Вакансии

Workplace: hybrid Обязанности Эксплуатация кластеров Red Panda / Kafka: развёртывание, мониторинг, обновления, масштабирование; Диагностика инцидентов: анализ лагов консьюмеров, проблем репликации, неравномерного партиционирования; Поддержка интеграций Red Panda с СУБД: ClickHouse — streaming-загрузки, оптимизация batch-вставок, настройка движков Kafka/Red Panda Engine PostgreSQL — CDC через Debezium, управление слотами репликации, диагностика WAL-накопления MongoDB — Change Streams, настройка коннекторов, работа с BSON-сериализацией Redis — паттерны кэширования stream-данных, управление TTL, диагностика memory pressure Настройка производительности: тюнинг retention, управление дисковым хранением, оптимизация пропускной способности; Развитие observability: алерты, дашборды, корреляция метрик очередей и баз данных; Документирование инцидентов и runbooks. Условия работы Проекты, различные по своей направленности, обмен опытом с коллегами из других продуктов; Официальное оформление с белой ЗП, полугодовые премии по результатам работы; Гибкий график работы (с 8/9/10 утра) / График работы: 5/2, с 9:00 до 18:15 (в пятницу — до 17:00); Возможность работать удалённо или в гибридном формате; Широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья; Возможность учиться и развиваться за счёт компании: внешние тренинги и семинары по профессиональным тематикам, участие в крупнейших конференциях страны, программы развития цифровых и управленческих навыков (Цифровая академия, Школа Тимлидов), онлайн и офлайн мастер-классы, корпоративный университет «X5 Полка», школа наставников и многое другое; Программы мотивации для спикеров и авторов: внутренняя школа Speak Up School, Write Up, ачивки и баллы за выступления, подготовка спикеров к крупнейшим конференциям страны, сообщество авторов на Хабре, возможность шерить опыт с комьюнити внутренних и внешних экспертов; Обмен опытом через cообщества: 12 технических комьюнити от java до devops; Яркая корпоративная жизнь с большим количеством мероприятий, конкурсов и возможностей для творческой реализации: регулярные внутренние митапы, демо-дни, открытые микрофоны, день IT-специалиста, программы волонтерства, корпоративное предпринимательство X5 Idea Challenge. Профессиональные навыки Kafka в production: администрирование брокеров, понимание работы продюсеров/консьюмеров, опыт диагностики ребалансировок и backpressure — от 1,5 лет; СУБД на уровне support-инженера (хотя бы 2 из 4): ClickHouse — понимание MergeTree-движков, партиционирования, оптимизации INSERT … SELECT из потоковых источников PostgreSQL — индексы, медленные запросы, блокировки, базовое администрирование, репликация MongoDB — структура документов, индексы, работа с репликасетами, понимание Change Streams Redis — типы данных, persistence, memory policies, диагностика latency Опыт интеграции потоковых систем и баз: CDC, коннекторы, понимание trade-offs между consistency и latency; Linux, Bash, Docker, базовые навыки Kubernetes; Мониторинг: Prometheus/Grafana, настройка алертинга; Go или Java — чтение кода, написание скриптов; Готовность освоить Red Panda: архитектура Raft, отличия от Kafka по операционной модели

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно MAGNIT TECH — технологичный драйвер одного из крупнейших ритейлеров страны. Мы создаём будущее: от решений в области автономной логистики с полностью автоматизированными распределительными центрами до исследований потенциала квантовых вычислений. Сейчас мы в поиске Инженера SOC L2 . О продукте Команда защищает современную облачную инфраструктуру компании: Linux, Kubernetes, контейнеры и облачные сервисы. Расследуем инциденты, проактивно ищем угрозы и наводим порядок в конфигурациях безопасности, чтобы инфраструктура работала без сбоев. Работаем с реальной продуктовой средой: собственная облачная платформа, Yandex Cloud, Cloud.ru, Kafka, PostgreSQL, Redis, Object Storage. Каждый инцидент — возможность разобраться, как система устроена изнутри, на уровне процессов, сетей и ядра. Формального опыта в SOC не требуется — нам интересны и инженеры DevOps, DevSecOps, SRE с сильной технической базой, которые хотят развиваться в Cloud Security, Threat Hunting и Incident Response. Для нас важнее практические инженерные навыки и системное мышление. Задачи Расследовать сложные и нетиповые инциденты в Linux, Kubernetes, контейнерной и облачной инфраструктуре; Проводить технический анализ и DFIR: процессы, сетевые соединения, системные журналы, артефакты компрометации; Проводить проактивный поиск угроз (Threat Hunting) на основе гипотез, IoC и техник MITRE ATT&CK; Выявлять векторы атак, находить первопричины инцидентов и давать технические рекомендации по устранению угроз; Расследовать инциденты в Kubernetes: Audit Logs, события, контейнеры, активность внутри кластера; Анализировать техники атак на Kubernetes и контейнеры по MITRE ATT&CK for Containers; Выявлять небезопасные конфигурации: RBAC, NetworkPolicy, Pod Security Standards, Secrets, SecurityContext, Admission Controllers; Анализировать защищённость облачных сервисов: Kafka, S3/Object Storage, PostgreSQL, Redis; Находить ошибки в конфигурациях IAM, сетевого доступа, аутентификации, авторизации, шифрования и управления секретами; Писать скрипты и инструменты для автоматизации расследований, сбора артефактов и проверки конфигураций; Разрабатывать сценарии обнаружения атак и методы проактивного поиска угроз; Исследовать новые техники атак на Linux, Kubernetes и облачные сервисы; Готовить техническую документацию, инструкции и сценарии расследований; Делиться экспертизой с командой и развивать процессы реагирования на инциденты. Требования Уверенное знание Linux: процессы, файловая система, права доступа, systemd, сетевой стек, системные журналы, механизмы аудита; Практический опыт работы с Kubernetes: kubectl, архитектура кластера, Pod, Deployment, DaemonSet, ServiceAccount, RBAC, NetworkPolicy, Secrets; Понимание Docker/containerd, механизмов изоляции контейнеров и возможных векторов атак; Знание основных техник MITRE ATT&CK применительно к Linux, контейнерам