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Location: Berlin, Germany Workplace: remote ABOUT YOU We are looking for a Technical Service Operations Lead (TSO Lead) who is operationally driven, collaborative, analytical, and a strong communicator to join our Global Technical Operations (GTO) team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to help coordinate incident response alongside cross-functional teams, identify trends and patterns in production issues, improve how we communicate with partners during incidents, and drive continuous improvement through post-incident reviews. Strong incident management experience, ITIL knowledge, and observability/monitoring expertise are essential, along with experience in technical operations, SRE, or NOC environments supporting high-availability platforms in the gaming industry. The ability to communicate clearly and effectively in English — both written and verbal — across technical and executive audiences will be key to your success in this role. If you’re passionate about driving operational excellence and platform reliability at scale and love ensuring the reliability and uptime of commerce and payment solutions that game developers and players depend on, we would love to hear from you!   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Serve as Incident Commander for major incidents — coordinating cross-functional response teams, driving investigation, making escalation decisions, and ensuring incidents are resolved within SLA targets. Own all incident communications: draft and send clear, timely updates to senior leadership, Customer Success, and partner/customer contacts throughout the incident lifecycle, and manage customer-facing status page updates (status.xsolla.com). Facilitate blameless Post-Incident Reviews (PIRs) for major incidents — leading root cause identification, assigning corrective actions with clear owners and deadlines, and tracking them to closure. During non-incident periods, proactively analyze incident trends, recurring issues, and production bugs — identify patterns, create Problem tickets, and report findings and recommendations to product and engineering teams on a regular cadence. Enforce the incident management framework across the organization, including the severity model, priority matrix, SLA targets, escalation procedures, and deployment readiness gates. Oversee and mentor the Operations Engineer on your shift — coaching on triage, investigation, runbook execution, and documentation quality while conducting regular knowledge transfer sessions to build depth across the service portfolio. Produce shift handoff reports and deliver regular operational reporting: incident trends, KPI performance (MTTD, MTTA, MTTR), SLA adherence, proactive detection rate, and repeat incident analysis. Audit service catalogue completeness on a regular cadence and govern JIRA Service Management workflows for incident, PIR, and problem management. Cover for the Operations Engineer role during absences, breaks, or surge incidents. Participate in weekend on-call rotation for major incidents. Qualifications: Previous experience working at a gaming company is required — you understand the pace, player expectations, live operations dynamics, and the operational demands of the gaming industry. 6+ years of experience in incident management, SRE, NOC leadership, or technical operations in a production environment supporting high-availability, high-transaction systems. Proven incident management experience — coordinating multi-team response, making real-time escalation decisions, and communicating with executive stakeholders under pressure. Excellent written and verbal communication skills in English — ability to draft clear, concise executive updates at 3 AM under pressure, facilitate blameless PIRs, present operational metrics to senior leadership, and communicate incident status to customers and partners with clarity and professionalism. Strong ITIL foundation — understanding of incident, problem, and change management lifecycles with practical experience implementing or operating ITIL-aligned workflows. Technical depth across the observability stack — ability to read and interpret logs, traces, and metrics in Datadog (or equivalent: Grafana, Splunk, New Relic). Understanding of APM, SLOs, error budgets, burn-rate alerting, and synthetic monitoring. Hands-on experience with incident tooling: Datadog, PagerDuty or OpsGenie, JIRA or JIRA Service Management, Slack, and Confluence. Analytical mindset — ability to identify trends, patterns, and recurring issues from incident data and translate them into actionable recommendations for product and engineering teams. Experience with SLA/SLO-driven operations where MTTD, MTTA, and MTTR are measured, reported, and improved. Comfort with 24x7 shift-based operations as part of a follow-the-sun model with handoff overlaps. Weekend on-call (rotating) for critical severities is required. Nice to Have: Experience with customer/partner-facing incident communications and status page management. Experience with or strong interest in AI/ML-assisted operations: anomaly detection, alert correlation, predictive alerting, automated remediation, or self-healing automation. JIRA Service Management administration experience: workflows, SLA timers, automation rules, queues, and permissions. Familiarity with Datadog Service Catalog, scorecards, and SLOs — especially burn-rate alerts and multi-window SLOs. Experience building an operations function from scratch — defining processes, writing runbooks, establishing governance cadences. Background in Kubernetes, cloud infrastructure (GCP preferred), microservices architecture, or distributed systems. ITIL certification (Foundation or higher) is a plus but not required. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re building a platform that covers the whole life of an LLM: training it, deploying it, and observing it in production. We already run multi-node training, elastic inference, sandboxes, and distributed volumes, and we control the infrastructure underneath. We’re looking for research depth in post-training to sit alongside our systems and product work. We are looking for research scientists with a strong track record in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You have a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research accomplishments in reinforcement learning, machine learning, foundation models, or related fields - You have experience with large-scale training and inference infrastructure, including distributed systems and multi-node GPU clusters - You’ve developed, trained, optimized, or deployed state-of-the-art large-scale models - You have first-author publications at leading venues such as NeurIPS, ICML, ICLR, CoRL, CVPR, UAI, JMLR, or TMLR - You have a mission-driven mindset and a strong desire to translate research advances into meaningful product impact - You have a collaborative spirit and can work effectively across research and engineering teams Candidates with a master’s degree and significant research or industry experience will also be considered.

