Вакансии

You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.

🔹 Requirements: Windows desktop application testing, TestComplete automation, regression and smoke testing, QA process improvement, client communication and consulting, English C1/C2.

• 3+ года в B2B SaaS и кейсы, где вы сами нашли проблему, выпустили решение и сдвинули метрику.

Location: Brazil; Peru; Colombia; Argentina; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Dev Platform team builds the internal platform that Kraken's engineers use to build, ship and run software. Within Dev Platform, the AI Gateway is Kraken's company-wide LLM gateway: a single, governed entry point that gives teams self-service access to leading models from providers such as Anthropic, OpenAI and Google, with visibility into usage and cost, configurable budgets and rate limits, and routing across models and providers for efficiency and resilience. THE OPPORTUNITY - Own the reliability, availability and performance of the AI Gateway as a production-critical service used across the company, including SLOs, error budgets and on-call practices - Design the gateway's resilience: multi-provider routing, failover, retries, rate limiting and graceful degradation when an upstream model provider is slow or unavailable - Set the technical direction for gateway architecture, capacity planning and scaling as LLM traffic grows and more workloads move onto the gateway - Build observability for LLM traffic, covering latency, errors, token usage and cost, attributed by team and use case - Partner with Security, Finance and AI governance stakeholders to put access controls, budgets, audit logging and data-handling requirements into the platform - Lead incident response and blameless post-incident reviews, and turn what you learn into lasting reliability improvements - Automate operations through infrastructure as code, safe deployments and progressive rollouts - Mentor engineers and raise the operating standard across Dev Platform SKILLS YOU SHOULD HODL - Extensive experience in site reliability, infrastructure or platform engineering, with a track record of owning high-traffic, business-critical services in production - Deep hands-on experience with Kubernetes, a major cloud provider and infrastructure as code (for example Terraform) - Strong command of SLOs, observability and incident management, and the judgment to know which reliability work matters most - Proficiency in a language such as Rust or Python, and comfort reading and contributing to a production service's codebase - Experience with API gateways, reverse proxies or traffic management: load balancing, rate limiting, failover and caching - Experience with Consul and Vault for service discovery, configuration and secrets management - Working knowledge of authentication and authorization mechanisms for internal platforms and APIs, such as OAuth 2.0/OIDC, JWT, mTLS and API keys, and how to apply them to a multi-tenant service - Experience with model evaluations: building or operating eval pipelines to compare models, prompts and agents, and to catch quality regressions before and after rollout - Familiarity with coding agents and agent harnesses (for example OpenHands, Claude Code or similar), including running them safely in sandboxed environments for engineering teams - Experience with agent memory systems and the databases behind them (vector stores, search, relational and key-value stores), and operating them reliably - Staff-level influence: you set direction across teams, write clear design documents and bring others with you - Good judgment balancing reliability, cost and developer velocity for internal customers NICE TO HAVES - Experience operating LLM gateways or integrating LLM provider APIs at scale (streaming, token-based rate limiting, model routing, caching) - Experience hosting and serving models yourself, including vLLM, and running distributed inference or training workloads with Ray (GPU scheduling, batching, autoscaling, cost per token) - Experience designing, developing and maintaining Kubernetes controllers and operators (for example with controller-runtime or kubebuilder), including CRDs, reconciliation loops and safe upgrades - Experience with cost attribution, budgeting or FinOps for usage-based services - Background in security-sensitive or regulated environments such as financial services or crypto - Contributions to open-source gateway, proxy or observability projects Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Brazil; Uruguay; Peru; Colombia; Argentina; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Dev Platform team builds the internal platform that Kraken's engineers use to build, ship and run software. Within Dev Platform, the AI Gateway is Kraken's company-wide LLM gateway: a single, governed entry point that gives teams self-service access to leading models from providers such as Anthropic, OpenAI and Google, with visibility into usage and cost, configurable budgets and rate limits, and routing across models and providers for efficiency and resilience. THE OPPORTUNITY - Build and extend the AI Gateway: new model and provider integrations, routing policies, budgets, rate limits, and usage and cost reporting - Design the APIs, SDKs and self-service tooling that let engineers across Kraken onboard to the gateway quickly and safely - Help teams migrate their LLM workloads onto the gateway with minimal disruption - Implement access control, key management and audit logging in partnership with Security - Instrument the gateway so teams can see latency, errors, token usage and cost for their own workloads - Own features end to end, from design through production, and keep the service reliable alongside SRE - Support internal users with clear documentation, debugging help and a tight feedback loop that shapes the roadmap - Contribute to code review, design documents and engineering practices across Dev Platform SKILLS YOU SHOULD HODL - Solid experience as a backend or platform software engineer building and operating APIs and distributed services in production - Strong skills in a backend language such as Rust, Python or TypeScript, with a habit of writing well-tested, maintainable code - Working knowledge of how LLM APIs behave: authentication, streaming responses, token accounting, rate limits and provider failure modes - Experience with observability, CI/CD and containers, and comfort with Kubernetes and a major cloud provider - Ability to design clean, well-documented APIs for internal customers and to weigh their feedback - Clear written and verbal communication, and the ownership to carry work from idea to production NICE TO HAVES - Experience with API gateways, proxies or traffic management - Experience building LLM-powered systems, including routing, caching, evaluation or cost controls - Familiarity with authentication and authorization patterns (OAuth, OIDC, RBAC) - Contributions to open-source infrastructure or developer-platform projects Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

