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Location: Москва Мы ищем талантливого специалиста, который сможет присоединиться к разработке и внедрению AI-агентов для взаимодействия с клиентами по вопросам продукта эквайринга Сбера. Агент должен поддерживать живой диалог, обладать знаниями о продукте и оказывать качественную консультацию клиентам. Вы будете частью команды, работающей над проектами по созданию и обучению AI-агентов. Обязанности * разработка AI-агента для консультирования клиентов по продукту эквайринга * написание кода на Python для реализации функциональности агента * работа с LLM-моделями: промптинг, настройка и оптимизация * разработка RAG-подходов для поиска и предоставления релевантной информации * создание ML-решений классическими подходами * тестирование и улучшение качества диалоговых сценариев агента. Требования * опыт разработки на Python от 3 лет * опыт работы с LLM-моделями: промптинг, RAG-подходы * опыт разработки ML-решений классическими подходами * понимание архитектуры диалоговых систем и AI-агентов * навыки математического моделирования и статистики. Будет плюсом: * опыт в банковской сфере или знание продуктов эквайринга * опыт работы с BI-системами (Power BI, Qlik Sense, Tableau). Условия * комфортный современный офис рядом с м. Кутузовская * гибридный график работы * ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования) * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Проектировать масштабируемую, надёжную и производительную архитектуру единой платформы данных. Разрабатывать и сопровождать техническую дорожную карту платформы, синхронизированную с бизнес-целями и потребностями исследователей.

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed care decisions. This is a hands-on, high-ownership engineering role for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and an AI-first engineering mindset . What project we have for you The project is building a FHIR-based healthcare data platform that aggregates provider information from national registries, EHR systems, healthcare networks, and partner data feeds. The platform ingests fragmented and often inconsistent healthcare data, transforms it into standardized FHIR resources, resolves duplicate identities and relationships, and makes trusted provider information available through high-scale search and data services. The engineering challenge goes well beyond traditional ETL. Provider data comes from hundreds of heterogeneous sources and contains duplicates, outdated records, conflicting identities, incomplete relationships, and inconsistent schemas. The platform must determine how these sources relate and continuously improve the accuracy and confidence of the resulting data. The technology landscape includes Python, Apache Spark, Prefect, AWS, Kubernetes, MongoDB, OpenSearch, and FHIR , with AI increasingly used both as part of the engineering lifecycle and within data-processing solutions. What you will do Design, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds. Transform heterogeneous source data into standardized, trusted data models, including FHIR-native resources . Own data quality end-to-end , including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting. Design and implement solutions for entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring . Build and evolve distributed data processing pipelines using Python, Spark, and modern orchestration technologies . Improve pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely. Establish and evolve data governance standards , including schemas, staging models, validation processes, and data refinement workflows. Design and operate data storage and search solutions supporting large-scale healthcare datasets. Build AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows. Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact. Contribute to technical design reviews and help establish scalable engineering patterns across the broader data platform. What you need for this 5+ years of professional experience building and operating data-intensive backend or data engineering systems at scale. Strong hands-on expertise in Python , including development of production-grade data processing and backend services. Strong experience designing and building scalable data ingestion and ETL/ELT pipelines for large and heterogeneous datasets. Sound data engineering instincts, including data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns. Hands-on experience with Apache Spark or Databricks for distributed data processing. Experience with workflow orchestration technologies such as Prefect, Apache Airflow , or equivalent. Strong understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . Experience with both relational and document-oriented databases; practical knowledge of technologies