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Most of the value of owning a model shows up at serving time. We’re building a platform that covers the whole life of an LLM (train it, deploy it, observe it), and inference is where teams feel the difference every day. We already run elastic inference, sandboxes, distributed volumes, and multi-node training, and we control the infrastructure underneath, so the serving stack is ours to shape rather than something we resell. You will do hands-on inference research at Modal, working with the research lead to pick high-impact bets and owning them end to end. The bets that matter most are the ones that move cost per token and tail latency on the workloads our customers actually run. WHAT YOU’LL WORK ON: - Own end-to-end inference research bets: speculative decoding, disaggregated prefill/decode, quantization (FP8, INT4), KV-cache and memory management, autoscaling for spiky serverless traffic, and whatever else the research agenda calls for - Train custom speculators against real production traffic and feed what you learn back into target models; acceptance length is the metric that decides the win - Work directly with customers alongside our Forward Deployed Engineers to deploy and tune models, and bring what you learn back into the research - Carry and expand collaborations with outside research labs, for example: - our work with ZLab on DFlash https://modal.com/blog/spec-is-all-u-need, a speculator design built on KV injection and blockwise parallel drafting - our work with SGLang on specdec https://modal.com/blog/host-overhead-inference-efficiency and multimodal inference https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary performance - our work on Flash Attention 4 kernels https://modal.com/blog/flash-attention-4-faster - Work with engineering to turn frontier serving techniques into products: primitives for disaggregation, fast weight refresh for models that keep training after deployment, observability for quality and latency in production, or even a next-generation inference engine - Help shape the research agenda None of the above is prescriptive; your work will help guide our future. YOU MAY BE A FIT IF: - You have a research-leaning or systems background in LLM inference, with work you can point to - You’re fluent in the LLM serving stack, from kernels and quantization up to schedulers and autoscaling - You have a record of shipping research or systems that other people build on, whether in a lab or in industry - You have the drive to independently take a research bet from idea to result, working in the open with the rest of the team - You’re able to work in person in our NYC or San Francisco office

Задачи: — Вести пользовательский опыт от концепции до запуска, отстаивая дизайн-видение топового развлекательного приложения. — Управлять, наставлять и поддерживать команду продуктовых дизайнеров на платформах iOS, Android и веб. — Создавать ориентированные на пользователя дизайны, вайрфреймы, прототипы и макеты для приложения JustPlay. — Развивать и поддерживать дизайн-гайдлайны и комплексную дизайн-систему компании. — Сотрудничать с продакт-менеджерами и инженерами для разработки инновационных решений в рамках технических ограничений. — Интегрировать AI-инструменты для дизайна с целью оптимизации творческих процессов и повышения скорости доставки. Требования: — Опыт руководства командами мобильного продуктового дизайна не менее 5 лет, предпочтительно в сфере развлечений или игр. — Экспертные знания в области геймификации и дизайна вовлечения пользователей. — Профессиональное владение Figma и портфолио с успешными мобильными проектами. — Опыт масштабирования и совершенствования команд и операционных процессов дизайна. — Внимание к деталям и высокая приверженность качеству. Желательно: — Опыт работы с платформами лояльности или вознаграждений. — Знание мобильных игровых трендов и рекламного рынка. Условия: — Гибкий график работы с возможностью быть цифровым кочевником, с редкими визитами в офис или регулярной работой на месте. — Пакет релокации с полной поддержкой визы. — Бюджет на личное развитие до 2000 евро в год на обучение и конференции. — Поддержка психического здоровья через бесплатный персональный коучинг от nilo.health. — Особые преимущества для Германии: 25 дней отпуска, бесплатная подписка Wellhub gold, ежемесячный билет Deutschland-Ticket. — Современное оборудование (Mac или Windows) и офис в Берлине, дружественный к собакам, с бесплатным ежедневным обедом.

