Вакансии

Наша команда отвечает за ключевые процессы с кредитными картами в Сбербанк Онлайн (мобильное приложение и веб-версия), а также за интеграции с колл-центром, отделениями и внутренними системами: — оформление, выдача и перевыпуск карт — закрытие и реструктуризация — управление лимитами, ставками, акциями, создание и запуск новых продуктов — работа с асинхронными процессами Мы не просто тестируем - мы обеспечиваем стабильность, безопасность и качество решений, которые напрямую влияют на репутацию банка и доверие клиентов. Обязанности: — анализ требований, декомпозиция задач и проектирование тестовой стратегии и кейсов — проведение функционального, интеграционного и регрессионного тестирования - как ручного, так и автоматизированного (по мере развития покрытия) — локализация, документирование и сопровождение дефектов до закрытия — оценка трудозатрат и выявление рисков на этапе планирования релиза — разработка и поддержка автотестов на Java: от UI/API-сценариев до интеграции в CI — совместная работа над улучшением QA-практик: внедрение метрик качества, оптимизация отчётности, актуализация тестовой документации. Требования: — от 3 лет опыта в тестировании ПО — высшее образование — уверенно тестируете Full-Stack: Frontend (iOS/Android/web): особенности платформ, кросс-браузерность, UX-валидация; — Backend & API: REST/gRPC, асинхронные процессы (очереди, события), интеграции через шины; — интеграционные процессы: маппинг данных, идемпотентность, обработка ошибок, E2E сценарии — имеете опыт в написании АТ (Java): Java Core (базовый знания); — API-тесты (RestAssured, Jackson); — UI-e2e и smoke-сценарии (Selenium); — Cucumber (BDD) Будет плюсом: — опыт в мобильной автоматизации (Appium) — владеете инструментами отладки и анализа: Postman / Insomnia / Charles / DevTools; — SQL (составление сложных запросов, анализ логов в БД); — JSON/XML/XSD — понимает структуры, валидацию, трансформации — знание жизненного цикла ПО, умеение проектировать тестовую модель «с нуля» и выстраивать стратегию покрытия (функциональное, регрессионное) — опыт работы в Agile (Scrum/Kanban), свободно используете Jira, Confluence, Git — понимаете принципы CI/CD и роль QA в pipeline (Jenkins, GitLab CI - даже на уровне «понимаю, зачем и как это влияет на меня»). — опыт участия в анализе багов в продакшене (PROM) - и не просто фиксили, а искали root cause и предлагали превентивные меры (например, улучшение мониторинга, расширение покрытия, изменение процессов) — опыт работы в банковской сфере или финтехе - особенно с учётом регуляторных требований — написание или улучшение внутренних QA-инструментов: генераторы тестовых данных, парсеры логов, утилиты для локализации дефектов; — навыки работы с генеративными AI-моделями — опыт создания AI-агентов и использования их в работе. Условия: — гибридный формат по адресу Кутузовский проспект 32к1 (на исп. срок - офис) — ежегодный пересмотр зарплаты и годовая премия — расширенный ДМС и льготное страхование для семьи — уникальная система обучения Сбера для профессионального и карьерного развития — выгодная ипотека для сотрудников — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера — корпоративная пенсионная программа.

Location: Toronto, Ontario, Canada 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 At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. IN THIS ROLE YOU WILL Master the Sentry Ecosystem & Support Elite Developers - Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. - Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. - Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. - Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes. Engineer Agentic Operations (The Scaling Engine) - Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions. - Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely. - Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously. - The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine." YOU’LL LOVE THIS JOB IF - You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort. - You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon - You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next. - You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem. QUALIFICATIONS - 5–8+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems. - Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories. - Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database. - AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention. - Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI. BONUS QUALIFICATIONS - Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries. - Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $125,000 to $150,000. 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/.

