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Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Sharjah, United Arab Emirates; Fujairah, United Arab Emirates Apt Resources is seeking an experienced Senior Workshop Supervisor / Troubleshooter to join a prestigious classic car workshop in Dubai. The successful candidate will be responsible for overseeing daily workshop operations, supervising technicians, diagnosing and troubleshooting complex vehicle issues, and ensuring that repairs and restoration work are completed to the required standards. The ideal candidate should have strong technical knowledge, extensive workshop experience, excellent troubleshooting skills, and the ability to lead and guide a team effectively. Responsibilities Supervise and coordinate daily workshop operations and activities. Lead, assign, and monitor the work of technicians and mechanics. Diagnose and troubleshoot complex mechanical, electrical, and technical issues in classic and vintage vehicles. Inspect vehicles and assess repair, maintenance, and restoration requirements. Ensure repairs and restoration work are completed accurately and according to required standards. Review completed work and ensure proper quality control before vehicle release. Provide technical guidance and support to workshop technicians. Identify recurring faults and recommend appropriate repair or maintenance solutions. Assist with diagnosing difficult or unusual vehicle problems and provide effective troubleshooting solutions. Monitor workshop schedules, job progress, and turnaround times. Ensure proper use and maintenance of workshop tools and equipment. Maintain a clean, organized, and safe workshop environment. Coordinate with management regarding vehicle repairs, technical issues, and workshop requirements. Prepare reports on identified faults, repairs, and recommended corrective actions. Ensure compliance with workshop safety procedures and technical standards. Requirements Diploma or certificate in Automotive Technology, Automotive Engineering, Mechanical Engineering, or a related technical field . Proven experience as a Workshop Supervisor, Senior Technician, Workshop Foreman, or similar senior automotive role . Strong experience in automotive diagnostics, troubleshooting, repair, and maintenance. Experience working with classic, vintage, or luxury vehicles is highly preferred . Strong knowledge of mechanical, electrical, and automotive systems. Excellent diagnostic and troubleshooting skills. Ability to identify complex vehicle faults and recommend appropriate repair solutions. Previous experience supervising or leading a team of automotive technicians. Ability to inspect and evaluate the quality of completed repair and restoration work. Good knowledge of workshop tools, diagnostic equipment, and repair procedures. Strong problem-solving and decision-making skills. Good communication and leadership skills. Ability to work independently and manage multiple workshop activities. Willingness to work in a hands-on workshop environment. Candidates must be currently based in the UAE and available to attend an in-person interview if shortlisted. Benefits As per the market standards.

Location: Dammam, Saudi Arabia We are seeking an experienced Electrical Senior Estimation & Design Engineer / Manager with 10+ years of experience in electrical estimation, design, BOQ preparation, and project bidding. The ideal candidate should have strong expertise in interpreting electrical drawings, preparing accurate quantity take-offs, developing electrical designs, and coordinating with vendors and bidding teams. Key Responsibilities Review and analyze project drawings, specifications, and requirements to determine project scope, materials, and equipment. Perform quantity take-offs and determine material and resource requirements. Prepare BOQs from MEP electrical drawings and Single Line Diagrams (SLDs). Prepare and review electrical design calculations, drawings, specifications, and BOMs . Prepare Protection Single Line Diagrams and ensure designs comply with applicable international codes and standards. Perform electrical estimation and BOQ preparation for industrial and residential facilities . Coordinate with the bidding team for project estimation and tender submissions. Coordinate with vendors and negotiate pricing and commercial terms to achieve competitive project costs. Carry out transformer sizing, DG sizing, load calculations, cable sizing, cable schedules, circuit breaker sizing, and protection system sizing . Prepare electrical layouts and Single Line Diagrams using AutoCAD . Requirements Key Responsibilities Review and analyze project drawings, specifications, and requirements to determine project scope, materials, and equipment. Perform quantity take-offs and determine material and resource requirements. Prepare BOQs from MEP electrical drawings and Single Line Diagrams (SLDs). Prepare and review electrical design calculations, drawings, specifications, and BOMs . Prepare Protection Single Line Diagrams and ensure designs comply with applicable international codes and standards. Perform electrical estimation and BOQ preparation for industrial and residential facilities . Coordinate with the bidding team for project estimation and tender submissions. Coordinate with vendors and negotiate pricing and commercial terms to achieve competitive project costs. Carry out transformer sizing, DG sizing, load calculations, cable sizing, cable schedules, circuit breaker sizing, and protection system sizing . Prepare electrical layouts and Single Line Diagrams using AutoCAD . Requirements 10+ years of relevant experience in Electrical Estimation and Design. Strong experience in BOQ preparation, quantity take-offs, and electrical estimation . Hands-on experience with SLD preparation and interpretation . Strong knowledge of electrical design calculations and equipment sizing. Experience working with MEP electrical drawings for industrial and residential projects. Proficiency in AutoCAD . Good understanding of international electrical codes and standards. Strong vendor coordination, negotiation, and bidding/tendering skills.

