Вакансии

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Knowledge of Data processing systems (YT/Kafka/Hadoop) - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Nice to have - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

FunnelFox — no-code инструмент для роста дохода приложений через Web2App-воронки. Требования: — 7+ лет опыта работы с Python — опыт в платежных системах или биллинговой инфраструктуре — опыт работы с PostgreSQL, Docker, Kubernetes Размер команды – 50+. Формат работы: удалённо.

Location: Москва **ИТ B2C** — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно тебя! Мы — команда экспертов, объединённых общей страстью к искусственному интеллекту и рекомендательным системам. Наша главная задача — создание современной масштабируемой рекомендательной платформы, способной предвосхищать ожидания пользователей и предлагать персонализированные рекомендации на каждом этапе их взаимодействия с экосистемой Сбер. Наши решения охватывают широкий спектр отраслей: от финансов и e-commerce до индустрии развлечений и здравоохранения. Мы следим за развитием технологий, экспериментируем с новыми ML-подходами, внедряем их в платформу и доводим до конкретного применения в бизнесе. Мы ищем **Lead ML Engineer**, который будет отвечать за технологическое развитие направления рекомендательных систем и формирование единой инженерной и операционной среды для DS- и MLE-команд. В зоне ответственности — скорость и воспроизводимость проверки DS-гипотез, качество разработки и вывода моделей в production, а также надёжная эксплуатация ML-решений с предсказуемыми качеством и стоимостью. Обязанности * формировать технологическое видение и roadmap развития ML Engineering и MLOps в направлении рекомендательных систем, определяя ключевые инженерные приоритеты и точки роста * развивать единый жизненный цикл ML-решений — от формулирования и воспроизводимой проверки DS-гипотез до запуска моделей в production, мониторинга и дальнейшего сопровождения * создавать инженерные стандарты и практики, которые помогают командам выпускать качественные и надёжные модели: требования к коду и данным, тестированию, версионированию, документированию, релизам * управлять портфелем технологических инициатив, находя баланс между развитием новых возможностей, повышением надёжности и устранением архитектурных ограничений * повышать производительность DS/MLE команд за счёт автоматизации, стандартизации, переиспользуемых компонентов и упрощения пути от эксперимента до production * развивать применение GenAI в процессе создания ML-решений: находить наиболее перспективные сценарии, запускать пилоты и оценивать их влияние на скорость и качество разработки * повышать масштабируемость, надёжность и экономическую эффективность ML-инфраструктуры * развивать ML-инженеров и технических лидеров направления. Требования * опыт технического лидерства в крупном ML-направлении не менее двух лет: умение формировать технологическое видение и roadmap, а также доводить системные изменения до результата * глубокое понимание полного жизненного цикла ML-решений — от эксперимента и обучения модели до production, мониторинга, масштабирования и дальнейшего сопровождения * опыт проектирования и развития высоконагруженных ML-систем, включая batch-, streaming- и real-time-сценарии * опыт взаимодействия с продуктовыми, платформенными и инфраструктурными командами, включая согласование приоритетов и защиту потребностей своего направления * умение принимать решения в условиях конфликтующих приоритетов, объяснять компромиссы и доводить выбранные инициативы до результата * опыт people management в DS/MLE командах: найм и адаптация сотрудников, постановка целей, регулярная обратная связь, performance review, развитие и удержание специалистов, а также формирование среды для обмена знаниями и распространения сильных инженерных практик * опыт внедрения GenAI-инструментов в процессы разработки и оценки их влияния на скорость и качество работы команд. **Будет большим плюсом:** * опыт работы с рекомендательными системами, поиском, ранжированием, персонализацией или рекламными технологиями * практический опыт работы в роли Data Scientist: формулирование и проверка ML-гипотез, оценка качества моделей и участие в A/B-тестах. * опыт эксплуатации real-time ML-систем на масштабе миллионов пользователей и при строгих требованиях к latency и availability. **Стек технологий:** Python, PySpark, PyTorch, RePlay, GigaChat, Airflow, MLflow, Kubernetes, Redis, Kafka, S3, FastAPI и другие инструменты для разработки, обучения, внедрения и мониторинга ML-моделей. Условия * комфортный современный офис рядом с м. Кутузовская * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития   * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера

