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Location: Cyprus; Lisbon, Portugal; Tbilisi, Georgia; Belgrade, Serbia; Kraków, Poland At COLIBRIX ONE*, we're building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We're a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we're looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we'd love to hear from you. The ideal candidate will bring deep technical expertise, a collaborative mindset, and the ability to influence and mentor team members through knowledge and experience rather than formal authority. What You Need to Succeed 5+ years of professional Go development experience, including 3+ years in fintech, banking, payments, or other transaction-critical systems Strong knowledge of distributed systems, microservices, and API design (REST and gRPC) Advanced PostgreSQL skills, including transactions, isolation levels, locking, indexing, migrations, and concurrency Experience designing reliable transactional systems using idempotency, retries, event deduplication, transactional outbox, sagas, and reconciliation Hands-on experience with event-driven architectures and message brokers such as NATS, Kafka, or RabbitMQ Experience building and operating production services, including incident investigation, safe deployments, database migrations, and observability Practical knowledge of AWS, Kubernetes, and CI/CD Experience integrating with banks, payment providers, processors, AML/KYC, or anti-fraud platforms Understanding of security requirements for financial and personal data Ability to translate business requirements into technical solutions and independently drive implementation Strong communication skills and working proficiency in Russian and English Banking Domain Experience Hands-on experience in several of the following areas is highly valued: Ledgers, accounting flows, accounts, and balance management Holds, reversals, adjustments, reconciliation, and settlement SEPA, SWIFT, and ISO 20022 Card transaction lifecycles and card scheme integrations Nice to Have Experience with Temporal or a similar workflow engine Experience with NATS/JetStream, GitLab CI/CD, OpenTelemetry, Prometheus, Grafana, Loki, or Tempo Knowledge of event sourcing or append-only financial data models Familiarity with PCI DSS and GDPR Experience using AI coding tools for analysis, implementation, testing, or code review What We Offer: Opportunity to shape the future of fintech solutions within a growing company Collaborative, horizontal team structure that values your expertise and ideas Continuous learning and development opportunities to enhance your skills and career growth Competitive salary and benefits package Flexible work arrangements to support work-life balance * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Poland; Georgia; Serbia; Bulgaria; Armenia We build cloud CPaaS/CCaaS infrastructure - the routing, messaging and real-time layer that contact centres run on. High traffic, event-driven services, and a UI that has to stay correct while thousands of live conversations move through it. We're hiring a senior engineer for a team where AI agents are part of the normal development loop, not a pilot. You'll own features end-to-end across a Go backend and a React/TypeScript frontend, and you'll be accountable for everything you ship — including the parts an agent wrote. This is not a prompt-engineering role. It's a senior engineering role where AI-assisted delivery is the default working method. Requirements What will you do at MMDSmart? Own features end-to-end across Go backend and React/TypeScript frontend; Design and develop solutions for high-load and distributed production systems; Use AI coding agents as an integral part of your everyday development workflow; Guide AI agents, review and verify their output, and take ownership of the final result; Build and evolve backend services, APIs, frontend functionality, and external integrations; Investigate complex production issues and drive them to resolution; Contribute to architecture decisions, technical discussions, and system improvements; Help improve our codebase and development practices to make AI-assisted engineering more effective. You are a perfect match if you have: 5+ years of professional software engineering experience and strong Senior-level engineering fundamentals; Strong hands-on production experience with Go - 4 years of experience; Practical experience with React and/or TypeScript; you don’t need to be a frontend expert, but you should be comfortable working with frontend code; Hands-on experience with high-load and distributed production systems; Experience designing, building, and debugging production services and APIs; Hands-on experience with AI coding tools such as Claude Code, Cursor, Windsurf, Copilot, or similar - beyond simple autocomplete; Ability to use AI to work effectively across