Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As an Engineering Manager on the Product Engineering team, you will lead the development of systems that power our AI platform and products. This role combines technical expertise with team leadership to ensure we build scalable, reliable solutions for millions of users.
Our product engineering teams, typically ten members, turn AI research into production systems. Your work will influence how our engineering organization operates and how we deliver products to developers and end users.
You will balance technical contributions with team management, partnering with Product Managers to align engineering work with business objectives. The role is key to maintaining engineering standards, clear processes, and consistent delivery.
What You Will Do
- Serve as the primary contact for your team, removing obstacles to execution.
- Own delivery of your team’s roadmap, ensuring projects meet quality and performance standards.
- Partner with Product Managers to define roadmap, scope initiatives, and drive prioritization.
- Contribute to architecture, system design, and code reviews, leading by example.
- Define and evolve team processes to maintain clarity as the team scales.
- Challenge engineers to take ownership and increase team resilience through knowledge sharing.
- Hold your team accountable for results and execution.
- Keep the team engaged in product direction.
What We're Looking For
- Technical expertise in building scalable systems.
- Experience leading engineering teams.
- Ability to balance technical work with team management.
- Experience partnering with Product Managers to align goals.
- Ability to build team culture and establish processes.
- Ability to improve engineering standards and ensure quality.
- Experience shaping engineering organizations.
- Experience turning research into production systems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
The Role
As a Backend Engineer on the Engineering team, you will build the core systems that power our AI platform. Our team develops the backend infrastructure and APIs that enable Studio, Vibe, and Vibe Code, shaping how millions of users and developers interact with our technology. Your work will directly affect the reliability, performance, and scalability of our products.
We focus on creating robust, high-performance systems that support authentication, billing, AI tooling, and developer experience. By joining us, you will contribute to a platform that enables both internal teams and external users to build and deploy AI applications.
What You Will Do
- Design, develop, and maintain scalable backend features and APIs that power our AI platform.
- Ensure high performance and reliability across distributed systems serving millions of users.
- Build and improve systems for authentication, billing, AI tooling, and developer experience.
- Design and implement secure, scalable architectures to support our growing products.
- Collaborate with infrastructure teams on deployment, monitoring, and performance optimization.
- Write clean, maintainable, and well-documented code.
- Partner with cross-functional teams to deliver end-to-end features.
- Solve complex engineering challenges and integrate new technologies into production.
What We're Looking For
- Experience designing and building scalable backend systems and APIs.
- Strong problem-solving skills and ability to tackle complex engineering challenges.
- Experience with distributed systems and performance optimization.
- Ability to write clean, maintainable, and well-documented code.
- Experience with system architecture and secure, scalable design.
- Strong collaboration skills and ability to work with cross-functional teams.
- Experience with modern backend frameworks and technologies.
- Eagerness to learn, iterate, and deliver products.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
The Applied AI for Defense team is Mistral’s specialized unit dedicated to delivering high-impact, secure AI solutions for institutions and organizations operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence.
Our team combines deep technical expertise with a rigorous approach to compliance and risk management, ensuring that every solution is both cutting-edge and fully aligned with the unique constraints of our partners.
Mistral AI is seeking an Applied AI Engineer to join this team. You will be responsible for the technical design, implementation, and deployment of AI solutions tailored to the needs of critical infrastructure and sovereign institutions. Your work will directly contribute to projects with significant societal and operational impact.
WHAT YOU WILL DO
• Individually deploy AI solutions into production for use cases with significant operational and strategic impact.
• Develop state-of-the-art GenAI applications tailored to the specific needs of sovereign institutions and critical infrastructure, driving technological transformation in collaboration with our customers.
• Work closely with our researchers, AI engineers, and product teams on complex customer projects involving advanced fine-tuning, LLM applications, and contributions to our open-source codebases for inference and fine-tuning.
• Participate in pre-sales discussions to understand the needs, challenges, and aspirations of potential clients, providing technical guidance on Mistral’s products and technologies to diverse stakeholders.
• Collaborate with our product and science teams to continuously improve our offerings based on customer feedback, with a focus on security, compliance, and performance.
