Вакансии

Задачи: — Держать платформу живой: мониторинг, разбор инцидентов, устранение сбоев; — Развивать функциональность на Next.js/React/TypeScript; — Отвечать за PostgreSQL — от миграций схемы до резервных копий; — Обеспечивать безопасность и изоляцию данных заказчиков; — Прокачивать ИИ-сценарии распознавания документов; — Спланировать и провести перенос инфраструктуры в Россию. Требования: — Опыт разработки на TypeScript/React/Next.js от 3–5 лет в реальных проектах; — Опыт работы с PostgreSQL в продакшене, включая миграции, ограничения, транзакции; — Умение находить причины ошибок по симптомам; — Спокойное отношение к ответственности за продакшн и инциденты; — Готовность разобраться в новой предметной области — строительном контроле. Условия: — Работа с продуктом целиком, возможность влиять на архитектуру без бюрократии; — Современный стек: Next.js 15, React 19, TypeScript, PostgreSQL, Supabase, встроенный ИИ для распознавания документов; — Амбициозная инженерная задача — миграция платформы на инфраструктуру в РФ с нуля; — Официальное трудоустройство или долгосрочный контракт на выбор; — Погружение в реальный бизнес, а не абстрактный enterprise-код в вакууме.

Задачи: — Отвечать на вопросы студентов в чате и помогать с трудностями на протяжении всего обучения. — Проводить воркшопы — онлайн-занятия по заданному шаблону с активным участием студентов, модерировать, инициировать диалог, отвечать на вопросы. — Помогать и направлять студентов ставить цели, рефлексировать, делать выводы и быть самостоятельными. — Проводить Q&A-сессии — онлайн-занятия свободной формы, где студенты задают вопросы по инструментам и специфике их использования. Требования: — Опыт работы с DevOps-инструментами от 3 лет. — Знание, что такое DevOps, зачем он был придуман и при каких обстоятельствах. — Широкий кругозор и насмотренность в IT, готовность передавать это студентам. Условия: — Удалённая работа. — Частичная занятость около 15 часов в неделю. — Вознаграждение около 35 000 ₽ в месяц. — Возможность освежить знания, реализовать потенциал и влиять на качество образования в индустрии. — Развитие мягких навыков: умение выступать публично, давать обратную связь, объяснять сложные вещи простыми словами и формировать безопасную образовательную среду. — Бесплатное обучение в Школе наставников и плавное погружение в сотрудничество. — Выдача сертификатов о социально-полезной деятельности. — Возможность писать статьи и участвовать в конференциях, мероприятиях и подкастах Яндекс Практикума.

Задачи: — Разработка и поддержка full-stack приложений с использованием Laravel, React и Next.js. — Интеграция AI-решений с использованием LLM и FastAPI. — Настройка и поддержка DevOps процессов, включая CI/CD, Docker и автоматизацию релизов. — Управление пользовательским контентом и файлами через S3 хранилище MinIO с использованием Laravel Spatie Media Library. — Организация безопасного хранения и выгрузки данных из Postgres, Surreal и S3 с шифрованием. — Реализация полнотекстового поиска с защитой данных. Требования: — Опыт работы 7 лет в full-stack разработке, DevOps и AI-интеграциях. — Уверенное владение Laravel, React, Next.js, FastAPI. — Опыт работы с базами данных PostgreSQL и Surreal. — Навыки настройки CI/CD, Docker, работы с S3 и MinIO. — Знание методов шифрования данных и безопасности. Условия: — Возможность работы full-time, part-time или по B2B. — Удалённый формат работы. — Зарплата от $2500 в месяц на руки (примерно $15 в час), обсуждаемо. Дополнительно: — Резюме доступно по ссылке: https://docs.google.com/document/d/1681p8QLtPeoIzDwnPKgVVHfL51F2Y1CsS_l73OQchBE/ — Контакт для связи: Telegram @ekangash — Примеры проектов и портфолио доступны на https://unstock.net и GitHub/GitLab.

