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Location: Москва Мы - направление Сбербанк Онлайн и AI-помощник в дивизионе Премиальный сегмент. Наша общая цель – развивать интеллектуальные сервисы для повышения качества обслуживания премиальных клиентов и эффективности работы сотрудников. Одно из ключевых направлений – комплексный AI-анализ коммуникаций менеджеров с клиентами: анализ транскрибированных диалогов и аудиосигнала, контроль стандартов обслуживания, выявление эскалаций и пропущенных элементов, анализ тональности и речевых характеристик, а также формирование рекомендаций для сотрудников и руководителей. **Почему мы:** ·      Развиваем прикладные AI-решения, которые быстро проверяются на реальных бизнес-сценариях; ·      Есть возможность работать не только с LLM и prompt-based подходами, но и с классическим ML, NLP, Speech и собственными моделями; ·      Доступна внутренняя инфраструктура для обучения моделей и использования GPU-ресурсов; ·      Можно участвовать в развитии решений на базе GigaChat, RAG, LoRA и агентных подходов; ·      Небольшая AI-команда: заметное влияние на архитектуру, эксперименты и итоговый продукт; ·      Сильное бизнес- и IT-окружение, высокие темпы вывода решений в эксплуатацию. Обязанности ·  разрабатывать и поддерживать высоконагруженные Python-сервисы (FastAPI), обеспечивающие работу AI-компонентов · проектировать и разрабатывать REST/gRPC API для интеграции AI-моделей с бизнес-системами; · строить надежные data-pipeline: от приема сырых данных (Kafka) до выдачи результатов в PostgreSQL и внешние системы; · работать с асинхронным кодом (asyncio) для обработки потоков данных в реальном времени · интегрировать LLM и RAG-сервисы в продуктовый контур через API · готовить данные для экспериментов, формировать обучающие и валидационные выборки · участвовать в Code Review, технических обсуждениях, документировании решений и выводе сервисов в промышленную эксплуатацию. Требования · уверенное владение Python (3.9+) для разработки высоконагруженных бэкендов, понимаете GIL, асинхронность и многопоточность · практический опыт с FastAPI, Pydantic, SQLAlchemy/asyncpg, asyncio и разработкой REST/gRPC API · умение проектировать и оптимизировать схемы PostgreSQL, писать сложные SQL-запросы, использовать индексы и понимать принципы работы MVCC · опыт работы с брокерами сообщений (Kafka/RabbitMQ), понимание моделей доставки, партиционирования и идемпотентности · понимание принципов контейнеризации (Docker) и базовых практик CI/CD · умение писать надежный, покрытый тестами код (pytest, coverage) и проводить code review · понимание принципов работы LLM, prompt engineering, RAG и подходов к оценке качества генеративных моделей · умение проводить воспроизводимые эксперименты и аргументированно сравнивать несколько подходов к одной задаче · самостоятельность, готовность разбираться во внутренней инфраструктуре и ограничениях корпоративного контура · умение объяснять результаты экспериментов разработчикам, аналитикам и бизнес-заказчикам. **Будет плюсом:** ·      опыт Speech/Audio ML: acoustic features или анализ эмоций по аудио ·      опыт в NLP: классификация текстов, embeddings, transformers, извлечение признаков или близкие задачи ·      опыт fine-tuning LLM, LoRA, работы с embeddings и векторным поиском ·      опыт с CatBoost/LightGBM и predictive ML-задачами ·      опыт разработки или эксплуатации ML-сервисов, контейнеризации и оркестрации ·      опыт работы в крупных корпоративных контурах с повышенными требованиями к безопасности. Условия ·      гибкий график начала рабочего дня ·      уровень заработной платы определяем по итогам собеседования, отталкиваемся от ваших ожиданий ·      команда профессионалов своего дела ·      возможность развития по направлениям ·      ДМС с 1-го дня работы ·      обучение и сертификация за счет компании (в том числе обучение английскому языку компенсируется) ·      скидки от партнеров и корпоративные программы ·      рыночная заработная плата и годовая премия по итогам ·      выстроенные процессы по адаптации, оценке и понятную систему роста в компании; ·      наставник на период адаптации и корпоративную жизнь, в которой можно участвовать по желанию ·      сплоченная команда, agile-практики и помощь в профессиональном развитии.

