Разработка вакансии

Задачи: — Проектирование архитектуры высоконагруженных модулей личного кабинета, написание чистого, поддерживаемого кода на PHP (современные версии 8.x, Yii2) и Golang. — Проектирование схем данных, написание сложных запросов, оптимизация и настройка производительности PostgreSQL (индексы, партиционирование, работа с JSONB). — Написание unit- и интеграционных тестов для критически важных модулей, поддержание и развитие тестовой базы, контроль процентного покрытия кода тестами. — Внедрение практик тестирования в командный процесс, проведение код-ревью с фокусом на тестируемость кода. — Полный цикл доставки кода до продакшена, написание и поддержка пайплайнов в GitLab CI/CD, автоматизация сборки, тестирования и деплоя (бэкенд + фронтенд), обеспечение zero-downtime деплоя. — Тесное взаимодействие с фронтенд-разработчиками (стек React, TypeScript), ревью их кода, помощь в проектировании API. — Участие в код-ревью, поиск узких мест, рефакторинг легаси, написание тестов (unit/integration). — Наставничество и помощь в росте менее опытных коллег, участие в декомпозиции задач и оценке сроков. Требования: — Уверенное владение PHP, знание Yii2 (ООП, SOLID, паттерны проектирования). — Знание PostgreSQL: умение оптимизировать запросы, работа с большими объемами данных, знание внутренностей СУБД. — Опыт разработки на Golang или сильное желание и базовые знания для активного перехода на него. — Опыт настройки CI/CD в GitLab (написание пайплайнов, автоматизация деплоя). — Опыт написания автотестов (unit, integration) и понимание их роли в обеспечении стабильности продукта. — Понимание устройства современных SPA-приложений, опыт интеграции с React приложениями. — Опыт работы с очередями (RabbitMQ) и in-memory БД (Redis, Memcached). — Опыт работы в Linux, понимание сети, умение искать проблемы в логах. — Знание Docker, оркестрации (Kubernetes / Swarm) будет плюсом. — Хорошие коммуникативные навыки и умение писать документацию.

Задачи: — Разработка задач высокой сложности для конфигураций 1С — Разработка интеграционных задач (1С-1С, 1С-Внешние системы) — Помощь аналитикам в формировании технической части ТЗ — Оценка трудозатрат по ТЗ и задачам — Проведение код-ревью — Оптимизация производительности Требования: — Ведение разработки с учетом стандартов и методик от 1С — Работа с высоконагруженными базами данных — Опыт в разработке механизмов интеграции (web-сервисы, HTTP-сервисы, REST, Open API, XML/JSON) — Понимание клиент-серверной архитектуры, СКД — Знание и умение применять стандартные библиотеки от 1С — Знание конфигураций 1С ЗУП, 1С АХДБ, 1С МФОиКПК будет преимуществом — Понимание и опыт работы с Git/TeamCity будет преимуществом — Опыт разработки интеграций с использованием RabbitMQ, Kafka будет преимуществом

Задачи: — Развивать и поддерживать используемые ОС для встраиваемых систем — Развивать и поддерживать программно-аппаратные комплексы, используемые в производственных техпроцессах (АСУ ТП) — Адаптировать исходный код для новых типов микроконтроллеров — Участвовать в разработке новых типов устройств для защиты информации Требования к кандидату: — Уверенное знание языка программирования С — Знание процессорных архитектур ARM Cortex, RISC-V — Понимание архитектуры микроконтроллеров, опыт работы с микроконтроллерами семейства ARM Cortex M0/M3/M4, RISC-V — Понимание принципов работы системы прерываний, DMA, адресации и защиты памяти, режимов энергосбережения — Базовые знания по электронике и схемотехнике, умение читать принципиальные схемы — Знание интерфейсов/протоколов: USB, UART, SPI, I2C, CAN, Ethernet — Владение системой контроля версий Git, навыки командной разработки Будет здорово, если Вы: — Имеете базовые знания