different parts of the stack while critically reviewing and verifying its output; Strong engineering judgement, ownership, and ability to make technical decisions independently. Our Tech Stack: Backend: Go, microservices, REST APIs, GraphQL Frontend: React, TypeScript, Zustand / Redux Toolkit, WebSocket / SSE Event-driven: Kafka, NATS / JetStream, RabbitMQ, event-driven architecture Data: PostgreSQL, Redis, MongoDB Infrastructure: GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code Observability & Performance: structured logging, metrics, tracing, profiling, high-load and concurrency tooling AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations Will be a plus: CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging. Voice stack: WebRTC, SIP, media servers, or CPaaS APIs API gateway and microservices integration; GraphQL federation. Kubernetes, Docker, CI/CD ownership, infrastructure-as-code. Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations. Internal tooling, evals or automation built on LLM APIs. Open-source contributions, especially in Go. What you get: An AI-first engineering environment where AI is part of real production development; The opportunity to use AI to work across the full stack and expand beyond your primary expertise; Work on high-load communication products with real business impact; A team where Senior Engineers influence technical decisions and architecture; Remote work. Benefits Why do talents choose and stay at MMDSmart? Embrace the opportunity to work in a company that cares about: Your Wellness: Access to mental health programs, comprehensive medical insurance, and a sports card*. Your Happiness: Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts. Your Development: Benefit from free educational events & courses, and English classes with native speakers. Your Career: Focus on your professional development in a supportive environment. Work-Life Balance: Choose your working format - remote, office-based, or hybrid and engage in team-building activities. Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got! Equal-Opportunity Employment We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. *Medical Insurance and Sport Card perks are available for employees located in Bulgaria.

Задачи: — Строить и развивать CI/CD-пайплайны в GitLab (GitLab CI/CD): от структуры и раннеров до стратегий деплоя (blue-green, canary, rollback); — Писать и поддерживать Ansible-плейбуки для конфигурации серверов, раскатки приложений и рутинных операционных задач; — Разрабатывать автоматизацию для DBA-команды: скрипты обслуживания БД (Clickhouse, Redis, PostgreSQL), автоматизация бэкапов, ротации, мониторинга, регламентных проверок (Python/Bash); — Писать скрипты и небольшие инструменты по запросу инженерных команд - на Python и Bash, с адекватным логированием и обработкой ошибок; — Поддерживать и улучшать инфраструктуру как код (Docker, в перспективе - Helm-чарты и Kubernetes-манифесты); — Участвовать в код-ревью инфраструктурных изменений и в разборе инцидентов, связанных с CI/CD и автоматизацией; — По мере роста задач - подключаться к работе с Kubernetes, Kafka, RabbitMQ, Airflow, Nginx и тд (администрирование, автоматизация обслуживания, участие в проектировании). Требования: — Опыт построения и поддержки CI/CD от 2 лет, желательно с GitLab CI/CD; — Уверенное написание Ansible-плейбуков (роли, инвентари, идемпотентность); — Python на уровне написания production-скриптов; — Bash на уровне уверенной автоматизации операционных задач; — Опыт работы с Docker; — Понимание принципов работы Linux на уровне администрирования (сеть, права, systemd, файловые системы); — Готовность разбираться в предметной области смежных команд (специфика задач DBA) для написания релевантной автоматизации. Будет плюсом: — Опыт работы с Kubernetes (деплой, отладка, чтение манифестов) и/или Helm; — Опыт работы с Kafka, RabbitMQ, Airflow, DataHub, Nginx — администрирование или автоматизация обслуживания; — Опыт автоматизации задач вокруг Clickhouse, Redis, PostgreSQL; — Опыт настройки мониторинга (Prometheus/Grafana) и алертинга (Alertmanager). Условия: — Официальное оформление в IT-аккредитованную компанию и зарплата на уровне топовых IT-компаний России; — Удалённый формат работы, гибкое начало рабочего дня + 3 day off в год; — Расширенный ДМС со стоматологией, экстренной и плановой госпитализацией и др.; — Выдача необходимой техники для работы (Mac/Windows на выбор); — Возможность посещать профессиональные конференции и выступать от имени компании на отраслевых мероприятиях; — Performance Review дважды в год с возможностью влиять на профессиональное развитие и уровень дохода; — Сотрудничество с BestBenefits - сервис корпоративных скидок, занятия с преподавателем-носителем по английскому языку; — Возможность получить сниженную процентную ставку на ипотеку; — Корпоративная скидка 50% на сервис каршеринга.