Location: 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. About the Role Location: Bengaluru (Hybrid mode) Exp: 3-15yrs We are looking for a Software Engineer to design, build, and scale internal platforms and software tools that power our infrastructure operations. You will treat operational challenges as software problems, developing clean services and developer platforms that make managing our global infrastructure reliable, fast, and effortless. Responsibilities Build Infrastructure Software: Architect, write, and maintain scalable services, APIs, and tools that automate infrastructure provisioning, configuration, and runtime operations. Streamline Developer Workflows: Develop platform software and self-service tools that reduce operational toil, enabling engineering teams to deploy and manage resources safely and efficiently. Drive Engineering Best Practices: Apply standard software engineering practices—including modular design, code reviews, automated testing, and CI/CD—to infrastructure codebases and tooling. Ensure System Reliability: Write observability frameworks, automated testing pipelines, and self-healing tools to maintain high availability and proactively catch operational failures. Collaborate Cross-Functionally: Partner closely with Security, Systems, and Product Engineering teams to integrate infrastructure software seamlessly across the application lifecycle. Desirable Skills, Knowledge, and Experience Demonstrable experience as a Software Engineer building production software, with an emphasis on backend systems, APIs, or developer platform tools. Strong proficiency in modern programming languages (e.g., Go, Python, Java, or Rust) with a track record of writing clean, testable, and maintainable code. Solid understanding of software design patterns, API architecture (REST, gRPC), and data structures applied to operational tooling. Hands-on experience with Infrastructure as Code frameworks (e.g., Terraform, Ansible) and programmatically interacting with infrastructure APIs. Strong analytical, debugging, and system troubleshooting skills to diagnose issues across both application logic and underlying infrastructure. Bonus Points Experience writing software that interacts with cloud providers (AWS, GCP, or Azure) or container orchestration platforms (Kubernetes, Docker). Familiarity with building robust CI/CD systems, automated integration testing, or continuous deployment tooling. Active contributions to open-source developer tools, CLI applications, or infrastructure platforms. 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: Remote - Bulgaria; Sofia, Bulgaria - Office About MariaDB MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. The Role You will be responsible for the development and testing of a highly scalable, geo-distributed, highly performant database solution. You should have experience working on distributed software solutions and have a strong background working with on-premise and cloud-based solutions. You will also be responsible for managing a number of Software Engineers on the project. Java Senior Software Engineer Here at MariaDB, we are seeking a highly motivated and experienced Java Senior Software Engineer to lead the development of our highly scalable, geo-distributed, and highly performant database solution. This role requires a strong background in distributed software solutions, experience with both on-premise and cloud-based environments, and proven leadership abilities. You’ll be joining a small, highly skilled team where your work will have a direct impact. Expect to dig deep into replication, sharding, concurrency, and performance optimization—making our systems faster, smarter, and more resilient. You’ll collaborate globally, contribute to open source, and push the limits of what a distributed database can do. What You’ll Do Ensure the scalability, performance, and reliability of the database system. Collaborate with cross-functional teams to define, design, and ship new features. Troubleshoot and resolve complex issues in distributed environments. Profile, debug, and fine-tune performance with tools like JFR, JMC, async-profiler and VisualVM—and your own tricks. Keep code clean and reviewable with Git. Develop and optimize the data structures for providing the best experience accessing data in high data-intensive scenarios. Implement the best way to store data to disk and send data over the network to other nodes (including failure handling and recovery after failures). Implement and integrate algorithms for high availability of the whole cluster. Investigate flaws in data consistency algorithms, which may require thorough debugging either on multi-node clusters and in low-level byte-represented data. What You Bring 4+ years of experience in Java programming. Deep knowledge of concurrency in Java and Java Memory Model and/or of concurrency model in other programming systems. Excellent Java SE knowledge including IO, JVM internals, etc. Experience