в области криптографии — Имеете опыт программирования на ассемблере — Имеете опыт обратной разработки — Знакомы с интерфейсами ISO14443, ISO7816 — Знакомы со спецификациями GlobalPlatform — Знакомы с С++, Java, Python Условия: — Интересные и разнообразные задачи на стыке электроники, программирования и защиты информации — Развитие и рост в команде профессионалов — Работу в аккредитованной ИТ-компании — Индексируемую заработную плату, а также премии по результатам работы — Дополнительные премии к отпуску и Новому году — Возможность карьерного роста и профессионального обучения за счет компании — Участие в профильных конференциях за счет компании — Расширенный полис ДМС со стоматологией — Возможность не оформлять официальный больничный при краткосрочном заболевании — Оплату корпоративной мобильной связи и проезда на общественном транспорте — Различные активности, а также занятия футболом и волейболом

Задачи: — Работа с вайбкодинг (vibe coding) и ИИ инструментами; — Настройка и поддержка бизнес процессов (Битрикс); — Обеспечение бесперебойной работы серверов; — Знание медицинских информационных систем. Требования: — Опыт работы не менее 2-х лет в сфере ИТ (участие в проектах внедрения, преимуществом будет опыт эксплуатации медицинских информационных систем); — Способность быстро учиться; — Ответственность и инициативность, умение самостоятельно принимать решения и нести за них ответственность; — Гибкость и адаптивность, готовность работать в условиях неопределённости и быстро менять планы; — Умение презентовать идеи; — Хорошие коммуникативные навыки, грамотная письменная и устная речь. Условия: — Плюс процент от реализации проектов; — Официальное оформление по ТК РФ; — Своевременная выплата заработной платы 2 раза в месяц, уровень заработной платы обсуждается с каждым кандидатом по итогам собеседования; — Комфортные условия труда; — Льготное медицинское обслуживание для сотрудников и членов семьи.

Задачи: — Разрабатывать высоконагруженное системное ПО на С/С++: многопоточные приложения, организация взаимодействия с техническими средствами (электронными блоками, контроллерным оборудованием), обработка данных и алгоритмы управления. — Работать со стеком низкоуровневых технологий: разработка среды исполнения, механизмы межпроцессного взаимодействия (IPC), сетевых модулей (TCP/IP, UDP) для связи с удаленным оборудованием. Требования: — Уверенное знание С/С++ (стандарты 11/14/17). — Опыт разработки под GNU/Linux. — Знание Bash, сетевых протоколов (TCP/IP, UDP). — Опыт создания системных служб (daemons) и утилит в Linux. — Понимание методов межпроцессного взаимодействия (IPC). — Практический опыт работы с многопоточностью и разделяемой памятью. — Знание процессов тестирования ПО (unit-, integration testing). Условия: — Работа в одном из крупнейших в России научно-исследовательских институтов по проектированию и изготовлению реакторных установок мирового уровня. — Официальное трудоустройство в соответствии с ТК РФ, возможность оперативного премирования по итогам успешной реализации проектов. Должность и уровень заработной платы обсуждается с соискателем после успешного прохождения собеседования. — Работа с опытными наставниками – у нас сильная инженерная школа. — Расширенный социальный пакет: ДМС, компенсация аренды жилья, скидки на санаторно-курортное лечение, занятия спортом. — График работы: 5/2 ПН-ПТ 8-часовой рабочий день (обед 45 мин), своя столовая на территории; для студентов – возможность совмещения с учебой. — Возможности профессионального роста, участия в корпоративных обучающих программах. — Адрес предприятия: г. Москва, пл. Академика Доллежаля, д.1, к.3 (м. Красносельская или м. Комсомольская), пешая доступность от метро.