Основные требования: — Продвинутые знания в области Kubernetes, включая глубокое понимание жизненного цикла модуля, развертываний, служб, автоматического масштабирования и устранения неполадок, а также практический опыт работы с GKE — Опыт работы с Python, включая автоматизацию, написание сценариев и навыки работы с инфраструктурой — Опыт работы с наблюдаемостью, мониторингом, протоколированием, трассировкой и сравнительным анализом производительности — Практический опыт работы с сервисами GCP, включая GKE, GCS и облачный мониторинг / ведение журнала — Опыт работы с MLOps, включая развертывание и эксплуатацию моделей ML, работу с vLLM или аналогичными платформами и управление рабочими нагрузками на GPU в Kubernetes — Глубокое понимание автомасштабирования с помощью HPA, Metrics Server и базовые знания Cluster Autoscaler — Опыт проектирования и поддержки конвейеров CI/CD с использованием GitHub Actions — Отличные навыки работы с Python для автоматизации, написания сценариев и инфраструктурных задач Чем предстоит заниматься: — Предоставлять согласованные показатели производительности в масштабах всей платформы для всех рабочих нагрузок и команд, выполняющих логический вывод, обеспечивая четкое представление об эффективности системы и узких местах — Проводить стандартизированный межоблачный сравнительный анализ между основными поставщиками Kubernetes для обеспечения надежного сравнения производительности — Поддерживать отчетность руководства с помощью ежемесячных результатов работы в облаке, которые позволяют получать точную информацию и принимать решения на основе данных — Позволять командам проверять новые функции, включая автоматическое масштабирование, планирование, хранение, выделение ресурсов для узлов, оптимизацию vLLM и поддержку ускорителей, используя унифицированные платформы бенчмаркинга, согласованные с OKR организации — Расширять платформу бенчмаркинга, чтобы учесть задержки при запуске и особенности масштабирования для нескольких семейств моделей и конфигураций оборудования — Интегрировать автоматизированные API-интерфейсы бенчмаркинга, информационные панели и конвейеры создания отчетов для упрощения оценки производительности — Сотрудничать с инженерными группами для поддержки повторно используемых компонентов логического вывода, обеспечивая при этом точное планирование, подготовку инфраструктуры и отчетность Что мы предлагаем: — Возможности профессионального и карьерного роста — Поддержка в получении профессиональных сертификатов — Программа наставничества — Медицинская страховка — Участие в корпоративных мероприятиях — Гибкие форматы работы (гибридная/удаленная) — Оплачиваемые отпуска и больничные

Задачи: — Разработка новых и улучшение существующих инструментов тестирования; — Разработка и поддержка инфраструктуры тестирования и автоматизированных тестов; — Автоматизация управления результатами тестирования (хранение, архивирование, поиск, анализ); — Отладка и устранение неполадок результатов тестирования, взаимодействие с командами разработки компонентов для их анализа; — Улучшение процедур тестирования в проекте, связанном с QA для AI; — Работа с географически распределёнными международными командами по техническим задачам и улучшению качества. Требования: — Глубокие знания методологий и техник тестирования (функциональное, нефункциональное, интеграционное, системное, HA и отказоустойчивость и др.); — Опыт тестирования с использованием Python не менее 4 лет, разработка инструментов тестирования; — Навыки программирования на shell scripting; — Опыт работы с виртуализационным ПО; — Знания и опыт работы в операционных средах UNIX или Linux; — Знание и понимание сетевых концепций (модель OSI, TCP/IP и др.); — Опыт работы с GIT; — Опыт работы с системами непрерывной интеграции (CI) типа Jenkins; — Опыт работы с REST API; — Хорошие коммуникативные навыки на английском языке (уровень Upper-Intermediate или выше), устные и письменные; — Мотивация и готовность к обучению и сотрудничеству; — Способность работать в быстром темпе и быстро обучаться. Желательно: — Опыт работы с виртуализационным ПО; — Опыт работы с Kubernetes; — Опыт работы с OpenStack; — Опыт работы с публичными облачными провайдерами; — Опыт работы с релизными циклами. Условия: — Работа с лидером в области управления контейнерами в Кремниевой долине; — Работа с талантливыми коллегами, поддержка клиентов из Fortune 500 и Global 2000; — Участие в передовых проектах с открытым исходным кодом; — Работа в динамичной молодой компании с ценностями открытости, сотрудничества, риска и постоянного роста; — Профессиональное развитие и обучение; — Участие в конференциях и рабочих группах; — Индивидуальное рабочее место (macOS, Windows); — Конкурентоспособный компенсационный пакет с хорошими льготами и опционами на акции.