О КОМПАНИИ И РОЛИ В связи с расширением штата компании OUTKOD требуется .NET разработчик уровня Senior. Мы работаем над крупными проектами в сферах финтех, телеком и ритейл (подробная информация предоставляется успешным кандидатам). ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ • Разработка REST API сервера (ASP.NET Core); • Разработка Windows-приложений (WPF) для операторов производства; • Интеграция с внешними API и государственными системами; • Интеграция с промышленным оборудованием (принтеры, камеры, контроллеры); • Проведение нагрузочного тестирования и оптимизация производительности систем. ТРЕБОВАНИЯ К КАНДИДАТУ • Уверенное владение C# (опыт работы с ASP.NET Core и WPF обязателен); • Опыт разработки промышленного или производственного программного обеспечения; • Практический опыт работы с СУБД PostgreSQL или MS SQL. БУДЕТ ПЛЮСОМ • Опыт интеграции программных решений с оборудованием; • Опыт работы с системами маркировки товаров.

Location: Melbourne, Florida, United States BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions. About Melbourne: Our headquarters is located in Melbourne, Florida, a vibrant city on the Space Coast where high-tech innovation meets coastal living. Here, you’ll work on dynamic, impactful projects while enjoying front-row views of rocket launches from our rooftop and quick access to some of Florida’s most beautiful beaches. Just an hour from world-class attractions like Disney World and Universal Studios, Melbourne offers the perfect balance of career growth, family life, and fun, all in a warm subtropical climate with a relaxed, suburban feel. Overview: Performs designs and other tasks of engineering projects by performing the following duties. Job Responsibilities: Motivated, self-starter that can independently lead a professional design team to provide general engineering services. Team player that can aid in the development of junior engineers and senior designers. Performs assignments designed to continue to develop professional engineering work knowledge and abilities, requiring application of standard techniques, procedures, and criteria in carrying out a sequence of related engineering tasks. Assignments require independent judgment and application of a non-routine, complex nature, under the supervision of the Director. Assignments shall include more variables and be more complex. Applies intensive and diversified knowledge of engineering principles and practices in broad areas of assignments and related fields. Makes decisions independently on engineering problems and methods and represents the company in conferences to resolve important questions and to plan and coordinate work. Requires the use of advanced techniques and the modification and extension of theories, precepts and practices of engineering. The knowledge and expertise required for this level of work usually result from progressive experience. Assignments usually include complex engineering tasks and calculations with limited technical guidance on non-standard issues. Must coordinate with and help resolve conflicts with other disciplines based on an excellent understanding of the design process. Responsible for the preparation of project specific construction specifications and construction administration. Prepares due diligence studies, construction documents, bid documents, reports, technical specifications (MasterSpec and SpecsIntact), plans, construction schedules, cost estimates and permit applications for projects. Abilities to include all general civil engineering design, including but not limited to: site planning, phasing, traffic/transportation systems for site design, master planning, demolition, erosion control, geometry, paving, grading, drainage, storm water, utilities, potable water, site fire, sanitary sewer, reclaimed water, lift stations, profiles, cross sections, details, a general knowledge of surveying & geotechnical principles, and coordination of all site utilities – power, site lighting, communications, gas, etc. Experience with local and federal regulatory permitting agencies as necessary to support Design and Construction Documents. Familiar with LEED principals and design elements pertaining to site civil items. Has a working knowledge of computer aided design drafting to produce designs into routine final drawings. Research discipline-related code issues and present interpretation. Visits construction site to review, monitor, and report progress and perform other construction administration duties, such as shop drawing review, attend construction site meetings, review RFI’s, prepare ASI’s, PR’s, prepare status reports, per the contract documents. Uses company and discipline department computer assisted engineering and design software and equipment to prepare engineering and design documents. Must be proficient in the use of personal computers. Assist in supervising, coordinating and checking the work, as well as instructing, leading and mentoring Engineer Levels I, II, and III, and Designers and Drafters. Perform checking of one’s own work and work prepared by drafters, engineering designers and other engineers. Provide coordination of all applicable project discipline’s drawings and specifications. Assist in preparing design budgets, marketing proposals and cost estimates. Assist in client contact and communication