HOW WE WORK IN APPLIED AI
• We care about people and outputs.
• What matters is what you ship, not the time you spend on it
• Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week.
• Always ask why. The best solutions come from deep understanding, not from copying what worked before
• We say what we mean. Feedback is direct, timely, and given because we care.
• No politics. Low ego, high standards.
• We embrace an unstructured environment and find joy in it.
ABOUT YOU
• Fluent in English.
• PhD or Master's in AI, Machine Learning, Computer Science, or related field.
• 2+ years of experience in AI/ML
• Proven track record of leading teams to deliver complex AI projects from prototyping to production.
• Deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale.
• Proficient in Python, PyTorch, and modern AI frameworks (LangChain, HuggingFace). Cloud platforms (AWS, GCP, Azure) and MLOps tools a plus.
• Strong software engineering skills: API design, backend/full-stack development, system architecture.
• Excels in technical communication with technical and non-technical audiences, including executives.
• Thrives in fast-paced collaborative environments and is passionate about mentoring technical talent.
IT WOULD BE GREAT IF YOU
• Have experience with React or other frontend frameworks.
• Have experience with Deep Learning in PyTorch
• Contributed to open-source projects in the LLM or AI space.
• Have experience in customer-facing roles with a focus on enterprise AI adoption.
SECURITY & COMPLIANCE CRITERIA
• Eligibility: must hold citizenship in the target territory (France for now).
• Clearable: must meet all local requirements for high-level security clearance (e.g., no criminal record, fulfillment of national service obligations).
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— написание и поддержка Api и Web автотестов на Python (в том числе smoke, интеграционные, e2e)
— анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов
— рефакторинг легаси автотестов
— работа с Jira (управление задачами, багами, релизами), анализ и ревью документации в Confluence
— взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
1. Обязательные требования:
— понимание теории тестирования (опыт работы ручным тестировщиком от 1 года)
— опыт разработки автотестов от 2 лет (Python 3 + Pytest)
— опыт работы с requests, pytest, Selenium или Playwright, SQLAlchemy, pydantic
— обязателен опыт работы с LLM
— опыт работы с Jenkins или с любым другим инструментом CI/CD
— опыт работы с GIT на уровне выше среднего, понимание gitflow
— понимание как устроены REST запросы, заголовки, параметры, тела запросов, виды аутентификации
— знание принципов ООП, паттернов разработки, умение писать масштабируемый код для дальнейшей разработки
— знание клиент-серверной архитектуры
— опыт работы с базами данных Postgres, Mongo
— опыт работы с kafka
— опыт работы с ELK / Grafana
— знание SQL (SELECT, JOIN)
— опыт проведения code review
— умение читать allure отчет
— опыт работы с postman/insomnia, devtools
2. Soft Skills:
— самостоятельность
— ответственность за качество продукта / своей зоны
— умение задавать вопросы и уточнять требования
— коммуникабельность
— умение работать в команде
— умение работать в условиях быстро меняющихся требований
— умение соблюдать договорённости и сроки
Условия:
— удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
— конкурентоспособная зарплата (оклад плюс бонусы)
— возможность использовать современные технологии
— полный соцпакет (включая добровольное медицинское страхование)
— обширный выбор образовательных программ и сертификаций за счёт компании
— программу льготного кредитования в Сбере
— скидки у партнёров компании
— шанс поучаствовать в масштабных инновационных проектах.
SuperPlay — разработчик мобильных казуальных игр (Dice Dreams). В 2024 году компания Playtika приобрела SuperPlay.
Требования к кандидату включают опыт работы с iOS, Android, Jira, Postman, TeamCity, TestRail и владение английским языком на уровне proficient.
Задачи:
— Автоматизация проекта с микросервисной архитектурой (более 80 микросервисов).
— Писать не только тесты, но уметь и в фреймворк авто тестов.
— Работа с асинхронным кодом, уметь писать и дебажить.
— Ручное тестирование в зависимости от задач спринта (от 30\70 до 70\30).
Обязанности:
— Ручное и автоматизированное тестирование UI, API, интеграционное тестирование микросервисов.