with SQL databases. Experience in troubleshooting Java applications and/or databases. Excellent leadership, problem-solving, and debugging skills. Experience working effectively in fast-paced, collaborative environments. Deep SQL knowledge (MariaDB/MySQL/PostgreSQL/Apache Ignite/GridGain) and passion for distributed systems (Raft, MVCC, ACID, etc). Understands MVCC and P2PL, and the difference between Snapshot Isolation and REPEATABLE READ. The following may be a strong plus: Experience with NoSQL and/or distributed databases. Experience with building highload distributed systems and algorithms. Experience with Docker, Kubernetes and/or public Cloud (AWS, GCE, Azure, etc.) Open-source contributions, automation expertise, or performance/load testing. Active use of AI. Location Hybrid / Remote – Bulgaria Remote – Croatia, Estonia, Finland, Italy, Poland, Romania, Serbia, Spain, Armenia, Cyprus. Why You’ll Love It Here A globally distributed team where your work is tangible, valuable and appreciated. Remote or Hybrid work options (location dependent) Projects that stretch your skills and make an impact at scale. Competitive pay, 25 days paid annual leave (plus holidays), and a culture that values creativity and clean engineering. Compensation Salary Range : €74,200 - €90,000 per year (gross) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Argentina; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Full Stack Engineer to join a fast-moving product team building a leading technology platform that powers complex transactions through intelligent, autonomous systems. You'll own features end to end — from API design through to UI — working across a modern TypeScript stack with GraphQL, React, and a strong emphasis on backend services and data layers. WHAT YOU'LL DO - Own features end to end, from design through to implementation and release. - Design, implement, and modify GraphQL APIs — schemas, queries, mutations, and resolvers — using Apollo Server. - Design and evolve backend services, including data access and caching layers. - Modify and extend database schemas as needed using ORMs and query builders. - Build user interfaces using React and TypeScript. - Write and maintain unit tests. - Modify and add end-to-end tests using Cypress. - Participate in sprint planning, reviews, and retrospectives within a 2-week sprint cadence. REQUIRED SKILLS & EXPERIENCE - Strong experience as a full stack engineer with a track record of owning features across the entire stack. - Fluency in TypeScript — frontend and backend. - Hands-on experience with React in a production environment. - Experience building and modifying GraphQL APIs using Apollo Server. - Experience working with Docker for local development and service packaging. - Familiarity with ORMs — Prisma, TypeORM, Objection.js, or similar — and query builders; experience with Knex is a plus. - Experience using Redis and common caching patterns. - Comfortable working across the full stack — frontend, backend, and data layers. PREFERRED QUALIFICATIONS - Experience with Next.js. - Familiarity with AI-assisted coding tools such as Claude, Gemini, or Codex. - Exposure to Kubernetes, Terraform, and Helm. - Experience working in fast-moving, agile product teams. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Задачи: — Управление доставкой услуг по портфелю разнообразных клиентов/аккаунтов. — Работа с клиентами по установке, конфигурации и внедрению приобретённых продуктов и технологий. — Партнёрство с клиентами для быстрого понимания функционала продукта и оптимизации выгод. — Обеспечение клиентов процессами, техническими и экспертными консультациями на ранних этапах внедрения. — Ведение федеральных проектов с соблюдением моделей доставки CPS, процессов, методологий и стандартов безопасности (FedRAMP, FISMA, GovCloud). — Построение отношений с руководителями клиентов, партнёрами и интеграторами для успешной реализации. — Соотнесение возможностей продуктов Collibra с кейсами клиентов. — Помощь клиентам в уточнении бизнес-целей и разработке решений с использованием продуктов Collibra. — Разработка планов проектов на основе CPS Account Plan и инициатив клиентов. — Помощь клиентам в понимании их проблем и вызовов. — Содействие Solution Architect в сборе требований и предложении дополнительного функционала. — Предоставление федеральным агентствам адаптированных стратегий управления данными с лучшими практиками. — Эффективное информирование клиентов и заинтересованных сторон о статусе проектов. — Управление эскалациями, рисками, проблемами и изменениями в проектах. — Выявление и продвижение ценности и измеримых результатов в проектах. — Выступление доверенным советником и связующим звеном между внутренними командами и клиентами. — Взаимодействие с отделами продаж, инженерии, продукта, поддержки и руководством для согласования приоритетов. — Понимание