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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. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: 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. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Istanbul ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. This role is full remote within CET ±3h. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games, while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the largest and most successful hybrid publisher in the world. Voodoo is creating a small experimentation team with a big mission: find the next best way to entertain the world by taking one of our best hits, Crazy Kick https://play.google.com/store/apps/details?id=com.orbitalknight.ridiculousfreekick&hl=en to a new level. ROLE As a Game Lead, you will be the owner of your game and team. Your mission will be to define the right direction, build the team, and drive execution with speed, focus and ambition. During the first 6 months, your main focus will be on improving the core gameplay: making the game more satisfying, juicy, exciting and fun to play, before scaling the rest of the product. You will: - Build and lead your own small team, starting with around 4 people - Set clear goals and make sure the team reaches them - Lead, inspire and motivate the people working on the game - Focus first on improving core gameplay, game feel, pacing and player satisfaction - Identify what makes the game fun today and what could make it much stronger tomorrow - Monitor and improve key game metrics such as retention, playtime, engagement and monetization - Be involved and hands-on across all aspects of game development: game design, level design, UI/UX, tech, art and product decisions - Continuously improve the internal process of game creation and iteration - Manage your team’s performance and growth, keeping a high talent bar and helping strong people develop PROFILE - 4 to 5+ years of experience in the gaming industry (Development, Product, Design, Art etc.) - Mobile F2P market experiences (in Design ideally), track record with a successful mobile game - A passion for mobile games and a strong understanding of core gameplay, game feel, player experience and iteration - A proactive, ownership-driven mindset - Strong leadership potential or previous team leadership experience - A data-driven approach to decision-making - The ability to move fast, test ideas, learn from results and iterate quickly - Strong English communication skills and the ability to align different crafts around a clear direction - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work BENEFITS - Best in Class compensation - Other benefits according to the country you reside.

Задачи: — писать интеграции AI-агентов с корпоративными системами — допиливать внутренние сервисы: авторизация, логирование, личные кабинеты, дашборды — собирать лендинги и продуктовые страницы из готовых блоков под брендбук — делать UI поверх AI-сервисов: дашборды, плагины для мессенджера, обучающие интерфейсы — поднимать сервисы в инфраструктуре компании, привязывать домены, чинить мониторинг — конкретный микс задач под сильные стороны и интересы кандидата Требования: — знакомство с LLM-харнесом (Claude Code / Codex / VS Code + Claude Code extension), понимание контекста, скиллов, sub-agents, MCP — базовый код: умение читать чужой Python / JS / TS-сервис, разбираться и вносить изменения — Linux, Docker, git на уровне уверенного пользования терминалом — самостоятельность в работе, умение декомпозировать задачи — английский на уровне чтения документации — будет плюсом: Next.js, React, TypeScript, Tailwind, shadcn/ui, Python, Node.js, опыт деплоя и работы с CI/CD, Figma, базовое SEO Условия: — формат работы: можно удалённо

Требуется разработчик с опытом работы на Java и Python для участия в проекте, направленном на создание платформы для обработки юридических документов и корпоративных данных. В рамках проекта применяются технологии LLM-агентов, RAG-поиска, MCP-инструментов, а также интеграция с внутренним веб-сервисом, построенным на Java/Spring. Основные обязанности включают разработку backend-сервисов на Python и Java, интеграцию LLM, внешних API и MCP-инструментов, реализацию RAG, embeddings и поисковых функций по документам, создание механизмов проверки результатов моделей, работу с PostgreSQL, Redis и файловыми хранилищами, написание тестов, настройку логирования и мониторинга, а также участие в проектировании решений и выводе функционала в production. Кандидат должен уверенно владеть Python и Java, иметь опыт разработки backend-сервисов и REST API, практические знания LLM или понимание принципов LLM-приложений, опыт работы с PostgreSQL, умение писать тестируемый код и разбираться в существующем коде, а также понимание вопросов безопасности и разграничения доступа к данным. Важна самостоятельность в решении задач и способность взаимодействовать с другими командами. Дополнительным преимуществом будет опыт работы с RAG, embeddings, семантическим или гибридным поиском, разработкой MCP-сервисов или LLM-agent систем, обработкой DOCX, PDF и Excel с использованием OOXML или Apache POI, оценкой качества ответов LLM, опытом в LegalTech, ContractTech или электронном документообороте, а также знание корпоративных или локально развёрнутых LLM. Проект рассчитан до конца 2026 года с возможным продлением на 2027 год, работа удалённая, зарплата от 200 000 рублей на руки.