— Составление грамотных, понятных и однозначных баг-репортов в JIRA.
— Написание/обновление API авто тестов, их запуск и анализ результатов.
— Взаимодействие с аналитиками, разработчиками, администраторами для устранения ошибок.
Требования:
— 3+ года в роли QA Engineer web-приложений, API.
— Опыт в автоматизации API (PyTest) 2-3 года.
— Знание SQL на уровне написания простых JOIN.
— Знание WEB (Browser DevTools, HTML, JavaScript).
— Опыт работы с любым CI/CD.
— Понимание принципов работы клиент-серверной архитектуры.
— Твердое понимание принципов тестирования.
— Способность быстро учиться и адаптироваться к технологическим изменениям.
Условия:
— Полностью белый оклад выше среднего по рынку.
— Отсутствие дресс-кода и бюрократии.
— Рабочий ноутбук на выбор: Mac или PC.
— Покупка билетов до Кипра за счёт компании.
— Рабочая виза для сотрудника и гостевая виза для членов семьи.
— Предоставляем жильё на первый месяц.
— Медицинская страховка и мобильная связь.
— Помощь с переездом семьи из любого региона.
— Бесплатные обеды и напитки.
— Всегда полные корзины фруктов и всяких вкусняшек в офисе.
— Бесплатные курсы английского языка.
— Оплата занятий спортом.
— Помощь с оплатой школ и детских садов.
Задачи:
— Развертывание и поддержка облачной инфраструктуры в AWS (IaC через Terraform)
— Администрирование кластеров Kubernetes (EKS) и управление деплоем через Helm
— Настройка, оптимизация и защита пайплайнов в GitLab CI и GitHub Actions
— Внедрение инструментов сканирования уязвимостей (SAST/DAST) и управление секретами в HashiCorp Vault
— Настройка сквозного мониторинга и логирования (Prometheus, Grafana, ELK/Loki, Sentry), оперативное реагирование на инциденты
— Участие во внедрении и поддержании практик информационной безопасности по стандарту ISO 27001
— Настройка и поддержка веб-серверов (Nginx), управление VPN, SSL/TLS сертификатами и DNS
Требования:
— Уверенное знание Linux (Ubuntu/RHEL) и владение Bash для автоматизации
— Практический опыт работы с AWS (EKS, IAM, S3, RDS) и Ansible
— Глубокое понимание процессов контейнеризации (Docker, Kubernetes) и автоматизации CI/CD
— Понимание принципов сетевой безопасности, опыт работы с криптографическими протоколами и системами управления секретами
— Знание принципов и практический интерес к внедрению стандартов безопасности ISO 27001
Условия:
— Официальное оформление в соответствии с регламентом МФЦА (AIFC)
— График работы 5/2, гибкий гибридный формат (сочетание офиса в Алматы и удаленки) с гибким началом дня
— Стабильная заработная плата
— Интересные и динамичные digital-проекты (включая AI-интеграции и масштабные веб-платформы)
— Сильная техническая команда, минимум бюрократии и открытость к вашим технологическим инициативам
Задачи:
— Присоединиться к команде, отвечающей за облачное подключение, безопасность и управление парком устройств Hue Bridge.
— Участвовать в разработке новой инфраструктуры IoT совместно с облачными инженерами.
— Разрабатывать, тестировать и интегрировать программные компоненты Hue Bridge для встроенного Linux.
— Улучшать пользовательский опыт и операционные расходы на основе данных с устройств.
— Изучать и внедрять инновации в практики и процессы разработки.
— Исследовать возможности полного стека разработки IoT программного обеспечения, от устройств до облака.
— Разрабатывать с использованием различных языков программирования: C, C++, Bash, Python, C#, Go.
Требования:
— Сильные навыки проектирования программного обеспечения и способность создавать простые, надежные и элегантные системы.
— Опыт работы с подключением, сетями и IoT.
— Знания и опыт в области сетевой безопасности.
— Знания и опыт в разработке продуктов, основанных на данных.