such as MongoDB or comparable NoSQL platforms. Experience with search technologies such as OpenSearch, Elasticsearch , or comparable solutions. Strong AWS experience, including services such as S3, ECS/EKS, Lambda , or equivalent cloud-native technologies. Hands-on experience with Docker, Kubernetes, CI/CD , and operating cloud-native workloads in production. Strong understanding of production data pipeline concerns including reliability, fault tolerance, observability, monitoring, alerting, and incident response . Experience establishing and maintaining data governance standards , schemas, validation rules, and repeatable data refinement processes. Practical experience using AI-assisted software engineering tools as part of the regular development lifecycle. Strong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production. Strong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders. Professional English sufficient for direct collaboration with U.S.-based teams. Experience working with healthcare data, HealthTech platforms, or healthcare interoperability . Knowledge of FHIR , particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location. Experience integrating data from EHR/EMR systems, healthcare registries, provider networks , or similar complex data ecosystems. Experience designing data platforms handling PHI/PII or other regulated and sensitive information . Familiarity with HIPAA-related data protection and security considerations. Nice to Have Experience building AI-powered data processing solutions , particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring. Practical experience integrating LLMs into production data workflows , including evaluation, reliability, latency, cost, and data-protection considerations. Experience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor , or similar platforms. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Python Spark

2GIS CDP — это внутренняя Customer Data Platform, лежащая в основе стратегии развития всего 2ГИС на ближайшие годы. CDP объединяет данные из десятков источников, строит единые пользовательские профили, рассчитывает метрики, интересы и модели поведения, помогает запускать real-time персонализацию прямо в продукте и управлять персонализированной рекламой и коммуникацией. Это стартап внутри большой компании — со свободой в архитектуре и технологиях, с задачами уровня highload и с реальным влиянием на бизнес-результаты. О команде Мы объединяем инженеров, аналитиков и ML-специалистов, которые строят систему, меняющую подход к данным в 2ГИС. Работаем с большими объемами событий, продумываем архитектуру под масштаб и надежность, ценим простые и элегантные решения. Каждый в команде влияет на архитектуру, подходы и направление развития CDP. Наш стек Backend: Go, gRPC Frontend: TypeScript, React Autotests: Python, Playwright, Allure Infrastructure: Kubernetes, Kafka, ClickHouse, Spilo/PostreSQL, Spark, Airflow. Стек только формируется — ты сможешь повлиять на его развитие и архитектуру. Тебе предстоит Повысить эффективность пайплайнов для расчета с daily-признаков на основе batch процессинга. Создать эффективный пайплайн для расчёта realtime-признаков на основе Kafka‑топиков. Проектировать и разрабатывать сервисы, обрабатывающие миллиарды событий пользователей. Решать сложные инженерные задачи: расчеты метрик, построение витрин. Работать с потоками данных и интеграциями между CDP и другими системами 2ГИС. Влиять на архитектурные решения и качество кода. Работать в распределенной команде, взаимодействуя с аналитиками, продактами и инженерами других направлений. Ждем от тебя Опыт работы с highload-системами. Опыт проектирования архитектуры данных или платформенного кода. Опыт работы с Kafka, ClickHouse или другими системами потоковой и аналитической обработки данных. Хорошо понимает, как работает Spark и умеет его готовить. Хорошо владеешь одним из языков программирования (например, Python или Scala). Самостоятельность и проактивность — ты не ждешь постановок, а предлагаешь решения. Желание разбираться в бизнес-логике и создавать продукт, а не просто писать код. Будет плюсом: Опыт работы с Airflow. Опыт анализа данных с использованием SQL. Знание инструментов мониторинга и автоматического контроля качества данных (Data Quality, Data Contracts). Опыт построения Data Lineage и работы с Data Catalog. Понимание подходов к персонализации, сегментации или real-time аналитике. Понимание, как работает S3 хранилище. Почему это круто Масштаб: миллионы пользователей, миллиарды событий, сотни интеграций. Рост: CDP — стратегическое направление, растем быстро и даем расти команде. Свобода: минимум бюрократии, максимум ответственности. Видимый результат: все, что ты делаешь, влияет на продукт, коммуникации и рекламу 2ГИС. Хочешь строить внутренний «мозг» 2ГИС? Присоединяйся к команде CDP.