и Kubernetes; Понимание принципов безопасной настройки облачных сервисов: IAM, S3/Object Storage, Kafka, СУБД, сетевой доступ, управление секретами; Знание сетевых протоколов TCP/IP, DNS, HTTP(S), TLS; Уверенное владение Bash — самостоятельно пишешь скрипты для автоматизации задач; Понимание Git, CI/CD, Infrastructure as Code и DevOps-практик; Умение технически анализировать проблемы и самостоятельно искать их первопричину. Будет плюсом Опыт в SOC L2/L3, Incident Response, DFIR, DevSecOps или SRE; Практический опыт с российскими облаками или частными облачными платформами; Python / Go и опыт разработки инструментов автоматизации; Опыт с Terraform, Helm, Argo CD / FluxCD, GitLab CI/CD; Знакомство с инструментами безопасности Kubernetes: Falco, Tetragon, Trivy, Kyverno; Опыт работы с Wireshark, osquery и другими DFIR-инструментами; Понимание eBPF, Kubernetes Runtime Security и обнаружения атак на уровне ОС и контейнеров; Опыт технических исследований безопасности и Threat Hunting. Условия Оформление в аккредитованную ИТ-компанию Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в Москве на ст. м. Савёловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге (ст. м. Балтийская) и Иннополисе Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Agtonomy is looking for a Robot Operations Engineer to investigate field issues, monitor robotic fleets, automate operations, manage configurations, and support autonomous tractor site launches.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Austin, TX About the Role We are seeking a Data Center Design Engineer to design Cloudflare’s pending and future infrastructure deployments for generational improvement in cost, quality, and speed of deployment. In this role, you will lead electrical design and end-to-end execution for new sites, expansions, and infrastructure upgrades supporting compute, storage, and high-density liquid-cooled GPU deployments. We are looking for someone who excels at progressing many projects in parallel, managing dynamic day-to-day priorities with many stakeholders, and serving as Cloudflare's owner's representative to refine data center design best practices in a high-growth environment. Getting stuff done is a must! The Data Center Strategy team is part of Cloudflare’s global Infrastructure (INF) team. The INF team grows and manages Cloudflare’s global data center/PoP footprint, enabling Cloudflare’s tremendous growth with compute, network, and data center infrastructure, utilizing an extensive range of global partner vendors. What you'll do: Translate data center capacity requirements into actionable white space design and/or rack plans within individual data center contract constraints for power, coolingManage implementation phase of cage projects with data center providersDesign low voltage structured cabling, fiber, cross-connect & conveyance infrastructure as well as any supporting infrastructure on the data center ceiling/floorWork with supply chain team on rack integration plans and location deployment qualification Work cross-functionally with Cloudflare data center engineering team and other internal teams (capacity planning, network strategy, security) to verify scope and solution and create repeatable standard installation procedures Take ownership of and lead projects to design and implement data center expansions or new data centers on tight deadlines with minimal oversight Technical support in negotiations with external data center partners Assist in RFP preparation, review and cost/engineering analysis Review one-line diagrams and cooling equations for new and existing data centers (Data Center M&E) Power component (PDU) review/approval for Hardware sourcing team Implement, document and maintain power consumption tracking tools and fulfil ad-hoc reporting requests Research new and innovative power efficiency technologies and programs Travel up to 25% to perform infrastructure audits, validate data center construction work and buildouts, and participate in commercial processes. Develop and execute modular and prefabricated data center construction strategies to accelerate time-to-market and optimize cost efficiency Perform electrical short-circuit, coordination, arc flash, and load flow engineering studies to ensure system reliability and compliance Other duties as assigned Partner with Hardware Sourcing and SRE/Infrastructure teams to validate PDU specifications, rack integration plans, and power distribution topologies across global PoP footprints Lead electrical design and end-to-end execution for new sites, expansions, and infrastructure upgrades from site qualification and basis of design through energization, commissioning, and operational handover Serve as Cloudflare's electrical owner's representative, defining design criteria, scopes, deliverables, responsibility matrices, review gates, and acceptance requirements for data center operators, consulting engineers, contractors, commissioning agents, utilities, and vendors Design and review utility-to-rack infrastructure, including utility service, transformers, switchgear, generators, UPS systems, transfer systems, modular and prefabricated electrical assemblies, busway, feeders, whips, rack PDUs, grounding, and metering Define electrical interfaces and auxiliary-load requirements for direct-to-chip liquid cooling, coolant distribution units (CDUs), pumps, controls, leak detection, facility water systems, and heat-rejection equipment Develop and review basis-of-design documents, single-line diagrams, specifications, equipment schedules, calculations, sequences of operation, and interface control documents Oversee technical acceptance of FAT, SAT, Level 1–5 staged commissioning, integrated systems testing, failure-mode testing, deficiency closure, and turnover documentation Define EPMS, metering, telemetry, and capacity-tracking requirements for operational power and capacity management Requirements Bachelors or equivalent experience plus 5+ years of experience in data center mechanical and electrical design