Location: Oklahoma, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is building next generation, high density AI infrastructure, and we are looking for a Data Center Operations Manager - Critical Infrastructure to own the performance, reliability, and operational excellence of our data center facilities. This is a critical facilities leadership role , responsible for power, cooling, and environmental systems that support GPU driven workloads. You will ensure our sites operate with maximum uptime, efficiency, and safety , while also supporting capacity expansion and infrastructure improvements as we scale. Unlike a pure construction role, this position is focused on steady-state operations, incident management, and long term facility performance , with involvement in commissioning and new site readiness where needed. Responsibilities: Critical Facilities Operations Own day to day operations of electrical and mechanical systems including UPS, generators, switchgear, PDUs, chillers, CRAH/CRAC units, and cooling infrastructure Ensure high availability and uptime of all critical systems supporting data center operations Lead incident response for facility related events, including root cause analysis and corrective actions Monitor system performance via BMS/DCIM and drive improvements in reliability and efficiency Maintenance & Vendor Management Oversee preventive and corrective maintenance programs for all facility systems Manage and hold accountable third party vendors and service providers Ensure all maintenance activities follow SOPs, EOPs, and MOPs Drive standardization and continuous improvement of operational procedures Capacity, Efficiency & Optimization Partner with engineering and operations teams on capacity planning and infrastructure scaling Monitor and improve PUE and overall energy efficiency Identify and implement reliability and sustainability improvements across facilities Support high density environments, including air and liquid cooling strategies aligned with modern AI workloads Compliance, Safety & Risk Management Ensure compliance with local regulations, safety standards, and industry best practices Maintain strong adherence to HSE (Health, Safety, Environmental) standards Lead audits, inspections, and documentation for operational readiness Act as the primary point of contact for facility related regulatory interactions Commissioning & Site Readiness (Light but Important) Support commissioning, testing, and handover of new or expanded infrastructure Participate in FAT/SAT and system validation for critical equipment Ensure smooth transition from construction to steady state operations Validate that systems are operationally ready with proper documentation and procedures Cross-Functional Collaboration Partner closely with: Data Center Operations teams Infrastructure & deployment engineers Network and hardware teams Act as the bridge between facilities and IT infrastructure , ensuring both layers operate seamlessly (a key distinction in Nebius environments) Support broader operational goals around scalability, reliability, and standardization Requirements: 7–10+ years of experience in data center or mission critical facilities operations Strong hands on knowledge of critical infrastructure systems : Electrical distribution (UPS, generators, switchgear) Cooling systems (chillers, HVAC, CRAH/CRAC, liquid cooling exposure preferred) Experience operating in high availability environments with strict uptime requirements Proven experience managing vendors, maintenance programs, and incident response Familiarity with BMS/DCIM systems and operational monitoring Experience developing and enforcing SOPs, EOPs, and MOPs Strong understanding of safety, compliance, and regulatory requirements Preferred: Experience in hyperscale, colocation, or AI/GPU driven data centers Exposure to high-density environments and advanced cooling solutions Experience supporting new site builds, commissioning, or expansions Basic understanding of IT infrastructure (rack, power distribution, hardware) to effectively partner with engineering teams Key employee benefits: Health insurance: 100% company-paid medical, dental and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave : 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries, ranging from $140,000-$170,000 based on your experience Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals Monitor resource usage, bandwidth consumption, and infrastructure cost Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: 5+ years of experience building product critical backend services Strong Go and Python Experience Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) Understanding of Information Retrieval flows and pipelines Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is looking for a Senior Product Manager to own Commercial Agreements and Pricing Mechanics within the Billing Platform team. Our billing platform is how Nebius turns AI infrastructure into a business. As the company grows, Sales and GTM teams need increasingly sophisticated commercial constructs: commitments, credits, custom terms, multi-tenant setups. Your mission is to make sure every deal the business needs is supported by the billing platform out of the box, with as few unsupported custom deals as possible, and to build pricing mechanics that help maximize revenue. This is a role at the intersection of product, commerce, and engineering. You will translate commercial intent into billing capabilities: well-defined product mechanics with clear rules, data models, and self-service potential. Responsibilities Own the