Location: Berlin Office; Bosnia; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Moldova; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. STAFF PLATFORM ENGINEER, AGENTIC ENGINEERING Developer Productivity · AI Coding Agents · Developer Platform Our ambition: an engineering organisation where humans and agents work as one continuously learning system, turning frontier AI capabilities and real-world feedback into more ambitious product development. We want n8n to be the reference for how this is done, without compromising quality, resilience or trust. Your main goal is to make that real. This is a Staff individual contributor role in Developer Platform and the technical driving force behind ACDC (Agent-centric Development Cycle), our engineering-wide initiative for agentic development. Nobody has a playbook for this yet. You'll write ours. You won't start from zero. Agents wired into Linear already automate around 80% of the development cycle on one of our developer platform projects, alongside pilots for insight, feature-flag and PR-review agents and a shared agent harness. Your job is to take this from promising experiments to the way n8n builds software. This role is for someone who thinks about this problem constantly. You run agents all day, rebuild your own workflow every time the frontier moves, and have more ideas than time. You'll stay hands-on, building the first versions yourself, and shape how the work grows beyond one person. WHAT YOU'LL DO SET DIRECTION AND OWN THE OUTCOME - Identify where agentic development can make the greatest difference, using developer feedback, existing experiments and engineering performance data. - Set the strategy and priorities across agent execution, repository readiness, CI, security and developer workflows. - Make build, buy or pass decisions on tools and vendors, and own the cost and value trade-offs, including AI spend. - Make decisions where requirements are incomplete and the trade-offs between autonomy, reliability, security and review effort are still emerging. - Build alignment through technical proposals, clear decisions and working software, and report progress and impact to engineering leadership. BUILD THE FOUNDATIONS - Design and build isolated execution environments where agents can work with the right access to code, tools and context, without exposing secrets or sensitive systems. - Own the safety model: which task categories agents may attempt, what they must never touch, and where human review is required, partnering with Security on sensitive areas like auth, billing, permissions and data handling. - Make n8n's monorepo agent-ready, working with Architecture and senior engineers on repo structure, testability, boundaries and the context agents need. INTEGRATE AGENTS INTO HOW WE WORK - Build repeatable workflows that take Linear issues through agent execution, self-verification and review to merged PRs, across a growing range of task types. - Integrate agentic workflows with GitHub, CI, test infrastructure and code review, so the agentic path becomes the easiest path for engineers. - Extend the loop beyond coding: connect earlier signals like product research and customer requests, and later ones like production metrics, so agents contribute across the whole cycle. - Open it up beyond engineering, so PMs, designers and others can turn a well-defined issue into a reviewed, mergeable change. - Shape review practices, such as PR evidence that shows what changed, what ran, what risks remain and where human judgment is needed. MEASURE WHAT WORKS - Build benchmarks from real historical engineering tasks to evaluate output quality, failure modes, review burden and production risk. - Define and track quality and adoption signals, such as reviewer acceptance rate, CI pass rate, rework rate and developer satisfaction. - Use data and feedback to change course, retire what doesn't work, and build trust across engineering. REQUIREMENTS MUST-HAVES - 🔥 Frontier obsession: You live at the frontier. You try new models and tools as they land, and you have strong, evidence-backed opinions on what's real and what's hype. - 🧭 Staff-scope ownership: You’ve led complex platform, DevEx or engineering productivity initiatives across teams, from defining the problem to sustained adoption and measurable impact, where there was no established approach to follow. - 🤖 Agentic depth: You use coding agents daily as a power user, and you've built infrastructure around them, such as repo context and instructions, tool or MCP integrations, sandboxed execution or agent workflows in CI, that other engineers rely on. - 🎯 Product mindset for internal platforms: You treat engineers as your customers. You start from real friction, prioritise by impact, make build-vs-buy calls, weigh cost against value, and let adoption tell you whether something works. - 🤝 Direction without authority: You've set technical direction that multiple teams followed, through proposals, design reviews and credibility with senior engineers across Platform, Product Engineering, AI, Security and Architecture. - 🔐 Safety judgment: You've made real decisions on permissions, secrets, sandboxing, sensitive code paths and human-in-the-loop review, and can explain the trade-offs. - 📊 Measurement that drives decisions: You've built evaluations, benchmarks or quality metrics and used them to change course or retire things that didn't work. You