Проект: Развиваем платформу для работы с юридическими документами и корпоративными данными. В проекте используются LLM-агент, RAG-поиск, MCP-инструменты и интеграция с внутренним веб-сервисом на Java/Spring. Продолжительность проекта: до конца 2026, плюс в планах пролонгация на 27г. Задачи: — Разработка backend-сервисов на Python и Java. — Интеграция LLM, внешних API и MCP-инструментов. — Реализация RAG, embeddings и поиска по документам. — Создание проверок результатов работы модели. — Интеграция с PostgreSQL, Redis и файловым хранилищем. — Написание тестов, настройка логирования и мониторинга. — Участие в проектировании решений и выводе функциональности в production. Требования: — Уверенное владение Python и Java (важно, чтобы кандидат занимался задачами AI на питоне и мог подключать их к решению на джаве). — Опыт разработки backend-сервисов и REST API. — Практический опыт работы с LLM или понимание основных принципов LLM-приложений. — Опыт работы с PostgreSQL. — Умение писать тестируемый код и разбираться в существующей кодовой базе. — Понимание вопросов безопасности и разграничения доступа к данным. — Готовность самостоятельно решать задачи и взаимодействовать с другими командами. Будет плюсом: — Опыт работы с RAG, embeddings, семантическим или гибридным поиском. — Опыт разработки MCP-сервисов или LLM-agent систем. — Работа с DOCX, PDF и Excel, знание OOXML или Apache POI. — Опыт оценки качества ответов LLM. — Опыт в LegalTech, ContractTech или электронном документообороте. — Знание корпоративных или локально развёрнутых LLM. Обязателен неймчек по образцу: Иванов Иван, Уровень - Senior, 1234@mail.ru (не корпоративная), Локация - Россия, Москва, Часовой пояс - (Мск), Опыт работы - 4+ лет.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal Role Summary Cloudflare MCP Server Portals give organizations a secure, centralized way to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will lead the design, delivery, and operation of distributed systems that authenticate users, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. You will own complex projects across service boundaries, make architectural tradeoffs for your area, and help other engineers deliver reliable, secure changes. You will work closely with engineers and product managers across Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are looking for a hands-on engineer who can bring clarity to ambiguous systems problems and take responsibility for outcomes in production. Role Responsibilities Lead the design, implementation, and operation of globally distributed services that connect MCP clients to authorized upstream MCP servers. Own complex features and service improvements from problem definition and design through implementation, rollout, observability, and production support. Shape technical decisions for MCP Portals, including service boundaries, security controls, compatibility, and tradeoffs among reliability, latency, and resource use. Evolve our implementation as the MCP specification changes, planning safe migrations for existing customers and integrations. Design and review authentication and authorization flows involving Cloudflare Access, OAuth, identity, credential handling, and delegated access to upstream services. Improve the reliability and scalability of multi-tenant systems built on the Cloudflare Developer Platform, using production data to identify and prioritize work. Strengthen observability through structured logs, metrics, traces, dashboards, and actionable alerts; participate in production support and incident response. Lead investigations of complex customer issues across services and teams, identify root causes, and drive fixes that prevent recurrence. Review designs and code, mentor engineers, and raise the quality of testing, deployment, and operational practices on the team. Partner with product, security, and engineering teams to turn customer needs and emerging standards into maintainable product capabilities. Role Requirements Must Have Skills 6+ years of experience building and operating distributed systems, backend services, network services, or infrastructure products in production. Demonstrated ownership of complex production services or projects, including architecture, implementation, rollout, and operational outcomes. Strong programming skills in TypeScript, JavaScript, Go, Rust, C++, or another language used to build production services. Deep understanding of HTTP, APIs, proxies, streaming connections, and distributed-systems failure modes. Experience with authentication and authorization technologies such as OAuth 2.0, OpenID Connect, JWTs, PKCE, or policy-based access control. Experience designing or operating security-sensitive systems, with sound judgment about identity, authorization, credential handling, concurrency, and state management. Ability to diagnose difficult production issues using logs, metrics, traces, error reporting, and customer-provided evidence, then drive durable fixes. Experience making backward-compatible changes to live systems and managing the risks of deployment and migration. Clear written and verbal communication skills, with the ability to explain technical tradeoffs, influence decisions across teams, and mentor other engineers. Applicants should provide a resume or CV describing relevant engineering, technical leadership, and operational experience. Nice to Have Skills Experience with the Model Context Protocol Familiarity with the Cloudflare Developer Platform or other serverless edge-computing platforms. Experience building gateways, forward proxies, identity systems, developer platforms, or Zero Trust and data loss prevention products. Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €66,000-91,000 Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Poland Workplace: Hybrid HI THERE!👋🏻 WE’RE TOOPLOOX 💎, A SOLVD INC. COMPANY We create AI-powered products and services that make a real difference. Our team of nearly 200 specialists - including a 40+ person R&D team with many PhDs - has pioneered AI solutions across industries from healthcare to e-commerce. We’ve published research in top-tier venues like NeurIPS and ICML, while delivering real-world applications that help our clients innovate and scale.   