— Глубокие знания и опыт работы с C и/или C++ и Linux (OpenWRT и/или Yocto); Rust и/или Python приветствуются.
— Готовность изучать новые среды разработки, языки и платформы.
— Хорошее знание английского языка.
— Умение работать в команде, проактивность.
Условия:
— Зарплата в долларах США.
— Медицинская страховка и покрытие спортивных активностей.
— 26 дней отпуска.
— 100% оплата больничных.
— 3 дня больничного в год.
— Тренинги и практика обмена знаниями.
— Корпоративная культура с ориентиром на людей.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're seeking an exceptional Research Engineer to join our Life Sciences team at Anthropic. Our team is organized around the north star goal of accelerating progress in the life sciences, from early discovery through translation, by an order of magnitude. Our team likes to think across the whole model stack. In this role, you'll combine your deep expertise in machine learning engineering to develop novel evaluation frameworks and training strategies that push the frontier of what AI can achieve in biology.
You'll work at the intersection of cutting-edge AI and the biological sciences, developing rigorous methods to measure and improve model performance on complex scientific tasks. You'll collaborate closely with world-class researchers and engineers to build AI systems that can engage in all phases of research and development, while maintaining our commitment to safety and beneficial impact.
Previous experience in life sciences is welcome, but not required for this role.
Minimum Qualifications
Demonstrated experience training and evaluating large language models
Proficiency in Python and familiarity with modern ML development practices
Experience building and managing data pipelines for large-scale datasets
Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
Strong written and verbal communication skills, with the ability to work independently while collaborating effectively across cross-functional teams
Preferred Qualifications
8+ years of machine learning experience
Prior work experience in AI and biology, including graduate studies (molecular biology, biochemistry, computational biology, or related fields)
Experience working with large-scale biological datasets
Published research or practical experience in scientific AI applications or long-horizon reasoning
Background in reinforcement learning and/or pretraining
Knowledge of containerization technologies (e.g., Docker, Kubernetes) and cloud deployment at scale
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
Contributions to open-source scientific software or databases
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$350,000
—
$500,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Разработка и настройка AI-функций продукта
— Работа с LLM, RAG, embeddings и векторными базами данных
— Интеграция OpenAI, Gemini, DeepSeek и других AI API
— Настройка промптов и улучшение качества ответов моделей
— Работа с учебными материалами и базой знаний
— Поддержка серверной части: Linux, Docker, логи, конфигурации и деплой
— Оптимизация скорости работы и стоимости AI-запросов
Требования:
— Опыт работы от 3 до 6 лет
— Уверенное владение Python
— Опыт работы с LLM, RAG и embeddings
— Опыт интеграции AI API
— Понимание FastAPI и REST API
— Опыт работы с Linux-серверами
— Владение Docker, Git, переменными окружения и инструментами работы с логами
— Умение доводить AI-функции до рабочего состояния в продукте
— Будет преимуществом: опыт работы с Qdrant, Pinecone, Weaviate, Chroma, PostgreSQL, Redis, TTS/STT, Telegram Bot API, Mini App, MLOps и компьютерным зрением
Условия:
— Официальное оформление по Трудовому договору или договору ГПХ (с самозанятым, ИП или физическим лицом)
— График работы 5/2
— Рабочий день: 8 часов
— Гибридный формат работы
— Выплата заработной платы два раза в месяц
— Возможность проектной или долгосрочной занятости
— Условия оплаты обсуждаются по итогам собеседования
Адрес:
Астана, улица Сарайшык, 5
Наша команда разрабатывает AI-продукты для управления талантами — от внешнего найма до внутренней мобильности. Мы автоматизируем ключевые этапы рекрутмента, чтобы сделать процесс быстрее и удобнее. Среди наших решений — ГигаРекрутер, AI-помощник для первичных интервью с кандидатами, и предиктивная система подбора внутренних сотрудников на роли и проекты. Это позволяет HR-партнерам и руководителям формировать кадровые резервы без участия рекрутера, усиливая команды и развивая бизнес.
