Вакансии

Требования к кандидату: — высшее образование; — опыт работы Разработчиком Backend Java в телекоммуникационных проектах от 3-х лет; — опыт работы с решениями на базе OIDC\Oauth (например, разработки системы аутентификации или интеграции с Yandex ID или подобными системами); — опыт коммерческой разработки на Spring (Core, Boot, Security, Cloud), Hibernate, JPA; — опыт работы со сборщиками кода (Gradle); — опыт работы с AWS, Docker, Kubernetes; — опыт разработки отказоустойчивых распределенных систем, навыки обеспечения масштабируемости решения; — понимание особенностей работы с многопоточным и асинхронным кодом; — желательно навыки построения архитектуры с выделением предметных областей и низкой связанностью между компонентами; — желательно опыт работы на kotlin от 1-го года. Обязанности кандидата: — услуги разработке и тестированию продукта IDP, представляющего собой единую точку аутентификации для продуктов и витрин компании; — создание коммунальной возможности аутентификации с помощью АльфаИД и СберИД; — фиксация всех задач в Jira, своевременный переход по статусам и указание результата их выполнения; — успешная валидация кода разработанного программного обеспечения; — почасовой отчет о проделанной работе в Jira (ПАО «ВымпелКом») по реализованным и подтвержденным задачам. Условия: — трудоустройство через ИП (если его нет, нужна готовность открыть).

Задачи: — полный цикл backend-разработки (архитектура, кодинг, запуск в пром) — разработка REST API — работа с PostgreSQL и Kafka — покрытие автотестами Требования: — опыт 4+ года на Scala 2.13 (стандартная библиотека, Future, implicits) — знание стеков Quill, Jetty, Kafka, Bouncy Castle, Liquibase, Cucumber, CI/CD (Jenkins, Groovy), Web3j / ethers / JSON-RPC Условия: — гибридный формат работы или офис в Москве (БЦ Оружейный) — ежегодный пересмотр зарплаты — годовая премия — ДМС — спортзал — образовательные программы

Location: Lisbon, Portugal About the Role We are seeking an experienced UiPath RPA Developer with strong Python skills to join our automation team. The ideal candidate will have hands-on experience designing and deploying UiPath automation solutions, combined with deep Python proficiency for building custom integrations, scripts, and data processing pipelines. You will work closely with business analysts, solution architects, and cross-functional teams to deliver end-to-end automation that drives operational efficiency. Responsibilities Design, develop, and deploy UiPath RPA workflows and automation solutions across attended and unattended processes. Write clean, efficient Python scripts and custom UiPath activities to extend automation capabilities and integrate with external systems. Analyze, debug, and optimize existing UiPath workflows and Python-based automation components to improve reliability and performance. Collaborate with business stakeholders to gather process requirements, conduct feasibility assessments, and translate manual workflows into automated solutions using UiPath Studio. Build and maintain Python-based integrations with REST APIs, web services, and data pipelines that complement UiPath automation workflows. Develop and maintain test frameworks using UiPath Test Suite and Python (pytest) to ensure automation reliability and quality across deployments. Manage and monitor robots via UiPath Orchestrator, including scheduling, queue management, alert configuration, and performance reporting. Maintain version control of UiPath projects and Python code using Git, and support CI/CD pipelines for automated deployment of RPA solutions. Leverage Python for web scraping, data transformation, and pre/post-processing tasks that feed into or extend UiPath automation pipelines. Interact with AWS services (S3, Lambda) and other cloud infrastructure to support scalable, cloud-based RPA deployments. Stay updated with emerging technologies and contribute ideas for improvements. Qualifications Education: Bachelor’s degree in computer science, Software Engineering, or a related field (or equivalent experience). Experience: 3+ years of UiPath RPA development experience, with at least 2 years of strong Python programming skills. Technical Skills: Strong proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Test Suite; UiPath RPA Developer certification preferred. Advanced Python skills including scripting, automation, data manipulation (pandas, NumPy), and API integration. Experience with web scraping tools (e.g., Playwright, Selenium) for browser automation and integration with UiPath workflows. Basic knowledge of SQL and database concepts (e.g., PostgreSQL, MySQL). Experience with version control systems (e.g., Git). Understanding of REST APIs and JSON. Familiarity with AWS services, especially Lambda functions and S3 buckets. Experience building custom UiPath activities or integrations using Python or .NET to extend native UiPath capabilities. Familiarity with Linux/Unix environments. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a team environment. Good communication skills and a willingness to learn. Attention to detail and commitment to quality. Preferred Skills: UiPath Advanced RPA Developer or Solution Architect certification. Experience with cloud platforms (AWS, Azure, GCP) for deploying and scaling RPA infrastructure. Familiarity with process mining or task capture tools (e.g., UiPath Process Mining, Task Capture) for identifying automation opportunities. Experience with Agile/Scrum methodologies and automation CoE (Center of Excellence) governance practices. Knowledge of containerization (Docker) and CI/CD tooling (Jenkins, GitHub Actions) for automated RPA deployment pipelines. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Задачи: — Разработка новых backend-микросервисов на .NET Core / ASP.NET — Реализация бизнес-процессов существующего приложения в рамках микросервисной архитектуры — Разработка нового функционала по готовым постановкам аналитиков и BRD — Обновление и развитие существующего кода на .NET Core и C# — Работа с базами данных MS SQL / PostgreSQL — Разработка и поддержка интеграции между системами — Написание и поддержка unit-тестов — Развитие внутренних NuGet-пакетов — Проведение рефакторинга и устранение замечаний автоматического анализа кода — Оценка трудозатрат на задачи и соблюдение сроков — Участие в код-ревью и технических обсуждениях Требования: — От 3 лет коммерческой разработки на C# — Уверенное знание C# и .NET на уровне Middle и выше — Практический опыт работы с Entity Framework, включая миграции и оптимизацию запросов — Опыт работы с Git — Опыт создания и развития NuGet-пакетов — Опыт написания и поддержки unit-тестов — Уверенное знание MS SQL и/или PostgreSQL — Понимание и применение принципов SOLID — Опыт разработки Web API — Умение оценивать задачи и соблюдать договорённые сроки Будет плюсом: — Опыт разработки REST API — Опыт работы с Docker — Знание Domain-Driven Design (DDD) — Опыт проектирования распределённых систем — Опыт работы с Keycloak, Kubernetes (k8s), Postman, Swagger, Kibana, SonarQube — Опыт работы в крупных компаниях или командах с выстроенными процессами разработки