We are seeking a Senior Product Manager with strong leadership and strategic thinking to join our team and build innovative products and services powered by AI and autonomous agents. In this role, you will lead a strategic project focused on Customer Service transformation for a client in the banking sector, implementing AI and decision-making AI Agents. We value your ability to identify and prioritize business opportunities and to transform data and research into clear product strategies and roadmaps. You'll manage the entire process, from feasibility studies to scaling up, while ensuring smooth stakeholder communication and balancing client ambitions with delivery feasibility. If you want to have a real impact on how users interact with the technologies of the future, feel invited! What you will do: - Manage the end-to-end product vision and execution for AI-powered solutions, agents, and automated workflows designed specifically for customer support teams in a banking environment. - Own the translation from high-level solution design decisions into a clear, structured, and buildable backlog for the engineering team. - Review scope and technical estimates on behalf of the delivery team to ensure project roadmaps are realistic. - Map business processes, document clear requirements, and define acceptance criteria and UAT scenarios to ensure high-quality delivery. - Develop trustful relationships with stakeholders and ensure smooth cross-team communication. - Identify and prioritize business opportunities and advise clients on possible directions. - Validate ideas through experimentation to make fast, informed, de-risked decisions using continuous discovery approaches. - Lead a cross-functional team of experts in their field, from AI engineers to experienced designers. - Monitor productization of AI solutions from feasibility study through PoC to release and scale-up. - Stay current with the rapidly evolving field of AI, LLMs, and autonomous agent frameworks. Experience and skills you need to join us: - Hands-on experience delivering AI/ML-driven projects specifically for customer support/ customer service teams, or for automation of business or back-office processes. - At least 5 years in leading digital and AI products. - Strong sense of ownership, analytical skills, and deep product-oriented thinking to make decisions based on qualitative and quantitative data. - Solid background in working in a technical environment with cross-functional and remote teams, preferably international. - Practical experience with continuous discovery approaches (including various validation techniques) and experience in designing and executing project budgets. - Proven ability to work at the level of detail: process mapping, requirements documentation, acceptance criteria and UAT - not only strategy and roadmaps. - Excellent communication skills, both English and Polish, with the ability to effectively interact with stakeholders from all management levels. Nice to have: - Direct experience working within banking, fintech, or another highly regulated / formal setting. We would also need you to: - Be open to business trips. - Be ok with working with different time zones. - Accept irregular working hours depending on the product development phase. HOW WE WORK: At Tooploox 💎, you have the flexibility to choose your working hours ⏰ and location 📍. While we value remote work, we also believe in building relationships 🤝and invite you to join us in our Warsaw and Wrocław offices 🏢. Enjoy a relaxed atmosphere 🍃 and try some “home-made” pizza 🍕 from our office pizza oven. We love having pets 🐶 in the office, so feel free to bring yours along.😁 Join us and shape the future of AI while working the way you like!

Задачи: — Внедрение agent-assisted и SDD-практик в продуктовых командах; — Анализ кода и reverse engineering для спецификаций; — Исследования, пилоты и развитие Human‑in‑the‑Loop; — Создание микроинструментов и управление контекстом агентов…

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA FOUNDATIONS TEAM ⭐ At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way. - Being part of the Data Foundations team means you’ll build, maintain, and improve the Data Platform used by everyone at Alan. - We enable Alan’s data-driven nature and help our colleagues make the most of their data. - Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively. - We own and manage all data-related tools that power Alan. - AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance. We are building the foundations that allow Alan to make the most of this exciting new paradigm. - Alan is expanding quickly: we went from 4 to 6 countries this year and we won’t stop there. Our objective is to onboard new countries in weeks, not months. Having strong data foundations is a cornerstone of that expansion, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules. - Examples of our missions: - improve the developer experience when building and maintaining data pipelines, - enable reliable and secure access to our data warehouse for Alaners and AI agents, - strengthen security and governance around our data assets, - define and implement standard data practices across Alan, - maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth… - Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others. - Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them. - 3+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area. - Experience building and operating production data infrastructure: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code. - Experience designing systems, tools or libraries used by other engineers, scientists or analysts. - Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft. - Curious about AI and eager to use it thoughtfully to increase your impact. - Great listening and communication skills. - Humble, kind, collaborative, and still willing to grow (no matter your seniority!). - Fluent and clear in English, both oral and written (no need to speak French!). For this role, we are looking to hire within the C0-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learning or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21. #LI-DNP