and operations/deployment/installation, P.E. certification or equivalent a plus Experience in HVAC, Chilled Water Systems, Condenser Water Systems, Pump controls, Glycool/Glycols, AHU units (DX, split, RTU, CRAC, etc.), CRAH, Raised Floor Systems, HOT/COLD aisle containment and Building Management Systems Understanding of basic electrical theory (voltage, current, power), basic circuit design & analysis, and single- and three-phase power systems Familiarity with Data Center M&E infrastructure design concepts, electrical/UPS topologies, cooling methodologies (central plant, room cooling, high density thermal strategies) Familiarity with industry standards for resilient Data Center design and Uptime Institute Tier Classifications Excellent verbal, written communication and presentation skills Experience working with multiple time zones and multiple cross-functional teams Experience working on time sensitive projects with delivery responsibility under pressure Understanding of network hardware architecture, data center switching/routing infrastructure, and optical line/transceiver power and thermal profiles Experience acting as an owner's technical representative, governing external delivery partners, reviewing third-party designs, resolving technical disputes, and driving noncompliance and project risks through documented closure Expertise in medium- and low-voltage distribution, transformers, generators, UPS systems, switchgear, transfer systems, busway, grounding, protection, and rack-level power architectures for high-density deployments Understanding of direct-to-chip liquid cooling and the electrical dependencies of CDUs, pumps, controls, facility water systems, and heat-rejection equipment Experience with construction administration, equipment testing, energization planning, staged commissioning, integrated systems testing, deficiency management, and failure-mode testing Experience with utility coordination, design-deviation governance, power-quality or incident investigations, and lifecycle management of mission-critical electrical infrastructure Bonus Points Degree in electrical/mechanical engineering or IT a plus Experience in large-scale mission critical facility infrastructure design, construction, commissioning, and/or operations a plus Experience with industry standards and building codes including NFPA 70/NEC, IEEE, NEMA, ANSI, UMC, ASHRAE, UBC, LEED, and Uptime Institute standards Knowledge of programming languages a plus JIRA, Confluence admin-level experience a plus AutoCAD experience a plus Experience with FLOTHERM or Tileflow a plus Hands-on experience with hardware validation, power/cooling capacity modeling, or thermal simulation tools (such as FLOTHERM or Tileflow) Familiarity with systems programming, scripting (Python, Go, or Bash), or automation workflows for power/infrastructure tracking Experience with NVIDIA DGX, GB200/GB300 NVL, OCP Open Rack, or comparable liquid-cooled GPU platforms and AI factory reference architectures Experience with ETAP, SKM PowerTools, EasyPower, or equivalent software for dynamic modeling, generator transient analysis, harmonic analysis, and UPS compatibility assessment Experience with EPMS/BMS integration, branch-circuit monitoring, rack-level telemetry, metering, capacity forecasting, or automated infrastructure reporting What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco Asana is hiring a Head of IT Systems Engineering to lead the team that powers how every Asana employee works. Reporting to the Head of IT, this San Francisco-based leader owns the strategy, architecture, and operations behind our SaaS productivity applications, corporate endpoints, identity, and user lifecycle, setting the standards and roadmap that keep every employee secure and productive. You will also influence the way Asana evaluates, adopts, and governs the tools and platforms our employees rely on. You will be responsible for the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, who deliver this work. This role has one manager level report. You ask good questions, are confident in not knowing everything, and would rather build with others than go it alone. You are crisp and detail oriented, but comfortable working outside the boundaries when the situation calls for it. You bring a proven record of success, a passion for technology, and, like us, you value hard work and fun in equal measure. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with Asana’s business priorities and Asana’s broader AI strategy Accelerate an Agentified Asana, helping teams across Asana embrace our tools and reduce the friction of manual work. Partner with leaders across Asana to build and maintain an efficient and effective portfolio of SaaS tools to enable all Asanas to do their best work. Lead, develop, and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development Own the strategy and operation of corporate endpoint management, SaaS application management, identity, and the full user lifecycle Drive IT’s AI strategy, from evaluating and governing platforms such as Claude, Gemini, and OpenAI to building AI agents and automation for onboarding, access requests, support, and compliance workflows Partner with Security, Legal, and Privacy to set AI usage policies, data access controls, and vendor risk standards, including identity-based access and data loss prevention for AI tools and integrations Set client platform standards and drive excellence in system performance, patching, and configuration compliance Partner with IT Support, IT Infrastructure, and Security leadership to resolve issues, reduce risk, and improve the employee experience Represent Systems Engineering to senior stakeholders, communicating priorities, tradeoffs, and results clearly About you 10+ years of IT experience, including 5+ years directly leading teams of systems engineers and software engineers in a fast-paced, cloud-first environment Proven ownership of purchasing, inventory management, and budgeting at scale Strong, hands-on knowledge of current IAM