Задачи: — разработка и поддержка баз данных — сборка и поддержка .deb-пакетов Требования: — глубокое знание PHP, Node.js, JavaScript (React.js) — умение работать в командной строке в операционных системах AstraLinux, Debian — опыт работы с системами контроля версий git, svn — опыт работы с базами данных SQLite, PostgreSQL — знание скриптов на Bash, Python — опыт работы с CI/CD и Docker — образование: высшее, неоконченное высшее, среднее-специальное — готовность к оформлению 3 формы допуска — приветствуется опыт работы в сфере IT технологий и производства автоматизированных систем — знание Jira, Project — ответственность, организованность, системность, аналитический склад ума, целеустремленность, трудолюбие, пунктуальность, коммуникабельность, умение работать в команде, быстрое усвоение новой информации, обучаемость Условия: — работа в крупной аккредитованной IT-компании — оформление по ТК РФ, оплачиваемый отпуск и больничный лист — офис в 5 минутах ходьбы от станции метро Нагатинская или 7 минутах от МЦК Верхние Котлы — график работы 5/2 с 9:00 до 18:00, по пятницам до 16:45 — столовая в здании офиса — конкурентный уровень заработной платы (обсуждается по результатам собеседования)

Задачи: — Сопровождение учетных систем на платформе 1С:Предприятие: 1С:ERP Управление предприятием 2+БИТ:Финанс; Документооборот КОРП 2.1; — Решение задач в части автоматизации учетных процессов, решение технических задач; — Разработка и развитие существующего функционала, а также работа над новыми учетными блоками; — Разработка удобного интерфейса; — Участие в проектах по переходу с 1С: Управление производственным предприятием 1.3 на 1С:Управление предприятием (ERP); — Обновление нетиповых и типовых конфигураций; — Тестирование реализуемого функционала и разработка инструкций для пользователей; — Работа в команде. Требования: — От 1 года опыта разработки на платформе 1С: Предприятие (8.2 и 8.3); — Знание основных компонент платформы. Условия: — Срок испытания - 3 месяца; — Оформление по ТК РФ; — Полный рабочий день; — ДМС; — Премия; — Заработная плата по итогам собеседования.

Задачи: — Внедрение и развитие 1С ERP на производстве, перенос функционала с 1С УПП — Доработка и адаптация конфигураций под реальные задачи предприятия — Взаимодействие с разными подразделениями для поиска и реализации лучших решений по автоматизации Требования: — опыт работы с 1C ERP, УПП — желательно наличие сертификатов 1С Условия: — график работы 5/2 с 8:15 до 17:15, сокращенная пятница с 8:15 до 16:00 — социальный пакет (столовая и спортивный зал на территории предприятия, ДМС со стоматологией после испытательного срока) — дополнительная выплата в размере 50% заработной платы к отпуску — выплата премии в размере до 100% заработной платы по итогам года — предоставление права на отсрочку от призыва на военную службу по мобилизации и последующих призывов в военное время для граждан, пребывающих в запасе ВС РФ — шаговая доступность от метро Семеновская

Location: Remote Job Title: Senior Software Engineer Reports to: Director of Engineering Build the infrastructure powering the future of restaurant payments At inKind, we’re building the financial infrastructure that connects restaurants, diners, and capital in entirely new ways. Our platform powers real-time financial transactions and operational workflows for restaurants across the country. We’re looking for entrepreneurial, forward-thinking engineers who thrive in fast-moving environments and enjoy solving complex technical problems at scale. This is a hands-on role where you’ll design and build systems that support mission-critical financial workflows used daily by restaurants and partners. Our engineering team works with an AI-first mindset — leveraging modern AI tools to accelerate development, automate workflows, and unlock new product capabilities. We’re looking for engineers who are excited to experiment with emerging technologies while maintaining high standards for reliability and scalability. You’ll collaborate closely with product, business, and engineering teams to build systems that directly impact the restaurants and partners who rely on inKind for real-time financial operations. What You’ll Work On You’ll help design and operate the systems that power our financial platform. Distributed Systems & Platform Engineering Design and implement scalable distributed systems supporting financial transactions and real-time events Architect services that handle real-world scale, failure scenarios, and performance constraints Ensure strong data integrity and consistency across distributed workflows Build secure infrastructure protecting sensitive financial data AI-First Engineering Identify opportunities to leverage AI tools to accelerate development and improve engineering workflows Contribute to AI-enabled product features and automation across the platform Help evolve