care about outcomes, not lines of AI-generated code. - ✍️ Writing that changes decisions: Your technical proposals and documentation have shifted what teams did. NICE-TO-HAVES - 📦 TypeScript monorepos: You have worked in a large TypeScript, Node.js or JavaScript monorepo. - ⚙️ Developer platforms: You have experience with GitHub Actions, Linear, test infrastructure, preview environments or internal developer platforms. - 🧑‍🤝‍🧑 Growing a team: You've mentored engineers or helped shape a new team as an initiative grew beyond one person. - 🌍 Open-source communities: You have contributed to open-source or source-available projects with active developer communities. - 🏢 B2B SaaS context: You understand environments where reliability, permissions, data handling and customer trust are central. - 🔗 Workflow automation: You're familiar with workflow automation, integration platforms, AI orchestration or developer-facing products. WHY JOIN US? At n8n, you'll define how autonomous AI agents become a trusted part of engineering inside one of Europe's fastest-growing AI-native infrastructure companies. Your work will shape the platform foundations, safety model, evaluation framework and developer workflows that decide whether agents can contribute meaningfully to production engineering without lowering the quality bar. You'll join a remote-first team with high autonomy, high visibility and a strong builder mindset. Because this is a first-of-its-kind role, you'll set direction, influence engineering culture, and create learnings that may inform both our internal engineering and n8n's product thinking. Sound like a challenge you're excited to take on? Apply now, and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Чем предстоит заниматься: Разработка и внедрение решений на базе ИИ внутри портала Битрикс24; Интеграция внешних нейросетей (YandexGPT, OpenAI, GigaChat и др.) с бизнес-процессами CRM;

Location: GE; PL Workplace: remote Overview: SOFTSWISS is looking for an Atlassian Support Engineer to join our Atlassian team. The team supports and develops Jira Software, Jira Service Management, and Confluence Data Center, which are essential to the company’s internal service and business processes. Our work covers project and service portal configuration, access management, automation, integrations, and technical troubleshooting. We handle both daily service requests and planned initiatives, including process improvements, integrations with corporate systems, and platform changes. Purpose of the Role: You’ll support and improve SOFTSWISS’s Atlassian platforms to ensure they meet the needs of internal teams and business processes. Your work will focus on maintaining effective Jira and Confluence configurations, improving service management workflows, and supporting automation and integrations with corporate systems. Key Responsibilities: Configure Jira to support team processes: projects, workflows, transitions, conditions, validators, post-functions, fields, screens, schemes, roles, and notifications. Develop Jira Service Management: service portals, request types, forms, queues, SLAs, approvals, routing, and automated creation of related issues. Manage access in Jira and Confluence: groups, project roles, permission schemes, issue security, and space and page permissions. Investigate visibility issues affecting tickets, comments, and data. Build and maintain automation: Automation for Jira rules and existing ScriptRunner/Groovy solutions, including Behaviours, workflow logic, and scheduled jobs. Support integrations and data exchange: REST APIs, webhooks, JSON, Slack and email notifications, and synchronisation of fields and data between Jira and connected systems. Investigate issues in Jira, Confluence, and their apps: reproduce problems, review configurations, logs, and automation results, identify causes, and involve senior engineers or owners of connected systems when needed. Own requests through to a confirmed outcome: clarify requirements and dependencies, agree on changes, verify key scenarios and exceptions, document solutions, and coordinate validation with stakeholders. Core Platforms and Automation Jira Software, Jira Service Management, Confluence Data Center Jira Automation / Automation for Jira ScriptRunner, Groovy, Behaviours, workflow conditions, validators, post-functions, and scheduled jobs Assets / Insight JQL, REST APIs, webhooks, JSON Apps Supported by the Team eazyBI, Tempo, BigPicture, Email This Issue, Smart Checklist. Connected Systems and Integrations HiBob, Slack, HubSpot, 1C, GitLab Authentication and identity management systems, including Keycloak/SSO Selected notification and alert-routing processes using Opsgenie This is the team’s working environment. You don’t need deep expertise in every listed app to join us. Required Experience: Hard Skills At least 2 years of practical Jira administration experience, including Data Center and Jira Service Management. English at B1+ level for documentation and ticket communication, and native-level Russian for workplace communication. Understanding of Jira Cloud and Confluence Cloud, with hands-on experience working with both platforms. A solid understanding of workflows, schemes, screens, field configurations, project roles, and permission models. Ability to account for configurations shared across multiple projects. Practical experience configuring JSM request