• Сильная база в математической статистике и теории вероятностей. • Регрессионные модели и ML, Python и SQL.

— Владеть продуктовой зоной end-to-end и отвечать за метрику, а не за релиз. — Разбирать размытые проблемы до первопричины и строить модель, а не собирать список хотелок.

🧠 Развивать пайплайны генерации на generative AI моделях: сообщения в чатах (LLM), изображения и видео. 🎞 Работать с text-to-video, image-to-video, video-to-video, character-consistent video, lip-sync, motion transfer, face consistency.

• Опыт работы с одним из языков для автоматизации (Python, Java, C#). • Готовность писать код для тестов и анализа логов.

Location: Москва Мы развиваем продукты автоматизации кибербезопасности в Сбере, помогающие специалистам SOC быстрее расследовать инциденты, реагировать на угрозы и управлять сетевыми доступами. Сегодня мы занимаемся двумя направлениями: \* SOAR – платформа автоматизации расследования и реагирования на инциденты кибербезопасности, объединяющая инструменты SOC, системы защиты и ИТ-инфраструктуру; \* AST – платформа автоматизации управления сетевыми доступами: от формирования согласованных правил по запросам от внешних систем до их применения на межсетевых экранах. Мы планируем активно развивать собственную технологическую платформу, постепенно переходя от вендорских решений к сервисам собственной разработки на Python и TypeScript. В числе новых направлений сервисы автоматизации реагирования, интеграционные платформы и AI-агенты для выполнения задач кибербезопасности. Ищем DevOps-инженера, который поможет создавать инфраструктуру для новых продуктов: выстраивать процессы CI/CD, автоматизировать развёртывание сервисов, обеспечивать их наблюдаемость, безопасность и отказоустойчивость. Предстоит не просто поддерживать готовые решения, а участвовать в формировании инфраструктурной архитектуры и инженерных практик, на которых будут строиться новые продукты команды. Обязанности * строить и развивать CI/CD: сборка, тестовые прогоны, QG, выпуск релизов; * автоматизировать развёртывание и сопровождение сервисов: Ansible, контейнеризация, окружения DEV/ИФТ/ПСИ/ПРОМ; * доводить сервисы до ПРОМ-эксплуатации вместе с командой; * отвечать за надежность: отказоустойчивость, потребление ресурсов, восстановление после сбоев; * диагностировать и устранять инциденты, разбирать причины их возникновения; * развивать наблюдаемость: логи, метрики, алерты, дашборды; * управлять доступами и секретами в контуре продукта; * разрабатывать и вести эксплуатационную документацию и runbook-и; * учитывать требования информационной безопасности и корпоративные QG при выпуске изменений Требования * Linux (RHEL 7.X/8.X — предпочтительно): сетевой стек, права, диагностика производительности, Bash; * Docker/Podman, Kubernetes (Helm, манифесты, диагностика пода); * CI как код: Jenkins pipelines на Groovy, общие библиотеки и шаблонизация пайплайнов; GitOps-подход и Argo CD; * Ansible: собственные плейбуки и роли; * сборка и запуск TypeScript и Python-приложений: зависимости, артефакты, типичные причины падения сборки; * nginx: reverse proxy, TLS, балансировка, диагностика 5xx; * PostgreSQL на уровне сопровождения: резервное копирование и восстановление, репликация, разбор медленных запросов; * мониторинг: Zabbix и/или Prometheus, настройка алертинга; * сети: TCP/IP, DNS, маршрутизация, mTLS; * понимание ITSM-процессов: инцидент, изменение, проблема; работа через согласования и контрольные точки; * опыт эксплуатации сервисов в продакшене от 2–3 лет; * готовность работать в on-prem-контуре без публичных облаков и с внутренними инструментами. * Будет плюсом * качество и артефакты: Nexus OSS, SonarQube, AppSec-платформы; * потоки данных: Kafka; * опыт в финтехе или другом контуре с жёсткими требованиями ИБ. Условия * работа в офисе * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Espoo Workplace: Hybrid PRODUCTION TEAM LEAD, SATELLITE ELECTRONICS SUBSYSTEMS Role highlights - Title: Production Team Lead, Satellite Subsystems (Electronics, Battery and Software Integration) - Department: Global Manufacturing Organisation - Location: Espoo, Finland - Reports to: Head of Subassemblies - Employment type: Permanent - Workplace model: On-site - Employment is subject to applicable security screening (including SUPO, where required) LEAD TODAY'S PRODUCTION. ENGINEER TOMORROW'S SYSTEMS. Before launch, ICEYE satellites rely on complex electronics, battery packs, and flight software. Today, these critical workflows depend heavily on manual assembly and verification. To support our rapid growth, we are seeking a Production Team Lead to modernize, scale, and own this end-to-end area, enabling exponential output while ensuring quality, cost efficiency, and operational simplicity. Leading teams across