how our team integrates modern developer tools and AI-assisted engineering practices Reliability & Production Operations Design systems with observability, monitoring, and failure recovery in mind Debug complex production issues across distributed services Improve reliability and performance of mission-critical systems Participate in on-call rotations to maintain platform stability Cross-Functional Collaboration Partner with product and business teams to translate customer needs into scalable technical solutions Lead architectural decisions through hands-on implementation Mentor engineers and help raise engineering standards across the team Who Thrives Here The engineers who succeed at inKind tend to be: Builder Mindset You enjoy taking ownership, experimenting with new ideas, and shipping impactful solutions. Systems Thinkers You understand how complex systems interact and can design resilient architectures. Forward-Thinking Engineers You’re excited about modern development practices and exploring how AI can improve the way we build software. Pragmatic Problem Solvers You know when to refactor, when to optimize, and when to ship. Collaborative Teammates You communicate clearly and work well with engineering, product, and business partners. Minimum Qualifications 8+ years of experience building and operating production systems Strong distributed systems design experience Expertise in at least one major web framework (Rails, Django, Express, Fastify, etc.) Strong database knowledge including indexing, query optimization, and transactional integrity Experience designing highly available production systems Familiarity with authentication, authorization, and secure API design Preferred Qualifications Experience scaling systems during periods of rapid growth Background in payments, financial transactions, or regulated systems Experience implementing distributed patterns such as retries, circuit breakers, and event-driven workflows Experience working with or evolving large Rails applications Experience integrating AI tools into engineering workflows or building AI-powered product features Why Engineers Like Working Here Work on real-world financial infrastructure used by restaurants every day High ownership and autonomy in architectural decisions Opportunity to help shape an AI-first engineering culture Collaborative environment working closely with product and business teams Fast-moving startup environment where your work directly impacts customers Some of our Benefits: Generous PTO and company holiday policy + company paid Short Term Disability 100% employer covered health and dental insurance for our direct employees (a set plan is covered, with higher tier healthcare coverage available at employee's additional cost; dependent coverage is at employee's cost); vision plan available at employee's additional cost Child Care Benefits and generous parental leave Dog-friendly workspace in a secure building with great views of downtown Austin Daily lunches and snacks for in-office team members Salary $160,000 – $185,000, DOE Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Задачи: — Проектировать, разрабатывать и развивать микросервисы на Python в распределённой среде. — Прорабатывать технические задания вместе с системным аналитиком: уточнять требования, предлагать улучшения постановки, влиять на финальное решение. — Опекать фичу на всём пути — от дизайна и реализации до выкатки и первого времени в проде: настраивать метрики в Grafana, следить за поведением под нагрузкой. — Активно участвовать в проработке архитектуры и дизайн-ревью, предлагать и защищать решения. — Замечать узкие места и потенциальные риски на ранних этапах и обсуждать их с командой. — Оказывать 3-ю линию поддержки: разбор инцидентов до первопричины по трейсам, логам, метрикам и закрытие класса ошибки. — Документировать код. Требования: — Профильное высшее образование в области информатики, программной инженерии или смежной технической специальности. — Опыт в разработке от 5 лет. — Сильный Python, уверенный async (asyncio): понимание, где он помогает, а где мешает. — Опыт проектирования сервисов в распределённой системе: осознанный выбор между синхронным (gRPC) и асинхронным (Kafka/RabbitMQ) взаимодействием, идемпотентность, консистентность данных между сервисами. — Грамотный дизайн контрактов между сервисами: версионирование, обратная совместимость. — Тестируемость закладывать в дизайн, а не дописывать тесты потом. — Самостоятельность и ответственность за результат на всём цикле задачи. Условия: — Работа в компании с мировыми стандартами и легендарной историей. — Официальное трудоустройство в ИТ аккредитованную компанию. — ДМС со стоматологией, компенсация фитнеса, возможности внутреннего и внешнего повышения уровня компетенций, карьерное развитие. — Премирование по результатам работы. — Гибридный формат работы.