Задачи: — Развивать логистическую систему на базе Oracle. — Разрабатывать решения на Oracle SQL и PL/SQL. — Проектировать схемы данных и работать с архитектурой СУБД Oracle. — Оптимизировать базы данных и прикладные решения. — Участвовать в разработке крупных модульных клиент-серверных систем. — Работать в команде и обмениваться опытом с разработчиками системного департамента. Требования: — Коммерческий опыт разработки на Oracle PL/SQL от 5 лет. — Хорошее знание Oracle SQL, PL/SQL, принципов и архитектуры СУБД Oracle. — Опыт самостоятельного проектирования схем данных. — Навыки оптимизации баз данных и приложений. — Опыт командной разработки. Условия: — Официальное трудоустройство по ТК РФ. — Используются актуальные LTS-версии Oracle; текущая версия — 19.27. — Большая часть баз данных работает на Oracle Exadata. — Доступно развёртывание баз данных по запросу, включая контейнеры под конкретные задачи. — Команды самостоятельно выбирают методологию: Kanban, Scrum или Scrumban. — Гибкий график: 8:00–17:00, 9:00–18:00 или 10:00–19:00. — Предоставляются ДМС, английский, фитнес, обучение, конференции, митапы, техника и полугодовые премии.

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Role Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI. We're looking for a Senior/Staff Product Engineer to join our Embodied AI team. Working alongside the group's GM, Product leader, and robot learning engineer, you'll own how the product reaches customers, build the integrations that make it native to their simulators and deployment stacks, and influence the roadmap. You've turned capabilities into products. You've shipped developer-facing products and watched adoption turn on details nobody planned for. You know that a capability isn't a product until someone outside the building has used it without help, and you're passionate about the work that sits between the two. This is not a role for someone who wants to manage and not ship, or someone who wants to ship without ownership of commercial consequences. This is a role for an entrepreneurial engineer who loves to build and is energized by making the people around them, researchers and customers alike, more effective. You have a co-founder mentality. You may have been part of a founding team before, or want to start your own business one day. What You'll Do - Build the Product Surface - Own how autonomy teams experience our work: the APIs, UIs, packages, and documentation. - Make Our World Native to the Customer's - Turn scans and reconstructions into reliable, interoperable assets that work in customers' simulation tools and workflows, including packaging, metadata, semantic labels, object structure, and selectable variants. - Turn Prototypes Into Capability - Partner with reconstruction, mapping, localization, and research teams to transform prototypes and pipeline outputs into production-grade services and user experiences. - Deliver at Scale - Design and operate backend systems for accounts, organizations, sites, scans, assets, processing jobs, permissions, asynchronous workflows, storage, and data access. - Make It Work - Work directly with customers and internal users to integrate our technology, diagnose failures, improve reliability, and close the gap between intended and actual product behavior. - Influence the Roadmap - Work alongside the group's GM, Product leader, and robot learning engineer to shape what we build and when. What You'll Bring - 6+ years of software engineering experience; Bachelor's degree in Computer Science or a related field, or equivalent practical experience. - Significant experience building and operating production web applications and backend services, with strong fundamentals in API design, data modeling, testing, observability, and reliability. - Shipped developer-facing products — including the documentation and reference code external engineers actually used — and worked with 3D asset formats or comparable binary formats to production depth: you can say what the conventions were, where they broke, and what it cost