платформы Collibra, операционной модели, рабочих процессов и интеграций. — Помощь в адаптации новых членов команды. — Консультирование по продуктам, решениям и процессам. — Обучение членов команды в ходе доставки услуг. — Совместная работа с руководством для улучшения процессов вовлечения и доставки. — Выявление возможностей расширения использования продуктов Collibra в клиентах. — Вклад в рост бизнеса CPS через расширение аккаунтов, стратегическое планирование и клиентскую поддержку. — Помощь клиентам в понимании дополнительных технологий и функций для увеличения ценности. Требования: — Гражданство США и проживание на территории США. — Опыт управления проектами услуг не менее 5 лет в поддержку федеральных агентств США. — Знания в области управления данными, качества данных или управления данными. — Активный уровень допуска безопасности (Secret/TS/TS-SCI). — Знание минимум двух-трёх областей: процессы управления данными, управление данными, мастер-данные, каталогизация данных, управление бизнес-правилами. — Понимание ведущих PaaS провайдеров, Data Lakes, баз данных и интеграционных платформ, используемых федеральными агентствами. — Опыт работы с AWS, Azure, Kubernetes, инфраструктурой и платформами. — Понимание API через Java, Python или аналогичные скриптовые языки для кастомных решений в Enterprise Linux или Unix. — Знание хранилищ данных, ETL и интеграции данных. Условия: — Стандартный базовый оклад от $96,000 до $120,000 в год. — Возможность дополнительной комиссионной оплаты. — Конкурентный пакет вознаграждений, включая бонусы, акции, ежемесячный Flex Fund, пенсионные планы 401k и другие преимущества. — Гибкая программа льгот, поддерживающая разнообразные жизненные ситуации. — Политика равных возможностей и инклюзивности в компании. Контакты для отклика отсутствуют в тексте.

Location: Singapore 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. As a Trade Support Engineer , you’ll have the opportunity to learn and grow while supporting our trading technology. You’ll work closely with trading, infrastructure, and software development teams to keep systems running smoothly. You’ll gain experience working with exchanges, traders, and developers to help resolve technical issues and assist with ongoing improvements. Qualifications & Skills: 1–3 years of experience in trade support, systems administration, site reliability engineering, or a related technical role (internships or projects count!) Bachelor’s Degree in Computer Science, Engineering, or related STEM field Basic understanding of networking concepts (TCP/IP, DNS, DHCP) and ability to use common troubleshooting tools Exposure to containerized applications (e.g., Docker, Kubernetes) is a plus Ability to think through and troubleshoot technical problems under time pressure Clear communication skills, written and verbal Familiarity with scripting languages (e.g., Python, Bash, PowerShell) for basic automation tasks Experience with Linux/Unix environments (basic command line skills) What You’ll Be Working On: Keeping trading systems healthy and available by proactively spotting and resolving potential issues Responding to trader and engineer request with both urgency and understanding of the bigger operational context Participating in the onboarding of new desks and systems, thinking ahead about how they’ll fit into the broader ecosystem Learning the trading environment deeply so you can anticipate challenges and suggest improvements What we Value: Intent over Instruction: we’ll share what we’re trying to achieve; you’ll help determine the best way to get there Responsibility and trustworthiness: you follow through and communicate progress and results clearly Continuous learning and adaptability: when conditions change, you adjust while keeping the mission in mind Collaboration: you seek input when needed but are comfortable making informed decisions yourself About You: You enjoy diagnosing problems and thinking creatively about solutions You’re excited about fast-moving environments and want to see your work make an impact quickly You learn by doing and feel comfortable diving into unfamiliar technology 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-PR1

Задачи: — быть CTO/Head of Engineering в новом продукте с нуля в сферах B2B, e-commerce или логистики. Требования: — опыт работы CTO/Head of Engineering от 3-х лет в B2B, e-commerce или логистических проектах; — практический опыт построения микросервисной или модульной архитектуры (DDD, API-first, event-driven); — глубокое понимание CI/CD, контейнеризации (Docker, Kubernetes) и облачной инфраструктуры; — опыт интеграции с 1С/ERP, WMS, CRM и платежными шлюзами; — разговорный английский на уровне B2; — стратегическое мышление и умение переводить бизнес-задачи на технический язык; — лидерские качества и опыт антикризисного управления. Условия: — удалённая работа.