Задачи: — Проектирование и эксплуатация AWS-инфраструктуры: развёртывание и сопровождение VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. — Настройка AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. — Обеспечение высокой доступности (HA), backup/restore, disaster recovery и принципов production-инфраструктуры. — Создание и сопровождение AWS-инфраструктуры как кода с помощью Terraform. — Строительство и эксплуатация Kubernetes в AWS (EKS), работа с основными Kubernetes-сущностями: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. — Использование Helm для управления приложениями. — Настройка Ingress Controller, Load Balancer и TLS/certificates. — Понимание Kubernetes storage и обеспечение работы stateful-приложений. — Работа с Docker: сборка образов, registry, troubleshooting контейнеров. — Построение CI/CD-процессов, желательно на GitLab CI. — Автоматизация развёртывания приложений и зависимых сервисов. — Интеграция инфраструктурных изменений в пайплайны и поддержка воспроизводимости окружений. — Настройка мониторинга на базе Prometheus + Grafana: метрики и алерты. — Организация централизованного сбора и анализа логов: Loki/ELK/OpenSearch. — Диагностика сетевых и системных проблем в Linux. — Обеспечение стабильности production-среды, реагирование на инциденты и устранение их причин. — Управление secrets: AWS Secrets Manager / Vault/OpenBao / External Secrets. — Настройка RBAC/IAM и соблюдение принципа least privilege. — Обеспечение безопасного взаимодействия сервисов и доступа к инфраструктуре. — Поддержка PostgreSQL, Redis, RabbitMQ/Kafka на уровне инфраструктуры и интеграции с приложениями. — Обеспечение backup/restore и отказоустойчивости stateful-сервисов. — Помощь командам в развёртывании и сопровождении зависимых сервисов в Kubernetes. Требования: — Уверенный опыт работы с AWS: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. — Хорошее понимание AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. — Практический опыт построения и эксплуатации Kubernetes в AWS (EKS). — Знание основных Kubernetes-сущностей: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. — Опыт работы с Helm. — Опыт настройки Ingress Controller, Load Balancer и TLS/certificates. — Опыт работы с Docker: сборка образов, registry, troubleshooting контейнеров. — Понимание Kubernetes storage и работы stateful-приложений. — Опыт работы с Terraform для создания и сопровождения AWS-инфраструктуры как кода. — Опыт построения CI/CD, желательно GitLab CI. — Опыт работы с PostgreSQL, Redis, RabbitMQ/Kafka на уровне инфраструктуры и интеграции с приложениями. — Понимание HA, backup/restore, disaster recovery и принципов production-инфраструктуры. — Опыт настройки мониторинга: Prometheus + Grafana, настройка метрик и алертов. — Опыт организации централизованного сбора и анализа логов: Loki/ELK/OpenSearch. — Опыт управления secrets: AWS Secrets Manager / Vault/OpenBao / External Secrets. — Навыки Linux administration и диагностики сетевых и системных проблем. — Опыт настройки RBAC/IAM и соблюдения принципа least privilege. — Практический опыт проектирования AWS-сети, поднятия EKS, развёртывания приложений и зависимых сервисов, организации ingress/DNS/TLS, CI/CD, monitoring/logging, backup и передачи production-ready инфраструктуры в эксплуатацию.