Задачи: — Проектирование, развёртывание и развитие инфраструктуры платформы искусственного интеллекта (on-prem и облако): Kubernetes-кластеры, GPU-ноды, storage, сети, безопасность. — Построение и поддержка CI/CD/CT-пайплайнов для ML-моделей и сервисов: от артефакта DS до продакшн-инференса с откатами и канареечными релизами. — Интеграция и эксплуатация LLM/ML-сервисов для внутренних команд и рыночных внедрений: упаковка моделей в сервисы, конфигурация autoscaling, SLA, observability. — Настройка мониторинга и алертинга по инфраструктуре и моделям (метрики ресурсов, latency, ошибки, дрейф данных), реагирование на инциденты, участие в post-mortem. — Автоматизация ML-пайплайнов: подготовка данных, обучение, переобучение, регистрация моделей, управление версиями и окружениями. — Поддержка внедрений у клиентов: тиражирование платформенных компонентов, адаптация инфраструктуры под контур заказчика, участие в performance-оптимизации и cost-cutting (GPU/CPU). Требования: — Высшее образование. — Опыт работы: 5+ лет. — Глубокое понимание жизненного цикла ML-модели: от экспериментов до продакшн-инференса и мониторинга. — Уверенный Linux, сетевые основы, безопасность, работа с контейнерами и оркестраторами. — Опыт построения CI/CD-пайплайнов для сервисов и ML-артефактов (Docker images, модели, данные). — Опыт с LLM/GenAI-платформами: vLLM, TGI, Hugging Face, Triton/ONNX Runtime, оптимизация инференса. — Опыт построения feature store, model registry, ML pipelines (Kubeflow, MLflow, Airflow, Argo Workflows). — Работа в гибридной инфраструктуре: on-prem кластеры + публичные облака (T1 Cloud, VK Cloud, Yandex Cloud и др.). — Понимание cost-optimization: FinOps для GPU/CPU, автобалансировка нагрузок. — Языки: Python (утилиты, обвязка) / Bash. — Контейнеризация и оркестрация: Docker, Docker Compose, Kubernetes (Helm, Operators), желательно Kubeflow. — CI/CD: GitLab CI / GitHub Actions / Jenkins / Argo CD. — Инфраструктура: Terraform / Ansible, конфигурация Linux-серверов, Nginx, cert-manager. — Data/ML-инфраструктура: Apache Kafka, Airflow/Argo Workflows, S3-совместимые хранилища, MLflow/Weights&Biases. — Мониторинг и логи: Prometheus, Grafana, Loki/ELK, Sentry, alertmanager. Профессиональные навыки: — Проектирование и развёртывание инфраструктуры платформы ИИ (кластер Kubernetes, storage, сети, security) под LLM/ML-нагрузки. — Построение воспроизводимых ML-пайплайнов: обучение, валидация, packaging модели, деплой в batch и real-time режимах. — Настройка мониторинга моделей: метрики качества, дрейф данных, latency/throughput, автоматический rollback и retraining-триггеры. — Совместная работа с DS/разработчиками и внедренцами: перевод экспериментальных ноутбуков в надёжные сервисы для внутренних и внешних клиентов. Специализированные программы: — GitLab / GitHub, Jira / Confluence/Сфера — Kubernetes ecosystem: kubectl, Helm, K9s, Lens. — ML-инструменты: MLflow / Weights & Biases, Kubeflow Pipelines / Airflow, model registry. — Мониторинг: Prometheus, Grafana, Loki/ELK, Alertmanager, Sentry.

Location: Montreal 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. We are looking for a passionate S oftware Developer to join our infrastructure team. This software-focused role involves building the services, platforms and automation that support our engineering teams and production systems. You will develop reliable backend software, improve developer workflows and help operate scalable infrastructure in a predominantly Kubernetes-based environment. How you will make an impact Designing and building reliable backend services and infrastructure tooling using Python Developing and operating applications and services on Kubernetes Building automation that improves the deployment, operation and management of production systems Designing and maintaining CI/CD pipelines and developer workflows Working with relational databases and message-driven systems, including PostgreSQL and RabbitMQ Improving the scalability, reliability, performance and operability of distributed systems Collaborating with software developers and infrastructure specialists to solve challenging technical problems Contributing to technical design discussions, code reviews, testing and software architecture best practices Driving projects and leading new initiatives Migrating legacy workloads to Kubernetes Maintaining some legacy non-Kubernetes production infrastructure What DRW Montreal has to offer you Mentorship with experienced software developers, database administrators, and technical project managers Continuous learning through paid postgraduate degrees, Dev Lightning talks, online learning support and 1 on 1 language tutoring with Berlitz 40 hours of paid volunteer work at the organization of your choice Bi-weekly social activities, monthly wellness plan, on-site weekly massages, and games room Enjoy daily catered meals (breakfast and lunch) with unlimited snacks and beverages Competitive salary, matching RRSP, paid company phone, laptop, and work from home set-up What you bring to the team A bachelor's or a master's degree in computer science, Software Engineering or equivalent experience 3 to 7 years of experience building and operating software systems Strong Python development experience Hands-on experience deploying and operating applications on Kubernetes Experience designing and maintaining CI/CD pipelines Experience working with Linux systems Experience with relational databases such as PostgreSQL Experience with message brokers such as RabbitMQ Strong understanding of software engineering principles, testing and best practices Self-directed, proactive and able to drive work forward independently Strong verbal and written communication skills A collaborative team player and passionate problem solver with strong interpersonal skills Experience with observability practices and tools—including metrics, logging, tracing and alerting—is an asset 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-KS1]