pertaining to specific projects. Promote communications, cooperation and quality among staff. Must be proficient in the use of the following software: Microsoft Windows, Excel, Project, Power Point, Bluebeam, and Word StormCAD WaterCAD ICPR AutoCAD Civil 3D Department miscellaneous product selection and sizing software Promotes and represents the firm in a professional manner. Responsible for job specific standards, practices and quality as defined in BRPH Systems Manuals. Develops engineering proposals, level II scopes of work, and agreements for assigned projects within the department. Prepares forecast of workload and resources for assigned projects and/or department. Prepares and monitors project budgets. Has overall responsibility for the profitability of his/her projects. Prepares estimated percent complete versus financial percent complete to track progress. Ability to develop a financial cost to complete to ensure project meets financial goals. Responsible for meeting project schedules, timely completion and quality of assigned projects. May serve as a project manager or project engineer on assigned projects. Should be active in professional trade organizations. Qualifications: Bachelor’s degree in engineering from an accredited four-year college or university and minimum of six years’ experience in civil engineering Possess a Professional Engineering License in the State of Florida with the ability to obtain NCEES. Physical Requirements: Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary. EOE, including Disability/Vets

Обязанности: • Проведение учебной практики и учебных занятий для групп 1,2,3,4 курса специальности «Сетевое и системное администрирование» • Технология выполнения работ по профессии рабочего "Оператор электронно-вычислительных и вычислительных машин" • Технология выполнения работ по профессии рабочего-"Наладчик технологического оборудования" • Основы вычислительной техники • Основы безопасности на производстве Требования: • Образование, знания, умения - в соответствии с профстандартом • Владение навыками работы в специализированных программах, а также: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта. • История ОС, архитектура. Диспетчеризация, планирование и взаимодействие процессов ОС, работы с памятью, файловые системы, принципы организации. Установка, настройка и работы в Windows, Linux, Astra Linux. Администрирование ОС и управление безопасностью • Сертификаты Cisco/Huawei либо иных сетевых вендоров. Плюсом будут сертификаты Microsoft и Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI/ Принцип работы протоколов TCP и UDP • Знание сетевых протоколов. FTP, SMTP, POP, IMAP, DHCP, IPv6 адресации. Протоколы удалённого доступа (SSH, Telnet). Принципы работы сети на физическом уровне. Принцип работы технологий IEEE 802.11 (WiFi) Понимание принципа работы локальных сетей, Ip адресация, SLAAC + DHCPv6. Технологии WPAN, WLAN, WMAN, WWAN. Технологии беспроводной связи BLE, BR/EDR, WiMAX • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities 1. Recommendation Engine & Full-Pipeline Development Multi-stage Engine Development: Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking. Compute Tiering & Strategy Engine: Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes. 2. Real-time Feature Engineering & Data Consistency Governance Real-time Feature Pipeline: Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations. Feature Store: Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as "online/offline feature inconsistency" and "feature time-travel leakage," systematically improving online/offline feature consistency. 3. Large-scale Retrieval & Vector Infrastructure Optimization Vector Retrieval System: Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms. Multi-source Heterogeneous Indexing: Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content, on-chain signals, and other heterogeneous data sources. 4. High-performance Model Inference & Compute Optimization Deep Model Engineering: Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models). Inference Graph & Compute Governance: Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) - targeting fine-ranking P99 latency < 200ms. 5. System Performance, Global Observability & Experimentation Infrastructure High Availability & SLO: Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code. Global Distributed Tracing: In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms. Experimentation Platform Engineering: Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines. Requirements Industrial-grade Hands-on Experience: 5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred. Mastery of Engineering Foundations: Exceptionally solid low-level CS fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization. Deep Expertise in Big Data & Retrieval: Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning. Engineering Perspective on Algorithms: Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation. Excellent System Design Capability: Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: London Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re hiring a Product Marketing Manager to help shape how Linear’s products are brought to market and understood by customers. This role sits at the intersection of Product, Engineering, Design, CX, Sales, and Marketing, and is responsible for turning technically sophisticated product work into clear narratives, strong launches, and high-quality customer-facing experiences. You’ll go deep on the product, define positioning and messaging, and drive execution across the surfaces that matter most—from in-product copy and changelogs to enablement, documentation inputs, email, and launch communications. This is a hands-on role for someone who combines product judgment, excellent writing, and strong cross-functional leadership. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and the United Kingdom. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Develop positioning, messaging, and core narratives for feature releases, key launches, and strategic product narratives - Partner closely with Product management, Engineering, and Design to refine how products are presented across in-product and external surfaces - Create and coordinate launch deliverables such as changelogs, demos, enablement materials, email, social copy, and go-to-market communications - Equip Sales, CX, and other customer-facing teams with the context and materials they need to communicate new launches effectively - Bring customer insight, product understanding, and market context back into product and launch decisions What we’re looking for - Exceptional writing and editorial judgment, with the ability to make complex ideas feel clear and compelling - Strong positioning and messaging skills grounded in customer problems, product truth, and differentiation - Great project management skills and ability to track large amounts of detail. - Comfort going deep on product details and building credibility with Product, Engineering, and Design - Strong judgment, ownership, and the ability to operate autonomously while maintaining a high quality bar What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $145,000—$192,500. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re hiring a Product Marketing Manager to help shape how Linear’s products are brought to market and understood by customers. This role sits at the intersection of Product, Engineering, Design, CX, Sales, and Marketing, and is responsible for turning technically sophisticated product work into clear narratives, strong launches, and high-quality customer-facing experiences. You’ll go deep on the product, define positioning and messaging, and drive execution across the surfaces that matter most—from in-product copy and changelogs to enablement, documentation inputs, email, and launch communications. This is a hands-on role for someone who combines product judgment, excellent writing, and strong cross-functional leadership. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and the United Kingdom. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Develop positioning, messaging, and core narratives for feature releases, key launches, and strategic product narratives - Partner closely with Product management, Engineering, and Design to refine how products are presented across in-product and external surfaces - Create and coordinate launch deliverables such as changelogs, demos, enablement materials, email, social copy, and go-to-market communications - Equip Sales, CX, and other customer-facing teams with the context and materials they need to communicate new launches effectively - Bring customer insight, product understanding, and market context back into product and launch decisions What we’re looking for - Exceptional writing and editorial judgment, with the ability to make complex ideas feel clear and compelling - Strong positioning and messaging skills grounded in customer problems, product truth, and differentiation - Great project management skills and ability to track large amounts of detail. - Comfort going deep on product details and building credibility with Product, Engineering, and Design - Strong judgment, ownership, and the ability to operate autonomously while maintaining a high quality bar What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $145,000—$192,500. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. As Unlimit expands into new markets, each license we obtain connects us to that country's banking infrastructure — domestic clearing and direct interaction with other participants in the banking system. This role owns the integrations that bring those rails live: working hands-on with central banks, national clearing systems, and third-party BaaS providers.   You'll act as both project lead and solution engineer — running each integration with the regulator or provider and doing the technical implementation yourself. It's a role that sits between delivery and architecture: you own a project end to end while staying deep in the technical detail. What You'll Be Doing Own central bank and clearing integration projects end to end, from kickoff to go-live, as Unlimit enters new licensed markets. Act as the primary technical and project contact for regulators and their assigned counterparts. Manage the full onboarding path: credentials and environment setup, certification test cases, and production activation. Set and defend realistic launch timelines, and keep projects on track within their delivery window. Design and implement the connections that plug Unlimit into local clearing and payment systems. Deliver integrations with third-party BaaS