Задачи: — Установка и администрирование виртуальных машин. — Развёртывание и сопровождение Kubernetes-кластера. — Разработка и поддержка CI/CD пайплайнов (GitLab). — Создание Helm-чартов и Ansible-плейбуков. — Мониторинг инфраструктуры (Zabbix, Prometheus, Grafana). — Ведение документации в Wiki. — Деплой приложений (сервисы, контейнеры). — Взаимодействие с разработчиками. — Диагностика и устранение проблем. — Предупреждение сбоев и обеспечение стабильности сервисов. Требования: — Опыт администрирования Linux (Ubuntu) от 3 лет. — Опыт с Kubernetes (или OpenShift) от 2–3 лет. — Знание Docker и Helm. — Опыт с VMware, AWS, GCP. — Навыки настройки CI/CD (GitLab). — Владение Git. — Опыт взаимодействия с разработчиками. — Знание PostgreSQL, Nginx, RabbitMQ, Zabbix. — Автоматизация через Ansible и скрипты (bash). — Анализ логов и работа с ними в Linux. Условия: — Работа в команде профессионалов, наставничество. — Динамичный бизнес с международными проектами. — Практика и развитие компетенций, индивидуальный план развития. — Удалённая работа из любой точки мира. — Официальное оформление по ТК РФ, возможна релокация в Сербию после испытательного срока. — Конкурентная заработная плата с возможностью роста. — Стабильная оплата с учётом всех выплат. — Гибкий график работы. — ДМС с первого рабочего дня, включая стоматологию.

Задачи: — Развертывание и поддержка full nodes (Ethereum, Bitcoin, Tron) — Настройка и сопровождение RPC, архивных и валидаторных нод — Обеспечение высокой доступности (HA), отказоустойчивости и масштабируемости инфраструктуры — Мониторинг состояния нод (Prometheus, Grafana) — Оптимизация производительности (disk I/O, RAM, CPU, network latency) — Управление обновлениями клиентов и форками сетей — Настройка резервного копирования и восстановления данных — Автоматизация процессов — Работа с облачной инфраструктурой (Hetzner, OVH, AWS, GCP и аналоги) — Обеспечение безопасности (firewalls, access control, DDoS protection) — Поддержка внутренних команд (backend, data, product) через RPC/API endpoints Требования: — Опыт DevOps/SRE от 3-х лет — Практический опыт работы с blockchain nodes — Глубокое понимание Linux (Ubuntu/Debian), networking и системного администрирования — Опыт работы с Docker, Kubernetes — Уверенное владение инструментами мониторинга и логирования — Опыт автоматизации (Bash, Python или Go) — Понимание принципов консенсуса (PoW, PoS, validators) — Опыт работы с high-load системами Будет плюсом: — Опыт запуска валидаторов и участия в staking — Работа с MEV, indexers, archive nodes — Знание специфики L2 решений (Arbitrum, Optimism, zkSync) — Опыт работы с Web3 API (Infura, Alchemy аналоги) — Понимание безопасности ключей и HSM решений Технологический стек: OS: Linux (Ubuntu) Containers: Docker, Kubernetes Infra: Terraform, Ansible Monitoring: Prometheus, Grafana Cloud: AWS / GCP / Hetzner Blockchain clients: Geth, Erigon, Nethermind, Bitcoin Core, Solana Validator

Задачи: — Работа с Docker и системами оркестрации контейнеров Kubernetes — Управление конфигурациями с помощью Ansible, ArgoCD и инструментов IaC Terraform — Построение CI/CD пайплайнов с использованием GitLab CI и Jenkins — Работа с системами мониторинга и логирования: Prometheus, VictoriaMetrics, Grafana, Loki, ELK — Администрирование Linux и сетевые взаимодействия в микросервисной архитектуре — Изучение новых технологий (мультиагентные фреймворки, RAG, MCP) и предложение улучшений — Понимание жизненного цикла AI-агентов и ML-моделей — Разработка и развертывание автономных AI-агентов с использованием MCP, RAG — Работа с платформами для оркестрации агентов и serverless-средами — Интеграция корпоративных систем (OneWork, SberSpace) — Интерес к искусственному интеллекту и агентным системам Условия: — Работа в стабильной компании с официальным трудоустройством по ТК РФ с первого дня — "Белая" заработная плата — Расширенный социальный пакет: ДМС (включая стоматологию), корпоративные скидки на фитнес, спортивные секции — Профессиональное обучение и развитие — Современная техника, мощный ноутбук предоставляется в день оформления — Формат работы: строго офис, Москва