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Software Engineer on Twilio’s platform engineering observability team. About the job This position is needed to help our platform engineering observability team. Twilio is undergoing a large-scale observability transformation—and you can help shape the foundation. Observability is a strategic pillar and a key enabler for faster incident response, deeper customer-centric insights, and more cost-effective platform operations. As a Software Engineer on the Platform Observability team, you’ll play a critical role in re-architecting how telemetry flows and is utilized through Twilio—making it structured, accessible, affordable, and actionable. Over the next 3 years, Twilio is rebuilding nearly every component of our observability platform, from data collection to real-time analytics. You will drive core initiatives that shift Twilio from fragmented tooling and wasteful data sprawl to a unified, OpenTelemetry-first observability stack built for scale. You’ll lead technically and strategically—designing platform components, influencing org-wide architectural decisions, mentoring engineers, and engaging directly with teams across Platform Engineering and R&D Responsibilities In this role, you’ll: Lead the end-to-end architecture and delivery of key observability platform components, with a focus on reliability, scalability, and usability. Drive consistency and quality across all observability signals—logs, metrics, traces, and continuous profiling—building intuitive workflows for engineers. Serve as a technical advisor and mentor across the platform org, guiding design decisions and aligning cross-team efforts with long-term architectural goals. Go deep in one or more problem areas (e.g., high-cardinality telemetry, distributed tracing correlation, compute cost insights), while ensuring the platform scales horizontally. Collaborate with product teams, SREs, and developer experience groups to deeply understand telemetry needs and integrate observability into core engineering workflows. Design and build developer-friendly tooling and APIs to support incident response, performance analysis, and platform debugging at scale. Leverage (and optionally contribute to) open-source standards like OpenTelemetry to ensure interoperability and extensibility. Champion a pragmatic approach to observability—balancing performance, cost, and user value across diverse engineering teams. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Proven expertise in building and scaling observability systems (e.g., logging platforms, metrics pipelines, tracing infrastructure, or profiling tools). Lead technical execution for major components of Twilio’s observability overhaul, including our shift to centralized S3-based data lakes, OpenTelemetry instrumentation, and ClickHouse-backed query engines. Proficiency in at least one modern programming language (e.g., Go, Python, Java). Familiarity with high-cardinality data challenges and telemetry correlation techniques. Experience designing high-scale telemetry systems (e.g., Prometheus, ClickHouse, OpenTelemetry, Kafka, or equivalent). Solid understanding of distributed systems and the challenges of observability in complex, microservice-based environments. Experience with AWS, Kubernetes, and infrastructure-as-code tools. Provide architectural guidance and thought leadership across teams, helping to establish clear telemetry standards, efficient usage patterns, and scalable platform abstractions. Ability to make forward-looking technical decisions and lead others through ambiguity and chan Desired: Familiarity with ClickHouse, Grafana Mimir, Athena, or equivalent systems for log and metrics querying. Contributions to open-source observability tools or communities. Experience building cost visibility or FinOps tooling for cloud compute and telemetry pipelines. Location This role will be remote from Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Paris; Amsterdam; Munich; London 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   Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!   Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   WHAT YOU WILL DO   • You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. • You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.   ABOUT YOU   • You are fluent in English • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field • You have 2+ years of experience in a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences IDEALLY YOU HAVE: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager • Familiarity with AI frameworks such as PyTorch or TensorFlow • Contributions to open-source projects, particularly in the space of DevOps or AI     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way. Design and maintain CI/CD and MLOps pipelines for AI/ML solutions. Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps. Automate infrastructure using Terraform, Bicep, or ARM templates. Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation. Set up monitoring, logging, alerting, and operational support for AI services and model endpoints. Support model versioning, release management, rollback, and production governance. Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams. Ensure solutions meet banking standards for security, auditability, resilience, and compliance. 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience. Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management. Experience with Azure Machine Learning and/or MLOps platforms. Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment. Experience with Docker, Kubernetes, and AKS. Experience with Infrastructure as Code: Terraform, Bicep, or ARM. Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana. Scripting skills in PowerShell, Python, or Bash. Experience working in regulated enterprise environments, preferably banking, fintech, or insurance. Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow. Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview. Understanding of AI governance, model risk, data privacy, and audit requirements. Experience with Microsoft security tools such as Defender for Cloud or Sentinel.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Participate in product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Implement AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. Fresh graduates with stellar internships or relevant extracurricular experiences can be considered. Must have a Software Engineering / Computer Science background, in order to work effectively with engineering teams. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Работа над мобильным многопользовательским шутером WELTKRIEG 1: Firestorm Требования по DevOps: — уверенное пользование Linux на уровне администратора — опыт решения инцидентов и поиска уязвимостей — знания модели OSI и понимание работы сетевого трафика — опыт работы с сервисами на уровне TCP/UDP приветствуется — уверенные знания Docker и Docker Compose — понимание работы Kubernetes (k3s, k8s, k0s и др.), опыт работы приветствуется — опыт работы с облачными провайдерами (Google Cloud, AWS, Yandex Cloud, Timeweb, Selectel и др.) — опыт работы с CI/CD: GitHub Workflows, GitLab CI/CD, Jenkins — умение работать с консольным Git Требования по Unity: — крепкое понимание Unity — хорошие знания C# — опыт сборки Unity-проектов под серверные окружения — опыт работы с Unity Dedicated Server / headless builds — опыт работы с сетевым решением Mirror — понимание особенностей multiplayer разработки — умение разбираться в логах, профилировать проблемы и находить причины нестабильной работы — умение писать поддерживаемый, понятный и тестируемый код Требования по Backend: — опыт разработки backend сервисов на C# / ASP.NET Core — понимание REST API и принципов проектирования API — опыт работы с PostgreSQL, MySQL или другими реляционными базами данных — понимание авторизации и аутентификации: JWT, OAuth, session-based auth или аналоги Будет большим плюсом: — опыт оптимизации серверной нагрузки — опыт защиты игровых серверов от злоупотреблений, DDoS, читов или нестандартного поведения клиентов Условия: — формат: полная занятость — локация: удалённо — работа над действующим мобильным multiplayer-проектом — возможность влиять на технические решения и развитие инфраструктуры проекта

Location: United States About Flosum Flosum is the 100% Salesforce DevOps, security, and data management platform — built on Salesforce, for Salesforce. We help enterprise teams ship faster, stay compliant, and protect their metadata and data across the entire release lifecycle. As Salesforce DevOps becomes mission-critical in the Agentforce era, we're investing heavily in community, content, and developer love — and that's where you come in. The Role We're hiring a Salesforce DevOps Evangelist to be the public face and voice of Flosum across LinkedIn, YouTube, and the global Salesforce ecosystem. You will make Flosum famous by building an authentic personal brand, connecting deeply with developers, admins, and architects, and turning Salesforce DevOps best practices into content people can't stop sharing. If you live and breathe Salesforce DevOps, post about it daily, and love being on camera — this role was built for you. What You'll Do Create daily LinkedIn content — posts, carousels, polls, and short-form video — that drives conversation around Salesforce DevOps, metadata, Agentforce, and release management Produce a steady stream of YouTube videos, livestreams, podcasts, and demo reels showing Flosum in action against real-world DevOps challenges Speak at Dreamforce, TrailblazerDX, World Tours, community user groups, and partner webinars — owning the stage as Flosum's technical storyteller Build hands-on demos and reference architectures that showcase Flosum's native CI/CD, backup, data masking, and Agentforce-ready workflows Engage authentically with the Trailblazer Community — comment, collaborate, and amplify other voices in Salesforce DevOps Partner with product and engineering to translate roadmap into compelling narratives, blogs, and launch campaigns Mentor customers and prospects on source-driven development, branching strategies, and DevOps KPIs like deployment frequency and change failure rate Represent the developer's voice internally — bring community feedback back to product to shape what we build next Requirements What You Bring 5+ years hands-on Salesforce experience: Apex, LWC, Flow, Metadata API, SOQL Deep expertise in Salesforce DevOps — CI/CD pipelines, Git source control, sandbox management, automated testing, and release orchestration Working knowledge of Agentforce and how AI agents intersect with DevOps, governance, and metadata A proven track record of building a personal brand on LinkedIn — you already post regularly and have an engaged following Comfort and charisma on camera — you can record a demo, host a livestream, or keynote a webinar without breaking a sweat Excellent written communication — your posts, blogs, and docs are crisp, opinionated, and useful Experience with Flosum, Gearset, Copado, Salto, or similar DevOps tooling Salesforce certifications (Platform Developer I/II, Application Architect, or DevOps-specific) strongly preferred Bonus Points Existing speaker history at Dreamforce, TDX, or major community events Active YouTube channel, podcast, or blog focused on the Salesforce ecosystem Salesforce MVP, Golden Hoodie, or recognized community leader status Experience launching developer programs, hackathons, or community initiatives Success Metrics — First 12 Months Grow Flosum's share of voice in Salesforce DevOps conversations on LinkedIn and YouTube Publish a consistent cadence of high-engagement content across owned and personal channels Deliver flagship talks at a minimum of 6 industry events including Dreamforce and TDX Drive measurable inbound interest — demo requests, trial signups, and community sign-ups attributable to evangelism Build a thriving Flosum developer community that customers and prospects want to be part of Why Flosum Be the most recognized voice in Salesforce DevOps — with a company that will invest in your brand Work alongside a passionate team that's defining the category natively on the Salesforce platform Remote-first culture with a real travel and content production budget

Location: United Kingdom About Flosum Flosum is the 100% Salesforce DevOps, security, and data management platform — built on Salesforce, for Salesforce. We help enterprise teams ship faster, stay compliant, and protect their metadata and data across the entire release lifecycle. As Salesforce DevOps becomes mission-critical in the Agentforce era, we're investing heavily in community, content, and developer love — and that's where you come in. The Role We're hiring a Salesforce DevOps Evangelist to be the public face and voice of Flosum across LinkedIn, YouTube, and the global Salesforce ecosystem. You will make Flosum famous by building an authentic personal brand, connecting deeply with developers, admins, and architects, and turning Salesforce DevOps best practices into content people can't stop sharing. If you live and breathe Salesforce DevOps, post about it daily, and love being on camera — this role was built for you. What You'll Do Create daily LinkedIn content — posts, carousels, polls, and short-form video — that drives conversation around Salesforce DevOps, metadata, Agentforce, and release management Produce a steady stream of YouTube videos, livestreams, podcasts, and demo reels showing Flosum in action against real-world DevOps challenges Speak at Dreamforce, TrailblazerDX, World Tours, community user groups, and partner webinars — owning the stage as Flosum's technical storyteller Build hands-on demos and reference architectures that showcase Flosum's native CI/CD, backup, data masking, and Agentforce-ready workflows Engage authentically with the Trailblazer Community — comment, collaborate, and amplify other voices in Salesforce DevOps Partner with product and engineering to translate roadmap into compelling narratives, blogs, and launch campaigns Mentor customers and prospects on source-driven development, branching strategies, and DevOps KPIs like deployment frequency and change failure rate Represent the developer's voice internally — bring community feedback back to product to shape what we build next Requirements What You Bring 5+ years hands-on Salesforce experience: Apex, LWC, Flow, Metadata API, SOQL Deep expertise in Salesforce DevOps — CI/CD pipelines, Git source control, sandbox management, automated testing, and release orchestration Working knowledge of Agentforce and how AI agents intersect with DevOps, governance, and metadata A proven track record of building a personal brand on LinkedIn — you already post regularly and have an engaged following Comfort and charisma on camera — you can record a demo, host a livestream, or keynote a webinar without breaking a sweat Excellent written communication — your posts, blogs, and docs are crisp, opinionated, and useful Experience with Flosum, Gearset, Copado, Salto, or similar DevOps tooling Salesforce certifications (Platform Developer I/II, Application Architect, or DevOps-specific) strongly preferred Bonus Points Existing speaker history at Dreamforce, TDX, or major community events Active YouTube channel, podcast, or blog focused on the Salesforce ecosystem Salesforce MVP, Golden Hoodie, or recognized community leader status Experience launching developer programs, hackathons, or community initiatives Success Metrics — First 12 Months Grow Flosum's share of voice in Salesforce DevOps conversations on LinkedIn and YouTube Publish a consistent cadence of high-engagement content across owned and personal channels Deliver flagship talks at a minimum of 6 industry events including Dreamforce and TDX Drive measurable inbound interest — demo requests, trial signups, and community sign-ups attributable to evangelism Build a thriving Flosum developer community that customers and prospects want to be part of Why Flosum Be the most recognized voice in Salesforce DevOps — with a company that will invest in your brand Work alongside a passionate team that's defining the category natively on the Salesforce platform Remote-first culture with a real travel and content production budget