Задачи: — проектировать архитектуры решений (High-Level Design) и декомпозировать на сервисы — выбирать технологический стек и обоснование архитектурных решений — разрабатывать и согласовывать нефункциональные требования (SLA, производительность, безопасность) — контролировать соблюдения архитектурных стандартов и гайдлайнов в командах разработки — участвовать в Code Review на архитектурном уровне — менторить разработчиков и системных аналитиков по вопросам архитектуры — взаимодействовать со стейкхолдерами для сбора и формализации требований Требования: — опыт в IT-архитектуре от 5–7 лет — глубокое знание Java-стека (Core, Spring, Hibernate) — экспертиза в проектировании распределённых систем и микросервисной архитектуры — опыт работы с высоконагруженными системами (Highload) — понимание принципов Domain-Driven Design (DDD) — знание паттернов проектирования (GoF, Enterprise Integration Patterns) — опыт работы с брокерами сообщений (Kafka, RabbitMQ) — уверенное владение нотациями UML, C4 Model — навыки работы с базами данных (SQL, NoSQL) и понимание принципов их масштабирования — опыт работы с Docker и Kubernetes

Задачи: — Разрабатывать сервисы потоковой обработки данных для ML-моделей: приём событий из Kafka, вычисление и обновление признаков, выдача их моделям в реальном времени — Проектировать и разворачивать микросервисы на Python (FastAPI, asyncio) в Kubernetes — Поддерживать, улучшать и масштабировать работающие сервисы: стабильность, наблюдаемость, отказоустойчивость — Вместе с командой разбирать потребности заказчиков и превращать их в инженерные решения Требования: — Опыт коммерческой разработки на Python от 4х лет, уверенный asyncio — Опыт коммерческой работы с FastAPI — PostgreSQL: проектирование схем и написание запросов — SQLAlchemy как ORM, Alembic для миграций — Docker и Kubernetes: разворачивали и эксплуатировали свои сервисы — Kafka — понимать основные механизмы: продюсеры и консьюмеры, партиции и consumer groups, что происходит при сбое и повторной доставке сообщений Будет плюсом: — Redis — Опыт с другими брокерами сообщений (RabbitMQ, Redis Streams) — Понимание, как устроены ML-контуры и зачем моделям свежие данные — интерес к LLM

Задачи: — Разработка и поддержка интеграционных решений на базе интеграционной шины — Интеграция систем через брокеры очередей (JMS / Oracle AQ, RabbitMQ, ActiveMQ) — Использование Kafka как транспорта (без Kafka Streams, Connect и Schema Registry) — Применение интеграционных шаблонов (Message Router, Splitter, Aggregator, Idempotent Consumer, Dead Letter Channel и др.) с использованием готовых компонентов (Apache Camel, Spring Integration) — Документирование разработанных решений в Confluence по шаблонам банка — Передача решений в команду тестирования, специальных требований по покрытию тестами (JUnit 5, Mockito, Testcontainers) нет, достаточно функциональной интеграции Требования: — Знание Java 8 или 11 на уровне Senior — Опыт работы с интеграционной шиной — любой из: WSO2 (идеально), IBM App Connect, Oracle Service Bus, Apache Camel, MuleSoft — Опыт работы с брокерами очередей: JMS / Oracle AQ (текущий), RabbitMQ, ActiveMQ — Понимание интеграционных шаблонов из книги «Enterprise Integration Patterns» (Hohpe & Woolf), важно не просто знание терминов, а понимание, как шаблон себя поведёт — Опыт документирования разработанных систем в Confluence Будет плюсом: — Опыт с RabbitMQ и ActiveMQ (в дополнение к JMS) — Опыт работы с Kafka как транспортом — Опыт использования Apache Camel или Spring Integration для реализации шаблонов APPLE

Location: Baku, Azerbaijan Workplace: none PAŞA Sığorta ASC namizədləri Texnoloji həllər departamentində Texniki Lider vəzifəsinə müraciət etməklə peşəkar komandanın üzvü olmağa dəvət edir. Cross-functional squad çərçivəsində məhsulun texniki istiqamətinə, end-to-end delivery və etibarlılığına cavabdeh olacaq Texniki Lider axtarırıq. Bu rolda siz Məhsul Sahibi və komanda ilə sıx əməkdaşlıq edərək biznes prioritetlərinin texniki həllərə çevrilməsində, system design və rüblük planlaşdırmada iştirak edəcək, məhsulun stabil və proqnozlaşdırıla bilən çatdırılmasını təmin edəcəksiniz. Öhdəliklər Squad çərçivəsində məhsulun end-to-end çatdırılma prosesinə cavabdehlik; Məhsul üzrə yeni həllərin, dəyişikliklərin və inteqrasiyaların system design prosesində iştirak etmək; Məhsul Sahibi ilə birlikdə rüblük planlaşdırmada iştirak etmək, biznes prioritetləri, texniki təşəbbüslər, asılılıqlar və