Задачи: — Подготовка деплой-пакетов и конфигураций, создание и поддержка Helm-чартов, Kubernetes-манифестов, стандартизация конфигураций; управление секретами, сертификатами и переменными окружения — Управление инфраструктурой как код (IaC): разработка и поддержка Terraform-модулей, Ansible-ролей для развертывания и настройки инфраструктуры (bare-metal, cloud, виртуализация) — Администрирование платформ оркестрации: установка, настройка и эксплуатация Kubernetes-кластеров (в том числе управление узлами, сетевыми политиками, storage, обновлениями) — Настройка наблюдаемости (observability): реализация сбора метрик, логирования и трассировки; настройка мониторинга (Prometheus/Victoria Metrics), алертинга (Alertmanager), визуализации (Grafana); обеспечение выполнения SLO/SLA — Обеспечение безопасности инфраструктуры: контроль доступа (RBAC, network policies), управление секретами, настройка политик безопасности подов, сканирование уязвимостей образов и конфигураций; участие в DevSecOps-практиках — Подготовка эксплуатационной документации и реагирование на инциденты: разработка runbook, процедур восстановления, участие в устранении инцидентов и постмортемах; поддержка готовности сервисов к продуктивной эксплуатации — Оптимизация ресурсов и надежности: мониторинг утилизации ресурсов, планирование емкости, оптимизация затрат (cost management) для облачных и on-prem решений; поддержка регулярных релизов и обновлений — Взаимодействие с командами разработки: консультирование по DevOps-практикам, совместная работа над архитектурой приложений, внедрение стандартов и инструментов, повышение культуры автоматизации — Участие в архитектурных решениях и планировании: оценка новых технологий, проектирование инфраструктуры, участие в формировании требований к доступности и производительности, декомпозиция технических задач Требования: — Опыт разработки и поддержки CI/CD пайплайнов (Jenkins, GitLab CI) — Уверенное владение Kubernetes: развертывание, настройка, управление кластерами, работа с Helm, операторами, сетевыми политиками — Практический опыт с Infrastructure as Code (Terraform, Ansible) — автоматизация развертывания инфраструктуры и конфигураций — Знание принципов observability: настройка Prometheus/Victoria Metrics, Grafana, Loki/ELK, Alertmanager, трассировка — Опыт работы с системами управления секретами (Hashicorp Vault, Kubernetes Secrets, внешние хранилища) и сертификатами — Понимание подходов DevSecOps: управление доступом, network policies, сканирование уязвимостей (SAST/DAST), работа с инструментами безопасности — Знание Git, работа с ветвлением, стратегии управления релизами Желательные навыки: — Опыт внедрения прогрессивных стратегий доставки (canary, blue-green, A/B) с использованием Argo Rollouts, Istio, Flagger — Знание SQL/NoSQL баз данных (PostgreSQL, MongoDB) на уровне администрирования и оптимизации — Опыт работы с Kafka (настройка, мониторинг, управление топиками) — Навыки написания runbook и документации, участие в постмортемах

Задачи: — участие в создании и поддержке аналитических решений для повышения эффективности маркетинговых кампаний; — применение методов машинного обучения, особенно uplift-моделирования, для оптимизации взаимодействия с клиентами и повышения ROI; — построение uplift-моделей по сегментам для разных групп; — разработка uplift-моделей для различных номиналов промоакций с последующей оптимизацией; — прогнозирование RFM; — участие в проведении A/B тестов, расчет финансовых эффектов от внедрения моделей, генерация признаков для моделей. Требования: — базовое понимание статистики и теории вероятностей; — опыт работы с Python (Pandas, NumPy); — знание основ машинного обучения (линейная регрессия, деревья решений, случайный лес); — понимание концепции uplift-моделирования; — опыт работы с табличными данными; — понимание принципов распределенных вычислений (PySpark); — опыт коммерческой разработки. Технологии и инструменты: — работа с данными: pyspark, SQL, S3; — классический ML и uplift: Scikit-learn, XGBoost, LightGBM, CatBoost, scikit-uplift; — разработка и версионирование: Jupyter Notebook, VS Code/PyCharm, git; — ML инфраструктура: JupyterHub, MLFlow, Airflow, PostgreSQL; — ML: Transformers, SGLang, Triton; — процессы: Jira, Confluence.