Задачи: — Разрабатывать ML-модели (lookalike/response/uplift/recsys) для персонализации push/pull-коммуникаций, категорий кешбэка, рекламных материалов и других сценариев в цифровых каналах банка; — Визуализировать и интерпретировать результаты, дизайнить A/B-тесты, проводить пилоты; — Общаться с бизнесом и помогать решать задачи через данные и ML; — Проходить полный цикл разработки модели: от уточнения требований до продакшна и мониторинга качества (если каких-то навыков не хватает — поможем развить); — Разрабатывать AI-агентов. Требования: — Высшее техническое образование; — 3+ года опыта в Data Science (именно построение моделей, не только аналитика); — Уверенный математический аппарат: мат. статистика, теория вероятностей; — Продвинутый Python и SQL (оконные функции, подзапросы — на автомате); — Опыт работы со Scikit-learn, NumPy, Pandas/Polars, Matplotlib/Seaborn/Plotly, LightGBM/XGBoost/CatBoost, PyTorch/TensorFlow/Implicit/LightFM, Airflow, Git. Будет большим плюсом: — PySpark, Hive, Hadoop, Docker, Kubernetes; — Опыт в банковской сфере и CVM; — Модели склонности и uplift-моделирование; — Рекомендательные системы (RecSys); — NBA/NBO оптимизаторы (Next Best Action / Next Best Offer); — ИИ-сервисы (real-time, near real-time или batch). Условия: — Гибридный формат работы, Москва, Москва-Сити (2 дня в неделю в офисе); — Комфортный и современный офис; — Обучение за счет компании (посещение конференций, курсов, помощь в написании статей на Хабр и т.д.); — Вертикальное и горизонтальное развитие: регулярные тренинги, вебинары, митапы; — Забота о вашем здоровье: ДМС с первого месяца работы, куда входит стоматология; — Прозрачный доход по итогам интервью; — Дополнительные бонусы от Россельхозбанка для сотрудников группы компаний (Скидки на спортзалы, рестораны, маркетплейсы и т.д.).

Location: Japan 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 TAM Architect, you're the named technical lead for a small group of our largest customers. You carry the context of how they run ClickHouse, guide them from their first design decisions through production and growth, and make sure the rest of ClickHouse shows up for them when it matters. Your job is to keep them healthy, help them get more out of ClickHouse, and spot the next use case. You'll work inside our Support organisation and own escalations for your accounts, working closely with our support engineers. The role is based in Japan, close to our customers in Tokyo. Large enterprises are moving onto ClickHouse fast, and we're building out how we look after them. People joining now have a real say in how this role works.   WHAT YOU'LL DO - Run a regular cadence with 4 to 8 strategic accounts (weekly, fortnightly or monthly, depending on the project), plus quarterly health checks and business reviews, on site where it helps - Lead onboarding, where the decisions that are hardest to reverse get made: schema and data modelling, table engines, ingestion, migration and query design - Once customers are live, keep performance and cost on track as they grow, and help them onto new use cases - Work closely with Support: own escalations for your accounts, with regular case reviews and a direct line into L3 engineering - Work with the right people for each piece of work: partner with Solutions Architects on new use cases and proof of concepts, and bring in Consulting Engineers for hands-on projects - Write it down: documented setup and configuration, knowledge base articles and reference architectures that help other customers too WHAT YOU'LL BRING - 5+ years in a hands-on, customer-facing technical role after the sale, whether your title was TAM, solutions architect, professional services, senior support or something else - Specialist depth in data modelling, query performance and integration on distributed or analytical databases - Hands-on SQL. You regularly write complex queries from scratch, and tune and debug them yourself - Experience owning a small book of high-touch enterprise accounts, where you know each customer's architecture in depth - Hands-on cloud experience (AWS, GCP and/or Azure) - You've run distributed systems, such as distributed databases, in production - You explain technical trade-offs clearly, to engineers and to executives - Fluent English and Japanese NICE TO HAVE - Experience with ClickHouse, or with other analytical databases such as Snowflake, BigQuery, Redshift or Druid - Involvement in open source, as a user, contributor or community member - A working knowledge of Kubernetes GOOD TO KNOW - You'll be based in Japan. Travel to customer sites is part of the job, up to 35% of your time, mostly to customers in Tokyo - You'll join our APJ Support Services team, alongside Support Engineers and Consulting Engineers - You'll be part of the on-call rota, 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 four to five 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 - An in-person meeting with our local head of solutions architecture - 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.