Задачи: — Оценить и модернизировать существующее решение на Microsoft Power Platform. — Определить целевую архитектуру и возглавить технический дизайн масштабируемой и безопасной реализации. — Провести техническую оценку существующего приложения Power Apps, потоков Power Automate, слоя данных, отчетности Power BI и четырех точек интеграции. — Поддержать исследование профилирования регуляторных данных и включить результаты в целевую архитектуру решения. — Определить и оценить варианты исправления и перестройки с учетом стоимости, поддержать окончательную техническую рекомендацию. — Подготовить детальный и укомплектованный план реализации фазы 2. — Спроектировать консолидированную модель сущностей Dataverse и определить архитектуру рабочих процессов и бизнес-логики. — Определить целевую архитектуру интеграции по четырем точкам интеграции. — Настроить модель доступа Entra ID для лицензированных и нелицензированных пользователей. — Настроить общую архитектуру Azure API Management, Key Vault и мониторинга для поддержки интеграций. — Подготовить техническую документацию для передачи реализованного решения. Требования: — Глубокий практический опыт с Microsoft Power Platform, включая Power Apps (canvas и model-driven), Power Automate, Dataverse, Power Pages и Power BI. — Опыт проектирования схем Dataverse и ролей безопасности. — Опыт архитектуры Azure с API Management, Azure Functions, Key Vault, Entra ID/SSO и Azure Monitor/Application Insights. — Опыт проектирования архитектур интеграции предприятий, включая интеграции с изменяющимися или мигрирующими API. — Опыт интеграции корпоративных приложений с ERP-системами. — Опыт проектирования моделей идентификации и доступа для лицензированных и нелицензированных пользователей. — Хорошее понимание моделей лицензирования Microsoft Power Platform, включая лицензирование Dataverse на пользователя и лицензирование Power Pages на основе емкости/сессий. — Опыт оценки существующих решений и определения стратегий модернизации, исправления или перестройки. Опционально: — Опыт интеграции с SAP. Условия: — Локация: только США или Канада. — Временная зона: перекрытие 6 часов с восточным часовым поясом США. — Занятость: примерно 30 часов в неделю на фазе 1 и 10 часов в неделю на фазе 2.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Systems and Software Team Lead - Location: Espoo, Finland - Department: Global Manufacturing Organisation - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a Systems and Software Team Lead to own systems and software production and satellite-level testing for ICEYE's SAR satellites, from production integration through to proof that every onboard system performs reliably before a satellite ships. Your team is responsible for onboard software loading, validation, and checkout during production, and full satellite-level functional and end-to-end system checkout, including RF testing in the anechoic chamber as part of that satellite-level test campaign. You will lead a multidisciplinary team of engineers and technicians across systems and software, and carry the ultimate responsibility for flight readiness on the systems and software side of the build. This is a hands-on leadership role at the core of production. You'll spend time on the floor with your team, troubleshooting, unblocking issues, and improving processes, while working alongside the Integration and Mechanical team leads to keep the overall satellite build on schedule and to the highest quality standards. ICEYE's production volumes are scaling significantly, and this role is central to building the systems, tooling, and team needed to support that growth.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.   YOUR DAY-TO-DAY RESPONSIBILITIES   LEADING SYSTEMS & SOFTWARE PRODUCTION - Own systems and software production for ICEYE's SAR satellites, ensuring mission readiness from integration through launch - Plan, coordinate, and execute satellite build stages across production, from initial integration through flight readiness - Own end-to-end production flows for onboard software, avionics, and SAR payload system integration - Be hands-on: lead troubleshooting, unblock issues, keep production momentum OWNING SATELLITE-LEVEL VERIFICATION - Drive execution of system-level functional testing, verification, and acceptance for SAR flight units, once integration is complete - Prove that all onboard systems (avionics, power, software) perform reliably in full configuration - Own planning, execution, and reporting of system-level functional tests and inspections, including RF testing of the full satellite in the anechoic chamber - Ensure anechoic chamber test setups are properly scheduled, maintained, and executed as part of the satellite-level test flow OWNING SOFTWARE IN PRODUCTION - Own onboard software loading, validation, and checkout during production and verification - Maintain and improve test automation, scripts, and software-supported verification flows with keeping supporting stakeholders in loop. - Ensure robustness of SAR mission software, including payload control, data handling, and spacecraft operations DRIVING QUALITY, TRACEABILITY & COMPLIANCE - Maintain configuration control, build discipline, and full traceability - Ensure compliance with aerospace quality standards - Manage technical risks, anomalies, and non-conformances through root cause analysis and corrective action, identifying and driving resolution of the issues most critical to the production line BUILDING SCALABLE, REPEATABLE PROCESSES - Define and continuously improve scalable production workflows, work instructions, test procedures, and checklists together with AIT Engineering and Quality - Turn unclear inputs into clear, usable verification processes, reducing reliance on tribal knowledge - Drive throughput and reduce rework while protecting quality, as production volumes scale LEADING & DEVELOPING THE TEAM - Lead, coach, and grow a multidisciplinary