Задачи: — Разработка AI-агентов, которые выполняют рабочие процессы, а не только чат-интерфейсы. — Работа с агентами, которые подключаются к API и внутренним системам, используют инструменты, извлекают контекст, принимают решения на нескольких шагах и восстанавливаются при сбоях. Требования: — Опыт разработки на Python и бекенд инженерия. — Опыт работы с LLM API и агентными системами в продакшене. — Знание LangGraph, LangChain, LlamaIndex или аналогичных технологий. — Опыт работы с вызовом функций/инструментов и структурированными выводами. — Знание RAG, embeddings, векторного поиска и управления контекстом. — Опыт работы с состоянием агента, памятью, маршрутизацией, повторными попытками и логикой резервного копирования. — Интеграция API и событийно-ориентированные рабочие процессы. — Оценка, трассировка и отладка LLM. — Опыт работы с Docker, Kubernetes, CI/CD и AWS. — Приветствуется опыт мультиагентной оркестрации, MCP, workflows с участием человека и мониторингом агентов в продакшене. Условия: — Удалённая работа. — Полная занятость или контракт.

Задачи: — Own complex product features end-to-end — from understanding the problem and shaping the solution through implementation, launch, and iteration. — Work closely with the product team to shape what we build, challenge assumptions, and turn ambiguous problems into great product experiences. — Build polished, responsive product experiences using React and TypeScript. — Prototype and iterate on interactions quickly, using code, design tools, and AI to find the right solution. — Obsess over the details that make interfaces feel great: interaction, motion, responsiveness, loading states, transitions, and microinteractions. — Build and evolve reusable frontend components and our design system, improving consistency without sacrificing flexibility. — Proactively identify places where the existing product experience can be improved — and take ownership of improving them. — Maintain a high bar for performance, accessibility, reliability, and frontend engineering quality. Требования: — 5+ years of experience building high-quality, customer-facing web products. — Excellent knowledge of React, TypeScript, modern CSS, and browser technologies. — A track record of owning and shipping complex product features end-to-end, rather than working only on isolated components or implementation tasks. — Strong product and UX judgment — you can recognize when an interaction doesn't feel right and propose a better solution. — Exceptional attention to detail and a desire to build interfaces that feel polished, responsive, and intentional. — Experience building sophisticated animations and interactive UI. — Strong understanding of modern frontend engineering practices and the judgment to know when and how to apply them. — Comfortable taking an ambiguous product problem and turning it into a concrete solution. — Strong ownership mindset — you take responsibility for outcomes, not just tasks. — Strong desire to actively contribute to product evolution, not just implementation. — Comfortable operating in a fast-paced startup environment and working on multiple problems in parallel. — Clear and proactive communication in a distributed team. — Excellent knowledge of React and TypeScript. — Strong command of HTML, CSS, browser APIs, and modern frontend architecture. — Experience building responsive, high-performance web applications. — Experience with animation and interaction libraries and building complex UI transitions. — Experience building reusable component systems and frontend abstractions. — Strong understanding of frontend performance, accessibility, and cross-browser behavior. — AI-native workflow is your default for product exploration, implementation, debugging, and iteration. Плюсом будет: — Experience building or evolving design systems and component libraries. — Strong Figma skills and the ability to explore interaction ideas independently before implementation. — Experience building highly interactive consumer applications where performance and perceived performance matter. — Experience with Browser Extension development. — Hands-on Web3 experience: wallets, dApps, blockchain interactions, or DeFi. — Prior experience in a startup environment that emphasizes trust and autonomy. — Located in time zones close to Europe for smoother collaboration. — Curiosity and willingness to challenge existing solutions when better ones exist.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Our Employee Lifecycle team makes sure every Ramp employee has a great experience, from their first day through their last and through every change in between. As Associate, Employee Lifecycle Data, you'll own and look after the employee data behind all of it. You'll keep our Workday data accurate and well structured, and you'll make sure it flows correctly into the systems that depend on it. This is a new role in its current scope. You'll own employee data changes from start to finish, manage the data structure that shapes our org, and set up reconciliation and error reporting across our integrations. We're looking for someone who gets the details right, finds the root cause when data breaks, and builds processes that scale as Ramp grows. We're moving to Workday on January 1, and we want this person on board before go-live so they can run our employee data changes from day one. WHAT YOU'LL DO Employee data changes - Own the process design and execution for role changes like transfers, promotions, manager and title changes, plus relocations (using our comp calculator for basic geo adjustments and partnering with Global Mobility on more complex moves) - Own