Location: San Francisco; United States Workplace: Remote LOCATION AND TRAVEL You can be fully remote, based in the United States, preferably in San Francisco. We expect significant travel across the US, with occasional travel to other regions when the audience quality justifies it. The exact cadence will change with the event calendar, but you should expect travel to be a meaningful part of the job.   WHY THIS ROLE? Langfuse has grown mostly through product-led, open-source adoption. We built a strong product, wrote useful docs and examples, stayed close to users, shipped in public, and helped developers understand how to build better AI applications. However, many of the highest-signal moments happen in person: hallway conversations, workshops, meetups, dinners, conference demos, and technical talks. We want someone who can own that motion end to end; put Langfuse in the right AI engineering rooms, make the product clear to technical audiences, and turn in-person conversations into durable marketing momentum. The goal is not to do every event. The goal is to make the right events excellent, scalable, and measurable.   WHAT YOU'LL DO - Represent Langfuse at conferences, meetups, workshops, customer events, partner events, and community gatherings across the US. - Run live demos and technical sessions on tracing, evals, prompt management, datasets, metrics, and related LLM engineering workflows. - Build and maintain field-ready material: demo flows, workshop runbooks, talk abstracts, event landing pages, follow-up emails, signup flows, and conference-in-a-box assets. - Organize Langfuse-hosted meetups, workshops, dinners, and smaller technical gatherings around the highest-quality audiences. - Partner with ClickHouse field marketing, sales, solutions, product marketing, and engineering teams where it helps Langfuse show up well. - Turn event learnings into useful artifacts: better messaging, better demos, better docs, better talks, better customer stories, and sharper product feedback.   WHAT WE'RE LOOKING FOR - You have worked in DevRel, product marketing engineering, solutions engineering, field engineering, developer advocacy, or technical community roles. - You have spoken at developer conferences, meetups, workshops, webinars, or technical customer events. - You already create technical content, demos, videos, talks, open source projects, or educational material. - You should be excited to travel, give talks, run demos, host events, talk to developers and technical leaders, and bring what you learn back into the company. - You care about developer experience, open source, AI engineering, and the quality of the rooms you spend time in. - You are comfortable with ambiguity and can independently decide what to do before there is a mature playbook. - Excellent written and verbal communication skills, with the ability to articulate complex concepts clearly and concisely. A strong plus: - You are a former engineer, or deeply technical operator who can credibly explain software to experienced developers. - You can write code well enough to build, debug, and maintain demos or workshop material. - You are deep in AI engineering, LLM observability, evals, agents, or developer tools. - You have original opinions that experienced developers value. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Tokyo, Japan About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Key Responsibilities Delivery Leadership & Transformation Lead Japan's Professional Services team, managing and coaching a team of Consultants in transitioning from packaged onboarding delivery toward SOW-based implementation and advisory engagements. Oversee delivery quality across both implementation projects and advisory engagements, ensuring customer success throughout the full engagement lifecycle. Champion adoption of Workato's GEARS framework, and evolve delivery methodology to address Agentic AI and Enterprise MCP use cases. Drive continuous improvement of delivery processes, tools, and documentation to support scale and repeatability. Customer Engagement Engage in customer strategy sessions, QBRs, and executive engagements, articulating the business value of Workato's platform and services. Oversee escalation management, working cross-functionally with the account team and Product & Engineering to drive resolution and customer satisfaction. Support pre-sales efforts by clearly articulating the value of professional services and guiding customers through scoping and engagement design. New Services Development – Agentic AI & Enterprise MCP Spearhead the development and launch of Japan-specific services offerings focused on Agentic AI and Enterprise MCP, in alignment with Workato's global product direction. Work with global PS leadership to shape service packages, delivery methodologies, and go-to-market strategies for next-generation offerings. Team & Organization Building Recruit, onboard, and develop talent to build a high-performing, scalable Professional Services team in Japan. Establish clear career frameworks, performance goals, and development plans aligned with Workato's global Professional Services career framework. Foster a culture of accountability, customer focus, and continuous learning. Partner Ecosystem Development Build and manage a Japan partner ecosystem, leveraging SIers and consulting firms as delivery partners and channel partners to extend Workato's reach and delivery capacity. Enable and certify partners to deliver Workato implementations independently, driving scalable customer success across Japan. Collaborate with the Channel and Alliances team to align partner strategy with services growth objectives. Operational Excellence Track and report on key performance metrics including team utilization, customer satisfaction, and engagement health, providing regular updates to Japan and global leadership. Manage resource allocation across the team and partner network to optimize delivery capacity and quality. Contribute to pricing, packaging, and operational planning for Japan PS in collaboration with global teams. Requirements Qualifications / Experience / Technical Skills 12+ years of experience in professional services, technical consulting, or services leadership within a SaaS, iPaaS, or enterprise software company. 5+ years of leadership experience managing technical delivery teams, with a demonstrated track record of building and scaling organizations. Proven ability to build and maintain C-level relationships within Japan's enterprise market, with deep understanding of Japanese enterprise business culture. Strong technical fluency in integration, automation, and emerging Agentic AI / Enterprise MCP technologies — able to engage credibly in architecture discussions and translate complex concepts for executive audiences. Experience managing both SOW-based implementation engagements and advisory/consultative service models. Demonstrated success in building partner ecosystems with SIers and consulting firms in Japan, including partner enablement and co-delivery models. Excellent communication skills in both Japanese and English, with the ability to navigate seamlessly between customer-facing conversations and cross-functional global collaboration. Strong resource management and prioritization skills across a distributed team and partner network. Proactive, self-motivated, and comfortable operating in a high-growth, fast-moving environment with ambiguity. Nice to Have Hands-on experience with Workato or other leading iPaaS platforms (MuleSoft, Boomi, Tray.io, etc.). Familiarity with enterprise applications such as Salesforce, Workday, ServiceNow, SAP, or NetSuite. Experience in pre-sales or technical advisory roles within an iPaaS or automation context. PMP, Scrum, or Agile certification. Prior experience in a high-growth startup or scale-up environment. Track record of driving software expansion through professional services engagements. 