Location: Romania About Flosum Flosum is the 100% Salesforce DevOps, security, and data management platform — built on Salesforce, for Salesforce. We help enterprise teams ship faster, stay compliant, and protect their metadata and data across the entire release lifecycle. As Salesforce DevOps becomes mission-critical in the Agentforce era, we're investing heavily in community, content, and developer love — and that's where you come in. The Role We're hiring a Salesforce DevOps Evangelist to be the public face and voice of Flosum across LinkedIn, YouTube, and the global Salesforce ecosystem. You will make Flosum famous by building an authentic personal brand, connecting deeply with developers, admins, and architects, and turning Salesforce DevOps best practices into content people can't stop sharing. If you live and breathe Salesforce DevOps, post about it daily, and love being on camera — this role was built for you. What You'll Do Create daily LinkedIn content — posts, carousels, polls, and short-form video — that drives conversation around Salesforce DevOps, metadata, Agentforce, and release management Produce a steady stream of YouTube videos, livestreams, podcasts, and demo reels showing Flosum in action against real-world DevOps challenges Speak at Dreamforce, TrailblazerDX, World Tours, community user groups, and partner webinars — owning the stage as Flosum's technical storyteller Build hands-on demos and reference architectures that showcase Flosum's native CI/CD, backup, data masking, and Agentforce-ready workflows Engage authentically with the Trailblazer Community — comment, collaborate, and amplify other voices in Salesforce DevOps Partner with product and engineering to translate roadmap into compelling narratives, blogs, and launch campaigns Mentor customers and prospects on source-driven development, branching strategies, and DevOps KPIs like deployment frequency and change failure rate Represent the developer's voice internally — bring community feedback back to product to shape what we build next Requirements What You Bring 5+ years hands-on Salesforce experience: Apex, LWC, Flow, Metadata API, SOQL Deep expertise in Salesforce DevOps — CI/CD pipelines, Git source control, sandbox management, automated testing, and release orchestration Working knowledge of Agentforce and how AI agents intersect with DevOps, governance, and metadata A proven track record of building a personal brand on LinkedIn — you already post regularly and have an engaged following Comfort and charisma on camera — you can record a demo, host a livestream, or keynote a webinar without breaking a sweat Excellent written communication — your posts, blogs, and docs are crisp, opinionated, and useful Experience with Flosum, Gearset, Copado, Salto, or similar DevOps tooling Salesforce certifications (Platform Developer I/II, Application Architect, or DevOps-specific) strongly preferred Bonus Points Existing speaker history at Dreamforce, TDX, or major community events Active YouTube channel, podcast, or blog focused on the Salesforce ecosystem Salesforce MVP, Golden Hoodie, or recognized community leader status Experience launching developer programs, hackathons, or community initiatives Success Metrics — First 12 Months Grow Flosum's share of voice in Salesforce DevOps conversations on LinkedIn and YouTube Publish a consistent cadence of high-engagement content across owned and personal channels Deliver flagship talks at a minimum of 6 industry events including Dreamforce and TDX Drive measurable inbound interest — demo requests, trial signups, and community sign-ups attributable to evangelism Build a thriving Flosum developer community that customers and prospects want to be part of Why Flosum Be the most recognized voice in Salesforce DevOps — with a company that will invest in your brand Work alongside a passionate team that's defining the category natively on the Salesforce platform Remote-first culture with a real travel and content production budget

Задачи: — Эксплуатация и развитие инфраструктуры UEM-платформы SafeMobile — Поддержка крупных инсталляций у заказчиков — Документирование типовых сценариев развёртывания и настройки — Интеграция с инфраструктурой заказчиков: AD/LDAP, SIEM, ServiceDesk, PKI — Формирование требований к продукту на основе опыта эксплуатации Требования: — Опыт эксплуатации MDM/UEM на парке от 1000 устройств — Практический опыт хотя бы с одной из платформ: VMware Workspace ONE / AirWatch, Microsoft Intune, SOTI MobiControl, Samsung Knox Manage, Ivanti / MobileIron, Headwind MDM, BlackBerry UEM или аналоги — Понимание Android Enterprise: Work Profile, Fully Managed, Dedicated Device, COPE — Понимание iOS-управления: Supervised, DEP / ABM — Уверенный Linux — Навыки написания скриптов на Bash и Python — Понимание принципов работы сетей, VPN и PKI Будет плюсом: — Опыт миграции между MDM-платформами — Опыт работы в отраслях с массовыми парками: ритейл, логистика, курьерские службы, нефтегаз, банки, здравоохранение, транспорт — Знакомство с Samsung Knox, Zebra MX, Honeywell, Urovo и другими корпоративными вендорами устройств — Опыт работы с устройствами на AOSP Условия: — Удалённый или гибридный формат — Трудоустройство в аккредитованную ИТ-компанию — Команда из 50+ инженеров, без лишней бюрократии — Прямое влияние на развитие продукта: ваш опыт ложится в платформу

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will be responsible for product planning and solution design for an enterprise-grade AI Native engineering platform, driving the deep integration of AI Agents, AI Coding, knowledge capabilities, and engineering platform systems. The goal is to build an intelligent product system covering requirement analysis, solution design, development collaboration, testing validation, environment orchestration, and knowledge accumulation.This role serves complex engineering processes and multi-role collaboration scenarios. You are expected to design AI product capabilities that can be embedded into workflows, measured for impact, and continuously evolved in real enterprise environments, enabling the product to scale from pilot adoption to broad organizational rollout. What You’ll Be Doing Lead the product planning, requirement analysis, and