intake and completion of one-off data changes through Serval (our ticketing system) tickets, meeting SLAs and giving employees a clear, helpful experience - Review and approve data change transactions to protect data quality - Support internal mobility cycles and position management in Workday (and Ashby) - Partner with People Business Partners, Compensation and other stakeholders to clarify requirements, manage handoffs and keep data changes moving accurately and on time Bulk changes - Own bulk data changes from start to finish, including reorgs, comp cycles and mass updates: prepare and validate the data, run the loads and confirm the results - Build review steps and checklists that make large changes repeatable and low-risk, and partner with HRIS on EIB templates and system-level controls Data quality, reconciliation and stewardship - Build and run regular reconciliation between Workday and downstream systems, including benefits providers and international payroll - Monitor integration errors, find root causes and fix data and process gaps with HRIS, Payroll, Benefits and vendor partners, escalating system or integration fixes to HRIS with clear root-cause analysis - Define and document data standards, ownership and controls for employee data, and run regular audits to find and fix issues in partnership with HRIS team - Be the go-to expert on how employee data works at Ramp, and help teammates and partners understand it WHAT YOU NEED - 3-6+ years of experience in HR operations, HRIS, or HR data roles - Experience with data changes in Workday HCM, including the ability to manage employee data throughout the full employee lifecycle - processing employee changes, organizational updates, job changes, and audits. - A solid understanding of payroll and benefits data, and of how HRIS integrations feed those systems. - A track record of building reconciliation, audit or error-reporting processes from scratch - Strong attention to detail, a habit of checking your work before and after changes, and sound judgment with sensitive, confidential employee data - Advanced Excel/Google Sheets skills for data analysis, validation and reconciliation, plus sound judgment when using AI tools—knowing when to rely on them and when human review is essential - Clear communication with employees and stakeholders at every level - A process-improvement mindset: you fix the underlying cause of what breaks repeatedly, and build scalable processes that uphold data standards while enabling the business NICE TO HAVES - Experience at a fast-growing company where the org structure changes often - Experience with Serval, JIRA, or similar service desk tools - Experience with Workday reporting - Experience building data workflows, with and without AI - SQL skills BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Москва Мы новое подразделение Сбера, занимающееся созданием инструментов и решений для внутренней безопасности с помощью AI. Наши задачи направлены на развитие AI-агентов, создание RAG, запуск локальных инстансов LLM и их файнтюнинг. Наши планы имеют широкий спектр - начиная от разработки DL-моделей для скоринга, поведенческого моделирования и заканчивая графовыми нейронками для выявления скрытых связей. Ищем Middle/Senior Data Scientist, который будет разрабатывать AI-агентов, адаптировать LLM под специфику задач, строить RAG-системы. Если ты хочешь иметь возможность погрузиться в глубины LLM и Deep Learning, пробовать новые методы к файнтюнингу LLM, строить AI-агентов, то мы ждем тебя в нашу команду. Обязанности * cоздание и развитие решений с задействованием LLM-агентов (полноценные мультиагентские системы) * cоздание RAG-систем * разработка и поддержка ML/DL моделей, включая их обновление и адаптацию к меняющимся условиям и требованиям бизнеса * дообучение и адаптация открытых LLM * создание системы мониторинга качества моделей и контроль их эффективности. Требования * оконченное высшее образование * опыт работы от пяти лет в коммерческой разработке на позиции Data Scientist / ML Engineer с подтверждённым опытом вывода моделей в продакшен * понимание математики классического ML и архитектуры нейросетей (PyTorch/TF) * уверенное понимание архитектуры трансформеров, опыт работы с LLM API и локальными моделями через PyTorch / Hugging Face * уверенный Python (чистый код, ООП, знание numpy/pandas/scikit-learn) и понимание принципов микросервесной архитектуры (Asyncio, FastAPI) * опыт создания агентов на LangChain/LangGraph * знание основных концепций промпт-инжиниринга и использования Structured Outputs и Function Calling * опыт проектирования и развития RAG-систем (Multi-stage Retrieval, Dense + Sparse/BM25, Rerankers, Chunking strategies) * опыт развертывания локальных open-source моделей (Llama, Mistral, Qwen, DeepSeek и др.) в продакшн-окружении и настройки высокопроизводительного инференса LLM с помощью vLLM * опыт проведения Fine-tuning LLM-моделей (PEFT, LoRA/QLoRA) * настройка мониторинга data drift и model decay, а также валидация моделей * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти * среда для обмена знаниями – высокая экспертиза внутри команды; * сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать * нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам * стабильная заработная плата и годовой бонус * полностью офисный формат работы. Современный IT-офис вблизи Москва-Сити в пяти минутах от метро "Кутузовская", с фитнес залом * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * подписка Прайм с возможностью совместного использования на трёх близких * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * вознаграждение за рекомендацию друзей в команду Сбера.