vision, roadmap, and backlog for commercial agreements and pricing mechanics in the Nebius billing platform Design and ship billing support for commercial constructs Develop pricing mechanics that drive revenue growth, such as dynamic pricing models Systematically reduce the number of deals billing cannot support out of the box: identify recurring deal patterns and turn them into productized capabilities Partner closely with Sales, GTM, Finance, Legal, and Operations on deal structures and contract mechanics; work with the billing engineering team on design and delivery Own discovery, requirements, delivery, and success metrics for your domain, and keep documentation and internal enablement up to date Who we are looking for 5+ years of product management experience, including hands-on ownership of billing, monetization, or pricing products Solid technical grounding: you are comfortable discussing APIs, data models, and billing pipelines with engineers and can reason about system design trade-offs, even if you do not write production code Experience operating in an enterprise B2B environment with many stakeholders: sales, finance, legal, engineering Strong analytical skills: you model the revenue and margin impact of pricing and discount mechanics before committing to them Nice to have FinOps or cloud billing domain expertise: commitment discounts, usage-based pricing, FOCUS or similar billing data standards Experience supporting enterprise deal desks or working directly with Sales on non-standard deals Background at a cloud provider (hyperscaler, GPU cloud, or adjacent infrastructure business) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — разработка высоконагруженных, распределенных сервисов на Golang. Требования: — уверенные знания языка программирования Go от 5 лет; — понимание принципов оптимизации ввода-вывода (IOPS, latency, throughput); — опыт работы с блочными устройствами, SCSI, NVMe, iSCSI, NFS, SMB; — опыт работы с реляционными базами данных (преимущественно PostgreSQL); — опыт разработки Web-сервисов (REST, gRPC); — знание сетевых протоколов (TCP/UDP); — знание распределённых систем, алгоритмов репликации и согласованности данных; — наличие рекомендаций с предыдущих мест работы будет плюсом. Условия: — работа в команде экспертов; — широкий технологический стек, сотни проектов; — гибкий график работы; — льготы и меры господдержки, предусмотренные для IT-компаний (аккредитованы Минцифры); — возможность разрабатывать IT-решения для разных отраслей, пробовать новые технологии; — процессы удаленной работы и просторные офисы с зонами коворкинга; — возможность профессионального роста: тимлид, архитектор, full-stack разработчик; — система наставничества, сертификация, участие в конференциях, изучение английского языка; — обмен опытом, митапы, хакатоны, доклады по развитию hard и soft skills; — 50+ клубов по интересам и профессиональных сообществ; — уютный мерч; — полный соцпакет и официальная зарплата; — корпоративная база знаний и социальная сеть для сотрудников; — гибкая система бонусов: ДМС, компенсация обучения и занятий спортом.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Писать надёжный, безопасный и масштабируемый код для систем авторизации и предотвращения мошенничества Lithic в реальном времени с минимальным техническим долгом — Разрабатывать функции для клиентов, такие как улучшения правил, контроль скорости, 3DS-процессы, инструменты борьбы с мошенничеством и мониторинг транзакций — Вести проекты от планирования до запуска — Повышать надёжность систем в зоне ответственности команды и участвовать в ротации дежурств — Руководить улучшением систем и процессов внутри команды Требования: — Опыт разработки продакшен-бэкенд систем не менее 4 лет — Опыт full stack будет плюсом — Опыт или желание изучать Rust — Способность понимать систему Lithic, написанную на Python и Java — Интерес и опыт использования AI-инструментов для повышения продуктивности — Умение работать с неоднозначностью, согласовывать разные точки зрения и находить практические решения — Опыт или интерес к платежам, финтеху, предотвращению мошенничества — Умение проектировать системы с нуля и вести процесс разработки продукта от начала до конца — Сильные навыки письменного общения и опыт работы в удалённой асинхронной команде, распределённой по разным часовым поясам Условия: — Удалённая работа с возможностью находиться в США, Канаде (Онтарио или Британская Колумбия), Нидерландах, Польше или Чехии — Визовая поддержка не предоставляется — Годовой оклад от 160 000 до 200 000 долларов США плюс акции, точный уровень и зарплата будут определены на интервью Преимущества для штатных сотрудников в США: — Неограниченный оплачиваемый отпуск — 12 недель полностью оплачиваемого отпуска по уходу за ребёнком — 4 недели оплачиваемого саббатикала после 5 лет работы — Возможность работать из любой точки мира 4 недели в году — 3% кэшбэк на покупки по карте с бесплатным аккаунтом Privacy.com — Медицинская, стоматологическая и офтальмологическая страховка — Взносы в HSA и 401(k) с матчингом — Добровольное страхование жизни и краткосрочная/долгосрочная нетрудоспособность — Для сотрудников в Нью-Йорке: работа из офиса в SoHo три дня в неделю с гибким выбором третьего дня, льготы на проезд и бесплатный обед по вторникам и четвергам