Задачи: — Обеспечение CI/CD-цикла по всем требованиям Банка на проекте АС AI HUB Блока Строительство; — Взаимодействие с разработчиками для оптимизации процессов сборки, развертывания и тестирования ПО; — Автоматизация процессов управления конфигурациями; — Соблюдение требований технических стандартов и метрик по всем вверенным системам; — Участие в формировании жизненного цикла системы, оптимизация производственного процесса; — Мониторинг и улучшение производительности систем, обеспечение отказоустойчивости и масштабируемости инфраструктурных компонентов; — Диагностика и устранение критичных сбоев и неполадок, работа над предотвращением ошибок; — Внедрение современного технологического стека, пилотирование перспективных решений (в т.ч. GenAI) в периметре ДИТ. Требования: — Готовность к офисному формату работы; — Знания сетевых технологий, протоколов; — Знания операционных систем Linux семейства RHEL; — Опыт администрирования СУБД PostgreSQL, как дополнительный плюс знания СУБД ClickHouse, Opensearch, Apache Ignite, Redis; — Понимание принципов работы векторных поисковиков (Qdrant, Pinecone, Weaviate и др.); — Опыт работы с современными методами работы с информацией (Retrieval-Augmented Generation, Semantic Search); — Знания систем контроля версий, в частности git. Знание методологий ветвления GitFlow, Trunk Based Development, а также методологии GitOps; — Опыт работы с ArgoCD, Jenkins, SonarQube, Hashicorp Vault, Apache Superset; — Опыт работы с Docker, Docker-compose, Kubernetes, как дополнительный плюс работы с Istio и EnvoyProxy; — Опыт работы с Jira и подобными инструментами. Условия: — Офисный формат работы (г. Москва, ш Варшавское Бизнес-центр Чайка Плаза, 25Астр6); — Льготные ипотечные условия кредитования; — Подписка Прайм с возможностью совместного использования на трёх близких; — Скидки на продукты компаний – партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие; — ДМС с первого дня и скидки на страхование для близких; — Корпоративная пенсионная программа; — Детский отдых и подарки за счет Компании; — Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификации.

Задачи: — выявлять, формализовывать и документировать требования стейкхолдеров к информационной системе — проводить интервью со стейкхолдерами — анализировать технические возможности и ограничения внешних систем — разрабатывать архитектуру информационной системы и спецификации её компонентов — проектировать доработки информационной системы — проектировать интеграции между информационными системами и их компонентами — документировать и исследовать API — управлять изменениями — ставить задачи дизайнерам и бизнес-аналитикам — проводить ревью дизайн-макетов — анализировать технические возможности реализации функционала — контролировать качество проектных решений и спецификаций в части системного анализа Требования: — опыт работы системным аналитиком от пяти лет — знание механизмов и протоколов авторизации, общих требований информационной безопасности и требований приказа ФСТЭК России № 117 — опыт проектирования и внедрения механизмов авторизации — знание UML, опыт разработки диаграмм последовательности и других статических и динамических моделей информационной системы — опыт разработки концептуальных и логических моделей данных, а также проектирования интеграций — знание принципов проектирования систем с микросервисной архитектурой — понимание принципов REST — знание протоколов HTTP/HTTPS — знание брокеров RabbitMQ и Kafka — навыки работы с инструментами Postman и Swagger — опыт работы с базами данных PostgreSQL и MongoDB, базовые знания SQL — знание основ проектного менеджмента — навыки ресурсного планирования Преимущества: — участие в разработке проектов туристической тематики и опыт работы с государственными проектами — опыт разработки регламентов, шаблонов и методических указаний, а также стандартизации внутренних процессов команды — опыт ведения сложной версионированной документации Условия: — конкурентная заработная плата с обсуждением условий по итогам личной встречи — удобный формат работы и гибкий график: удаленный или гибридный формат работы, офис в Москве, рядом с м. Алексеевская — стабильность: работа в аккредитованной IT-компании с 20-ти летней историей — соцпакет после полугода работы, дополнительные sick days — поддержка и обучение: опытные наставники, компенсация 50% стоимости дополнительного обучения — демократичность и отсутствие бюрократии: автоматизация процессов, быстрое принятие решений — позитивная атмосфера: выездные корпоративы и тематические вечеринки в офисе