職務概要 Workatoは、日本のプロフェッショナルサービス組織を率い、成長させるシニアマネージャーを募集しています。本ポジションは、オンボーディング中心のデリバリーから、Agentic AIおよびEnterprise MCPを軸とした大規模かつ複雑なプロジェクトへ移行する局面における、重要なリーダーシップポジションです。 日本のカスタマーサクセス ディレクターにレポートし、グローバルのプロフェッショナルサービス組織とも連携します。デリバリー品質、顧客経営層との関係構築、パートナーエコシステムの開発まで、日本におけるプロフェッショナルサービス機能全体を統括します。Workatoの次なる成長フェーズに向け、日本におけるプロフェッショナルサービスのあり方を設計・構築する中心的な役割を担います。 主な業務内容 デリバリーリーダーシップと変革 日本のプロフェッショナルサービスチームを率い、コンサルタントのマネジメントおよび育成を行う。パッケージ型オンボーディング支援から、SOW（作業範囲記述書）に基づく導入支援・アドバイザリー案件への移行を推進する。 導入プロジェクトおよびアドバイザリー案件のデリバリー品質を統括し、案件ライフサイクル全体を通じた顧客成功を実現する。 WorkatoのGEARSフレームワークの導入を推進し、Agentic AIおよびEnterprise MCPのユースケースに対応したデリバリー手法へと発展させる。 スケールと再現性を支えるため、デリバリープロセス、ツール、ドキュメントの継続的な改善を推進する。 顧客エンゲージメント 顧客戦略セッション、ビジネスレビュー、経営層向けエンゲージメントに参加し、Workatoのプラットフォームおよびサービスがもたらすビジネス価値を明確に伝える。 エスカレーション対応を統括し、アカウントチーム、プロダクト、エンジニアリングと部門横断で連携して、問題解決と顧客満足の向上を図る。 プロフェッショナルサービスの価値を明確に説明し、スコーピングおよび案件設計を支援することで、プリセールス活動を支援する。 新サービス開発 – Agentic AIおよびEnterprise MCP Workatoのグローバルなプロダクト戦略に沿って、Agentic AIおよびEnterprise MCPに特化した日本市場向けサービスの企画・開発・立ち上げを主導する。 グローバルPSリーダーシップと連携し、次世代サービスのサービスパッケージ、デリバリー手法、Go-to-Market戦略を策定する。 チーム・組織づくり 人材の採用、オンボーディング、育成を通じて、日本で高いパフォーマンスを発揮し、拡張可能なプロフェッショナルサービスチームを構築する。 WorkatoグローバルのPSキャリアフレームワークに沿って、明確なキャリア体系、パフォーマンス目標、育成計画を整備する。 オーナーシップ、顧客志向、継続的学習を重視する文化を醸成する。 パートナーエコシステムの開発 SIerおよびコンサルティング会社をデリバリーパートナーおよびチャネルパートナーとして活用し、日本におけるWorkatoの市場到達力とデリバリー能力を拡張するパートナーエコシステムを構築・管理する。 パートナーがWorkato導入を自律的に提供できるよう、イネーブルメントおよび認定プログラムを推進し、日本全体でスケーラブルな顧客成功を推進する。 チャネル・アライアンスチームと連携し、パートナー戦略とサービス成長目標を整合させる。 オペレーショナル・エクセレンス チーム稼働率、顧客満足度、案件健全性などの主要KPIを追跡・報告し、日本およびグローバルのリーダーシップに定期的なアップデートを提供する。 チームおよびパートナーネットワーク全体のリソース配分を管理し、デリバリー能力と品質を最適化する。 グローバルチームと連携し、日本PSにおける価格設定、パッケージング、オペレーション計画に貢献する。 応募要件 必須資格・経験・技術スキル SaaS、iPaaS、またはエンタープライズソフトウェア企業における、プロフェッショナルサービス、テクニカルコンサルティング、またはサービス組織のリーダーシップ経験12年以上。 技術デリバリーチームのマネジメント経験5年以上。組織を構築し、拡大した実績があること。 日本のエンタープライズ市場においてCレベルの関係を構築・維持した実績があり、日本企業のビジネス文化を深く理解していること。 統合、オートメーション、ならびに新興のAgentic AI／Enterprise MCP技術に関する高い技術的知見を有し、アーキテクチャに関する議論に信頼性をもって参加できること。また、複雑な概念を経営層向けに分かりやすく説明できること。 SOWベースの導入案件と、アドバイザリー／コンサルティング型のサービスモデルの両方をマネジメントした経験。 日本においてSIerやコンサルティング会社とのパートナーエコシステムを構築した実績。パートナーイネーブルメントおよび共同デリバリーモデルを含む。 日本語・英語の双方で優れたコミュニケーション能力を有し、顧客対応とグローバルな部門横断コラボレーションを円滑に行えること。 分散チームおよびパートナーネットワーク全体にわたる、強力なリソース管理・優先順位付け能力。 主体性と自走力があり、不確実性を伴う急成長・変化の速い環境での業務に適応できること。 歓迎要件 Workato、または主要iPaaSプラットフォーム（MuleSoft、Boomi、Tray.ioなど）の実務経験。 Salesforce、Workday、ServiceNow、SAP、NetSuiteなどのエンタープライズアプリケーションに関する知識。 iPaaSまたはオートメーション領域におけるプリセールス、またはテクニカルアドバイザリーの経験。 PMP、Scrum、またはAgileの認定資格。 急成長中のスタートアップまたはスケールアップ企業での経験。 プロフェッショナルサービス案件を通じて、ソフトウェア導入拡大・利用拡大を推進した実績。

Location: Estonia - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike relies on a dynamically changing set of integrated SaaS tools, and securing them requires dedicated, end-to-end ownership of their data security posture. Asking questions like what data is collected, why, how long it’s retained, and how it flows between systems. As Business Systems Security Analyst, you will own this space by establishing continuous data governance, SaaS integration governance, and identity & access management across our business systems. Helping Wrike stay proactive and prevention-focused rather than reactive. Your Impact: Own data governance across business systems: what’s collected, why, retention, and data flows between systems Govern SaaS integrations: inventory, risk assessment, and secure onboarding/offboarding of third-party tools Manage and review access provisioning and deprovisioning across integrated SaaS platforms, ensuring least-privilege principles are enforced throughout the identity lifecycle Oversee SSO configurations, OAuth scopes, and service account permissions across business-critical systems, identifying overprivileged accounts and stale access Monitor and help harden the security posture of business-critical SaaS platforms and their connected tools Conduct periodic access reviews and certifications for SaaS platforms, with a focus on privileged and third-party system accounts Conduct security reviews of integrations from a data flow perspective before they connect to business-critical systems, including evaluating IAM implications such as API keys, OAuth tokens, and service accounts Partner with system owners to remediate risks and embed security into business processes Focus on AI-driven integration workflows: MCP, A2A, and emerging agent-based protocols Your Qualifications: Experience securing SaaS business platforms and their integrations, including identity and access management across those environments Solid understanding of data governance principles: data classification, retention, and data flow mapping Technical hands-on skills: ability to independently investigate configurations, permissions, API connections, and logs across SaaS platforms Knowledge of integration best practices: secure API design, least-privilege service accounts, token/secret management, and integration lifecycle management Understanding of AI tooling and its security implications: how AI-powered tools access, process, and store business data Experience with third-party/vendor risk assessment and SaaS security posture management Ability to work cross-functionally with business system owners (Sales Ops, Marketing Ops, RevOps) Standout Qualities: Hands-on experience with SSPM tools or Salesforce security tooling Familiarity with OAuth/API integration security and supply-chain risk Experience with AI-driven data flows and integrations (e.g., MCP, A2A, agent-based workflows) Knowledge of Salesforce is a strong plus Team Dynamics: You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. Collaborative environment working closely with RevOps, Legal, and Marketing teams. Hybrid mode. Benefits & Perks: 28 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Health Insurance (Employees + Dependents) Life Insurance Plan Utility Allowance (30 EUR/month, subject to taxation) Fitness Plan (800 EUR/year) Full-remote & On-demand access to Co-working space What's Next? Recruiter Screen (30 