Задачи: — Работа с NLP и AI-проектами, запуск AI-проектов в продакшн и построение архитектуры вокруг сторонних LLM-решений. — Обучение нейросетевых моделей на GPU-кластере. Требования: — Большой опыт разработки на Python с использованием Pandas, NumPy, Scikit-learn. — Опыт работы с LangChain, vLLM. — Опыт работы с PyTorch, Hugging Face Transformers. — Глубокое понимание машинного обучения, глубокого обучения и NLP. — Опыт запуска AI-проектов в продакшн и построения архитектуры вокруг сторонних LLM-решений. — Опыт обучения нейросетевых моделей на GPU-кластере. — Знание SQL. — Владение Git. — Высшее техническое образование в области Computer Science, прикладной математики, AI/ML или смежных областях. Условия: — Работа в команде экспертов. — Широкий технологический стек, сотни проектов. — Гибкий график работы. — Льготы и меры господдержки, предусмотренные для IT-компаний (аккредитованы Минцифры). — Возможность разрабатывать IT-решения для разных отраслей и пробовать новые технологии. — Возможность работать удалённо с доступом к просторным офисам с зонами коворкинга. — Возможность профессионального роста: стать тимлидом, архитектором, full-stack разработчиком. — Развитая система наставничества, сертификация за счёт компании, участие в конференциях, изучение английского языка. — Активный обмен опытом, митапы, хакатоны, доклады по развитию hard и soft skills. — 50+ клубов по интересам и профессиональных сообществ. — Уютный мерч. — Полный соцпакет и официальная "белая" зарплата. — Корпоративная база знаний и социальная сеть для сотрудников. — Гибкий ДМС с возможностью подключения родственников.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Builder Community Manager to build and activate local developer ecosystems across APJ. This is a high-ownership, execution-heavy role - you’ll be the face of Nebius in your region, working directly with developers, founders, and partners to grow a strong, engaged builder community. For this role, we are specifically hiring for the APJ region , with a preference for candidates based in Singapore. You will report to the Head of Builder Community and work closely with regional community managers, digital marketing, developer relations, developer advocates, product marketing, and broader ecosystem teams. Your responsibilities will include: Local Community Activation Build and grow a high-quality local developer community (AI builders, engineers, technical founders) Identify key hubs, communities, and influential builders in your region Establish Nebius as a trusted, high-signal presence locally Be the Local Face of Nebius and Represent Nebius at events, meetups, and in the ecosystem Events & Programs (Execution-first) Plan and execute meetups, workshops, hackathons, and community events Partner with local ecosystems (startups, VCs, universities, dev groups) Ensure events are builder-first, practical, and hands-on - not just talks Builder Engagement Build direct relationships with top developers and emerging builders Engage communities online (Discord, Slack, Telegram, etc.) Turn participants into repeat contributors and advocates Build Repeatable Programs Turn one-off events into scalable programs (e.g., ambassador programs, recurring meetups, builder cohorts) Develop playbooks that can be reused across regions Continuously experiment and iterate on formats Feedback Loop → Product & GTM Bring insights from the community back to product, marketing, and leadership Identify trends, needs, and opportunities from developers on the ground Help shape how Nebius engages developers globally We expect you to have: 5 - 7+ years in community, developer marketing, events, or ecosystem roles Strong understanding of developer audiences (AI/ML, infra, or adjacent preferred) Proven experience running ambassador and/or grassroots community programs Highly execution-driven: you can go from idea → event → results quickly Strong local network (or ability to build one fast) Excellent communication and relationship-building skills Comfortable being the face of a brand in your region Able to work in a globally distributed team, with flexibility for meetings across US, Europe, and APAC time zones when needed Nice to Have Technical background or strong familiarity with AI / developer tooling Experience working with startups or developer ecosystems Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Toronto, Canada We’re partnering with a growing technology company focused on making roads safer through AI-powered video telematics. Its platform combines edge AI, dash cameras, real-time alerts, video analytics, and driver coaching to help commercial fleets improve safety, reduce risk, and operate more efficiently. The company partners with telematics service providers, OEMs, and other mobility businesses across global markets, providing flexible, hardware-agnostic technology that can be integrated into existing fleet solutions. As the business continues to expand, they’re looking for a Partner Success & Sales Enablement Specialist to strengthen partner relationships, support commercial initiatives, and help partners successfully bring the technology to market. Requirements Job Description The Partner Success and Sales Enablement Specialist plays a key role in ensuring our partners are equipped with the knowledge, resources, and support they need to successfully sell, deploy, and support our solutions. This role combines partner onboarding, sales enablement, training, content creation, and cross-functional project coordination. The ideal candidate is an excellent communicator who enjoys learning new technologies, simplifying complex concepts, and creating engaging content that enables partner success. Requirements ‍ Desired Skills: Experience: 1-3 years in video telematics/telematics industry. Previous experience in telematics, video telematics, fleet technology, or a related industry is preferred Excellent verbal and written communication skills. Strong presentation and facilitation skills. Highly