məhsulun etibarlılığı arasında düzgün balansı təmin etmək; Sprint çərçivəsində tapşırıqların vaxtında icrasını təmin etmək, texniki riskləri, asılılıqları və maneələri idarə etmək; Məhsulun production mühitində etibarlılığına cavabdehlik, o cümlədən insidentlərə reaksiya, kök səbəb analizi və insidentlərin aradan qaldırılması; Development və delivery prosesinin bütün mərhələlərində PDLC/SDLC proseslərinə riayət olunmasını təmin etmək; Məhsul Sahibi və IT Biznes Analitik ilə birlikdə tələblərin texniki dekompozisiyasını həyata keçirmək; Cross-functional komandanın (Backend, Frontend/Mobile, QA, DevOps və IT Biznes Analitik) texniki işini koordinasiya etmək. Bilik və Bacarıqlar Java/Spring Boot və ya C#/.NET üzrə güclü texniki təcrübə; System Design, distributed və microservice arxitekturası üzrə güclü biliklər; Kafka və/və ya RabbitMQ ilə praktiki iş təcrübəsi; Relyasiyalı və NoSQL verilənlər bazaları ilə iş təcrübəsi; Docker, Kubernetes və CI/CD üzrə yaxşı anlayış; Etibarlılıq, monitorinq, müşahidə və insidentlərin idarə edilməsi prinsiplərini anlamaq; Alqoritmlər və məlumat strukturları üzrə güclü biliklər; Cross-functional Agile komandalar ilə iş təcrübəsi; Güclü problem həll etmə, kommunikasiya və əməkdaşlıq bacarıqları; Yüksək təşkilatçılıq, məsuliyyət və detallara diqqət; Dil bilikləri: Azərbaycan, İngilis Təhsil və Təcrübə Minimum 1 il Tech Lead təcrübəsi və ya squad/məhsul üzrə end-to-end çatdırılma məsuliyyəti daşımış Senior Engineer təcrübəsi. Biz Sizə Təklif Edirik Dəyər yaradan işlər Qərarların qəbulunda iştirak etmək, dəyişikliklərə təsir göstərmək və şirkətin uğuruna töhfə vermək imkanı. Birlikdə güclənən komanda Peşəkar, dəstəkləyici və əməkdaşlığa açıq komanda mühitində çalışma imkanı. Davamlı inkişaf imkanları Yeni biliklər əldə etmək, təcrübənizi zənginləşdirmək və peşəkar inkişafınızı davam etdirmək üçün geniş imkanlar. Etimada əsaslanan iş mühiti Fikirlərinizə dəyər verilən, təşəbbüslərinizin dəstəkləndiyi və inkişafınıza investisiya qoyulan iş mühiti. *Yalnız ilkin seçim tələblərinə cavab verən namizədlərlə əlaqə saxlanılacaqdır. PASHA Insurance OJSC invites candidates to apply for the position of Tech Lead and become a member of our professional team. We are looking for a Tech Lead who will take technical ownership of a product within a cross-functional squad and be accountable for its end-to-end delivery and reliability. In this role, you will work closely with the Product Owner and the squad to turn business priorities into scalable technical solutions, contribute to system design and quarterly planning, and ensure stable and predictable delivery throughout the product lifecycle. Responsibilities Own the end-to-end delivery of the product within the squad; Participate in system design for new solutions, changes, and integrations within the product; Partner with the Product Owner in quarterly planning, ensuring the right balance between business priorities, technical initiatives, dependencies, and product reliability; Ensure timely delivery of sprint commitments while managing technical risks, dependencies, and blockers; Be accountable for product reliability in production, including incident response, root cause analysis, and resolution of underlying issues; Ensure adherence to PDLC/SDLC processes throughout all stages of development and delivery; Drive technical decomposition of requirements together with the Product Owner and IT BA; Coordinate technical activities across the cross-functional team, including Backend, Frontend/Mobile, QA, DevOps, and IT BA. Knowledge and Skills Strong technical background in Java/Spring Boot or C#/.NET; Strong knowledge of System Design and distributed/microservice architectures; Hands-on experience with Kafka and/or RabbitMQ; Experience with relational databases and NoSQL; Good understanding of Docker, Kubernetes, and CI/CD; Understanding of reliability, monitoring, observability, and incident management; Strong understanding of algorithms and data structures; Experience working in cross-functional Agile teams; Excellent problem-solving, communication, and collaboration skills; Highly organized, responsible, and detail-oriented; Language skills: Azerbaijani, English Education and Experience Minimum 1 year of experience as a Tech Lead, or experience as a Senior Engineer with responsibility for E2E delivery of a squad/product. What We Offer Meaningful Work Opportunity to contribute to the Company’s success by participating in decision-making processes and driving positive change. A Team That Grows Together Opportunity to work in a professional, supportive, and collaborative team environment. Continuous Development Opportunities Access to a wide range of learning and development opportunities to enhance your knowledge, skills, and professional experience. A Trust-Based Work Environment A workplace where your ideas are valued, your initiatives are encouraged, and your professional growth is supported. *Only candidates who meet the initial selection criteria will be contacted.