mins) Department Interview / Technical Discussion (60 mins) Cultural Interview with Hiring Manager, CISO, and HRBP Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike relies on a dynamically changing set of integrated SaaS tools, and securing them requires dedicated, end-to-end ownership of their data security posture. Asking questions like what data is collected, why, how long it’s retained, and how it flows between systems. As Business Systems Security Analyst, you will own this space by establishing continuous data governance, SaaS integration governance, and identity & access management across our business systems. Helping Wrike stay proactive and prevention-focused rather than reactive. Your Impact: Own data governance across business systems: what’s collected, why, retention, and data flows between systems Govern SaaS integrations: inventory, risk assessment, and secure onboarding/offboarding of third-party tools Manage and review access provisioning and deprovisioning across integrated SaaS platforms, ensuring least-privilege principles are enforced throughout the identity lifecycle Oversee SSO configurations, OAuth scopes, and service account permissions across business-critical systems, identifying overprivileged accounts and stale access Monitor and help harden the security posture of business-critical SaaS platforms and their connected tools Conduct periodic access reviews and certifications for SaaS platforms, with a focus on privileged and third-party system accounts Conduct security reviews of integrations from a data flow perspective before they connect to business-critical systems, including evaluating IAM implications such as API keys, OAuth tokens, and service accounts Partner with system owners to remediate risks and embed security into business processes Focus on AI-driven integration workflows: MCP, A2A, and emerging agent-based protocols Your Qualifications: Experience securing SaaS business platforms and their integrations, including identity and access management across those environments Solid understanding of data governance principles: data classification, retention, and data flow mapping Technical hands-on skills: ability to independently investigate configurations, permissions, API connections, and logs across SaaS platforms Knowledge of integration best practices: secure API design, least-privilege service accounts, token/secret management, and integration lifecycle management Understanding of AI tooling and its security implications: how AI-powered tools access, process, and store business data Experience with third-party/vendor risk assessment and SaaS security posture management Ability to work cross-functionally with business system owners (Sales Ops, Marketing Ops, RevOps) Standout Qualities: Hands-on experience with SSPM tools or Salesforce security tooling Familiarity with OAuth/API integration security and supply-chain risk Experience with AI-driven data flows and integrations (e.g., MCP, A2A, agent-based workflows) Knowledge of Salesforce is a strong plus Team Dynamics: You will be joining Wrike's 15-member global Security team led by Maksim Pekuryn, Director of Security. You will report directly to Swen Groeneveld, Head of Security Operations, whose 8-person sub-team includes Security Engineers, Application Security, and SOC specialists. You'll also work closely with cross-functional partners in RevOps, Marketing, and Legal. Our Work Style: Tech stack: Salesforce, Marketo, Salesloft, OAuth integrations, connected apps, and related business SaaS tooling. Collaborative environment working closely with RevOps, Legal, and Marketing teams. Hybrid mode. Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support What's Next? Recruiter Screen (30 mins) Department Interview / Technical Discussion (60 mins) Cultural Interview with Hiring Manager, CISO, and HRBP Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Manila, Philippines Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Values Here are our Company Values and we’d love to have individuals who can be a culture add to our team! What We Offer Permanently Remote Pay wired directly to your bank account $50 Monthly Stipend Annual Bonus Flexible PTO Enjoy company time off during some of the major US Holidays Career fast track for performers and internal mobility Learn from a team of Stanford, MIT, Google and Harvard alumni Grow With Us We are looking for a Senior Software Solutions Engineer in Professional Services (PS) to join our growing team. In this role, you will own the design, development, and delivery of complex technical integrations between our platform and enterprise client systems. You'll operate at the intersection of deep software engineering and customer partnership — leading integration architecture decisions, mentoring junior engineers, and driving technical standards across the PS organization. The majority of your time is spent writing code, architecting scalable solutions, and solving genuinely hard technical problems. You'll bring an AI-native mindset to everything you build — leveraging LLMs, automation, and modern AI tooling to deliver faster, smarter outcomes for clients and the team. You'll work directly with enterprise clients and internal stakeholders to translate complex business requirements into production-grade software, with direct, visible impact on customer retention and satisfaction. Day in the Life Integration & Internal Engineering (50%) Architect and build robust API integrations between our platform and client HR, payroll, and POS systems Develop and maintain reusable integration frameworks and shared libraries that accelerate delivery across the team Own the full software lifecycle — from design and development through testing, deployment, and production support Build data migration pipelines and CSV transformation solutions for enterprise onboarding Develop two-way payroll integrations with complex business logic and error handling Build and deploy custom internal tools that improve team efficiency, integration observability, and customer operations Own infrastructure-as-code and deployment pipelines using Terraform, GitHub Actions, and related CI/CD tooling — you ship to production, not just to staging Apply AI-native development practices: using LLMs and AI tooling to accelerate development cycles, generate smarter automation, and build more intelligent solutions for clients and internal teams Technical Leadership & Mentorship (20%) Review code and provide technical guidance to junior and mid-level engineers on the PS team Establish and document engineering best