practices and cloud-based identity, SSO, SAML, and SCIM Experience with hosted cloud applications, including Okta, Google Workspace, Asana, Figma, and Slack Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review Track record of setting strategy and roadmaps, then delegating effectively while staying close enough to the details to coach and unblockExperience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki Working knowledge of scripting and API integration (REST, OAuth, Python, PowerShell, Bash, or equivalent) Hands-on experience with enterprise AI platforms such as Claude, and OpenAI, including deployment, administration, and integration through APIs, connectors, and MCP servers Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making How you work A strong mix of problem solving and a positive, service-oriented attitude Excellent communication and documentation skills, with the ability to influence senior stakeholders and cross-functional partners Curiosity and a bias toward experimenting with AI in your own work, and the ability to lead a team through rapid change At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $252,000 - $296,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-SA About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Montreal, QC Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Professional working proficiency in French & English (written and spoken) is required. (Compétence professionnelle complète en français, à l'oral et à l'écrit, requise.) Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: EMEA Workplace: Remote ClickHouse is the open-source, real-time analytical database behind a lot of today's AI. More than 4,000 companies build on ClickHouse, including Anthropic, OpenAI, Tesla and Meta. As a Consulting Engineer, you're the hands-on engineer on our customers' most important projects. When a customer needs to migrate, integrate, or prove ClickHouse on a real workload, you work in the build alongside their engineers: you design it, build it, test it and hand it over. You'll work on a broad mix of projects for customers across EMEA, from moving large workloads off other databases to building new real-time analytics on ClickHouse. Each one is scoped with clear goals from the start, so you know what success looks like and can get stuck in. It's a fast way to build deep experience across lots of different data problems. The consulting function at ClickHouse is less than a year old, so you'll help shape how ClickHouse delivers this work as the team grows. Between projects you take cases alongside support engineers, which keeps you close to day-to-day support. WHAT YOU'LL DO - Turn customer goals into a scoped project with measurable success criteria, sizing and a timeline - Design a target architecture and prove it against the customer's own data: schema and engine design, capacity and sizing, proofs of concept - Do the build: implementation, pipelines and integrations, migration execution, tooling and automation - Measure it before it matters, with benchmarking, load and functional testing, then support the cutover - Tune what production reveals, then hand over with an engagement report and knowledge transfer, so the customer's team can run it without you - Take L1 to L3 cases alongside support engineers when you're between projects - Feed what you see in the field back to Product and Engineering, and turn your work into reference architectures, knowledge base articles and blog posts - Work in a constant feedback loop with the Pre-sales team to ensure that the demos and POCs they present are credible when you put them into production WHAT YOU'LL BRING - 5+ years delivering hands-on technical work for customers, whether your title was consultant, professional services, solutions architect, senior support, SRE or something else - Real depth in databases, whether analytical, transactional or relational - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - You've owned implementations, migrations or POCs for external customers from start to finish - Hands-on cloud experience (AWS, GCP and/or Azure) - You've deployed and run workloads on Kubernetes yourself - You've run distributed systems, such as distributed databases, in production - You give precise technical answers and explain them clearly - Fluent English NICE TO HAVE - Experience with ClickHouse - Hands-on Splunk experience - Migrating analytical workloads from systems such as PostgreSQL, Snowflake, BigQuery or Elastic - Terraform - Data pipelines and streaming, such as Kafka, Kinesis, Spark or Debezium - Python, Bash or Go - Involvement in open source, as a user, contributor or community member GOOD TO KNOW - This role is remote within EMEA, in a country where ClickHouse already hires - Travel to customer sites is part of the job, up to 35% of your time, depending on the project: some need none, others weekly visits - You'll join our EMEA Support Services team, where Support Engineers, Consulting Engineers and TAM Architects work as one team - You'll be part of the on-call rotation, about one week a quarter, with time off in lieu if you're paged at a weekend HOW WE HIRE - A 30-minute call with our recruiter - A conversation with the hiring manager - A take-home exercise, designed to take three to four hours, with three working days to complete it - A 90-minute technical interview with the team: you'll walk us through your take-home, then join a working session where you write and tune SQL live - A final conversation with our VP of Support Services - References, then an offer The working session is without AI tools, so make sure you're comfortable writing queries from scratch. Download open-source ClickHouse and practise: it's free, easy to install, and great preparation. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Serve as the principal technical advisor to Regional Directors and Senior Leadership Team on all Falcon Complete service delivery matters. Ensure technical consistency, quality standards, and best practices across regional operations.