Задачи:
— написание и поддержка Api и Web автотестов на Python (в т.ч. smoke, интеграционные, e2e)
— анализ allure отчетов прогона автотестов в CI, локализация и заведение дефектов
— рефакторинг легаси автотестов
— работа с Jira (управление задачами, багами, релизами), анализ и ревью документации в Confluence
— взаимодействие с командой разработки для уточнения логики работы сервисов
Требования:
1. Обязательные требования
— понимание теории тестирования (опыт работы ручным тестировщиком от 1 года)
— опыт разработки автотестов от 2 лет (Python 3 + Pytest)
— опыт работы: requests, pytest, Selenium или Playwright, SQLAlchemy, pydantic
— обязателен опыт работы с LLM
— опыт работы с Jenkins или с любым другим иструментом CI/CD
— опыт работы с GIT на уровне выше среднего, понимание gitflow
— понимание как устроены REST запросы, заголовки, параметры, тела запросов, виды аутентификации
— знание принципов ООП, паттернов разработки, умение писать масштабируемый код для дальнейшей разработки
— знание клиент-серверной архитектуры
— опыт работы с базами данных Postgres, Mongo
— опыт работы с kafka
— опыт работы с ELK / Grafana
— знание SQL (SELECT, JOIN)
— опыт проведения code review
— умение читать allure отчет
— опыт работы с postman/insomnia, devtools
2. Soft Skills:
— Самостоятельность
— Ответственность за качество продукта / своей зоны
— Умение задавать вопросы и уточнять требования
— Коммуникабельность
— Умение работать в команде
— Умение работать в условиях быстро меняющихся требований
— Умение соблюдать договорённости и сроки
Условия:
— удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха)
— конкурентоспособная зарплата (оклад плюс бонусы)
— возможность использовать современные технологии
— полный соцпакет (включая добровольное медицинское страхование)
— обширный выбор образовательных программ и сертификаций за счёт компании
— программу льготного кредитования в Сбере
— скидки у партнёров компании
— шанс поучаствовать в масштабных инновационных проектах.
Задачи:
— Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте;
— Обеспечение бесперебойной работы инфраструктуры и сервисов;
— Сопровождение bare-metal кластеров k8s;
— Сопровождение кластеров Clickhouse, Kafka, PostgreSQL, Aerospike;
— Автоматизация процессов;
— Обнаружение потенциальных проблем и участие в создании решения по их устранению;
— Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг;
Требования:
— Опыт администрирования Linux серверов;
— Опыт администрирования Kubernetes;
— Опыт администрирования ClickHouse, PostgreSQL, Redis;
— Опыт работы с брокерами сообщений (Kafka);
— Понимание принципов IaC;
— Prometheus stack;
— ELK/EFK;
Будет плюсом:
— Опыт работы с Aerospike;
— Опыт использования GitLab CI;
— Опыт автоматизации с помощью Ansible;
— Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.);
Условия:
— Отсутствие дресс-кода и бюрократии;
— Рабочий ноутбук на выбор: Mac или PC;
— Покупка билетов до Кипра за счёт компании;
— Помощь с переездом семьи из любого региона;
— Рабочая виза для сотрудника и гостевая виза для членов семьи;
— Предоставляем жильё на первый месяц;
— Медицинская страховка и мобильная связь;
— Бесплатные обеды и напитки;
— Всегда полные корзины фруктов и всяких вкусняшек в офисе;
— Бесплатные курсы английского и греческого языков;
— Оплата занятий спортом;
— Частичная оплата школ и детских садов.
Location: North Macedonia; Romania; Bulgaria; Albania; Croatia; Montenegro
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a Zoho Automation Engineer to serve as the architect of our digital workflows. In this role, you will be responsible for transforming complex business requirements into seamless, automated processes that drive efficiency across the entire organization. You will not just be managing a CRM; you will be building the engine that powers our operational growth and ensures our team stays ahead of the curve through cutting-edge technical solutions.
Key Responsibilities
Design, develop, and implement customized solutions within the Zoho One suite, with a primary focus on Zoho CRM, Desk, Books, and Projects.
Write custom functions using Deluge script to automate complex business logic and data processing.