providers to bring additional payment rails online. Document integrations and hand over clean, maintainable solutions to engineering and operations. Our Tech Stack You'll work across a stack that includes: Backend & tooling: JVM, Kotlin, Java, Spring Boot, Modulith, Javalin, jOOQ, Temporal Integration & messaging: REST and SOAP/XML web services, ISO 20022; Kafka and SQS/SNS for internal eventing Security: mTLS, PKI, certificate-based authentication, and digital signatures — standard for central bank and clearing connections Cloud & infrastructure: AWS, Docker, Kubernetes, Terraform, GitLab CI/CD What We're Looking For 5+ years in payments, banking, or integration engineering, with hands-on ownership of complex integration projects. Direct experience integrating with central banks and/or national clearing and settlement systems. Hands-on familiarity with payment schemes and networks such as SWIFT and SEPA. Strong understanding of payment rails, clearing, and settlement flows. Comfort with payment messaging standards and integration patterns (ISO 20022, MT/MX, SOAP/REST web services, certificate-based auth). The ability to run a regulated project independently — managing scope, timelines, and regulator communication without close supervision. A solid awareness of AI-driven engineering practices and where the tooling is heading. Hands-on experience putting AI tools to work — LLMs, AI-assisted development environments, and automation frameworks — to sharpen productivity, system performance, or technical decision-making. A clear, structured communicator who can hold their own with regulators and technical counterparties alike. Nice to Have Experience working directly with financial regulators, especially in Europe, Mexico, and Brazil. Familiarity with local schemes such as SEPA (Europe), SPEI (Mexico), and Pix (Brazil). Prior BaaS / embedded-finance integration experience. A background in payments, banking, or fintech operating across multiple jurisdictions. What You'll Gain Ownership of high-impact projects that directly unlock new markets for Unlimit. Exposure to the full fintech product landscape: acquiring, BaaS, wallets, crypto, and more. A global company with a strong engineering culture, agile mindset, and flat hierarchy. Collaboration with international teams across EU, LATAM, and APAC. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities Are you open, communicative, and passionate about technology and customer support? Join our Customer Support Team as a Customer Support Specialist and help our customers solve their IT challenges while delivering an outstanding customer experience. Provide professional support to our customers via phone, email, ticket system, and chat, addressing technical, administrative, and account-related inquiries. Assist customers with topics such as software usage, onboarding, licensing, subscriptions, invoicing, and account management. Analyze customer issues, identify solutions, and provide clear guidance to ensure a smooth customer experience. Support customers in understanding and effectively using our software solutions. Conduct online demonstrations of our products and highlight functionalities that address customers’ individual needs. Prepare tailored offers and support customers throughout their journey with TeamViewer. Collaborate closely with internal teams to resolve customer requests and continuously improve the customer experience. Contribute to delivering a high-quality customer experience by building strong relationships with our customers. Requirements Fluent in Polish and English ; additional languages are a plus. Strong interest in technology, software, and IT environments. Ability to quickly understand software products and explain technical concepts to customers with varying levels of expertise. Strong communication, customer engagement, and problem-solving skills with a customer-focused mindset. Comfortable working with Windows and macOS environments and learning new technologies. Ability to support customers across various topics, including technical inquiries, onboarding, licensing, subscriptions, invoicing, and account-related requests. Strong analytical skills with the ability to balance technical and administrative tasks. Excellent organizational skills and ability to manage multiple priorities in a fast-paced environment. Self-motivated, curious, and eager to continuously learn and develop. Previous experience in customer support, technical support, SaaS, IT services, or another customer-facing role is an advantage. What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Обязанности: • Проведение учебной практики по специальности «Сетевое и системное администрирование»: - «Настройка сетевой инфраструктуры» - «Организация сетевого администрирования операционных систем" Требования: • образование, знания, умения - в соответствии с Профстандартом • владение навыками работы в специализированных программах, а также: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта • История ОС, архитектура. Диспетчеризация, планирование и взаимодействие процессов ОС, работы с памятью, файловые системы, принципы организации. Установка, настройка и работы в Windows, Linux, Astra Linux. Администрирование ОС и управление безопасностью • Сертификаты Cisco/Huawei либо иных сетевых вендоров. Плюсом будут сертификаты Microsoft и Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI/ Принцип работы протоколов TCP и UDP • Знание сетевых протоколов. FTP, SMTP, POP, IMAP, DHCP, IPv6 адресации. Протоколы удалённого доступа (SSH, Telnet). Принцип работы сети на физическом уровне. Принцип работы технологий IEEE 802.11 (WiFi) Понимание принципа работы локальных сетей, IP адресация, SLAAC + DHCPv6. Технологии WPAN, WLAN, WMAN, WWAN. Технологии беспроводной связи BLE, BR/EDR, WiMAX • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. (Suitable candidates has to relocate to Hong Kong, KL Malaysia or Abu Dhabi) Key Responsibilities Agent SDK & Runtime — Design and implement the orchestration engine, runtime, and core primitives; ensure the agentic loop is both steerable and verifiable while remaining conversational and adaptive. MCP Matrix Expansion — Wrap internal systems as MCP servers / sub-agents / agent skills; unify tool discovery, dynamic registration, RBAC, rate limiting, and version management. Agent Development Lifecycle (ADLC) — Build toolchains adapted to the non-deterministic behavior of agents, covering the full loop: Spec → Eval → Build → Test → A/B → Canary → Monitoring → Iteration. End-to-End Ownership of Effectiveness & Cost — Own accuracy, resolution rate, cost, and latency metrics; build agent personalization optimization loops through data feedback. Requirements Education & Experience: Bachelor's degree or above in CS/SE or related field; 6+ years of engineering experience with 3+ years focused on AI/Agent systems; candidates with 8+ years and hands-on 0-to-1 Agent platform delivery are strongly preferred. Engineering Foundation: Proficient in Go or Python; capable of production-grade system design and TRD documentation. LLM Application Engineering: Deep expertise in LLM APIs, Prompt Engineering, ReAct patterns, and context window management (token budgeting / history compression / sub-agent compression). Production-Grade Agent Experience: Full 0-to-1 launch with continuous iteration loop — clearly distinguished from Demo/POC work. Agent Engineering Practice: Familiar with at least one orchestration framework (LangGraph / Dify / Eino / Embabel / OpenAI Agents SDK, etc.); hands-on experience with Multi-Agent collaboration (Agent Teams / parallel / DAG / Handoff). Adjacent Agent Capabilities: Deep expertise in at least one of: RAG engineering (vector retrieval, Hybrid Search, Reranking) or evaluation systems (LLM-as-Judge, Golden Set, regression testing, A/B). Engineering Mindset: Ability to quantify effectiveness and cost (token optimization thinking); understanding of PII desensitization and prompt injection protection; ability to identify compliance boundaries in financial scenarios. Bonus Points 0 to-1 experience building an Agent simulation / benchmarking platform (τ-Bench scale) Private LLM deployment: vLLM / Triton / DeepSeek / Qwen / GLM Domain expertise: Crypto AI (risk control / KYC / compliance), AIOps (alert RCA / diagnostic tooling), customer service AI, code AI AI security research: published work on prompt injection, jailbreak defense, Smart Contract AI security, etc. Open-source contributions to LangChain / LangGraph / Dify / MCP / Eino / Vercel AI SDK or similar Public technical influence: blog posts / conference talks / papers / OSS projects Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work. As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment. We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite. This role is based in New York, NY. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations. - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web) - Build polished, high-performance interfaces with crisp interactions and resilient error handling - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience WHAT YOU HAVE - 10+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations - Experience with React or similar modern frontend frameworks - Track record of shipping highly intuitive products with strong attention to detail - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus NICE TO HAVE - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams) - Background in legal tech or enterprise SaaS - Experience building products that integrate with AI/LLM capabilities COMPENSATION RANGE $231,000 - $340,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-PF1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Legal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work. As a Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment. We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite. This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees. WHAT YOU'LL DO - Own and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations. - Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers work - Design and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted drafting - Architect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web) - Build polished, high-performance interfaces with crisp interactions and resilient error handling - Collaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflows - Navigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable support - Contribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suite - Mentor engineers, drive technical decisions, and raise the bar on quality and developer experience