Location: Worldwide Workplace: remote We are looking for a Data Engineer to join our team.Requirements: 3+ years of experience in data engineering; Strong SQL: complex analytical queries and query optimization; Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); Hands-on experience with Airflow (building and maintaining DAGs); Experience with dbt (models, tests, macros); ClickHouse: table engines, Materialized Views, performance tuning; Kafka: producers/consumers, topics and partitioning, delivery guarantees; Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); Solution-oriented mindset and ownership of results.Responsibilities: Support and develop our in-house data enrichment solution built on event sourcing; Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; Implement data quality checks for Airflow DAGs and ClickHouse MVs; Automate repetitive tasks and establish Data Engineering best practices and standards; Write and maintain technical documentation.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Location: Limassol, Cyprus We are looking for a Data Engineer to join our team.Requirements: 3+ years of experience in data engineering; Strong SQL: complex analytical queries and query optimization; Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); Hands-on experience with Airflow (building and maintaining DAGs); Experience with dbt (models, tests, macros); ClickHouse: table engines, Materialized Views, performance tuning; Kafka: producers/consumers, topics and partitioning, delivery guarantees; Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); Solution-oriented mindset and ownership of results.Responsibilities: Support and develop our in-house data enrichment solution built on event sourcing; Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; Implement data quality checks for Airflow DAGs and ClickHouse MVs; Automate repetitive tasks and establish Data Engineering best practices and standards; Write and maintain technical documentation.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role We’re looking for a Backend Engineer to join one of our teams that keeps frameworks lean and focuses on what matters: clean, maintainable code, shipped fast with TDD, DDD, and continuous integration and delivery. We are a Go shop, and while we’re busy migrating away from our Ruby monolith, our stack includes PostgreSQL, MongoDB, RabbitMQ, Redis, gRPC, and Thrift. Everything runs on AWS and Kubernetes, managed via Terraform. Our interview process includes a recruiter screen, algorithms and live coding. Senior+ candidates also complete a system design section. Responsibilities Write high-quality, performant code primarily in Go. Implement new microservices while helping us responsibly manage and migrate away from legacy services. Work closely with product managers, designers, and data scientists to turn abstract requirements into concrete technical designs. Ensure our systems stay responsive under heavy load, optimising for both latency and reliability. Requirements 3+ years of experience building and maintaining scalable backend services. We use Go. If you know it, great. If not, we’ll interview you in your strongest language (Python, C++, Ruby). In-depth knowledge of relational and NoSQL databases (PostgreSQL, MongoDB, Redis) and experience with message brokers like RabbitMQ or Kafka. Upper-Intermediate (B2) English proficiency or higher. You should be comfortable debating technical trade-offs with your peers. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: London, United Kingdom Workplace: fully About InvestEngine We're a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we're just getting started. We've been featured by MoneyWeek, Finder and Forbes, and we're growing fast with big ambitions. About the Role We're looking for a Senior Backend Engineer to join our Portfolio Team and help build the core investment products our clients use every day. The team owns portfolio creation, Managed Portfolios and related portfolio operations. This is product development work: you'll turn product ideas into reliable, well-built backend features that directly shape how clients invest. You'll write high-quality code, raise the bar through thoughtful code reviews, contribute to architecture and lead projects from requirements to production. You'll work closely with Product, frontend, QA, mobile and design in a small, autonomous team with a clear roadmap. What You'll Do Design, develop and maintain backend services in Python 3.11 using Django / DRF Build features for portfolio creation, Managed Portfolios and portfolio operations Lead roadmap projects end-to-end: clarify requirements with Product, propose the technical design, break down the work and ship it Design and build RESTful APIs used by our web and mobile apps Give constructive, high-quality code reviews and help raise the team's engineering standards Take part in architecture discussions and contribute to technical decisions Work with MySQL and Redis Identify and reduce technical debt Collaborate closely with Product, frontend, QA, mobile and design Contribute to the evolution of our architecture and engineering practices What We're Looking For 5+ years of experience in backend development Strong Python skills and solid software engineering fundamentals A good understanding of software architecture and service design Solid experience with relational databases and REST API design A track record of writing clean, maintainable, well-tested code Experience leading projects or features from idea to production The ability to pick up new codebases and technologies quickly Strong ownership, organisation and a collaborative working style Familiarity with Git, CI/CD practices and modern engineering workflows English B2+ and fluent Russian Nice to Have Experience with Django or Django REST Framework (not required, since strong fundamentals matter more than an exact framework match) Experience in fintech, investing, wealth management or another regulated industry Familiarity with AWS and Docker Experience with RabbitMQ, Kafka or other message brokers Experience using AI-assisted development tools in your daily work Contributions to open source or personal side projects How We Work We're a lean, collaborative team where engineers have real influence on architecture, technical decisions and engineering culture. The Portfolio Team is strong and autonomous. We work in two-week sprints with Product involved throughout, and we have a clear 3–6 month roadmap. You'll have the freedom to make technical decisions and own meaningful parts of the product without micromanagement or unnecessary bureaucracy. What We Offer Impact from day one: work on core investment products used by more than 150,000 clients Ownership: lead projects and become the go-to backend owner for key areas of the Portfolio domain Technical growth: influence architecture and technical decisions Modern tech stack: Python 3.11, Django, MySQL, Redis, AWS, GitHub, TeamCity Remote-first and flexible: work from anywhere, at your own pace Unlimited vacation: take time off when you need it, with no fixed limits Supportive team: thoughtful, skilled colleagues who care about quality and results Hiring Process HR interview Technical interview with the Backend team Conversation with the Portfolio team leadership Gamified cognitive assessment to understand how you think and solve problems

Задачи: — Разрабатывать и совершенствовать платформу данных электронной коммерции нового поколения — Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino — Оптимизировать действующие пайплайны и джобы на Spark, мониторить нагрузку на кластер и оптимальность ресурсов, при необходимости оптимизировать — Взаимодействовать с аналитиками и ML специалистами для создания и развертывания инструментов и наборов данных, поддерживать связи с data ops для развития дата-платформы — Анализировать и внедрять инструменты инжиниринга данных (Lineage, DQ) — Проектировать хранилища данных на основе Kubernetes, настраивать производительность, мониторинг, планировать емкости кластера и инфраструктуры — Решать задачи, связанные с внедрением облачной инфраструктуры, разрабатывать новую архитектуру хранилища — Проводить code review и участвовать в архитектурных решениях по дата