you. - Proficient in Python and TypeScript, comfortable working across frontend and backend, and able to take a feature from product requirements through to running it in production. - Experience designing asynchronous workflows, long-running jobs, external integrations, and data-intensive systems. Nice to Have - Experience working with robotics simulators or toolchains such as Isaac Sim, Isaac Lab, or MuJoCo, or OpenUSD. - Built products for geospatial, 3D, computer vision, graphics, robotics, or spatial computing. - Worked on visualization or asset-management experiences with React, Next.js, or Three.js. Competencies - Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it. - Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular. - Pragmatic. You have no patience for not-invented-here syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling. - Confident and credible with customers. You can read an autonomy engineer's training config, find why our asset didn't load, and explain the fix in their terms. - Fluent in other people's ecosystems. You'll spend much of your time learning new tools and stacks. You're quick to learn the customer's language, and you can point to something you shipped in a world that was foreign to you a quarter earlier. Compensation & Benefits The base salary range for this role is $207,000 - $265,000, and your offer within it will reflect your experience and the scope you take on. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

ElmoSoft is a software development and consulting company that offers services of seasoned software and IT professionals for custom development solutions and staff augmentation services.

Задачи: — Разработка и сопровождение программных компонентов, осуществляющих обработку сетевого трафика (маршрутизация, NAT, Firewall, VPN, DPI, IDS/IPS) в user mode — Оптимизация существующего кода с целью повышения производительности — Проектирование целевой архитектуры отдельных подсистем — Защита архитектурных решений, согласование их ограничений и атрибутов качества с заинтересованными лицами — Управление «техническим долгом», формирование плана технологического развития отдельных подсистем — Актуализация архитектурных материалов Требования: — Хорошее знание C++ (C++14/17, STL, Boost) — Опыт разработки многопоточных высоконагруженных систем — Навыки работы с GNU make, GCC, Shell script, gdb, git — Уверенное знание ОС GNU/Linux, ядра Linux на системном уровне — Базовые знания основных архитектурных стилей и шаблонов проектирования — Уверенное знание принципов построения IP-сетей и сетевых протоколов (DNS, DHCP, OSPF, BGP, SNMP, ALG, IPsec, TCP/IP, VPP) — Знание принципов работы межсетевого экрана (пакетная фильтрация трафика на сетевом и транспортном уровнях, инспекция пакетов с хранением состояния, NAT и пр.) Будет плюсом: — Опыт работы с устройствами типа NGFW (фильтрация трафика на прикладном уровне, контентная фильтрация, IDS/IPS, URL-фильтрация, SSL-инспекция и пр.) — Опыт работы с DPDK — Знание архитектуры ядер ОС Linux, сетевых подсистем ядра (netfiler, iptables, bpf) — Знание предметной области информационной безопасности — Опыт принятия архитектурных решений, их проработки, защиты и архитектурного надзора за их реализацией — Опыт участия в процессе сертификации программных и программно-аппаратных продуктов — Опыт применения практик безопасной разработки программных продуктов Условия: — Полное соблюдение трудового законодательства РФ, оплачиваемые отпуска и больничные листы, "белая" заработная плата — Начало работы с 8.00 до 11.00, продолжительность рабочего дня 8 часов + 1 час на обед — Оплачиваемое работодателем питание в офисе или кафе — ДМС (добровольное медицинское страхование) - различные варианты программ, страховка от несчастных случаев — Корпоративные мероприятия — Изучение английского онлайн по корпоративным ценам — Возможность получения профессиональных сертификатов и прохождения курсов повышения квалификации за счёт компании — Чай и кофе в офисе за счёт компании — Тренировки в спортивных командах: футбол, волейбол, баскетбол