В обязанности входит проектирование и развитие телефонной платформы, а также создание архитектуры телефонии для различных задач. Необходимо развертывать и обеспечивать поддержку Asterisk/Asterisk в рабочей среде. Кандидат должен иметь опыт работы с Asterisk, включая конфигурацию, dialplan и ARI, а также более пяти лет коммерческого опыта в телекоммуникациях или разработке VoIP.

About Utorg: Founded in 2019, Utorg builds infrastructure for stablecoin payments including on- and off-ramps, self-custodial wallets, and crypto cards. The platform serves over 2 million users in 130+ countries and supports 2,100+ B2B platforms with $2.4B+ moved to date. The company is fully MiCA-authorized across the EEA and PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Tasks: — Own backend architecture across two large-scale microservice platforms (30+ and 25+ services), including system design, API contracts, data flow, and inter-service communication. — Lead complex integrations with payment providers, card issuers, blockchain networks, and third-party APIs, ensuring reliability in production. — Drive performance and scalability by identifying bottlenecks, designing caching strategies, optimizing database queries, and ensuring platform handles growing load. — Shape technical direction by making architectural decisions, evaluating trade-offs, and influencing engineering standards. — Partially offload the Tech Lead to help scale the team. — Build and improve AI-powered processes using LLM-based systems to automate operational and development workflows. — Contribute to office frontends (~20% time) by maintaining and extending React-based admin dashboards. — Own features end-to-end from planning and design to implementation, testing, production monitoring, and iterative improvement. — Collaborate closely with Product, QA, and cross-functional teams, produce technical documentation, participate in code reviews, and share knowledge. — Participate in shared on-call rotation approximately one week per month. Requirements: — 5+ years of production backend development experience with TypeScript/Node.js. — 2+ years of production experience with NestJS including modules, providers, middleware, guards, interceptors, and microservice architecture. — Deep PostgreSQL expertise including schema design, indexing (partial, GIN/GiST), query optimization, zero-downtime migrations, and database-per-service pattern. — Hands-on microservices experience (not monolith split into modules). — Experience with inter-service communication (RPC, pub/sub), message brokers, idempotency, eventual consistency, saga/outbox patterns. — System design skills including decomposing services, designing API contracts, data flow architecture, and capacity planning. — Ability to whiteboard systems and explain architectural decisions. — Experience with complex integrations with third-party APIs, payment systems, or similar external services in production. — Knowledge of retries, circuit breakers, and graceful degradation. — Performance engineering skills including profiling, caching strategies, load analysis, and bottleneck identification. — Ability to optimize slow queries and services. — Production blockchain experience with on-chain transactions, multiple networks, and real user funds. — Understanding of HD wallets (BIP32/BIP39), smart contracts, ABI, ERC-20/SPL tokens, and account-based vs UTXO models. — Experience with libraries such as ethers.js, viem, and solana/web3.js. — AI-driven development experience using AI tools (Claude, Copilot, Cursor) and optimizing business or organizational processes with AI/LLMs. — Strong testing discipline including unit tests (Jest), integration tests with real databases, and microservice testing. — Security-conscious coding practices suitable for fintech and crypto. — Skilled in technical research, evaluating trade-offs, testing hypotheses, and making data-driven architectural decisions. — English proficiency at Upper-Intermediate level. — Fluent in Russian. Nice to have: — Experience with NATS JetStream as a transport layer. — Observability tools: OpenTelemetry, Prometheus + Grafana, structured logging (pino), distributed tracing. — Advanced Kubernetes skills including Kustomize/Helm, deployment strategies, and resource management. — Fintech domain knowledge: PCI DSS, GDPR, KYC/AML, payment systems. — Experience mentoring junior/middle developers. — React basics for office UIs (functional components, hooks, Redux, Material-UI). — Close collaboration with Product, QA, Frontend, and Mobile teams; essential cross-functional communication. Key results expected: 30 days: Ship first features to production, deep dive into stack, architecture, and domain. 60 days: Independently drive complex integration or major feature, participate in architectural code reviews, propose improvements. 90 days: Make architectural decisions, influence technical direction, partially offload Tech Lead, participate in planning. Conditions: — Fully remote work. — Agile, international team. — Engineering culture encouraging modern tools and development practices. — Two career tracks: Tech Lead or Staff/Principal IC. — Career progression and professional development in fintech. — Competitive salary based on individual performance review. — Transparent feedback culture valuing ownership and open dialogue. Recruitment process: — Submit application and CV. — Application review. — HR interview. — Technical interview. — Team Lead interview. — Offer and next steps.