solution design of the AI Native engineering platform, and drive continuous product evolution and adoption. Develop a deep understanding of the end-to-end engineering lifecycle, and translate the core scenarios and collaboration patterns of product, design, engineering, QA, and operations teams into structured product solutions. Design AI Agent capabilities for engineering scenarios , including requirement analysis, solution generation, coding collaboration, test generation, environment orchestration, and knowledge accumulation. Drive the integration of AI capabilities with code repositories, CI/CD pipelines, testing platforms, deployment environments, and knowledge platforms to deliver a unified end-to-end product experience. Establish mechanisms for product effectiveness evaluation, user feedback, and continuous optimization , and support the product’s scale-up from pilot validation to broad adoption. What We Look For In You Bachelor’s degree or above , preferably in Computer Science, Software Engineering, Artificial Intelligence, or related fields. 6+ years of experience in ToB products, platform products, or intelligent product solutions. Must have an engineering background , such as software development, test development, architecture, or technical product roles, with the ability to work effectively with engineering teams. Strong understanding of DevOps , engineering productivity, software delivery processes, and quality systems , with the ability to abstract and productize complex workflows. Solid understanding of AI Agent product design , with the ability to design for task execution, workflow orchestration, result validation, and delivery closure. Familiarity with mainstream AI coding products, with strong hands-on experience or product understanding of Claude Code , Codex, Cursor , and Copilot , as well as context engineering, knowledge input, tool integration, human-in-the-loop collaboration, and governance considerations. Strong structured thinking, cross-functional collaboration, and execution skills; experience with engineering platforms, DevOps platforms, platform products, or intelligent products is a plus. Nice to Haves Experience with products related to AI Agents, RAG, knowledge graphs, Copilot, or intelligent workflows . Experience building engineering platforms, DevOps platforms, or platform products from 0 to 1 or from 1 to N. Hybrid background of engineering-to-product transition , or contributions to open source, communities, or public thought leadership in AI or engineering productivity. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role This is a ground-floor build, not a maintenance job. The foundation is real - a defined partner tiering model, a growing partner base, and two Partner Managers already running the MSP and VAR tiers day-to-day. What's missing is the person who turns that foundation into a repeatable, scaling engine: recruiting and activating the partners that actually move revenue, standing up the GSI motion from scratch, and making partner-sourced pipeline a forecastable line in Cast AI's growth. You'll manage and grow the PAM team, but you'll also carry your own strategic relationships - particularly at the GSI level - and be the person the Director of Partnerships and sales leadership turn to for how the channel is performing and where it's headed. As Cast AI scales past unicorn status, this is a genuine build-and-own mandate, not an inherited process to maintain. Requirements: Track record building or scaling a multi-tier partner programme (MSP, VAR, GSI, or similar) at a high-growth SaaS or cloud infrastructure company Direct experience with GSIs - you know how to structure and activate a relationship with a systems integrator, not just a reseller Proven experience managing a team of PAMs or a channel team - hiring, coaching, and performance-managing multiple direct reports, with the judgment to know when to let them run and when to get involved Excellent executive presence - able to represent Cast AI credibly with senior partner stakeholders and with internal sales/exec leadership Comfortable selling to and through DevOps, Platform Engineering, and FinOps personas; working familiarity with AWS, GCP, and Azure Hands-on with the mechanics of a channel programme: deal registration, joint account planning, QBRs, co-sell motions, partner incentives Background at a digital-native company, startup, or ISV preferred - someone who has scaled a channel function before, not just inherited one This role requires the candidate to be based in the U.S. Eastern or Central time zone to support close collaboration with our international teams. What You'll Own : You'll have full ownership of the Cast AI Channel Program - strategy, structure, and results. The GSI motion, built from the ground up - recruitment, executive relationship-building, and joint go-to-market planning with systems integrators A scaled strategy for MSPs and Cloud Consultants that turns the tier into its own revenue stream The PAM team, managed directly across territories, with room to hire and develop as the function grows Recruitment, onboarding, and activation across all three tiers, with direct focus on the top strategic MSP and VAR targets The operating cadence across the programme - QBRs, joint account planning, partner advisory input Program infrastructure - tiering criteria, incentive structures, deal registration process, enablement and certification content Cross-functional alignment with Sales, SEs, Marketing, Product, Finance, and Legal to keep channel strategy tied to company priorities What’s in it for you? Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. Enjoy a flexible, remote-first global environment. 