платформе Требования: — Понимание ресурсной модели Kubernetes, просмотр конфигураций, troubleshooting — Опыт работы с Hadoop (HDFS, Hive Metastore) — Опыт работы со Spark (spark SQL, streaming, понимание нюансов работы с pyspark) — Владение процедурами, snapshots, maintenance Apache Iceberg — Глубокое понимание Airflow (версии 2, 3), включая идемпотентность, assets, backfills — Уверенное знание Git, CI/CD — Знание Python, Scala/Java, ООП, проектирование библиотек, интеграционные и юнит тесты — Хорошее понимание СУБД, SQL Будет плюсом: — Опыт работы с Docker для поднятия локального окружения проекта — Опыт работы с Kafka, понимание архитектуры и слабых мест — Опыт с облачными технологиями, преимущественно Yandex Cloud — Опыт с Clickhouse — AI-native подход к разработке: использование Claude Code / Codex и подобных инструментов, опыт построения harness-систем — агентов с инструментами, автоматизации через LLM, RAG

Задачи: - Писать программный код на языке Java с использованием лучших практик - Определять оптимальные подходы и технологии для реализации текущих задач - Заниматься декомпозицией бизнес требований и постановкой задач участникам команды - Контролировать сроки и качество их выполнения, кросс-ревью - Координировать процессы разработки с командой разработчиков - Проводить техническое ревью постановок от группы анализа и участвовать в оценке трудоемкости Требования: - Коммерческая разработка на Java от 5 лет - Опыт в аналогичной должности не менее 2 лет - Отличное владение Java Core - Практический опыт работы с Spring Framework (с пониманием как работают модули под "катопом") - Опыт работы с сервером приложений (Apache Tomcat, с понимание как устроен и работает) - Понимание концепций работы реляционных БД (PostgreSQL) - Опыт проектирования БД и отличное знание SQL (PostgreSQL) - Практический навык оптимизации SQL запросов - Опыт работы с Apache Kafka - Опыт с Docker и Kubernetes Условия: - Внутренние семинары, внутренние митапы, мы очень любим учиться новому - ДМС со стоматологией для сотрудников и скидку на покупку ДМС для ближайших членов семьи - Технику для комфортной работы - Гибридный формат работы в комфортабельном офисе

Задачи: — ручное тестирование: проверка критических инцидентов, проведение регрессионного и смоук-тестирования карточного модуля; — автоматизация: написание «с нуля» и поддержка существующих автотестов на Java; — интеграционное тестирование: проверка взаимодействия модуля с процессингом и внутренними банковскими системами; — работа с БД: верификация корректности проведения транзакций и изменения статусов карт; — документация: ведение тестовых сценариев (Test Cases) и актуализация тестовых планов. Требования: — опыт в QA от 1–3 лет (желательно в сфере FinTech, Banking или E-commerce); — уверенные знания Java (Core); — опыт работы с фреймворками тестирования JUnit / TestNG; — опыт работы с инструментами сборки Maven / Gradle; — глубокое понимание REST / SOAP; — опыт работы с Postman и SoapUI; — уверенное владение SQL; — опыт работы с Git, Jira, Confluence; — понимание процессов CI/CD (Jenkins / GitLab CI); — понимание жизненного цикла и логики работы платежных карт (эмиссия, эквайринг, авторизация, клиринг); — опыт тестирования очередей сообщений (Kafka, RabbitMQ); — знание инструментов нагрузочного тестирования (JMeter). Условия: — стабильный и прозрачный доход: размер заработной платы обсуждается по итогам собеседования + квартальная и годовая премия по результатам эффективности работы; — график работы с 9:00 до 18:00, 5/2; — курсы по запросу и поддержка в карьерном развитии через программы внутреннего обучения на корпоративной платформе HCB UpSkill; — конструктор льгот OLZHA: кэшбек на здоровье, спорт, путешествия и саморазвитие в рамках утверждённых лимитов; — комфортная среда: ультрасовременный и уютный офис HCB HUB с летней террасой, спортивным залом, столовой, кофейней, библиотекой и зонами отдыха; — забота о здоровье: групповые тренировки, йога-классы и массаж; — яркая корпоративная жизнь: мероприятия, конкурсы, квизы, клубы по интересам; — Merch Store — возможность заработать «спасибо» и обменять их на брендированные продукты и активности с топ-менеджментом; — приятные скидки и привилегии: специальные условия на продукты банка, корпоративные скидки до 20% на фитнес-клубы, клиники и магазины-партнёры; — реферальная программа: вознаграждение за рекомендации друзей и знакомых на вакансии банка; — дресс-код в стиле Smart Casual.