Location: Poland; Bulgaria; Romania Workplace: Remote ABOUT PATRIANNA Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent—smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve. Whether you're a domain expert or an agile thinker who thrives in change, at Patrianna you'll have the freedom to innovate, take ownership, and help us lead the next wave of gaming innovation. Join us—and be part of something extraordinary. THE ROLE You'll keep our cloud platform, apps and AI agents fast, observable and resilient, using automation and AI to make reliability everyone's default. WHAT YOU WILL BE DOING 1. You'll run reproducible, multi-environment cloud infrastructure using Infrastructure as Code (IaC). 2. You'll build and own CI/CD pipelines, deployment checks and recovery procedures so shipping is fast and safe. 3. You'll set up logs, metrics, traces and alerts across apps, AI agents and their dependencies. Every alert will be one someone can actually act on. 4. You'll lead incident diagnosis, keep runbooks sharp and regularly test recovery, including safe automated rollback. 5. You'll automate repetitive ops work and use AI to speed up log analysis, root-cause hunting and fixes. 6. You'll make reliability a shared habit by documenting decisions, setting clear SLOs and helping teams own what they ship. WHAT WE ARE LOOKING FOR 1. Strong cloud operations experience, with deep hands-on CI/CD and IaC skills (e.g. Terraform). 2. Confidence diagnosing distributed systems through logs, metrics and traces, including when the clock is ticking. 3. Proven hands-on incident response experience. You've been on call, led the fix and written the post-mortem. 4. Solid scripting skills (e.g. Python, Bash, Go) and strong knowledge of networking, secrets management and service identities. 5. An AI-first approach to automation. You reach for AI tooling to remove toil, not add it. 6. Bonus points for GCP, Cloud Run, Pub/Sub, Airflow, Vercel, Supabase, Kubernetes or OpenTelemetry, plus SLO/error-budget experience. WHY YOU WILL LOVE IT 1. Real ownership: You won't just maintain someone else's setup. You'll shape how we build, ship and recover. 2. Cool stuff, at scale: Your work keeps games running smoothly for millions of players. 3. No-nonsense culture: We're direct, transparent and accountable. Conversations happen in open Slack channels, outcomes are documented in Monday.com http://Monday.com, and deadlines are agreed, not imposed. 4. Progress over perfectionism: We ship, learn and improve, and we don't wait for perfect. 5. Great people only: We have high standards, a strong team spirit and a strict no ass-hole policy. 6. Connected, wherever you are: We use Google Meet with cameras on, because we like actually knowing each other. EQUAL OPPORTUNITIES We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Gibraltar; Isle of Man Workplace: Hybrid ABOUT PATRIANNA Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent—smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve. Whether you're a domain expert or an agile thinker who thrives in change, at Patrianna you'll have the freedom to innovate, take ownership, and help us lead the next wave of gaming innovation. Join us—and be part of something extraordinary. THE ROLE You'll keep our cloud platform, apps and AI agents fast, observable and resilient, using automation and AI to make reliability everyone's default. WHAT YOU WILL BE DOING - You'll run reproducible, multi-environment cloud infrastructure using Infrastructure as Code (IaC). - You'll build and own CI/CD pipelines, deployment checks and recovery procedures so shipping is fast and safe. - You'll set up logs, metrics, traces and alerts across apps, AI agents and their dependencies. Every alert will be one someone can actually act on. - You'll lead incident diagnosis, keep runbooks sharp and regularly test recovery, including safe automated rollback. - You'll automate repetitive ops work and use AI to speed up log analysis, root-cause hunting and fixes. - You'll make reliability a shared habit by documenting decisions, setting clear SLOs and helping teams own what they ship. WHAT WE ARE LOOKING FOR - Strong cloud operations experience, with deep hands-on CI/CD and IaC skills (e.g. Terraform). - Confidence diagnosing distributed systems through logs, metrics and traces, including when the clock is ticking. - Proven hands-on incident response experience. You've been on call, led the fix and written the post-mortem. - Solid scripting skills (e.g. Python, Bash, Go) and strong knowledge of networking, secrets management and service identities. - An AI-first approach to automation. You reach for AI tooling to remove toil, not add it. - Bonus points for GCP, Cloud Run, Pub/Sub, Airflow, Vercel, Supabase, Kubernetes or OpenTelemetry, plus SLO/error-budget experience. WHY YOU WILL LOVE IT 1. Real ownership: You won't just maintain someone else's setup. You'll shape how we build, ship and recover. 2. Cool stuff, at scale: Your work keeps games running smoothly for millions of players. 3. No-nonsense culture: We're direct, transparent and accountable. Conversations happen in open Slack channels, outcomes are documented in Monday.com http://Monday.com, and deadlines are agreed, not imposed. 4. Progress over perfectionism: We ship, learn and improve, and we don't wait for perfect. 5. Great people only: We have high standards, a strong team spirit and a strict no ass-hole policy. 