types, forms, portals, queues, SLAs, and customer access. Experience administering Confluence spaces, pages, groups, restrictions, and troubleshooting access issues. Ability to create and troubleshoot Automation for Jira rules and use JQL and smart values. Practical ScriptRunner experience: reading and modifying existing Groovy scripts, understanding when they run, verifying results, and diagnosing errors. Understanding of REST APIs, HTTP, JSON, and webhooks. Ability to investigate authentication, service account permissions, integration payloads, and responses. Basic practical experience with Assets: objects, attributes, relationships, permissions, and using Assets data in Jira processes. Soft Skills Ability to translate user requests into clear requirements and acceptance criteria, identifying inconsistencies between descriptions, documentation, and comments. Ownership of commitments: track dependencies and deadlines independently, and communicate blockers or changes to plans before stakeholders ask for an update. Clear communication with technical and business teams: explain limitations, propose options, and document agreed solutions. Careful handling of access permissions, personal data, and public and internal comments. Nice to Have: Advanced Groovy and ScriptRunner experience, including developing custom scripts, troubleshooting execution errors, and working with complex existing logic. Experience creating and maintaining eazyBI reports, configuring data imports, and managing report access. Experience working with Tempo, BigPicture, Email This Issue, or Smart Checklist. Experience with HiBob–Jira–Tempo, Jira–Slack, Jira–GitLab, or similar integrations. Participation in project or space migrations and consolidation, including validating permissions, data, macros, apps, and scenarios after migration. Experience migrating Jira or Confluence from Server/Data Center to Cloud. Experience supporting SSO integrations in collaboration with an IAM team. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Задачи: — Реализовывать репликацию данных — Разрабатывать ETL-процессы для интеграционных задач и тестировать их — Декомпозировать задачи, оценивать длительность и трудоемкость каждого этапа — Анализировать и формализовать требования заказчика — Собирать прототип решения — Анализировать качество данных — Писать проектную документацию (FSD, BRD, регламент, Admin Guide, User Guide) — Тестировать функционал и передавать заказчику — Выполнять ad-hoc выгрузки по требованиям заказчика Требования: — Уверенное владение SQL — Опыт работы с Python — Опыт работы с Apache Spark, Hadoop\S3\S3-like, Airflow — Навыки декомпозиции сложных задач и управления приоритетами — Способность создавать понятную и структурированную техническую документацию Будет плюсом: — Опыт работы с Parquet\ORC, Apache Iceberg — Опыт работы с Kafka — Знание архитектуры Data Vault Условия: — Внутренние семинары, внутренние митапы — ДМС со стоматологией для сотрудников и скидку на покупку ДМС для ближайших членов семьи — Техника для комфортной работы — Сессии профессионального развития персонала, результатом которой является план индивидуального развития каждого сотрудника

Досвід адміністрування Linux — від 3 років. • Linux: Debian/Ubuntu, RHEL-based;

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 About the Role: Do you thrive in a high performance role, solving complex problems and interacting with people? Are you passionate about helping customers and are a standout colleague? Cloudflare is seeking a Technical Support Engineer to join our team PAYGO. You will work with our customers on a variety of technical support issues as well as the Technical Operations team that is responsible for running our global distributed network. This is a position where you will learn the inner workings of Cloudflare's technology and gain a deeper understanding of internet technologies. You will provide support on our Application Performance and Developer Platform products. Examples of desirable skills, knowledge and experience: You thrive in a high performing team environment You take ownership and make sure you solve the customers issues. You drive the case to the finish line. You are familiar with Developer Platform products You have previous experience working as part of a team in a customer-facing role You have experience solving HTTP, DNS, SSL, Cache and other networking-related problems You understand how the Internet works You have a solid grasp of problem-solving with command line tools (curl/dig/traceroute/tcpdump) You have experience working in a support role. You are comfortable communicating through various support channels and always put the customer first (Emails, Live Chats, Phone calls and virtual meetings) You are a motivated self-starter and always looking to expand your existing skill set Bonus Points You are fluent in German, Japanese, French, Spanish, Portuguese or Mandarin You are familiar with Cloudflare and have a site actively using our platform You are familiar with Nginx, Apache, IIS or any other web servers You are committed to gaining a deeper understanding of the following technologies: DNS / CDN - Cache / SSL / Cloudflare Workers You have worked with PostgreSQL, MySQL, MS SQL or other database servers You have experience with Cloudflare Workers and/or JavaScript You have experience with Video encoding and streaming solutions Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €28,000-39,000. 