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). Access UnitedHealthcare plans including medical, dental, and vision coverage. Equity options. Learning budget for your professional and personal growth. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: USA Workplace: Remote Remote, worldwide · Freelance course project with a path to full-time We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera. We’re looking for a machine learning practitioner who loves teaching to create and present ML courses for engineers, from foundations to training their own models. This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight, Coursera or YouTube, written a book, taught at a university or bootcamp, or regularly run workshops and talks. How it works - It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months. - The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects. - A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course. - Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team. What you’ll do - Shape the course with the curriculum team: sections, lessons, labs and notebooks. - Write lab specs that a dedicated labs team builds, then test them. - Write and narrate short, story-driven video lessons (about 6 minutes each) that make ML intuitive. You’re welcome to use AI to draft, but the final script should sound like you. - Record demo and lab-solution walkthroughs. - Work through structured editorial feedback, especially on your first section. Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching. What we’re looking for - Strong, hands-on ML foundations: you’ve trained, evaluated and shipped models yourself (scikit-learn, PyTorch or TensorFlow). - The ability to explain the “why” behind ML clearly to engineers new to it. - Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera. - A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it. - Current with the field and keen to keep learning. - Clear, engaging spoken English and confidence on camera. - Openness to an established teaching methodology and to editorial feedback. Nice to have - Published online courses, a book, or university/bootcamp teaching experience. - Experience with fine-tuning, MLOps or deploying models in production. - Cloud ML certifications (AWS, Azure, GCP, Databricks). How to apply Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.

Location: London, England, United Kingdom Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started. Join us as we build the future of autonomous infrastructure. About the role This is an opportunity to build a partnership ecosystem around a solution that every business needs - automated cloud native management. During the current recessionary and inflationary environment, companies are frantically looking for ways to reduce expenses. Few expenses are more burdensome than cloud costs. Cast AI has the perfect software solution, cutting clients' cloud bills in half or more. We are looking for a Partner Account Manager who is willing to turn the world upside down to make Cast AI the default cloud automation solution. With an objective, ROI-driven sale and a straightforward integration, Cast AI is the perfect opportunity for the right candidate to take a lifestyle-changing, rewarding, and exciting opportunity and help us build our partnership landscape. This role is primarily focused on EMEA North,with room to  expand into Central, with room to grow into wider EMEA over time. You'll be building the partner ecosystem for the region almost from the ground up - while the team and relationships already exist, this is very much a hunter role, focused on creating new go-to-market motion through the right partners. Requirements: Based in London, UK Strong existing relationships with regional Cloud/DevOps/Reseller partners Minimum 5 years partnerships experience Background at a digital-native company, startup, or ISV - someone who has seen a partner ecosystem being built and wants to build one themselves, rather than someone coming from a large enterprise environment Experience selling to DevOps/Engineering personas Familiarity with cloud platforms (AWS, GCP, Azure) Hunger for a fast-moving, agile, and scaling work environment Hard-working, independent, and self-driven work ethic - open to learning and feedback, yet reliable and independent in execution Team player, natural & relationship-first collaborator Willingness and ability to build a partner ecosystem from the bottom up Love of process, sales, wins, and challenges - driven by overcoming obstacles Excellent presentation skills and ability to create engagement in a meeting Responsibilities: Building, almost from the bottom up, our partner and reseller ecosystem across all partner types Creating partnerships with companies such as resellers, MSPs, and DevOps consultancies Driving toward a regional, active, working, and scaling pipeline of partner-sourced opportunities that impacts company-wide revenue results Collaborating across every part of the company - sales and SE teams, marketing and events, R&D and product, finance and legal What’s in it for you? Competitive salary Flexible, remote-first global environment Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options Learning budget for professional and personal development, including access to international conferences and courses Team-building budget and company events to connect with your colleagues Equipment budget to ensure you have everything you need Extra days off to help maintain a healthy work-life balance Potential for personal growth and promotion as the company grows and success drives more hiring and more opportunities Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.