electronics, batteries, software, and testing, you will utilize dedicated capital resources to build an automated, data-driven production environment. WHAT YOU WILL OWN - Daily Operations: Lead manufacturing across electronics assembly, battery fabrication, software loading, integration, and functional testing while upholding safety, quality, cost, and throughput standards. - Production Architecture: Standardize workflows, takt times, line layouts, and kitting to deliver predictable, repeatable cycle times. - New Product Introduction (NPI): Scale new subsystem designs and next-gen satellite platforms from R&D to high-rate production, ensuring tooling, test, and workforce readiness. - Automation & Digital Manufacturing: Champion automated functional testing, scripted software deployment, unit-level data logging, and full electronic revision traceability. - Hardware-Software Integration: Optimize workflows spanning assembly, functional testing, firmware flashing, and systemic validation to ensure flawless alignment between software releases and hardware revisions. - DFM/DFT & Continuous Improvement: Participate in design reviews, translating floor-level yield and test metrics into continuous design and manufacturing enhancements. - Risk & Quality Controls: Embed best practices for battery handling, state-of-charge management, ESD protection, FOD control, and cleanroom disciplines directly into daily operations. - Leadership & Development: Recruit, train, certify (J-STD-001, IPC-A-610, ESD), and mentor a team of 10–15 technicians using visual management and Lean frameworks. WHAT YOU BRING Required Qualifications - 5+ years of assembly and testing experience in electronics, battery systems, avionics, rf within high-reliability sectors (aerospace, defense, EV, or robotics). - Proven leadership experience managing and coaching 10–15 technicians in fast-paced production environments. - Strong practical electronics expertise: interpreting schematics/drawings, operating diagnostic equipment, and isolating root causes. - Software integration experience: firmware flashing, version control, configuration management, automated log parsing, and test script execution (e.g., Python). - Foundational knowledge of battery safety and handling protocols, including state-of-charge management. - Applied mastery of Lean manufacturing principles (standardized work, takt time, root-cause analysis) with a track record of driving operational improvements. - Strong analytical problem-solving skills and professional English communication abilities. Technical Domains Managed You will lead and collaborate with experts across PCB design, embedded software, battery electrochemistry, RF testing, and environmental testing. Specialized background in any of these areas is a plus. Preferred Qualifications High-rate manufacturing background; experience implementing automated test systems or software deployment pipelines; active J-STD-001/IPC-A-610 Trainer certifications; familiarity with ECSS/NASA standards; experience with MES, ERP, or PLM platforms. THE BAR We are looking for a forward-thinking leader who blends operational rigor with a systems-engineering mindset—proactively eliminating manual bottlenecks, addressing root-cause defects, and continuously optimizing manufacturing efficiency. WHO THIS IS NOT FOR - Professionals seeking to administer legacy processes rather than design, build, and scale new operational frameworks. - Candidates who prefer strict boundaries between hardware and software engineering domains. - Desk-bound managers—this role requires an active, engaging daily presence on the cleanroom production floor. WHY ICEYE ICEYE designs, manufactures, and operates the world's largest constellation of Synthetic Aperture Radar (SAR) satellites. We build our satellites in-house and are actively scaling manufacturing capabilities for next-generation constellations. - Direct Impact: Drive production for core satellite subsystems that directly govern our constellation's global growth rate. - Cross-Functional Collaboration: Work side by side with hardware design, software engineering, and satellite integration teams co-located in our Espoo facility. - Capital Support: Access dedicated budget and capital backing to implement state-of-the-art automated test setups and manufacturing technology. PRACTICALITIES AND HOW TO APPLY - Location: Espoo, Finland (on-site production floor role with occasional site travel). - Language & Relocation: International English-speaking workplace; relocation support provided where applicable. Please submit your CV along with a one-page summary highlighting a major engineering or production challenge you led and solved—detailing the baseline, strategic actions, and measurable results achieved.