organized with strong attention to detail. Ability to quickly learn and explain technical concepts. Experience creating presentations and customer-facing content. Comfortable managing multiple priorities in a fast-paced environment. Experience in customer success, sales enablement, training, or partner management is preferred. ‍ Responsibilities: 1. Partner Enablement Deliver onboarding and training sessions for new and existing partners. Develop and maintain onboarding guides, training materials, and partner documentation. Support partners throughout their onboarding and enablement journey. Act as a trusted resource for partner questions and product guidance. ‍ 2. Sales Enablement Create and maintain sales presentations, battlecards, product guides, and demo materials. Develop training content for internal teams and partners. Collaborate with Product and Marketing to ensure enablement materials remain current. Assist in communicating new product features and updates. 3. Cross-Functional Collaboration Work closely with Sales, Product, Marketing, Support, and Engineering teams. Coordinate partner enablement activities and product launches. Gather partner feedback and communicate insights internally. Track enablement initiatives and follow up on action items. 4. Product Knowledge Develop a strong understanding of our platform and solutions. Translate technical capabilities into clear customer value and business outcomes. Stay informed on new product releases and competitive offerings. Benefits Benefits We are growing fast, which means you will have a key role in shaping our future. We are profitable – which is a really big deal in these times! Energetic and positive atmosphere where talented people are working together with a single-minded focus on solving customer problems. Opportunity to work on cutting-edge solutions that incorporate the latest innovations in computer vision, AI, Android, iOS and full stack web development. A company where employees come before customers – we are growing fast having grown headcount by 50% in the last one year Stock options and great benefits (including health insurance for you and your dependents).

Location: New York City Office Workplace: OnSite COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We’re looking for a high-agency Senior Backend Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You’ll design and build agentic workflows that power complex healthcare processes to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. This role involves creating data pipelines, evaluation harnesses, and scalable production-grade agentic systems. You’ll be responsible for researching the right tools and models, ensuring we always use the best-fit technology for each workflow.. As part of our ML team, you’ll work hand-in-hand with researchers to translate new techniques and insights into production-ready systems. The ideal candidate has full-stack engineering experience, hands-on expertise with LLM APIs, and a proven track record of deploying AI systems into production. You’ll work across the stack - from data collection to training pipelines to AI agent orchestration to frontend integration - bringing cutting-edge AI solutions to life in real-world healthcare environments. RESPONSIBILITIES As a Senior Backend Engineer on the ML team at Tennr, you’ll bridge the gap between cutting-edge ML research and real-world product delivery. You’ll help build agentic systems that use LLMs, and vision models, and structured automation to solve hairy infrastructure, workflow, and UX challenges in U.S. healthcare. - Ship full-stack AI systems end-to-end - Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows. - Go from ideation to code within hours; iterate quickly on experiments and data. - Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and product QUALIFICATIONS - Proficiency in full-stack development, with a strong understanding of system design, backend engineering, and observability infrastructure. - A track record of working through the full lifecycle of building, testing, deploying, scaling, and monitoring LLM-centered software architectures. - Excellent communication and collaboration skills: aligning on interfaces, navigating tradeoffs, and driving cross-team execution. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Chelsea office 4 days/week - Free lunch! Plus a pantry full of snacks. BENEFITS - Beautiful new office at 345 Hudson Street - Unlimited PTO - 100% paid employee health benefit options - Employer-funded 401(k) match - Competitive parental leave

Location: Birmingham, Alabama, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale. Your responsibilities will include: Lead end-to-end deployment of GB-series racks within data center environments Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers Troubleshoot complex hardware, firmware, Linux OS, and networking issues Execute structured testing and validation procedures during deployment Develop and maintain basic Linux-based hardware health-check and diagnostic scripts Coordinate on-site hardware repairs, part replacements, and vendor escalations Drive root cause analysis and ensure corrective actions are implemented Manage and prioritize deployment timelines across multiple concurrent rollouts Provide technical leadership and guidance to on-site engineers and technicians Partner with networking and infrastructure teams to ensure seamless integration Document deployment processes, validation standards, and operational runbooks What we expect you to have: Strong hands-on experience deploying and operating data center