PNG, фоны, графика.

Middle/Senior Golang-разработчик Формат работы: Удаленно Зарплата: 250–350тр по итогам технической секции О проекте Мы разрабатываем CRM-систему для среднего бизнеса. Продукт растёт, нагрузка увеличивается, команда расширяется — ищем инженера, который будет проектировать и развивать бэкенд-сервисы.

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders. WHAT YOU WILL DO - Develop and implement key product features working across our entire Go, Python, and Typescript stack - Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap - Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code HOW TO BE SUCCESSFUL IN THIS ROLE - 2+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend - Solid understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in high-performance, data-intensive applications - Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation Annual salary range: $145,000-180,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

-Проектировать архитектуру backend'а, чтобы всё работало на максимум. -Писать backend-сервисы.

-Весь функционал соответствует уровню квалификации специалиста (выполняемые задачи соответствующего масштаба, трудоемкости, сложности). -Настройка стандартных и нетиповых конфигураций 1С.

— Развивать antifraud-направление: определять стратегию, roadmap и приоритеты; — Руководить командой scientists/developers и развивать экспертизу;

Обязанности: Создание новых сложных сайтов на WordPress и доработка существующих; Разработка компонентов и модулей, модификация стандартного функционала;

Гибкий график, но с обязательной доступностью в рабочие часы команды и оперативной реакцией на задачи (ежедневные синки на 10-15 минут + присутствие на звонках по типу демо/брейншторм) Что предстоит делать AI-чатботы. Разворачивать с нуля аджентик AI-чатботов для клиентов: подключение к данным каталога, настройка поведения, интеграция на сайт.

Задачи: — Разработка ядра системы потоковой обработки событий и принятия решений в реальном времени. — Совместная работа с ML-специалистами над алгоритмами и прогнозными моделями. — Обеспечение работы алгоритмов в рамках бюджета задержки. — Поддержка архитектуры процессоров, включая управление состоянием, гарантии доставки, партиционирование и репликацию. — Реализация потоковой механики: дедлайны без таймеров, восстановление состояния при рестарте и переезде партиции, повторное проигрывание, идемпотентная выдача команд во внешние системы. — Проверка качества решений на реальных данных и выкат в продакшен. Требования: — Опыт работы на Python от 3 лет. — Техническое образование обязательно. — Понимание основ операционных систем, сетей, распределённых систем и потоковой обработки. — Знание Kafka обязательно. — Знание модели потоковой обработки. — Умение обосновать границы сервиса. — Знание SQL, включая материализованные представления и оконные функции. — Навыки работы с Docker, Kubernetes на уровне пользователя. — Опыт работы с GitLab CI. — Умение работать самостоятельно. — Активное использование ИИ в разработке. — Готовность выполнить тестовое задание и пройти техническое интервью. Условия: — Возможность работать из любой точки мира (удалённо). — ИТ аккредитация. — Программа корпоративных привилегий BestBenifit. — ДМС со стоматологией. — Доступ к обучению английскому языку. — Возможность проходить курсы и тренинги по развитию в сфере специальности. — Участие в интересных и сложных проектах в области искусственного интеллекта.

Проектирование и развитие архитектуры Linux- и Kubernetes-платформ, определение стандартов их построения и эксплуатации; Развертывание и администрирование Linux-серверов, Kubernetes-кластеров и связанных с ними инфраструктурных компонентов;