В обязанности старшего редактора входит полное сопровождение издательских проектов — от разработки идеи до подготовки к печати и допечаткам. Необходимо создавать концепции книг и серий, формировать их структуру и содержание, а также редактировать и адаптировать тексты для детской аудитории, включая дошкольников и школьников. Важной частью работы является планирование и контроль сроков с использованием индивидуальных графиков и Agile-методик. Редактор координирует деятельность фрилансеров — переводчиков, авторов, художников и других редакторов. Также требуется контроль макетов, внесение корректировок, согласование обложек и внутренних страниц. Взаимодействие с иностранными правообладателями включает согласование материалов и работу с правками. Помимо этого, необходимо рассчитывать себестоимость изданий и участвовать в определении технических параметров. Анализ рынка, конкурентов и продаж помогает генерировать идеи для новых проектов и переизданий. Редактор готовит материалы для редколлегий и участвует в запуске новых проектов. Требования к кандидату включают минимум три года опыта работы редактором в книжном издательстве, предпочтительно с детской литературой или нон-фикшн, опыт ведения проектов полного цикла, знание полиграфических процессов и работы с макетами, а также умение взаимодействовать с фрилансерами и подрядчиками. Навыки работы с аналитикой продаж и ассортиментом также необходимы. Работа предполагается в офисе в Москве.

Задачи: — Разрабатывать полный цикл креативных концепций для B2b- и B2с-кампаний, бренд-инициатив, специальных проектов и корпоративного мерча. — Гарантировать, что концепции основаны на инсайтах аудитории и рыночных трендах.

Задачи: — Повышать скорость экспериментов команды, ускорять запуск, получение и анализ результатов. — Поддерживать и развивать JAX фреймворк для обучения моделей, обеспечивая масштабируемость и эффективность на TPU. — Улучшать качество данных для обучения моделей, выявлять и исправлять проблемы, повышая точность. — Анализировать точность продакшн-моделей, строить системы оценки и определять приоритетные улучшения. — Переводить исследовательские прототипы в продакшн-системы, рефакторить и модернизировать архитектуры и инфраструктуру. — Оптимизировать продакшн-инференс для речевых моделей, включая архитектуру сервиса и техники квантования, спекулятивного декодирования. — Исследовать и устранять узкие места в производительности на всех уровнях стека, от низкоуровневых ядер (XLA, Pallas) до системного дизайна. — Сотрудничать с исследователями, инфраструктурной и продакшн-командами для выявления и устранения проблем. Требования: — Экспертное владение JAX и TPU, включая экосистему Flax, Optax, XLA. — Дисциплина измерений: определять успех заранее, критически оценивать результаты. — Готовность работать с полным пайплайном, включая данные и оценку. — Опыт оптимизации систем инференса для продакшна, желательно с LLM или речевыми моделями. — Глубокое понимание распределённого обучения, современных систем глубокого обучения и ML-инфраструктуры. — Знание современных техник оптимизации инференса: непрерывная пакетизация, управление KV-кэшем, стратегии шардирования, квантование. — Энтузиазм к рефакторингу и улучшению существующих систем. — Сильные навыки Python; опыт C++ или Rust для низкоуровневой работы — плюс. — Отличные коммуникативные навыки и умение работать в команде. Бонус: — Знания в области Speech-to-Text: архитектуры ASR, аудиопроцессинг, стриминговый инференс. Условия: — Удалённая работа. — Полная занятость. — Зарплата в США от $270,000 до $310,000 в год. Компания AssemblyAI — лидер в области Voice AI, обрабатывает миллионы часов аудио и API вызовов ежедневно, работает в режиме meritocracy без бюрократии, с высокой степенью ответственности и влияния каждого сотрудника.