Задачи: — разработка и отладка торговых стратегий: портфельное управление, арбитраж, маркет-мейкинг, аукционы, хеджирование на множестве инструментов от акций и бондов до REPO и опционов — разработка движка: внутренний и внешний мессенджинг, генераторы/оптимизаторы кода, конвейер Quality Gates, система управления конфигурациями и потоками — SRE: нагрузочное тестирование на собственном движке Tsunami, способном давать более 100к order book’ов в секунду с e2e профилированием на всех этапах в Prometheus и Grafana, бесшовные релизы на baremetal и Kubernetes — R&D: продвинутый data science и quantitative анализ на собственной платформе QUBE, автоматизированные agent2agent quality gates — AI кодогенерация: агент-разработчик на базе Qwen Code, собственная инсталляция SOTA OS моделей и собственные эволюционные решения. Требования: — владение GenAI инструментами, включая кодинг-агентов и универсальных агентов (OpenClode, OpenCode, Gemini CLI, Cursor, OpenClow) — владение современным стеком .NET и сопутствующими технологиями, понимание принципов SOLID и способность вести разработку в соответствии с ними — экспертиза в обработке параллельных и асинхронных задач — экспертиза в разработке эффективного zero-allocation кода — понимание, как работает CLR «под капотом» — экспертиза в разработке решений с реляционными базами данных — умение работать как в команде, так и автономно — активность и инициативность — умение применять принципы DRY / KISS / YAGNI на всех этапах командной работы — понимание SRE практик, способность переключаться между задачами Условия: — комфортный современный офис в Москве, Вавилова 19 — гибридный формат работы — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — система обучения для профессионального и карьерного развития — расширенный полис ДМС с первого дня работы и страхование для семьи — программа ипотеки для сотрудников — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Ищем Laravel-программистов.

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 Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is an unusually demanding distributed system. Training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts, exchange data continuously, and have to keep making progress while hardware fails, load shifts, and the research changes underneath them. How well that system holds together determines how much of our compute turns into learning, and how quickly the team can try the next idea. As a Research Engineer on the Distributed Systems team within RL Engineering, you'll work on whatever part of that system is the current limit. That might be scheduling and placement, data movement between components, running large numbers of sandboxed environments, storage and checkpointing, networking, fault tolerance, autoscaling, or the observability that tells us what a run is actually doing. We're looking for generalists: engineers who can move between these layers, reason from first principles about a system they haven't seen before, and pick the problem that matters most rather than the one closest to their prior experience. Our system changes as fast as the research does, correctness under failure matters as much as throughput, and the best solutions often come from understanding the ML workload well enough to know which guarantees it actually needs. Strong candidates have built and run large distributed systems, care about getting the details right, and want to apply that experience to a workload that is very large, very heterogeneous, and changing quickly. Key responsibilities Design, build, and operate the distributed systems that run RL at scale, across training, sampling, and environment execution Find and remove whatever currently limits the system, whether it's scheduling, data movement, storage, networking, or coordination Build fault tolerance into every layer: failure detection, isolation, and recovery that keep long-running jobs making progress without human intervention Design resource management and autoscaling so that compute follows demand as a run's needs shift Build observability that makes it possible to understand what a run is doing and why it slowed down, stalled, or produced unexpected results Build automation that detects and remediates common problems, and design interfaces that let engineers and automated tools operate runs safely Work with researchers and performance engineers to make sure systems changes preserve training correctness and don't introduce subtle nondeterminism Remove classes of failure at their source through incident review, testing, and redesign, and write clear design documents for what you build Minimum qualifications Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go Experience designing, building, and operating large-scale distributed systems in production Deep understanding of distributed systems fundamentals, including consistency, coordination, consensus, failure modes, and recovery Ability to reason quantitatively about throughput, latency, and resource costs across compute, memory, storage, and network Experience debugging complex failures across many hosts and services, including failures you can't reproduce locally Strong written communication, including design documents and incident writeups Preferred qualifications Experience running ML training or inference infrastructure at scale Experience across several layers of the stack, such as scheduling, storage, networking, and orchestration Experience building schedulers, autoscalers, or resource management systems Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale Experience with high-performance networking, RDMA, or collective communication libraries Experience building observability or automated remediation for large fleets Experience with async Python frameworks such as Trio or asyncio Familiarity with reinforcement learning or large language model training workloads Representative projects Design a scheduler that places training, sampling, and environment work across a heterogeneous cluster while respecting network topology and failure domains Build a failure detection and recovery system that lets a long-running job survive host and network failures with minimal lost work Scale environment execution substantially without increasing tail latency for the training step Design an autoscaling policy that rebalances compute across components as a run's bottleneck shifts Build a diagnostics system that explains why a run's throughput dropped and proposes a fix Trace a rare data corruption bug across many services to a race condition in a recovery path, and redesign the path so the class of bug can't recur Design the operational interface for a run so that automated tools can safely diagnose and adjust it under human oversight 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: $500,000 — $850,000 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.