6. Connected, wherever you are: We use Google Meet with cameras on, because we like actually knowing each other. EQUAL OPPORTUNITIES We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Chicago, New York City, London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines delivering data across DRW. As a Senior Data Engineer in our Unified Platform organization, you will design, build, and operate the data platform and managed services used by Traders, Quantitative Researchers, and Back-Office personnel. You will own engineering projects and service components, work directly with platform users to solve technical problems, and contribute to metadata management and governance capabilities. This is a hands-on role combining technical design ownership, software development, production support, and mentorship within the broader platform architecture. Key Responsibilities Design, build, and operate managed platform services for data storage, distributed query execution, batch and streaming processing, and workload orchestration. Own technical designs and implementation decisions for services and components within the broader platform architecture, and lead their delivery from requirements through deployment and support. Automate provisioning, configuration, upgrades, and monitoring for managed services, reducing manual operations and improving consistency across deployments. Build and integrate metadata management tools, including data catalogs and lineage tracking, to help users discover datasets and understand their structure, ownership, and dependencies. Implement schema governance, data quality checks, access controls, and usage tracking in line with established policies, working with security and data stakeholders on technical requirements. Work with users of managed services to diagnose integration and performance issues, clarify technical requirements, and improve the services their workloads depend on. Improve the reliability and performance of managed services and shared processing infrastructure through observability, capacity management, and testing. Participate in production support and incident response for these services, resolving root causes and maintaining operational runbooks. Deliver platform upgrades and data migrations with appropriate validation and compatibility checks to protect downstream workloads. Lead design and code reviews for the services you own, document technical trade-offs, and contribute improvements to architectural patterns shared across the team. Mentor less experienced engineers through hands-on collaboration and feedback, promoting maintainable code, automated testing, and sound operational practices. Required Qualifications 7+ years of experience working with modern data technologies and/or building data-intensive distributed systems. Expertise in Java and/or Python, with a proven ability to deliver high-quality, maintainable production software, and strong familiarity with SQL, Bash, and Linux environments. Experience building and operating managed data or infrastructure services offered to other teams, including operational automation and production support. Demonstrated ownership of engineering projects or service components from technical design through deployment and ongoing operation. Strong understanding of distributed systems trade-offs, including fault tolerance, concurrency, partitioning, and recovery from partial failures. Production experience with batch and streaming systems, including practical knowledge of state management, retries, replay, and data consistency. Experience with data processing or query technologies such as Flink, Spark, or ClickHouse , and the ability to evaluate their performance and operational trade-offs. Experience with multiple storage technologies, including object storage, relational or NoSQL databases, and event streaming systems such as Kafka. Familiarity with open table formats such as Iceberg or Delta Lake. Practical experience with data modeling, schema governance and evolution, and data quality controls. Experience integrating metadata management, data cataloging, or lineage capabilities into data systems. Experience with data formats and serialization systems such as Arrow, Parquet, Protobuf , or Avro. Experience with cloud-native data infrastructure, including Kubernetes, workflow orchestration, automated deployment, and production monitoring. Strong communication and problem-solving skills, with the ability to troubleshoot issues with platform users, collaborate across teams, prioritize competing work, and deliver in a fast-paced trading environment. Desirable Qualifications Experience extending or scaling data catalogs or lineage tracking tools across multiple storage and compute technologies. Experience implementing access controls, usage tracking, or other governance capabilities in shared data environments. Familiarity with financial datasets and the needs of trading, quantitative research, or back-office users. The annual base salary range for this position is $160,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. We are looking for a Security Engineer / DevSecOps professional to implement and improve security controls across our corporate infrastructure and new digital services, including AI solutions. Our environment combines Windows and Linux systems, private and cloud infrastructure, SaaS platforms, and internally