About the Role: We're hiring our first Senior GTM AI Engineer. This is a software engineering job inside the revenue org. You will build the pipelines, internal tools, and agents that decide which companies we go after, how we reach them, and what our sellers see when they open their laptop in the morning. Most of what a sales ops team used to do by hand is now something you can write software to do. Tasks include finding every company building voice AI before they contact us, researching accounts and drafting first emails, watching product usage to alert AEs about customer expansion or churn, and keeping the CRM clean without manual form filling. You will build those systems, run them in production, and be judged on whether pipeline and revenue move. Your users are AEs, SDRs, and GTM leaders. Your job is to make a small team perform like one three times its size. What You'll Do: — Write code every day, mainly Python services, SQL models, scheduled jobs, and small internal apps. — Use Claude Code and similar tools to ship quickly. — Build agents for account research, lead qualification, outreach drafting, CRM hygiene, and usage monitoring. — Design, equip, evaluate, and maintain these agents. — Turn product usage data in BigQuery and Looker into actionable signals for sellers. — Build the account targeting machine: sourcing, enrichment, deduplication, and ICP scoring. — Integrate existing systems (CRM, enrichment providers, outbound tools) for seamless data flow. — Maintain funnel data trustworthiness through routing rules, field governance, and attribution. — Prototype rapidly, measure effectiveness, discontinue ineffective solutions, and collaborate with Sales and Marketing leadership. — Document your work for sustainability. What You'll Need: — 4+ years as a software engineer, data engineer, or growth/GTM engineer with experience shipping systems others depend on. — Strong Python and SQL skills. — Ownership of production automations end to end: APIs, webhooks, scheduled jobs, retries, error handling, and monitoring. — Experience building with LLMs beyond single prompts: multi-step agents, tool use, retrieval, and evaluation. — Ability to assess agent output quality and choose appropriate tools. — AI-assisted development experience using tools like Claude Code daily. — Solid fundamentals: clean code, version control, code review, debugging, and systems thinking. — Ability to ship independently without an engineering team. — Curiosity about sales organizations and willingness to learn CRM and related tools. — Builder's mindset with operator's judgment: scoping for business impact, iterative shipping, and measuring pipeline and revenue results. — Low ego, high ownership, and comfort as a single-threaded owner of a domain. Nice to Have: — Hands-on Salesforce or other CRM experience at object and API level, or experience with enrichment and outbound tools like Clay. — Experience with dbt, BigQuery, Looker, or equivalent warehouse and BI stack. — Experience at developer-facing or API-first companies or selling to technical buyers. — Experience as the first engineer in a sales or growth org building the function from scratch. Pay Transparency: Salary range: $160,000 to $220,000 per year for candidates in the U.S. Adjustments may apply for other regions.

Задачи: — Оптимизировать и актуализировать архитектурные решения, которые со временем перестают эффективно справляться со своими задачами