practices, integration patterns, and internal tooling standards Champion AI best practices across the team — helping others understand when and how to use AI tooling effectively and responsibly Collaborate with Product and Engineering to surface recurring customer pain points and influence the platform roadmap Customer & Stakeholder Collaboration (20%) Lead technical discovery sessions with enterprise clients to define integration scope and requirements Translate complex business and compliance requirements into clear technical specifications Serve as the senior technical voice in client conversations — able to communicate architecture decisions confidently to both technical and non-technical audiences Custom Solutions & Tooling (10%) Build custom reporting tools, enterprise-grade career site implementations, and AI-assisted automation for customers Develop internal tooling and dashboards to improve team efficiency, reduce manual work, and scale PS delivery Who You Are Engineering Depth: You write clean, production-quality code and take ownership of what you ship. You think in systems, not just scripts. AI-Native: You don't just know AI exists — you actively use it. You're fluent with LLM APIs, prompt engineering, and AI-assisted development workflows, and you have strong instincts around where AI adds genuine value vs. where it introduces risk Integration Expertise: Hands-on experience with REST APIs, webhooks, OAuth, and workflow automation platforms (Workato or similar) DevOps Fluency: You're comfortable with Terraform, GitHub Actions, and CI/CD pipelines — shipping and maintaining production infrastructure is part of your normal workflow, not an afterthought Technical Leadership: You've mentored engineers, led code reviews, and contributed to engineering standards — not just executed tickets Problem Solving: You enjoy ambiguous problems and bring structured thinking to novel technical challenges Communication: You can hold your own in a technical architecture conversation and turn around and explain the same concept clearly to a non-technical customer Requirements 5+ years of experience in Solutions Engineering, Solutions Consulting, or a related technical customer-facing role Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) Experience designing and consuming REST APIs at scale Proficiency with infrastructure-as-code (Terraform) and CI/CD pipelines (GitHub Actions or equivalent) Demonstrated AI-native development practices — active use of LLM APIs, AI tooling, or AI-assisted workflows in prior roles Familiarity with version control and collaborative development workflows (GitHub) Experience with workflow automation platforms (Workato, Zapier, or similar) Must be willing to work during US business hours Nice to Have Proficiency in Python and TypeScript/JavaScript; comfortable owning backend services while being capable across the stack Prior experience in SaaS implementation, professional services, or a customer-facing engineering role Exposure to HRIS, payroll, or POS system integrations Experience building and maintaining shared internal developer tooling or libraries Familiarity with MCP (Model Context Protocol) or agentic AI frameworks Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Belgrade, Serbia We are looking for a Senior Head of Customer Support, not a conventional CS Manager or strong Team Leader. The person will own the complete Customer Support function, manage the existing team leaders and agents in Serbia, and participate actively in AloPlay’s leadership forum. Key Responsibilities: Proven ownership of a substantial 24/7 Customer Support operation within iGaming. Experience managing team leaders, QA, scheduling, performance and multi-brand support, not only managing agents directly. Strong leadership presence and the ability to stabilize, develop and hold an existing management team accountable. A highly structured and process-driven approach, including building SOPs, decision trees, escalation flows, knowledge bases and governance controls. Ownership of QA methodology: scorecards, sampling, critical failures, coaching, retraining and measurable follow-up. Strong critical thinking and the ability to identify systemic flaws, operational gaps and risks before they become incidents. Experience working across CS, Payments, Risk/Fraud, VIP, CRM, Product, Technical, Legal and Compliance. Good understanding of KYC, AML, Responsible Gaming, withdrawals, account restrictions, bonus abuse, complaints and sensitive player escalations. Requirements: Strong judgment regarding player-facing communication. One incorrect response can create significant legal, regulatory, PSP, reputational or commercial exposure, particularly in markets where the brand does not hold a local license. The confidence to challenge unsafe instructions from VIP, Payments or other managers and escalate material risks immediately. Ability to contribute beyond CS and take responsibility as a member of the company’s leadership structure. Data-driven management with clear KPIs, dashboards, root-cause analysis and evidence-based decisions. Proven experience implementing AI and automation at a meaningful operational level, not simply using ChatGPT. Ability to use AI for large-scale conversation analysis, automated QA, sentiment and risk detection, contact-reason classification, knowledge-base optimization, chatbot/self-service development and identification of problematic agent wording. Understanding of AI governance, including accuracy testing, human review, access controls, sensitive-data protection, version control and prevention of unsafe automated responses. Ability to assess existing systems such as Freshdesk objectively and recommend configuration, integration or replacement only after producing a clear operational and financial business case. Strong people-management skills: recruitment, onboarding, training, coaching, performance improvement and disciplinary management. Comfortable working from Serbia and travelling to Cyprus for management and leadership meetings. By joining us, you can expect: Competitive salary with attractive commission structure​. Top tier training provided by industry leading experts. Opportunity to grow within a fast-expanding international company. Positive and supportive team environment. Comfortable office space in central Belgrade. Private healthcare plan. Happy hour. Apply now and let’s achieve success together Apply at https://aloplay.bamboohr.com/careers/112?source=aWQ9MTg%3D to become a member of our amazing team! We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.