developed applications and integrations. You will work closely with the CISO, DevOps, IT Operations, and project teams to identify technical risks, implement safeguards, automate security tasks, and verify that controls work effectively. We value practical engineering skills, independent problem-solving, and experience translating governance requirements into technical implementation. Reports to: Head of Cybersecurity (CISO) Role type: Hands-on individual contributor What you will do: Security monitoring and detection - Develop and implement a security monitoring roadmap, including requirements, architecture, and integration priorities. - Contribute to the selection and evolution of our SIEM/XDR architecture. - Integrate log sources and maintain reliable, complete, and useful security telemetry. - Develop and test detection rules, correlation logic, and threat-hunting queries. - Support incident investigation and improve response procedures. Vulnerability management - Implement a repeatable process for vulnerability discovery, validation, prioritisation, remediation tracking, and retesting. - Assess exploitability and business impact, considering exposure, asset criticality, and potential attack paths. - Develop remediation plans with IT and DevOps, track progress, and verify that fixes are effective. Secure service delivery and hardening - Review the security of service architectures, configurations, integrations, and CI/CD pipelines. - Develop technical checklists covering access controls, role models, credentials and secrets, network connectivity, external integrations, encryption, and logging. - Implement and automate secure configuration baselines. - Work with DevOps to assess security readiness before production launches and address identified risks. - Plan and validate security changes with attention to service availability and rollback options. Security automation and AI-assisted engineering - Build scripts and integrations for event analysis, configuration checks, vulnerability management, and reporting. - Use AI coding assistants and agent tools to support engineering tasks. - Validate generated code and findings, and protect credentials, access permissions, and corporate data throughout these workflows. AI security and governance implementation - Develop and apply security assessment checklists for corporate LLM services, AI assistants, agents, and their integrations. - Assess access to data and tools, execution isolation, and scenarios that could adversely affect information or systems. - Address risks such as prompt injection, data leakage, excessive permissions, and authorisation failures. - Translate agreed AI governance requirements into technical controls and verification steps. Security validation - Conduct authorised tests of attack scenarios and vulnerability exploitability. - Verify whether monitoring and protection tools detect or prevent the tested activity. - Use findings to improve configurations, detection coverage, and response procedures. What we are looking for: - Practical experience in Security Engineering, DevSecOps, or infrastructure/DevOps roles with substantial responsibility for production security. - Ability to own technical tasks from investigation and planning through implementation and validation. - Hands-on SIEM/XDR experience, including log onboarding, queries, detection rules, and alert investigation. - Practical experience with vulnerability management and system or service hardening. - Strong understanding of Linux, Windows Server/Active Directory, networking, authentication, and access controls. Deeper expertise in one environment is welcome, supported by working knowledge of the other. - Understanding of cloud, container, API, and CI/CD security, including secrets management. - Ability to review code, Infrastructure as Code, and configurations, and propose actionable improvements. - Scripting and automation skills using Python, PowerShell and/or Bash, APIs, and Git. - Practical use of AI tools for engineering tasks, with a disciplined approach to checking their output. - Ability to validate security weaknesses, explain their impact, and work constructively with technical teams on remediation. - English proficiency sufficient for technical documentation and vendor support. Experience working with governance - You should be comfortable translating security policies, risk decisions, and agreed requirements into configurations, technical checklists, and acceptance criteria. - This includes documenting control gaps, remediation plans, and compensating measures; providing evidence that controls have been implemented and tested; and escalating unresolved risks or exceptions through the agreed process. - The CISO sets security direction and priorities and coordinates risk decisions with accountable stakeholders. Your role is to provide technical analysis, implementation, and verification. Nice to have: - Experience with Cortex XDR, Microsoft Sentinel, or Wazuh; familiarity with XQL or KQL. - AWS or Azure security, Terraform, Ansible, and GitLab CI/CD. - Palo Alto, Google Workspace, Microsoft 365/Entra ID, or privileged access management solutions. - Experience implementing or testing AI agents, retrieval-augmented generation (RAG), or corporate LLM services. - Penetration testing, red teaming, adversary emulation, or purple teaming experience. - Experience providing technical evidence for audits or