infrastructure Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms Experience working with high-density rack deployments (GB-series or similar) Solid Linux experience, including troubleshooting and scripting Ability to diagnose issues across hardware, OS, firmware, and network layers Experience coordinating field repairs and working directly with hardware vendors Proven experience leading technical teams or overseeing field operations High ownership mindset and ability to operate in production-critical environments Clear communication skills and ability to collaborate across distributed teams It will be an added bonus if you have: Experience deploying AI or HPC clusters at scale Familiarity with automated provisioning or infrastructure lifecycle systems Background in hardware qualification, burn-in testing, or factory validation Experience supporting rapid infrastructure expansion Exposure to ARM-based or heterogeneous compute environments Working conditions: Collaboration with globally distributed engineering and operations teams Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families 401(k) plan: up to 4% company match with immediate vesting Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers Remote work reimbursement: up to $85/month for mobile and internet Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation We offer competitive salaries, ranging from $112k- $140k base + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation ofAI infrastructure. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $112,000 — $140,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — развитие и тюнинг моделей ранжирования и рекомендаций — разработка новых ML-решений и feature engineering — прототипирование и внедрение моделей в production на Python — работа с обучающими выборками и анализ результатов A/B-тестов — улучшение продуктовых метрик Требования: — опыт внедрения ML-моделей в production — знание основных методов и алгоритмов ML — понимание нейросетевых моделей для обработки текста — уверенный Python (NumPy, SciPy, PyTorch, scikit-learn) — знание алгоритмов и структур данных — опыт с A/B-тестами Условия: — работа в команде экспертов — широкий технологический стек, сотни проектов — гибкий график работы — льготы и меры господдержки, предусмотренные для IT-компаний (аккредитованы Минцифры) — возможность разрабатывать IT-решения для разных отраслей, пробовать новые технологии — процессы удаленной работы и просторные офисы с зонами коворкинга — возможность профессионального роста: стать тимлидом, архитектором, разработчиком full-stack — развитая система наставничества, сертификация за счёт компании, участие в конференциях, изучение английского языка — активный обмен опытом, митапы, хакатоны, доклады по развитию hard и soft skills — 50+ клубов по интересам и профессиональных сообществ внутри компании — уютный мерч — полный соцпакет и «белая» зарплата — корпоративная база знаний и социальная сеть для общения с 1500+ сотрудниками

Задачи: — Руководить командой NLP-инженеров и backend-разработчиков. — Планировать и приоритизировать задачи, проводить ревью и контролировать качество решений. — Определять архитектуру и технологический стек LLM/NLP-разработки. — Вести ключевой проект направления — банковскую платформу парсинга документов. — Формулировать технические требования и декомпозировать задачи. — Вести технический бэклог и приоритизировать запросы от нескольких заказчиков. — Контролировать реализацию решений на всех этапах разработки. — Взаимодействовать с бизнес-заказчиками и смежными IT-командами. — Развивать экспертизу команды, организовывать обмен знаниями и формировать лучшие практики. — Заниматься наставничеством и профессиональным развитием сотрудников. — Участвовать в выборе, интеграции и оптимизации ML-, OCR-, LLM- и VLM-моделей. — Проектировать масштабируемые решения для промышленной эксплуатации моделей. Требования: — От пяти лет коммерческого опыта в NLP, LLM или backend-разработке на Python. — Не менее трёх лет опыта в роли Tech Lead. — Практический опыт управления инженерной командой и технической частью продукта. — Глубокое понимание ML-алгоритмов, OCR-моделей, архитектуры LLM и VLM-моделей. — Уверенное владение Python. — Практический опыт работы с PyTorch, Hugging Face, sentence-transformers и FastAPI. — Опыт интеграции и оптимизации моделей Qwen, DeepSeek, Llama, Mistral или аналогичных. — Понимание принципов оптимизации inference. — Знание подходов к масштабированию, кэшированию и распределённому inference. — Опыт взаимодействия с бизнес-заказчиками и смежными IT-командами. — Умение формировать и вести технический бэклог. — Навыки сбора, декомпозиции и приоритизации требований от нескольких заказчиков. Будет плюсом: — Опыт интеграции LLM с корпоративными системами и BI-платформами. — Знание инструментов мониторинга LLM по показателям latency, quality и cost. — Опыт работы с библиотеками Docling и Kreuzberg. — Опыт проектирования и разработки высоконагруженных систем. Условия: — Полный рабочий день. — Можно удалённо. — Работа в команде экспертов. — Широкий технологический стек, сотни проектов. — Гибкий график работы. — Возможность разрабатывать IT-решения для разных отраслей, пробовать новые технологии. — Процессы удаленной работы и просторные офисы с зонами коворкинга. — Возможность профессионального роста: тимлид, архитектор, full-stack разработчик. — Система наставничества, сертификация, участие в конференциях, изучение английского. — Внутренние и внешние митапы, хакатоны, доклады по развитию hard и soft skills. — 50+ клубов по интересам и профессиональных сообществ. — Корпоративная база знаний и социальная сеть для сотрудников.