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’s AI capabilities span infrastructure, product features, design, and data ingestion. We’re hiring a Senior Technical Program Manager to connect this work across teams, helping them make decisions, manage dependencies, and deliver a cohesive product experience. Our AI/ML team is building a modular platform for model routing, agent execution, and evaluations. Issues Platform owns customer-facing experiences such as issue details, activity feeds, and notifications. Product Design shapes how these experiences work together, while Ingest provides the underlying data pipeline. You’ll lead the program across these teams: clarifying ownership, sequencing work, managing integration risks, and coordinating release readiness. You’ll partner with team leads to connect their plans and resolve gaps between roadmaps. You’ll also improve how engineering changes reach teams across Engineering, Product, and Design, along with Documentation and Support. Your goal is a lightweight process giving partners the information and preparation time they need before changes reach customers. You’ll join an early TPM team and help shape how the function works at Sentry. Success means helping teams deliver together through technical judgment, clear communication, and practical coordination. This role is based in San Francisco, with three days per week in the office. WHAT YOU’LL DO AI DELIVERY - Connect roadmaps across AI/ML, Issues Platform, Product Design, and Ingest into a shared delivery plan. - Sequence platform capabilities, product features, and design work so teams address dependencies before they delay a release. - Help teams assign accountable owners, resolve open decisions, and communicate commitments. - Partner with engineering and product owners to define release readiness, including evaluation results, staged rollouts, eligibility, and access requirements. - Bring ingestion and reliability dependencies into roadmap discussions so teams understand the risks behind delivery commitments. - Drive risk mitigation with clear owners, contingency plans, and timely escalation. - Give teams and leadership an accurate view of progress, dependencies, decisions, and risks. CHANGE READINESS - Build a lightweight process for identifying changes affecting other teams, notifying partners, and confirming readiness before release. - Include documentation and support preparation in delivery planning, starting with AI features. - Establish concise updates showing what is changing, when, and who needs to act. - Review communication and readiness gaps with the teams involved, then improve the process. - Keep the effort proportional to the change and remove steps which don’t improve delivery. HOW YOU WORK - You help teams bring structure to complex programs with unclear ownership or no established process. - You listen to different perspectives, make tradeoffs visible, and help teams resolve competing priorities. - You engage with technical details and connect architectural decisions to delivery risks and product outcomes. - You raise risks early, propose practical responses, and follow through. - You adapt processes to teams’ needs and simplify them when the value is unclear. - You respect team ownership while helping cross-team decisions reach resolution. - You share information clearly so partners have the context they need to contribute. QUALIFICATIONS - Experience leading complex technical programs from problem definition through launch. - Experience coordinating delivery across multiple engineering teams with separate roadmaps and leadership. - Technical understanding to review design proposals, discuss architectural tradeoffs with engineers, and identify integration risks and downstream effects. - A track record of managing dependencies, driving risk mitigation, and adapting plans as conditions change. - Experience creating or improving processes which teams adopted and sustained. - Clear written communication, including program updates, decision records, and escalations with explicit next steps. - Experience building alignment across engineering, product, and design through sound judgment and follow-through. Relevant experience might come from technical program management, software engineering, or another role involving ownership of cross-team technical delivery. PREFERRED EXPERIENCE - Shipping AI/ML or LLM-backed features, including evaluations, quality checks, and staged rollouts. - Partnering with product design to coordinate design and engineering work. - Working with data pipelines, ingestion, or streaming infrastructure. - Building developer tools or technical B2B products. - Improving release communication across engineering, documentation, and support. Experience in every preferred area is not required. TEAM PRINCIPLES - Make work visible. Keep plans, ownership, decisions, and next steps clear and current. - Raise risks early. Give teams time to respond before delivery is affected. - Reduce friction. Build practices which help teams get work done. - Respect ownership. Support informed decisions and help accountable owners resolve open questions. - Keep partners informed. Communicate changes to scope, timing, and readiness before they affect others. The base salary range Sentry reasonably expects to pay for this position is $150,000 to $240,000 USD. 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/.

Задачи: — разработка фронтенда для проекта по бронированию отелей через приложение — участие в проекте на старте, возможность влиять на архитектуру Требования: — опыт работы с React, TypeScript, SPA, PWA, REST API, axios, HTML5, CSS3 Условия: — проект на старте, возможность влиять на архитектуру

Location: Abqaiq, Saudi Arabia We are looking for an experienced Senior Electrical Engineer with 20+ years of experience in electrical engineering, project execution, construction, and commissioning. The candidate should have strong expertise in large-scale power generation, transmission, and distribution projects. Key Responsibilities Lead electrical engineering, construction, pre-commissioning, and commissioning activities. Ensure project execution complies with contract requirements, schedule, cost, HSE, quality, and company procedures. Review electrical designs, drawings, specifications, and technical documentation. Supervise electrical equipment installation, testing, inspection, and commissioning. Coordinate with project managers, engineers, contractors, vendors, clients, and other stakeholders. Conduct site inspections and resolve technical and construction issues. Ensure electrical systems are designed and installed in accordance with applicable standards and project requirements. Requirements Bachelor’s Degree in Electrical Engineering. 20+ years of relevant experience in electrical engineering and project management/execution. Strong experience in power generation, transmission, and distribution systems. Hands-on experience in equipment installation, testing, pre-commissioning, and commissioning. Proficiency in ETAP and familiarity with Flowstar, MS Office, PLC, SCADA, DCS, network communication protocols, and vibration analysis software . Knowledge of electrical design principles, power systems, circuit analysis, and control systems. Experience with laser alignment tools , equipment, and construction tooling. Strong communication, leadership, and stakeholder management skills. Full professional proficiency in English. Preferred Certifications Vibration Analyst – ISO Category I Certified Seal Assembly Artisan