implementing controls within an ISMS/ISO 27001 programme. - Experience building practical security processes in a small team. How you will work You will partner with experienced DevOps and IT engineers, explain security issues with clear technical evidence, and help develop workable solutions. Priorities will be agreed with the CISO, with delivery sequenced according to risk and team capacity. We value demonstrated hands-on contribution and the ability to deliver verified improvements. Experience with every technology listed above is not required. What can we offer you? - Make a real impact on security. Take ownership of key security engineering initiatives, help shape security practices, and see the direct results of your work across the company’s infrastructure and digital services. - Build and improve, not just maintain. Get hands-on experience developing security monitoring, vulnerability management, and automation solutions, with the opportunity to influence technical approaches and tooling. - Combine offensive and defensive security. Apply a Purple Team mindset by identifying and validating vulnerabilities, testing detection capabilities, and turning findings into practical security improvements. - Explore AI Security and emerging technologies. Work with AI-powered security tools and contribute to securing new AI services, assistants, and integrations as the company expands its use of AI. - Expand your technical expertise. Gain exposure to diverse environments, including private cloud infrastructure, Linux and Windows systems, cloud platforms, and modern DevOps practices. - Work closely with security leadership. Collaborate directly with the Cybersecurity Lead (CISO) and experienced DevOps and IT engineers, with room for technical initiative, knowledge sharing, and professional growth. - Flexible remote work, with occasional in-person team meetings and collaboration sessions. - €600 learning and development budget to support your professional growth. - Flexible benefits allowance for sports, mental well-being, and leisure activities: €50/month for employees in Ukraine and other European locations, or €150/month for employees in Cyprus. - Medical insurance to support your health and well-being. - Coworking space reimbursement of up to €200/month in Europe.

Сопровождение и администрирование кластеров kubernetes (прикладные java, nodejs); Что важно:

Junior+ QA Manual Engineer Компания: Петрович-Тех Локация: РФ (гражданство обязательно) Формат работы: Удаленно Зарплата: до 135 000 gross Мы команда «Интеграции», ищем к себе в помощь уверенного QA Manual. Занимаемся тестированием интеграций между системами, полностью бэк-часть без UI.

Location: Las Vegas, United States Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: Москва Мы - команда высококлассных инженеров, которые строят платформу для инференса и SFT opensource LLM. Используем продвинутые cutting edge движки для инференса, много экспериментируем и боремся за каждую дополнительную единицу в Token thoughput. Cейчас мы разрабатываем и оптимизируем инфраструктуру инференса LLM-моделей. Обязанности ### **Вам предстоит** * разрабатывать и оптимизировать инфраструктуру инференса LLM-моделей для минимальной задержки и высокой пропускной способности внутренних приложений и сервисов * обеспечивать масштабируемость и надежность LLM-serving инфраструктуры; выбирать и настраивать инструменты для инференса (sglang, vLLM, llama.cpp) * разрабатывать механизмы разграничения доступов к API-сервисам моделей * строить систему observability и мониторинга LLM-инференс * собирать модели в сервисы и интерфейсы (FastAPI, Flask, Tornado, Streamlit, Chainlit и т.д.). Требования ### Мы ожидаем * опыт в роли devops от 2 лет * уверенные знания Linux: сеть, storage, роли/пользователи, менеджмент процессов. * владение Kubernetes (Istio Service Mesh) * опыт построения высокопроизводительных LLM-сервисов (sglang, vLLM) * опыт настройки высоконагруженных прокси-серверов (nginx, Envoy, HAProxy): load balancing, rate limiting, SSL termination, health checks * владение языками: Bash, Python, Groovy (Jenkins scripted) * продвинутые навыки в CI/CD и оркестрации моделей. ### Будет плюсом * опыт с AI-агентами * понимание распределенных систем и GPU-коммуникации (NCCL, MPI, RDMA, InfiniBand) * знание служебных компонентов LLM-пайплайна: токенизаторы, KV-cache, контекстное окно * понимание внутренней архитектуры GPU (CUDA, cuDNN, Tensor Cores) * Опыт работы с векторными БД (Opensearch, Qdrant, FAISS, pgvector) для RAG и других задач. Условия ### **Мы предлагаем** * гибридный формат работы (2-3 дня в офисе) * годовой бонус и ежегодный пересмотр * расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях * офис на Кутузовской с зонами отдыха и спортзалом * льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

созданием устойчивых систем и услуг с определенным уровнем обслуживания и безопасности; консультированием по вопросам проектирования безопасных информационных систем, планированием мощности, осуществлением поддержки VCenter ДКБ с решениями ИБ и SOC на ELK;

• Высшее профессиональное образование (бакалавриат, специалитет или магистратура) по направлениям: «Электроника и наноэлектроника», «Вычислительные машины, комплексы, системы и сети», «Программная инженерия», «Автоматизация технологических процессов и производств» или смежные специальности. • Опыт разработки встраиваемого программного обеспечения от 3 лет.