• Помощь в администрировании NGFW: участие в настройке политик межсетевого экранирования и микросегментации. • Мониторинг сетевых аномалий и первичный анализ трафика уровня L7.

Location: Москва Workplace: В офисе Обязанности автоматизировать текущие процессы работы команды: ​​​​​​​писать скрипты​​​​​​​ для сбора и обработки данных, работать с написанием промтов для ИИ настраивать интеграцию рабочих систем для ускорения процесса передачи информации создавать и обновлять дашборды на основе имеющихся данных собирать данные и готовить презентации в PowerPoint Требования владение основными языками программирования (Python, JavaScript и др.) и фреймворком - будет преимуществом готовность к работе с большими объемами информации и базой данных знание компьютерных программ: уверенный пользователь MS Office (Word, Excel, Power Point, Outlook) умение работать с ИИ, и грамотно формулировать промты умение четко и понятно излагать свою позицию, внимание к деталям Условия стабильный доход: фиксированный оклад гибкий график работы — 30/40 часов в неделю, офисный формат работы развитие в команде профессионалов: опытный наставник на период стажировки, готовый делиться опытом мобильную связь за счет компании прием врачей общей практики в собственном медицинском центре, массаж, спортзал в офисе подписку на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети собственный корпоративный университет: доступ к онлайн-курсам, вебинарам и онлайн-библиотеке

What you will do Design and develop core SDK and framework modules for game logic and backend services. Gather requirements and define APIs, protocols, and service-to-service interaction contracts.

Location: Belgrade, Remote Workplace: remote About tabby Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the Role As a Risk Analyst at Tabby, you will play a key role in analysing risk performance and contributing to the risk strategy across our products. You will work with large datasets to identify trends, monitor portfolio performance, and support data-driven decisions that balance growth with risk discipline. This role is highly cross-functional, requiring close collaboration with data, product and engineering teams to ensure healthy portfolio performance. What You’ll Do Analyse portfolio performance, customer behavior, and key risk indicators across products and segments. Utilize big data analytics to identify risk patterns and insights. Develop reports and dashboards to monitor risk metrics and performance and present insights to leadership Optimize risk strategies and policies to support sustainable growth Contribute to the design and rollout of new products and policies Collaborate with cross-functional teams to support launches in new markets and verticals Continuously seek to improve risk management processes and strategies through innovation and adopting best practices. What We’re Looking For Bachelor’s or Master’s degree in Finance, Economics, Statistics, or a related field. 2–4 years of experience in risk management, fraud analytics, or a related data-driven role preferably in the Fintech sector or related financial services. Strong analytical skills and experience with SQL, Python or similar tools Understanding of consumer lending, digital wallets, transfers and fintech risk models Ability to work independently and in a fast-paced, high-growth environment Excellent communication and interpersonal skills, with the ability to convey complex information clearly and concisely. Job Benefits Locations We hire candidates based within four hours of Dubai time , with remote work available in eligible locations. Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain. What you can expect Flexible working hours, coordinated with your team and the needs of your role. Autonomy and responsibility from day one. Opportunities to grow through the quality and impact of your work. AI Allowance to your preferred tools Participation in our employee stock option program. We’re committed to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals. If this sounds like the right opportunity for you, we’d love to hear from you.