team across systems and software, including satellite-level test execution - Mentor and lead the team, fostering operational excellence, accountability, and a high-reliability spaceflight culture - Train and mentor on systems and software test best practices and fault diagnostics, including anechoic chamber test execution WORKING ACROSS TEAMS & SCALING - Act as the primary technical interface between AIT engineers, engineering, production, and mission operations for SAR missions - Coordinate closely with the Integration and Mechanical team leads to ensure a unified, on-schedule satellite build - Prepare verification and production processes for higher volumes; define and track KPIs WHAT WE’RE LOOKING FOR MUST HAVES: - Strong leadership experience, with the ability to manage and guide a multidisciplinary team of engineers and technicians, fostering collaboration and growth - Proven expertise in systems and/or software integration for complex hardware, ideally in satellite, aerospace, or a similarly regulated high-reliability environment - In-depth knowledge of onboard software, avionics, and payload systems, and how they interact with the broader satellite build - Comfort with software in test: flight software loading/validation, test automation, and scripting - Strong background in root cause analysis, anomaly management, and non-conformance resolution - Familiarity with satellite-level test methods, including exposure to RF/anechoic chamber testing (spectrum analyzers, network analyzers, signal generators, power meters) - Excellent organizational and planning skills, able to coordinate across multiple technical disciplines and manage competing priorities - Effective communicator, able to convey technical updates clearly to engineers, technicians, and senior management, including C-level executives WHAT SUCCESS LOOKS LIKE - Every satellite's systems and software performance is verified reliably, predictably, and to standard before it ships, including its RF/anechoic chamber test results - Systems and software verification processes are clear, structured, and scalable - Problems are isolated and solved at the root, not patched - The team takes full ownership of production and verification quality and traceability - Production and verification throughput keep pace with ICEYE's growth WHY THIS ROLE IS INTERESTING - You bring systems and software production and verification together under one scope, including the satellite's final anechoic chamber test - You own the moment of truth: proving that every satellite works end-to-end before it ships - You'll shape how production and verification are done, not just follow existing processes - You'll work at the intersection of engineering and production, where your decisions have immediate impact APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Hiring Team Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Base salary range for this position is depends on experience, and will be negotiated individually. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's Compute org is in hyper growth. As it scales, the systems and workflows that keep supply and demand balanced across our GPU fleet need to get more sophisticated, and this role exists to make sure they do. Compute sits at the center of how Baseten allocates, forecasts, and manages the capacity that powers every customer inference request. The team that supports this work, C3, runs on a mix of internal tooling, manual processes, and systems that haven't fully kept pace with the scale of the problem. This role exists to close that gap. You'll design, build, and ship AI-powered workflows that give the Compute and C3 teams real leverage, automating the manual, repetitive, and error-prone parts of the capacity lifecycle so the team can focus on judgment calls that actually need a human. We want someone who can walk in, audit what exists today, identify what's missing or broken, and start shipping fast. You know when to reach for an existing internal tool and when to build something custom in Claude Code. You think two to three steps ahead about how the thing you build today fits into the broader capacity systems architecture tomorrow. And you bring a point of view on our stack, on what we should be building, and on where AI can do something existing tooling simply can't. RESPONSIBILITIES - Ship AI-powered workflows for Compute and C3: build the agents and automations that give capacity analysts, ops leads, and engineers real leverage, off-loading manual and repetitive work like data pipeline cleanup, migration troubleshooting, and capacity investigation. - Get insights in front of the team: turn fleet utilization, allocation, and demand-forecasting data into the dashboards, alerts, and recommendations that C3 and Compute leadership actually act on. A build isn't done until the team is using it. - Audit the stack and generate your own backlog: Compute runs on a mix of tooling with real overlap and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize without waiting to be handed a roadmap. - Ship team-productivity workflows fast: triage asks from Supply, Demand, and C3, find the low-hanging fruit, and build it. A good week looks like an ops lead asking for something Monday and having it live by Wednesday. - Know when to go custom: not everything belongs in a point-and-click tool. Spin up bespoke AI-powered solutions in Claude Code when the problem calls for it, and make that call with judgment, not default. - Think in systems, not solutions: every workflow you build has upstream and downstream implications across Supply, Demand, and Engineering. Anticipate them, design for them, and don't create technical debt someone else has to unwind six months later. - Integrate third-party APIs and internal systems to sync events and information across disparate tools: ensuring data flows reliably between C3, the CRM, and the systems Compute depends on