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: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. Senior Application Security Engineer Join our existing R&D Security team as Aidoc's first dedicated Application Security Engineer. You will shape how application security works across R&D: choosing effective controls, building useful security tooling, and helping engineers adopt secure practices. You will work with security leadership, SecOps, product teams and engineers. Our products span Python services, web applications, desktop applications, mobile apps, and Aidoc servers in hospitals. What you will do? Lead threat modeling and security reviews across services, web, desktop, mobile and hospital applications. Focus on customer and hospital data isolation and medical-file handling. Review Python and JavaScript/TypeScript code and test applications and APIs. Turn findings into practical requirements, help developers resolve them, and verify fixes, including testing for bypasses. Improve SAST, DAST, SCA and secrets controls across the development workflow. Work with DevOps and developers to reduce noise and make results actionable. Build security automation, CI integrations and validation tests. Create reusable guidance and help teams adopt standards through design discussions, code reviews and developer coaching. Define security requirements and verify controls for clinical inference, training pipeline code and model artifacts with AI and Data Engineering. Assess developer AI tools, including coding assistants, AI agents and Model Context Protocol (MCP) integrations, for sensitive-data exposure, excessive tool permissions and untrusted inputs. Validate application risks, recommend remediation priorities, track agreed work and measure adoption and recurring defects. Support SecOps investigations and provide technical evidence to Quality and Regulatory partners. Responsibilities 5+ years of relevant experience in Application Security, Product Security, or a combination with software engineering. Built or substantially improved an AppSec program: selected priorities, introduced or improved tooling, gained developer adoption without formal authority, and measured results. Confident security review of Python and JavaScript/TypeScript, especially authorization and tenant isolation; hands-on web and API testing. Experience threat modeling and assessing systems you did not design, and translating findings into changes engineers can implement. Ability to write security automation, CI integrations and validation tests. Working knowledge of security risks in LLM applications, AI agents and MCP integrations, including prompt injection, sensitive-data exposure and tool permissions. Clear communication in English and sound judgment when explaining security trade-offs and guiding engineering teams. Requirements Electron, mobile or Windows-hosted application security; C#/.NET, PowerShell or Go. Deeper security experience with ML training pipelines, model artifacts or inference systems. Healthcare integrations, patient-data protection or regulated product development. You can develop expertise in our additional platforms and healthcare domain here. Your AppSec judgment and record of making a program work matter most. Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

▫️ Разрабатывать и внедрять процессы по повышению уровня зрелости безопасной разработки. ▫️ Интегрировать инструменты безопасной разработки с DevOps-процессами.

Location: India; Pakistan; Morocco; Taiwan; Vietnam We are growing! We are currently looking to hire a Data Engineer - Web Scraping to work with us remotely on a 3 months contract. Who we are: Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide. The mission of our 270 collaborators is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation. We are passionate about delivering impact. Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction. What you will be doing: Maintain and manage website scraping configurations using Python. Monitor scraping configurations for errors and potential crashes. Oversee retrieved data to detect potential issues and blockages. Coordinate with stakeholders to understand scraping task requirements and report issues. Prepare and share periodic reports on scraping activities with stakeholders. Develop necessary pipelines to ingest data into the Datalake and perform required transformations. Requirements What you will bring along: Proven experience in data engineering with expertise in designing and implementing scalable data architectures. Strong experience with ETL processes, data modeling, and data warehousing (Airflow & DBT preferred). Expertise in database technologies, both relational (SQL) and NoSQL. Knowledge of cloud platforms, particularly Azure. Solid understanding of data security measures and compliance standards. Excellent Python experience for data engineering and automation. Strong collaboration skills to work closely with data scientists and analysts. Ability to optimize data pipelines for performance and efficiency. Ability to build, test, and maintain tasks and projects. Experience with version control systems, such as Git. Hands-on experience with Airflow and/or DBT. Experience with Terraform for infrastructure management. Minimum 2 years of experience in a similar role. Strong academic background in a relevant field. Fluent in English (French is a plus).