Location: Tbilisi, Georgia Workplace: remote At Infomediji, we are building the next generation of Spatial Media: a new way people experience video through interaction, multi-user presence, haptics, AI, and immersive storytelling. DeoVR is a leading immersive streaming platform serving millions of users globally. Content creators and partners are central to this ecosystem, and we are looking for a Product Manager to make their experience simpler, clearer, and more scalable. If you enjoy turning complex operational and technical workflows into products people genuinely enjoy using, this role is for you. The Role We are looking for a Product Manager - Content to own the product experience for our content partners across our streaming platform. This is a product and engineering-facing role. You will work closely with Content Partnerships, Marketing, Design, and Backend Engineering to identify friction, define the right solutions, and deliver high-impact improvements. What You Will Do Own and improve the end-to-end product experience for content partners, creators, and studios Map and optimise key partner workflows, including partner applications, onboarding, content submission, publishing, status tracking, and related processes Turn partner feedback, operational pain points, and business needs into clear product problems and prioritised solutions Independently implement selected solutions, such as internal tools, workflow automations, integrations, prototypes, or partner-facing improvements Work closely with Backend Engineering to define scalable systems, workflows, integrations, and self-service tools Partner with Content and Marketing to improve partner acquisition, activation, engagement, and retention Define product requirements, success metrics, user stories, and delivery priorities Lead product discovery and validate opportunities through qualitative feedback, data, and market research Own the roadmap for content-partner-facing initiatives from discovery through delivery and iteration What We Are Looking For Product Management experience in a digital product environment Hands-on development experience, including building production features, internal tools, automations, integrations, or technical prototypes Experience owning products or workflows connected to creators, partners, marketplaces, platforms, UGC, media, or SaaS Strong technical understanding and confidence working closely with Backend Engineering teams Ability to translate complex operational workflows into clear, scalable product solutions Experience with product discovery, roadmap ownership, prioritisation, and delivery High ownership, structured thinking, and comfort working in a fast-moving environment Strong product judgement around AI: you can distinguish a meaningful product advantage from a feature that only sounds innovative Fluency in English and Russian Bonus Points Experience with video, streaming, creator, affiliate, marketplace, or platform products Product engineering, backend, full-stack, or automation background Hiring Process HR screening (30 min) Team Interview (1 hour) Case Task (2-4 hours) CEO Interview (45 min) 💼 Explore our hiring process What We Offer Please note: fully remote contract role. B2B only - work as an independent contractor with your own legal entity. The chance to be part of a pioneering team in a rapidly evolving industry Direct impact on the future of immersive media Flexible working hours and remote-first culture A team that values initiative, clarity, and collaboration Access to all tools and tech you need Unlimited DeoVR Premium A work environment where ideas matter and people are treated with respect Stay Connected Join our Facebook community and follow updates as we advance interactive VR experiences through cutting-edge technology. Join us and step into a role where legal expertise meets innovation.

Описание вакансии Международный fintech. Задачи: — Разрабатывать и развивать сервисы на .NET для core-функционала финтех-продукта — Проектировать API/интеграции, работать с асинхронными процессами и брокером сообщений — Повышать надежность и observability существующих сервисов — Участвовать в code review, декомпозиции, оценке и технических решениях Требования: — .NET Core от 5-ти лет опыт проектирования и разработки сервисов — Опыт работы с реляционными бд (транзакции, оптимизации запросов) — Понимание принципов ООП, основных паттернов проектирования, SOLID, KISS, DRY — Опыт работы с брокерами сообщений и основными паттернами асинхронного взаимодействия, outbox, inbox, saga — English intermediate+ Будет плюсом: — DDD — Опыт с high-load/high-availability системами, построение resiliency — full stack ReactJS