Location: Armenia; Poland; Georgia; Serbia Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Go Developer to join our dynamic team on a full-time basis. The role requires a self-sufficient engineer who can understand business requirements, collaborate with analysts and teammates, and deliver stable, production-ready solutions. What You will do: • Participate in backlog refinement sessions. • Review business requirements and validate technical solutions. • Contribute to implementation planning. • Develop integration services with external providers and public systems. • Implement fiscalization and electronic invoicing functionality. • Deliver production-ready solutions. • Maintain service stability through monitoring, logging, and incident response. • Collaborate on regulatory services. • Independently deliver integration tasks after onboarding. Requirements • Strong commercial experience with Go, including: - Memory management - Garbage collection - Concurrency • Experience building REST APIs. • Experience with Kafka for asynchronous messaging. • Strong knowledge of MySQL (or another relational database), including: - Transactions - Indexes - Locking mechanisms • Experience implementing Redis caching strategies. • Experience with Docker and Kubernetes, including Helm. • Hands-on experience with CI/CD pipelines (GitLab CI or GitHub Actions).

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview As a Backend Staff Engineer at Fanatics Core, you are a recognized technical leader. You operate both strategically and hands-on while leading ambitious projects, and your solutions set the standard for the team. Your bold decisions balance immediate business needs with long-term technical excellence. Through your leadership, you cultivate a culture of excellence and innovation that leaves a lasting impact on both your immediate team and the broader mobile team. Lastly, you are user-obsessed and know how to drive features from the backend all the way to the frontend. We own the Fanatics App, the brand-forward application of Fanatics that encompasses elements of all of our different brands and businesses. The Fanatics App brings together Free to Play games, live events, ecommerce, and new product experiences to deliver a new Sports platform. Fundamentally, we are one team in everything we do from the user experience to coding and architecture. In order to deliver on our Customer Promise, we use best in class technologies; thus allowing platforms to be as up to date as possible so that we can rapidly deliver and innovate in this exciting new market. Every time a fan places a bet, earns a reward, or checks out on Fanatics — Fanatics Core made that possible. We build the shared foundations — identity, payments, loyalty, wallet, data, and platform — that power sports betting, ecommerce, collectibles, and beyond. We supercharge the business by providing products and capabilities so that teams can focus on what matters most: building delightful experiences for the fans. Responsibilities Drive the development, testing, documentation, and deployment of high-quality, scalable software into production Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to shape team strategy and influence the direction of the organization Lead the end-to-end technical execution of complex features and systems, from ideation and architecture to deployment and refinement Define and enforce engineering principles, guidelines, and best practices Partner closely with product, design, and other stakeholders to make high-impact technical decisions that align with both business goals and long-term scalability Lead incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues Proactively identify and remove roadblocks, occasionally collaborating cross-team collaboration to maintain momentum on complex projects Conduct and elevate code reviews, sharing expertise to enhance code quality Steer team planning and design discussions, introducing innovative approaches to solve technical challenges and optimize design patterns Champion improvements to software quality, testability, operational metrics, and team documentation, setting a higher standard for the organization Mentor and coach engineers at all levels, fostering a culture of continuous learning and professional growth across the team Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable, performant and evolvable backend distributed systems; proficiency in Spring with Kotlin and/or Java is a plus. Demonstrated ability to drive best practices in backend development and mentor others in effective coding and architectural strategies, such as clean code, hexagonal/layered architectures, domain driven design and other design and architectural patterns Knowledge of observability practices , including logging, monitoring, and tracing in distributed systems. Expertise in Agile software delivery , with a track record of modeling and driving process improvements across teams, and ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success. Excellent communication skills , capable of conveying complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders. Team-first mentality , with a willingness to do what it takes to get the job done and a desire to strive for better. Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly. Preferred Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Kotlin, Java and/or Go Expertise in messaging technologies such as Kafka or Amazon SQS, with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability to work in diverse codebases, both legacy and greenfield, in different languages and environments If you possess some of these qualifications but not all of them, we still encourage you to apply! #LI-AC2 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,000 — $235,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview As a Backend Engineer at Fanatics Core, you'll design, develop, test, and maintain scalable, high-quality systems to deliver exceptional customer experiences. We own the Fanatics App, the brand-forward application of Fanatics that encompasses elements of all of our different brands and businesses. We own the Fanatics App, the mobile app at  Fanatics that encompasses elements from  all of our different brands and businesses. The Fanatics App brings together Free to Play games, live events, ecommerce, and new product experiences to deliver a best-in-class  Sports platform. Fundamentally, we are one team in everything we do, from the user experience to coding and architecture. We aim to deliver on our Customer Promise by delighting our millions of monthly active users. Responsibilities Develop, test, document, and deploy high quality software into production Build features and tools that you and your team use Participate in the on-call rotation when needed to troubleshoot software issues Escalate when tasks or projects hit roadblocks Participate in code reviews to maintain code quality and share knowledge Contribute to team planning and design discussions, building more expertise around design approaches Impact software quality and customer experience of product features Improve testability, operational excellence metrics, and team documentation Help your team define and adhere to the principles, guidelines, and best practices of our engineering strategy Develop a fundamental understanding of our industry, product, feature set and roadmap Work closely with our product team and other internal stakeholders to make technology decisions that grow and improve our products Help to onboard and mentor junior engineers and interns Remain current on the latest technologies and trends in software development Must be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 5+ years of experience building highly scalable, performant and evolvable backend distributed systems; proficiency in Spring with Kotlin and/or Java is a plus. Demonstrated ability to drive best practices in backend development and mentor others in effective coding and architectural strategies, such as clean code, hexagonal/layered architectures, domain driven design and other design and architectural patterns Knowledge of observability practices , including logging, monitoring, and tracing in distributed systems. Expertise in Agile software delivery , with a track record of modeling and driving process improvements across teams, and ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success. Excellent communication skills , capable of conveying complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders. Team-first mentality , with a willingness to do what it takes to get the job done and a desire to strive for better. Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly. Preferred Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Kotlin, Java and/or Go Expertise in messaging technologies such as Kafka or Amazon SQS, with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability to work in diverse codebases, both legacy and greenfield, in different languages and environments If you possess some of these qualifications but not all of them, we still encourage you to apply! #LI-AC2 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $121,000 — $200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Задачи: — Принять систему у предыдущей команды: репозиторий, пайплайны, окружения, процесс релизов — Развивать функциональность по задачам заказчиков, выпускать версии на стенды — Встроить тесты в CI (Testcontainers, WireMock, EmbeddedKafka), покрыть расчётную логику — Унифицировать версии зависимостей, вынести общий код в starter — Усилить асинхронное взаимодействие: идемпотентность, retry, DLQ, outbox — Добавить наблюдаемость и отказоустойчивость: Actuator, Micrometer, Resilience4j — Подготовить миграцию на Spring Boot 3 Требования: — Java 17: Stream API, Optional, records — Spring Boot 2.7, Spring Cloud (Eureka, Config Server, Gateway, OpenFeign) — от 2 лет — Spring Data JDBC и JPA/Hibernate — понимание разницы подходов — PostgreSQL: сложный SQL, индексы, EXPLAIN, jsonb, Flyway — Kafka на spring-kafka, семантика доставки — Spring Security: JWT, реактивный стек (WebFlux) — Gradle (multi-project / composite build, BOM), базовый Maven — GitLab CI, Docker / Docker Compose, Linux, SSH — JUnit 5, Mockito, Testcontainers — Apache POI или аналоги для генерации Excel/Word Будет плюсом: — Опыт миграции Spring Boot 2 → 3 — Prometheus/Grafana, OpenTelemetry, ELK — S3-совместимые хранилища — LDAP / Active Directory — Работа с PDF, SVG, движками формул — Опыт в инженерном, промышленном или ERP-домене (предметке обучаем) Условия: — Удалёнка, гибрид или офис — на выбор — Продукт с реальными промышленными пользователями — Свобода инженерных решений в рамках архитектуры — Внутренняя документация для быстрого входа: гайд по коду, стратегия тестирования — Официальное оформление, фиксированный оклад Этапы отбора: 1. Техническое интервью 2. Финальная беседа о подходе к приёмке системы

Intellias is a software development and consulting company that helps businesses build digital solutions. Stack includes Node.js, NestJS, TypeScript, MongoDB, PostgreSQL, Kafka, RabbitMQ, React, AWS. Work format: Remote work or on-site in Kraków, Warsaw, Wrocław or Łódź, Poland.

Location: Remote - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements. Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs. AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & PoC Delivery Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions. PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments. Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components. Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements. Product Intelligence & Market Expertise Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases. Your Skills and Experience: 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads. Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results. Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design. Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure. Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required. Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments. Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.