WHAT YOU HAVE - 10+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJS - Experience building and shipping a production Office Add-in product, ideally one used at enterprise scale - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Deep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerations - Experience with React or similar modern frontend frameworks - Track record of shipping highly intuitive products with strong attention to detail - Familiarity with Microsoft Office Add-in guidelines and AppSource submission process is a plus NICE TO HAVE - Experience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams) - Background in legal tech or enterprise SaaS - Experience building products that integrate with AI/LLM capabilities COMPENSATION RANGE $231,000 - $340,000 DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-PF1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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 We are looking for a Technical Program Manager to own the operational readiness and ongoing health of our fleet of Data Centers, both COLO and BTS sites. In this role you will be the single point of accountability for ensuring each site runs as expected — SLAs met, maintenance executed on schedule, and audits passed — across a growing portfolio of landlord-operated and purpose-built facilities. You will operate as the primary interface between Nebius and our data center landlords and operators, and you will partner closely with the Nebius IT team to translate site-level operations into reliable infrastructure for our customers. This is an individual contributor position for someone who is equally comfortable in a contractual SLA review, a maintenance window planning call, and a physical site audit. You will define the mechanisms that keep our sites accountable and surface risk before it becomes an incident. Key job responsibilities Own the operational health of Nebius COLO and BTS sites, ensuring each facility runs to expectation across power, cooling, space, connectivity, security, and environmental controls. Track, monitor, and enforce SLA compliance across landlords and colocation providers; identify breaches, drive remediation, and hold providers accountable to contractual commitments. Manage and coordinate site maintenance schedules — preventive and corrective — including planning and approving maintenance windows, reviewing Methods of Procedure (MOPs), and minimizing risk to live workloads. Plan and drive site audits covering compliance, capacity, power/cooling performance, physical security, and safety; track findings to closure. Serve as the primary day-to-day interface with data center landlords and operators, managing the operational relationship, escalations, and coordination of on-site activity. Partner closely with the Nebius IT team on deployments, capacity planning, incident response, and change management at each site. Build reporting mechanisms and dashboards that give leadership clear visibility into site health, SLA performance, maintenance status, and open risk across the portfolio. Lead incident coordination and post-incident follow-up, including root cause analysis and corrective action tracking with landlords and internal teams. Track and manage contractual operational obligations, deliverables, and timelines across multiple sites and providers simultaneously. About the team The Data Center team is responsible for the physical infrastructure that underpins Nebius' AI cloud. We manage the full lifecycle of our COLO and BTS footprint — from bringing new capacity online to keeping live sites running reliably at scale. We work at the intersection of facilities operations, vendor management, and IT infrastructure, and we move fast because our customers' AI workloads depend on the reliability we deliver. Basic qualifications 10+ years of experience in technical program management, data center operations, or critical facilities/infrastructure management. Experience managing data center infrastructure and operations (power, cooling, space, connectivity) in colocation, build-to-suit, or owned environments. Experience managing third-party vendors, landlords, or service providers against SLAs and contractual obligations. Demonstrated ability to manage multiple programs, sites, or workstreams simultaneously and drive them to measurable outcomes. Bachelor's degree in a relevant field, or equivalent practical experience. Preferred qualifications Direct experience with colocation (COLO) and build-to-suit (BTS) data center models, including operating across multiple landlords and operators. Working knowledge of data center SLAs, MOPs/SOPs, maintenance regimes, and audit and compliance frameworks (e.g., Uptime Institute Tier standards, SOC 2, ISO 27001). Experience supporting AI/HPC, GPU cluster, or other high-density compute infrastructure. Strong familiarity with incident management and root cause analysis in a critical facilities context. Experience building reporting mechanisms, dashboards, or operational scorecards for infrastructure health and risk. PMP, Uptime ATD, or equivalent program/operations certification. Proficiency with program and ticketing tools (e.g., Jira, ServiceNow) and comfort working with operational data. Willingness to travel to sites as needed. 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.