Build and maintain robust integrations between Zoho and third-party applications via APIs and Webhooks.
Optimize system architecture to improve data integrity, user experience, and reporting accuracy.
Troubleshoot technical issues and provide expert-level support for internal stakeholders.
Audit existing workflows and identify opportunities for further automation or process improvement.
Requirements
Proven experience as a Zoho Developer or Automation Engineer with deep knowledge of the Zoho One ecosystem.
Mastery of Deluge scripting and a strong understanding of relational databases.
Hands-on experience building custom integrations and working with REST APIs.
Ability to map out complex business processes and translate them into technical workflows.
Strong problem-solving skills and the ability to work independently in a fast-paced environment.
Excellent communication skills to bridge the gap between technical execution and business needs.
Zoho Creator development experience.
Background in front-end technologies (HTML/CSS/JavaScript) for custom dashboarding.
Zoho Certifications (Certified Zoho Creator Developer or CRM Administrator).
Experience with Zapier, Make, or other middleware platforms.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the Canadian time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In Canada, the Base compensation range for this role is CAD
186,368
- CAD
223,642
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Staff Backend Engineer - Adaptive Telemetry, Databases
This is a remote position. We are looking for candidates in the USA time zones.
What is Grafana Cloud?
Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.
The Databases department owns and operates the telemetry databases that are
Mimir for metrics
,
Loki for logs
,
Tempo for traces
, and
Pyroscope for profiles
. We offer our databases as a Cloud service supporting Grafana Cloud.
Adaptive Telemetry Group
The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of
Adaptive Metrics
,
Adaptive Logs
,
Adaptive Traces
and Adaptive Profiles.
Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.
As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software.
What will you be doing:
Drive technical strategy and roadmap.
Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
Lead end-to-end delivery of large, cross-functional projects.
Own planning, design, execution, rollout and long-term operation of large initiatives.
Own architecture, reliability, performance and cost for critical systems.
Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
Define SLOs/SLIs and lead incident response.
Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
Improve observability, automation and operational readiness.
Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
Align stakeholders and remove blockers.
Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
Mentor and grow engineering talent.
Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
Represent engineering internally and externally.
Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
What makes you a great fit:
You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs
Proven delivery of large distributed systems.
Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
Strong systems-design instincts.
Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
Hands-on cloud and platform experience.
Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
Reliability and performance ownership.
Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
Excellent coding and design skills.
You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
Comfort with AI-assisted development.
We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
Experience with messaging and telemetry.
Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
Influence without authority.
Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
Strong communicator.
Clear written and verbal communication that works across engineers and non-technical stakeholders.
Compensation & Rewards:
In the United States, the Base compensation range for this role is USD
174,986
- USD
209,983
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: On-site in London (Visa sponsorship and relocation available).
Company: Seamflow is a venture-backed startup building systems to accelerate manual processes in physical industries like aerospace, healthcare, and energy.
What you will do:
— Design and build end-to-end mobile workflows from UI to local state and sync logic.
— Work directly with customers in the field to understand and translate real-world processes into software.
— Integrate AI-powered features, including LLMs and model-backed APIs, into mobile workflows.
— Develop and maintain production-grade cross-platform apps for iOS and Android.
— Own the entire product cycle from customer calls and spec writing to deployment.
Requirements:
— Strong experience with TypeScript and React Native.
— Proficiency in native mobile fundamentals (Swift/Kotlin) for modules like sensors and background tasks.
— Experience shipping and maintaining apps via App Store and Google Play.
— Ability to design for unreliable connectivity, including offline persistence and conflict resolution.
— Experience integrating AI systems (LLMs, agents) into production products.
— Must be based in or be able to relocate to London.
Nice to have:
— Founder or ex-founder experience.
— Background in early-stage or stealth startups (e.g., YC, EF, Antler).
— Experience as a forward-deployed or solutions engineer.
— Proficiency in Python for backend service development.
Culture & Benefits:
— High-ownership, high-trust environment with a world-class team from X, Google, and Amazon.
— Full relocation and visa sponsorship support.
— Provision of meals and professional tools.
— Fast-paced, in-person culture in London.
ОфисLondon
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Paris; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