Location: Москва Центр Робототехники Сбера. Команда 250+ человек, занимаемся разработкой антропоморфных роботов и Physical AI полного цикла: от механики и электроники до VLA/WAM/VLM-моделей и продуктовых решений. Наша цель — создать универсальных автономных роботов для индустрии и быта. Регулярно публикуемся на ICRA/IROS, победители различных робототехнических челленджей. **О роли:** Incident & Fleet Manager в составе Проектного офиса. Owner двух связанных объектов: процесса разбора инцидентов роботов и флота роботов как актива — что стоит в каждом роботе, в каком он состоянии, на какой работе и сколько роботов понадобится Центру завтра. Типовая ситуация: робот упал на сборе данных. Вы выясняете почему — механика, электроника, прошивка, бортовой софт, модель, действия оператора или их сочетание. Расследуете причину, назначаете исправление владельцам и доводите до подтверждения, что причина устранена и падение не повторяется. Вторая половина роли — флот: два десятка антропоморфных роботов нескольких ревизий, дальше — масштабирование с ODM-партнёром. Вы ведёте реестр конфигураций (какое железо и какой софт стоят на каждом роботе), учёт износа (сколько и как робот ходил, как им управляли), распределяете роботов по работам проектных команд и выступаете заказчиком для команды производства: сколько роботов, в какой конфигурации и к какому сроку нужно Центру. Обязанности * выстроить регламент управления инцидентами: классификация по критичности, SLA реакции, маршрутизация по владельцам, критерий закрытия «причина устранена и подтверждена», а не «тикет закрыт» * расследовать значимые инциденты: собрать логи, телеметрию, видео, показания операторов; провести RCA (5 Why, Ishikawa, 8D, fault tree); оформить корректирующие действия с владельцем и сроком в Jira и проверить их эффект на флоте * готовить post-mortem по критичным инцидентам и вести базу типовых отказов: что ломается, почему, как устраняется * вести метрики надёжности флота: наработка между падениями (MTBF), время восстановления робота (MTTR), доступность флота, доля инцидентов с установленной причиной, доля повторных инцидентов * поддерживать реестр флота в актуальном состоянии на 100%: актуальная информация на вопрос «что стоит на роботе N и что на нём менялось» * вести учёт наработки и износа: часы работы, падения, режимы управления; прогноз замены узлов, триггеры планового ТО * вести план загрузки флота: какой робот, под какую работу, на какой срок; проводить weekly fleet review с проектными командами * формировать заказ на производство на 3–6 месяцев вперёд: количество, конфигурации, сроки; критерии приёмки новых роботов во флот * формулировать требования к FMS и дашбордам флота как основной заказчик системы * готовить weekly fleet & incident report: доступность флота, инциденты, риски, эскалации. Требования * 4+ года в incident / problem management, reliability engineering, эксплуатации или техническом PM сложной техники: робототехника, дроны, автомобильная, авиационная, промышленное оборудование. * технический бэкграунд: инженерное образование (мехатроника, электроника, приборостроение, робототехника или близкое); понимание устройства робота механики до ПО на уровне, достаточном для разбора отказа вместе с инженерами разных дисциплин * практика RCA: 5 Why, Ishikawa, 8D, FTA / FMEA — и опыт доведения корректирующих действий до подтверждённого эффекта * опыт configuration / asset management парка техники: реестр, версии HW/SW, трейсабилити, история изменений * самостоятельная работа с данными: логи, телеметрия, SQL или Python на уровне анализа * опыт планирования ресурса между несколькими командами-потребителями * Jira, риск-менеджмент * английский B1+ (документация, логи, datasheets). **Будет плюсом:** * ITIL 4 (Incident / Problem / Change Management), сертификат по надёжности (ASQ CRE или аналог) * опыт эксплуатации флота роботов / AMR / AGV / дронов или ТОиР (MRO) в авиации * Predictive maintenance, оценка ресурса узлов * опыт с FMS / CMMS / CMDB / PLM-системами * ROS / ROS2, rosbag, Grafana / Metabase * опыт роли внутреннего заказчика для производства (S&OP, прогноз потребности) * Theory of Constraints / Thinking Processes — Голдратт (дерево текущей реальности — готовый инструмент разбора инцидентов). Условия * комфортный современный офис возле МЦК ЗИЛ * ежегодный пересмотр зарплаты и годовую премию * уникальную систему обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 от ключевой ставки ЦБ * подписка "Прайм" с возможностью использования на трех близких * вознаграждение за рекомендацию друзей в команду Сбера.

▫️Мониторинг работоспособности платформы в вечернее и ночное время. ▫️Ответы на вопросы в саппорт-чате: разъяснение, как работает система, и помощь, если что-то непонятно.

-Руководить кросс-функциональной командой из 9 человек: backend-, web-, iOS- и Android-разработчиков, QA-инженеров и системного аналитика. -Организовывать процесс разработки и поставки: планировать работу, управлять backlog, отслеживать сроки, качество и производственные метрики команды.