Задачи: — Проектирование и разработка backend-сервисов на Go — Участие в проектировании архитектуры систем и принятии технических решений — Разработка и поддержка API (REST/gRPC) и интеграций с внешними сервисами — Оптимизация производительности и надежности высоконагруженных сервисов — Работа с базами данных и очередями сообщений — Код-ревью, менторинг middle-разработчиков, участие в формировании стандартов разработки Требования: — Коммерческий опыт разработки на Go от 4 лет — Глубокое понимание конкурентности в Go (goroutines, channels, context) — Опыт проектирования микросервисной архитектуры — Уверенная работа с PostgreSQL, понимание индексов и оптимизации запросов — Опыт работы с брокерами сообщений (Kafka/RabbitMQ/NATS) — Опыт работы с Docker, Kubernetes, CI/CD — Опыт написания тестов (unit, интеграционные) Будет плюсом: — Опыт работы с ClickHouse / Redis — Опыт настройки мониторинга (Prometheus, Grafana) — Опыт интеграции LLM/ИИ-сервисов в backend — Опыт работы в аутсорс/аутстафф формате Условия: — Полная занятость (fulltime), удаленный формат работы — Заработная плата от 350 000 ₽ в месяц — Участие в технологических ИИ-проектах — Прямая коммуникация с техническим руководством без бюрократии — Реальное влияние на архитектуру и технические решения

Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Команда Рекомендаций — это ключевая технологическая единица, которая создает и развивает алгоритмы персонализированных подсказок для миллионов пользователей маркетплейса. Мы анализируем поведение, предпочтения и контекст взаимодействия, чтобы предлагать товары, которые максимально соответствуют интересам каждого покупателя. Задачи: — Разрабатывать микросервисы на Go; — Проектировать архитектуру новых микросервисов; — Проводить интеграции с внешними сервисами и существующими микросервисами WB; — Участвовать в ретро и общих дейликах отдела; — Проводить отладку ошибок. Требования: — Опыт разработки на Golang не менее трех лет, применение лучших практик языка для создания эффективного и поддерживаемого кода; — Опыт работы с высоконагруженными системами и микросервисной архитектурой; — Хорошие знания алгоритмов; — Опыт работы с Kafka, ClickHouse, Elasticsearch; — Готовность погружаться в задачи бизнес-трассировки и поисковой инфраструктуры. Условия: — Обучение и развитие: языковые клубы, корпоративный университет, программы развития управленческих навыков; — Корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога; — Множество сообществ: клуб спикеров, футбола, йоги, шахмат и др.; — Условия для сочетания карьеры и заботы о близких, гибкий подход, проекты для детей сотрудников; — Скидки и партнерские программы на обучение, страхование, покупки; — Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Группа компаний «Арт-Финтех» ищет Senior Python Developer. Компания — международный поставщик банковских программных решений, более 20 лет на рынке. Требования: — Гражданство и локация РФ — Высшее образование: ИТ, техническое, математическое — От 2 лет в роли Python-разработчика — Опыт работы с системой контроля версий Git — Глубокое владение Python 3.11+: GIL, оптимизация и профилирование, асинхронность (asyncio), типизация — FastAPI (Pydantic) и/или Django (DRF) — проектирование сервисов — Проектирование REST API, контракты OpenAPI/Swagger — Оптимизация SQL-запросов, PostgreSQL, миграции (Alembic) — SQLAlchemy — Тестирование: pytest — обязательное; построение пирамиды тестирования, интеграционные тесты — Управление зависимостями: pip / poetry / uv — Знание принципов и архитектуры web-сервисов и REST API — Проектирование микросервисных решений — Уверенная работа с Docker (включая docker-compose) — Kubernetes — плюс — Опыт работы с брокерами сообщений (Kafka/RabbitMQ) — плюс — Анализ логов, сквозная трассировка (distributed tracing), конфигурирование мониторинга и алертинга — Настройка пайплайнов CI/CD: GitLab CI — Опыт работы по Scrum/Kanban — Навыки наставничества — Английский B1: чтение технической документации, деловая переписка Условия: — Full-time, 5/2 — Вилка заработной платы: до 250к рублей на руки