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Senior Data Engineer to join the Data Products team at Strava. The Data Products team sits at the core of Strava's AI strategy, turning Strava's unique community and activity data into reliable, reusable, enriched datasets that power experiences across the app. The team operates at the intersection of data engineering, ML platform engineering, and server engineering, building the pipelines and platform layer that let our proprietary embeddings, algorithms, and models reach athletes at scale. As a Senior Engineer, you'll build and operate the pipelines and access layer that turn raw data, algorithms, and models into production-ready data products used across the app. You'll work closely with ML engineers, data scientists, and product teams to ship data products with strong reliability, freshness, and clear contracts, and you'll contribute to the self-serve tools that make these products easier for other teams to build on. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU’LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of Geo and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide - Build and Operate Data Products: Develop and maintain the pipelines, APIs, and platform tooling that expose Strava's derived data products, including embeddings, ranking artifacts, clustering outputs, and enriched activity streams, as reliable, well-documented internal products. - Contribute to Self-Serve Tooling: Build components of the self-serve interfaces and golden paths that let product and CUJ engineering teams use core data products without deep ML or data engineering expertise. - Own End-to-End Data Product Delivery: Drive projects end-to-end, from pipeline design and artifact schema through production deployment and monitoring, ensuring correctness, freshness, and reliability of the data products you own. - Collaborate Across ML, Data Engineering, and Product: Work closely with ML engineers on integrating model outputs into durable, versioned artifacts; partner with Data Platform on compute patterns and cost efficiency; inform product teams on how to consume and leverage these capabilities. - Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features YOU WILL BE SUCCESSFUL HERE BY: - Treating Data Products as Products: Bringing engineering rigor, versioning, contracts, SLAs, monitoring, and deprecation paths to data artifacts and ML insights you own, so downstream teams can depend on them. - Owning Your Work End-to-End: Taking accountability for the reliability and correctness of the systems you build in production and their adoption by downstream teams, while staying aware of adjacent workstreams so dependencies and timing don’t stall the team’s momentum. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on artifact semantics, evaluation standards, and consumption patterns. - Contributing to the Standard: Helping establish best practices for data product development and operational health, and mentoring junior and mid-level engineers on the team. You love to stay current on emerging practices in backend and data engineering and apply them pragmatically, favoring what actually moves the team forward over novelty for its own sake. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU’LL BRING TO THE TEAM: - Experience building and operating complex, data-intensive backend systems in production at scale, with a track record of breaking large technical problems into well-scoped, executable work. - Demonstrated experience building access layers, platform tooling, or internal developer products ideally for large scale data or ML systems with a strong instinct for contract design, versioning, and self-serve patterns. - Experience building and maintaining production data pipelines and batch/stream workflows using technologies like Spark, Kafka, Flink, Iceberg, Snowflake, or similar. - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Scala, Go, or equivalent. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Comfort taking technical ownership within a project or team: making design trade-offs, coordinating with collaborators, and mentoring junior engineers and peers. - Eagerness to engage with ML concepts such embeddings, classification outputs, model evaluation, GenAI integrations. Bonus points if you are already an ML practitioner. - Strong communication and collaboration skills with the ability to work effectively with cross-functional partners. For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Toronto; San Francisco; Canada; United States; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Are you passionate about secure-by-design software engineering? Do you want to be at the forefront of AI innovation and enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role, you'll own and ship production security features that customers rely on every day. Your Role: As a Senior Software Engineer with a security focus, you'll play a pivotal role in building and securing North's architecture. Your responsibilities will include: - Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure - Secure Coding: Writing secure code to handle OIDC tokens, user claims, and sensitive data, adhering to best practices for JWT validation and encryption - Authentication and Data Protection: Implementing authentication mechanisms including user login, token management, and authorization checks to maintain data integrity - Tool Integration: Pulling in new tools to enhance North's security capabilities - DevSecOps: Design and implement secret management within Kubernetes clusters, including encryption and RBAC - Cross-functional Collaboration: Demonstrate strong soft skills to communicate security best practices to stakeholders in a clear and concise manner You may be a good fit if: - Have 5+ years building user-facing security features in production systems - Ship production Python confidently and frequently - Understand OIDC/OAuth 2.0, JWT validation, and token lifecycle management deeply—not just conceptually - Have hands-on experience with Kubernetes in both development and production environments - Have worked across GCP, AWS, Azure, or hybrid/multi-cloud deployments - Are comfortable working across the stack - Communicate security concepts clearly to non-security engineers and stakeholders - Thrive in fast-moving environments where priorities evolve - Experience working with AI/ML systems or LLM-based applications FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: • Разрабатывать и поддерживать автоматизированные тесты на C# для backend и frontend/UI; • Проводить функциональное, интеграционное и регрессионное тестирование; • Тестировать REST API, backend-сервисы и интеграции (включая микросервисы и Kafka); • Поддерживать и перерабатывать существующие BDD- и автоматизированные тесты, повышая их стабильность; • Анализировать результаты, локализовывать дефекты и взаимодействовать с разработчиками; • Развивать процессы автоматизации (интеграция автотестов в CI/CD, работа с инфраструктурой Docker/Kubernetes). Требования: • Обязательное физическое нахождение на территории РФ (рассматриваются граждане РФ и РБ); • Опыт работы в тестировании (QA / QA Automation) от 3 лет; • Практический опыт разработки автоматизированных тестов на C#; • Совмещение ручного и автоматизированного подходов к тестированию; • Практический опыт тестирования REST API и backend-сервисов; • Опыт интеграционного тестирования, понимание клиент-серверной архитектуры; • Уверенное владение SQL для работы с БД; • Опыт тестирования frontend/UI. Будет плюсом: • Опыт работы с микросервисной архитектурой; • Знание SOAP, Kafka, CI/CD, Docker и Kubernetes; • Опыт работы с BDD и существующими фреймворками автоматизации; • Готовность к различному соотношению manual/automation в зависимости от задач. Условия: • Официальное оформление; • Фиксированный оклад + квартальные бонусы (обсуждается индивидуально); • Удаленная работа из РФ или офис с предоставлением оборудования; • Гибкий график работы без микроменеджмента; • ДМС со стоматологией.

Задачи: — Проектировать, разрабатывать и обслуживать масштабируемые серверные системы для поддержки развертывания. — Создавать надежные и эффективные API в платформу GotIt. — Создавать системы хранения и поиска данных, оптимизированные для обработки больших объемов текстовых данных. — Выявлять проблемные места в производительности и оптимизировать серверные службы. — Внедрять передовые методы обеспечения безопасности для защиты конфиденциальных данных и соответствия стандартам. Требования: — Степень бакалавра или магистра в области компьютерных наук, инженерии или смежных областях. — Минимум 5 лет опыта в серверной разработке с упором на проектирование и внедрение масштабируемых систем. — Опыт серверной разработки на Kotlin или Java с переходом на Kotlin. — Опыт продумывания архитектуры приложения и проработки ключевого функционала. — Знание английского языка. — Опыт работы с реляционными базами данных (PostgreSQL) и разработка эффективных моделей данных. — Опыт проектирования и разработки RESTful API и использования WebSocket. — Знание облачных платформ AWS, Azure или Google Cloud и опыт управления серверными службами в облаке. — Понимание принципов DevOps и опыт работы с Docker, Kubernetes, CI/CD. — Знания в области машинного обучения (TensorFlow, PyTorch) являются плюсом. — Опыт работы с технологиями и платформами обработки естественного языка (NLP). — Опыт работы в Agile. — Вклад в проекты с открытым исходным кодом или участие в технических сообществах. — Опыт работы с технологиями больших данных, такими как Apache Hadoop или Spark. Условия: — Удаленная работа. — Частичная занятость. — Возможность присоединиться к международной команде на полный день. — Перспектива стать руководителем направления. — Возможность путешествий и переезда в США.