every day. - Document what you build: if people can't find it, understand it, or trust it, it doesn't matter how well it works. REQUIREMENTS - 3+ years of experience in AI/automation engineering, workflow automation, or a technical operations role, ideally at a high-growth, AI-native infrastructure or B2B company - You've shipped production agents on Vercel. Build custom internal apps and agents on Vercel, with durable workflows and sandboxed execution, so what you ship runs reliably in production instead of as one-off scripts - Genuine fluency with AI coding assistants and agent tooling (Claude Code, Cursor, Codex, or similar) - Direct experience with a CRM or system-of-record platform (Salesforce or similar) - A track record of owning end-to-end AI and automation workflows - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar) and a fundamental understanding of APIs and webhooks - Experience in high-growth technology companies, ideally in infrastructure, cloud, or operations-heavy environments NICE TO HAVE - Familiarity with GPU infrastructure, capacity planning, or fleet management concepts - Comfort building reporting and alerting on a data warehouse (BigQuery, Databricks) and BI layer (Sigma, Hex) — not as a data engineer, but as a consumer and builder on top of the data layer - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.) - Experience with high-stakes, operationally complex environments where mistakes have real business impact - Challenging work and exposure to the operational core of a fast-scaling AI infrastructure company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA; 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 Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 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.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry is looking for an Engineering Manager to lead our Growth team (internally called "Value Discovery") and help expand our product-led business by helping customers discover and get the most out of our platform. At Sentry, we do growth with an explicit bias for customer value. Our experiments are rooted in strong product sense and empathy for developers, not conversion pressure. We never surprise developers with new charges or push features they don't need. In a binary tradeoff between doing good by the customer or good by the business, the customer always wins. You'll collaborate closely with several areas of the business including Product, BizOps, Data, Design, and GTM to identify the moments in a developer's workflow where Sentry can deliver more value, make that value easier to find, and support that your approach works with data. IN THIS ROLE YOU WILL You'll lead a team of engineers, set its priorities, and be accountable for the metrics it moves. This is a new role, and the roadmap is yours to define and execute in partnership with design and data teams. - Lead work across Sentry's self-serve funnel — signup and onboarding, first-run activation moments in-product, trial and upgrade paths, and pricing and billing surfaces in partnership with the Billing team — largely in our Python/Django and TypeScript/React codebase - Evolve our experimentation foundations, in close partnership with our Data team — flagging, instrumentation, and readouts are real but far from finished - Run a fast, disciplined experimentation loop where hypotheses are argued before they're built - Hold conversion and activation alongside churn, support volume, and 90-day retention, and report all of them — including the experiments that come back flat - Grow the engineers on your team, including the underrated skill of doing excellent work on something that might be deleted next week YOU’LL LOVE THIS JOB IF YOU - Believe Growth done well is a form of customer service, not a conversion engine - Would rather ship one well-argued hypothesis than five cheap tests, and can tell the difference before the results come in - Love digging into data to find insights but form your best hypotheses from empathizing with customers - Enjoy the challenge of understanding developer workflows deeply enough to know where and when a change creates value - Want to build the measurement foundation rather than inherit one, and have opinions about what a team should/shouldn't bother instrumenting - Are comfortable being the person who says the result doesn't hold up QUALIFICATIONS - 3+ years managing engineers, including time owning a metric-driven team, on top of a strong engineering background - Technically credible with senior engineers — our EMs engage substantively in architecture and technical decisions, and every EM passes a technical assessment at a senior IC bar - Strong product sense — you identify where a change will create the most value, not just where a metric can be moved - Experience helping users get the most out of a complex product - Working fluency with experimentation frameworks, feature flags, A/B testing, and analytics instrumentation - Able to talk to users credibly about their workflows, tooling, and pain points, with genuine opinions about the developer tools you've used - Bonus: you've worked on growth at a developer tools company, built experimentation infrastructure from a low starting point, or run experiments at volumes where significance wasn't guaranteed The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $450,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Uzum Market — узбекистанская технологическая экосистема, развивающая маркетплейс, сервисы доставки и цифровой банкинг. Направление: Warehouse Efficiency & HR Ops – отвечает за массовый персонал, эффективность складских операций, а также снижение потерь и брака в маркетплейсе. Возможна удалённая работа или работа в офисе в Ташкенте.

Roundz.ai is an AI platform for conducting technical interviews and automatically screening candidates, designed specifically for the IT industry and engineering hiring.