Задачи: — Проектирование архитектуры высоконагруженных модулей личного кабинета, написание чистого, поддерживаемого кода на PHP (современные версии 8.x, Yii2) и Golang. — Проектирование схем данных, написание сложных запросов, оптимизация и настройка производительности PostgreSQL (индексы, партиционирование, работа с JSONB). — Написание unit- и интеграционных тестов для критически важных модулей, поддержание и развитие тестовой базы, контроль процентного покрытия кода тестами. — Внедрение практик тестирования в командный процесс, проведение код-ревью с фокусом на тестируемость кода. — Полный цикл доставки кода до продакшена, написание и поддержка пайплайнов в GitLab CI/CD, автоматизация сборки, тестирования и деплоя (бэкенд + фронтенд), обеспечение zero-downtime деплоя. — Тесное взаимодействие с фронтенд-разработчиками (стек React, TypeScript), ревью их кода, помощь в проектировании API. — Участие в код-ревью, поиск узких мест, рефакторинг легаси, написание тестов (unit/integration). — Наставничество и помощь в росте менее опытных коллег, участие в декомпозиции задач и оценке сроков. Требования: — Уверенное владение PHP, знание Yii2 (ООП, SOLID, паттерны проектирования). — Знание PostgreSQL: умение оптимизировать запросы, работа с большими объемами данных, знание внутренностей СУБД. — Опыт разработки на Golang или сильное желание и базовые знания для активного перехода на него. — Опыт настройки CI/CD в GitLab (написание пайплайнов, автоматизация деплоя). — Опыт написания автотестов (unit, integration) и понимание их роли в обеспечении стабильности продукта. — Понимание устройства современных SPA-приложений, опыт интеграции с React приложениями. — Опыт работы с очередями (RabbitMQ) и in-memory БД (Redis, Memcached). — Опыт работы в Linux, понимание сети, умение искать проблемы в логах. — Знание Docker, оркестрации (Kubernetes / Swarm) будет плюсом. — Хорошие коммуникативные навыки и умение писать документацию.

Задачи: — разработка и поддержка баз данных — сборка и поддержка .deb-пакетов Требования: — глубокое знание PHP, Node.js, JavaScript (React.js) — умение работать в командной строке в операционных системах AstraLinux, Debian — опыт работы с системами контроля версий git, svn — опыт работы с базами данных SQLite, PostgreSQL — знание скриптов на Bash, Python — опыт работы с CI/CD и Docker — образование: высшее, неоконченное высшее, среднее-специальное — готовность к оформлению 3 формы допуска — приветствуется опыт работы в сфере IT технологий и производства автоматизированных систем — знание Jira, Project — ответственность, организованность, системность, аналитический склад ума, целеустремленность, трудолюбие, пунктуальность, коммуникабельность, умение работать в команде, быстрое усвоение новой информации, обучаемость Условия: — работа в крупной аккредитованной IT-компании — оформление по ТК РФ, оплачиваемый отпуск и больничный лист — офис в 5 минутах ходьбы от станции метро Нагатинская или 7 минутах от МЦК Верхние Котлы — график работы 5/2 с 9:00 до 18:00, по пятницам до 16:45 — столовая в здании офиса — конкурентный уровень заработной платы (обсуждается по результатам собеседования)

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration. - Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably. - Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks. - Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces. - Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable. - Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences. - Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale. - Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions. - Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution. - Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution. - Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks. - Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems. - Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks. - AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Anywhere in France, Belgium, Spain 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 ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE INFRA CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 Mission: - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run. 🔭 Scope: 1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion. 2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code. 3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale. 4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew. 5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work. 👀 Focus for 2026: In 2026, we're growing the team significantly to step up impact across four bets: - Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies. - Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M. - Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices. - AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles. - You have strong experience with cloud platforms (especially AWS or GCP). - You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!). - You have touched observability, monitoring, alerting or incident management tools and practices. - You are able to design and implement robust infrastructure systems with a focus on reliability and observability. - You can maintain our uptime targets while optimizing infrastructure costs. - You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers. MINDSET WE VALUE - You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless. - You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale. - You’re fluent in English (French is not required). For this opportunity, we are aiming to hire above C1 level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 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 learnings 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 #LI-DNP