Задачи: — Поддержка multi-project облака; — Администрирование Kubernetes CCE (prod/dev сайта famil.ru, внутренние сервисы); — Онбординг новых web-приложений: DNS → nginx → RDS → GitLab CI → мониторинг; — Настройка и поддержка CI/CD (GitLab Runners, docker/K8s deploy); — Управление PostgreSQL/MySQL RDS (admin); — Observability: Grafana, Loki, Prometheus, Alloy, Zabbix, алерты в мессенджеры; — Сеть: VPN, VPC peering, security groups, ingress; — Бэкапы: RDS, CBR, OBS, pg_dump; — Автоматизация через Ansible (runners, agents, logrotate); Требования: — Образование высшее (техническое, в области информационных технологий); — Опыт работы от 2 лет DevOps/SRE; — Уверенный пользователь Linux (Ubuntu) bash; — Опыт автоматизации на основе Terraform + Terragrunt (или Terraform + аналог); — Умение настраивать и сопровождать CI/CD процессы Gitlab /Jenkins,Docker; — Опыт администрирования PostgreSql; — Опыт с облаком (Huawei Cloud / SberCloud / AWS / Yandex Cloud). Будет преимуществом: — Опыт работы с Grafana/Loki/Prometheus, Ansible, Zabbix, Python для автоматизации; — Опыт миграции legacy → K8s. Условия: — Работу в аккредитованной IT-компании; — Интересные проекты и сильную команду ИТ специалистов; — Уютный офис на ст. м. Улица 1905 года / м. Краснопресненская (БЦ "Сибирь" пешая доступность 5-6 минут), отсутствие дресс-кода; — График работы 5/2 (офис, после испытательного срока 1 день удаленно); — Оформление с первого рабочего дня по ТК РФ, официальная оплата труда; — Возможности профессионального развития и карьерного роста; — ДМС после испытательного срока, 3 месяца работы в Компании; — Корпоративные скидки для сотрудников компании по программе лояльности от BestBenefits, геймификация, брендированный мерч, спортивные забеги, благотворительные акции, внутренние мероприятия.

Команда занимается разработкой NLP-моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем. Примеры: система гардрейлов (в том числе на Jev-like моделях) для защиты LLM и AI-агентов Сбера от промпт-атак и джейлбрейков агентная память банка на базе темпорального графа знаний, учитывающего версии и изменения внутренней документации во времени Harness, который автономно превращает DS-код в продакшн-сервис — от сборки проекта по стандарту и интеграций до деплоя на стенды и тестирования AI-агенты для оценки рисков компаний экосистемы Сбера по внутренним документам, новостям, отчетности и описанию бизнес-процессов мультиагентная система по анализу репозиториев кода на уязвимости бизнес-логики и сверки с требованиями AI-агент DataEngineer для автономного анализа данных, поиска ошибок и аномалий, создания проверок качества данных, создания выгрузок и витрин. Задачи: — разработка PoC и MVP AI-агентов с использованием фреймворков для работы с LLM — адаптация и дообучение LLM на внутренних и внешних данных (SFT, LoRA, DPO, GRPO) — участие в выводе AI-агентов в продакшн, их интеграции и мониторинге качества — написание качественного кода и обсуждение технических решений с командой. Требования: — неоконченное высшее техническое образование с хорошей подготовкой в области математики и алгоритмов — знание Python, статистики и ML/DL-стека — опыт проектирования и обучения нейросетей: от CNN/RNN до трансформеров — опыт построения RAG-систем (классический RAG, GraphRAG, Agentic RAG) — опыт разработки автономных AI-агентов (LangChain, LangGraph, Deep Agents) — знание классических алгоритмов и структур данных, принципов ООП и паттернов проектирования — умение писать чистый и поддерживаемый код (Clean Architecture, SOLID) — опыт работы с Git. Преимуществом будет: — опыт работы с FastAPI, Docker, vLLM, Unsloth, Langfuse — успехи в соревнованиях (например, Kaggle Expert+ или призовые места на хакатонах) — вклад в open-source проекты, публикация моделей и датасетов на Hugging Face — погружённость в тренды индустрии, интерес к свежим статьям и новым инструментам — знание других языков программирования (например, C++, Java). Условия: — оплачиваемая стажировка — возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская) — корпоративный спортзал и зоны отдыха.