- 3+ years of building distributed crawlers in production. - Experience with proxy infrastructure: residential, mobile, ISP.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Engineering Manager on GitLab's Authentication team, you'll build and lead a team of engineers in Bangalore who own how users, applications, tokens, and artificial intelligence (AI) agents sign in to GitLab. At GitLab, we see our team as our product. You'll need to be technically credible in authentication protocols such as OAuth 2.0, OpenID Connect (OIDC), and Security Assertion Markup Language (SAML). Your main focus will be hiring well, growing your engineers, and helping the team deliver on commitments that other parts of GitLab depend on. You'll guide your team's work on OAuth across Cells, global identities, token consolidation, and moving authentication out of the Ruby on Rails monolith onto GATE, GitLab's new authentication and authorization platform. You'll manage these multi-quarter programs with fixed deadlines and many dependent teams. What you'll do Hire, onboard, and grow a team of senior and intermediate engineers in Bangalore, working with talent acquisition during a high-volume hiring period. Own delivery for your team's part of the authentication roadmap: plan in milestones, track risks early, and communicate clearly when a date is at risk and what would change it. Work with your Staff Engineer and Product Manager to turn architecture decisions into shippable, feature-flagged increments. Protect your team's focus. Manage requests from other teams through one intake path, and make trade-offs visible to leadership. Coordinate with the GATE Core, GATE Infra, Authorization, and Tenant Scale (Cells and Organizations) teams across India, Europe, and the Americas. Make sure the team runs what it builds, including on-call coverage, incident response for authentication issues, rate limits, and production readiness for new services. Build a team culture where security comes first, decisions are written down, and code review is thorough and kind. Give clear, regular feedback, run career conversations, and handle performance issues early. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Significant experience as an engineering manager of backend or platform teams, including hiring and growing senior engineers. A background as an engineer in identity, authentication, or security systems, with enough depth in OAuth 2.0, OIDC, SAML, and JSON Web Tokens to review designs and ask probing questions. Experience delivering complex, multi-team programs against fixed dates, including migrations that must not disrupt existing customers. Experience running production services, including on-call coverage, incident response, and reliability work. Working knowledge of Ruby on Rails or Go. Experience building a new team or growing one quickly while keeping the hiring bar high. Clear, concise written English and comfort leading a team in an all-remote, asynchronous company across time zones. About the team We're part of the Security Platform stage, alongside Authorization, GATE Core, GATE Infra, Secrets Manager, and other security teams. You'll partner closely with our existing Authentication engineers in Europe and the Americas. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

💎 Держать стабильность и отказоустойчивость инфраструктуры финтех-продукта: OVHcloud как основная площадка плюс AWS и Azure, Linux (RHEL 9 / AlmaLinux), Nginx, PHP, Percona MySQL / Galera, Redis, RabbitMQ, NFS / S3, мониторинг и алертинг через Datadog, Sentry, Pingdom и OpsGenie.

Чем предстоит заниматься: Работать на опережение: Мгновенно подхватывать обращения от специалистов, находящихся на объектах [СПЕЦИАЛИСТ НА ОБЪЕКТЕ], и не давать им «зависать». Минимизировать переписку: Если проблема не решается за 2 сообщения — сразу переходить на голос или удаленку.

• опыт классического ML на табличных данных (скоринг, антифрод, рекомендательные системы, прогноз спроса или оттока, ценообразование и похожие задачи). • Python (pandas, numpy).