Задачи: — Выстроить продуктовую аналитику: события, воронки, ключевые метрики. — Считать и визуализировать метрики по данным продукта (SQL, PostgreSQL). — Анализировать поведение пользователей в вебе, iOS и Android. — Формулировать и проверять продуктовые гипотезы, готовить выводы для команды. — Помогать в описании требований к новым фичам вместе с продуктом и разработкой. Требования: — Опыт работы продуктовым аналитиком от 1 года. — Уверенный SQL. — Понимание продуктовых метрик (retention, конверсии, воронки, когорты). — Знание статистики: проверка гипотез, значимость, доверительные интервалы. — Опыт проведения A/B-тестов: дизайн, расчёт выборки, интерпретация результатов. — Опыт построения дашбордов и отчётов. Будет плюсом: — Python (pandas) для анализа данных. — Опыт в медтехе или health-продуктах.

Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia If you want to build and own the systems that decide what JetBrains customers are entitled to use and bill them accurately for it, this is for you. You will focus on designing backend services, keeping complex commercial flows correct, and tackling hard distributed systems challenges on the critical path of every paid request. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do At JetBrains, the Cloud Platform department builds the underlying infrastructure that powers authentication, paid capabilities, usage metering, and accounting. Within this department, the Licensing & Billing team sits right at the center of our commercial model, turning what a customer buys into what they are actually allowed to use, and accounting for that consumption accurately enough to bill on. The complexity of our entitlement, quota, and metering systems continues to grow. In this role, you will own the correctness and evolution of these backend services, take full ownership of end-to-end data flows, tackle distributed consistency across unreliable upstream systems, and ensure revenue-affecting data migrations happen cleanly without taking services offline. Day to day, you will: Design, build, and operate backend services that decide what a customer is entitled to and what their usage costs. Own flows end to end, from ingesting licensing and purchase data from upstream systems to enforcing quotas and recording consumption. Evolve our domain model to handle new commercial structures, combining seat-based plans and usage-based models. Design integrations with external systems, ensuring correctness through idempotency, ordering, reconciliation, and eventual consistency. Plan and execute live data migrations using feature flags, dual writes, backfills, and verification at every stage. Build observability into our systems by defining invariants, metrics, and alerts to catch silent divergence before customers do. Design internal APIs with explicit focus on versioning, backward compatibility, and developer experience for other JetBrains teams. Improve system performance and reliability under continuous production load while decommissioning legacy subsystems. Write integration tests against real dependencies and maintain reliable test infrastructure. Investigate production incidents, find root causes, and follow through on lasting fixes. What you’ll bring An engineer’s dedication to accuracy, especially in domains where system errors have direct financial impact. Pragmatic judgment when designing distributed systems where correctness under unreliable delivery is the main constraint. A habit of trusting metrics, traces, and logs to understand production behavior rather than relying on assumptions. Comfort navigating and simplifying large existing codebases containing legacy decisions. Clear, direct communication skills to agree on API contracts across teams with different priorities. A focus on testing as an essential design tool rather than an afterthought. What you’ll need A proven track record of building and operating backend services on the JVM platform using Kotlin or Java. A solid working knowledge of relational databases, including transactions, isolation levels, locking, indexing, and live schema migrations (PostgreSQL preferred). A deep understanding of distributed systems patterns, such as idempotency, retry strategies, eventual consistency, and data reconciliation. Practical experience making live data migrations or system changes without downtime using feature flags and staged rollouts. Experience designing versioned, backward-compatible APIs for other engineering teams. Hands-on experience with event-driven architectures and message brokers like Kafka. The ability to diagnose, debug, and resolve production incidents in complex environments. Proficiency in both written and spoken English. What success looks like Success in this role means building a bulletproof entitlement and metering foundation that product teams can trust without hesitation. You will have successfully migrated live commercial systems to support new billing models without downtime or data divergence. Silent errors will be caught automatically by system invariants before affecting users, and internal teams will integrate seamlessly with your clean, versioned APIs. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role) Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-KT1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: United Kingdom (Remote); United Kingdom (Hybrid) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth. ABOUT THE ROLE We're hiring Senior Backend Engineers to join one of our cross-functional product squads - working closely with other engineers, designers, analysts, and product partners to build features that improve our users' financial health. We care far more about how you think than which language you've used before. Much of our product runs on Ruby today, but we deliberately hire polyglot engineers: if you've shipped meaningful product work in any modern stack, you'll ramp quickly here. Key responsibilities for this role include: - Shape the direction of upcoming work - break down ambiguous problems with your squad and help drive projects from early discovery through to shipped impact - Build and evolve the APIs, data models, and business logic behind our product; no Ruby experience required, just strong fundamentals and sound judgement on trade-offs - Contribute to testing, observability, and experimentation, and help continuously raise the bar on developer experience and product quality - Drive high-impact initiatives such as our secured credit card, budgeting and financial insight features, and subscription/pricing experiments - Mentor engineers at your level and beyond, share knowledge generously, and help build a culture where people grow quickly and have real influence WHAT WE'RE LOOKING FOR - An experienced engineer with solid fundamentals, having worked across any modern tech stack - the specific language matters less than your ability to reason clearly, learn quickly, and think in trade-offs - A track record of writing maintainable, thoughtful code and making sound technical decisions with minimal oversight - Comfortable working with Ruby, or confident you can ramp up quickly in it - deep Ruby experience isn't required - Strong collaboration skills with product, design, and data partners, with genuine curiosity about users and their problems - Experience mentoring or raising the bar for engineers around you, and contributing positively to team culture - Motivated by Cleo's mission - you care about building products that genuinely improve people's financial health - Alignment with our engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles - autonomy, accountability, pragmatism, and building things that matter WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

О позиции Разработка дашбордов и аналитики на Apache Superset с элементами AI для поддержки экспертизы лекарственных средств и медицинских изделий. Обязанности • Разработка и поддержка интерактивных дашбордов в Apache Superset • Написание и оптимизация сложных SQL-запросов, создание витрин данных • Кастомизация дашбордов (Jinja, CSS, Python) • Внедрение AI/ML-решений для аналитики и прогнозирования • Взаимодействие с заказчиками, сбор требований, презентация результатов Требования • Высшее техническое / ИТ-образование • Опыт BI-разработчика от 2 лет • Опыт работы с Apache Superset от 1 года • Продвинутый SQL • Опыт работы с PostgreSQL / ClickHouse / MS SQL • Знание Python (Pandas, SQLAlchemy) • Понимание DWH и моделирования данных Будет плюсом: опыт AI/ML в аналитике, Power BI/Tableau, Airflow, работа в фарме или госсекторе. Условия • Зарплата от 500 000 тенге • Работа в офисе в Астане • Социальный пакет по ТК РК • Участие в проектах цифровизации государственной экспертизы

Задачи: — Анализ бизнес- и операционных данных — SQL-запросы и работа с PostgreSQL, MongoDB — Подготовка отчётности и дашбордов в Power BI — Расчёт KPI, ad-hoc аналитика, поиск закономерностей и аномалий — Обработка и автоматизация данных с помощью Python Требования: — Опыт Data Analyst от 2 лет — Уверенный SQL — Практический опыт с PostgreSQL и MongoDB — Python (pandas), Power BI — Аналитическое мышление и понимание бизнес-метрик — MongoDB Aggregation Pipeline будет плюсом Условия: — Собственные IT-продукты в логистике и e-commerce — Реальные возможности карьерного и профессионального роста. — Корпоративные мероприятия, льготная программа Invictus GO и динамичная корпоративная культура.