Location: London, England, United Kingdom About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. THE ROLE You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing. WHAT YOU’LL DO Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes. Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements. Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context. Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership. Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows. Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities. EXAMPLE PROJECTS L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS. Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages. Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval. Across these workflows, build quality checks and human review routing that meet customer requirements. WHAT YOU BRING A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience. Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging. Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review. Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations. Ownership through deployment, documentation, customer enablement, and adoption. Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential. Willingness to travel up to 40% Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Задачи: — Разработка и поддержка решений в области финтеха с использованием Python. Требования: — Опыт работы от 5 лет. — Опыт работы с Django, DRF, FastApi. — Плотное взаимодействие с PostgreSQL. — Опыт работы с одним или несколькими из Redis, Clickhouse. — Знание взаимодействия с месседж-брокерами, знакомство с Celery, Kafka или RabbitMQ. — Отличное понимание REST архитектуры. — Понимание работы с асинхронностью (AioHTTP, asyncio). — Умение писать SQL-запросы без использования ORM. — Понимание микросервисной архитектуры. Дополнительно приветствуется: — Знакомство или опыт работы с Oracle DB и SQLAlchemy. — Проектирование или опыт работы с микросервисной архитектурой. — Опыт работы с gRPC. Условия: — Удаленная работа с возможностью гибрида или офиса в Ростове-на-Дону. — Полная занятость. — Тип договора: ИП.

Задачи: — Разработка backend‑сервисов на Go для IaaS/PaaS‑платформы — Проектирование и разработка биллинга: учет потребления ресурсов, тарифы, списания, балансы, инвойсы, ЭДО, интеграция с внешними системами — Реализация quota/resource management: лимиты CPU/RAM/storage/network, tenant/project quotas — Проектирование API и внутренних сервисных контрактов — Работа с PostgreSQL и ClickHouse — Проектирование архитектуры и участие в архитектурных решениях Требования: — Опыт коммерческой разработки на Go — Понимание предметной области IaaS/PaaS, биллинга, квот и учета ресурсов — Опыт и понимание PostgreSQL, timescaledb/ClickHouse для проектирования масштабных систем — Опыт с sqlc или аналогичными typed SQL‑подходами — Понимание Kubernetes и облачной инфраструктуры — Опыт написания операторов/контроллеров для Kubernetes — Опыт работы в облаках, хостинге или телекоме — Знание систем мониторинга: Prometheus, VictoriaMetrics — Знание OpenTelemetry — Умение брать ownership, предлагать и защищать архитектурные решения Условия: — Интересный инфраструктурный продукт и прямое влияние на архитектуру — Отсутствие бюрократии — Оформление: ТК РФ или индивидуальное решение для проживания вне РФ — Полная занятость (full‑time)

Задачи: — участие в полном цикле разработки backend (архитектура, кодинг, запуск в промышленный контур) — проектирование и развитие REST API для внешних интеграций — работа с PostgreSQL и очередями Kafka — написание кода с покрытием автотестами Требования: — опыт работы в роли разработчика на Scala 2.13 (стандартная библиотека, Future, implicits) от 4 лет — Quill (написание и оптимизация запросов под партиционирование) — Jetty (embedded, настройка пулов потоков, WebSocket) — Kafka (консьюмеры/продюсеры, ручной коммит, обработка ребалансировки) — Bouncy Castle (ECDSA, Keccak, работа с ключами) — Liquibase (миграции PostgreSQL, изменения схемы без даунтайма) — опыт с Cucumber — опыт настройки CI/CD (Jenkins, Groovy) — опыт работы c агентской разработкой — понимание концепций популярных блокчейнов (блоки, транзакции, логи, криптография) — опыт работы с RPC-клиентами (Web3j / ethers / JSON-RPC)