Разработка вакансии - удалённо

Задачи: — Разработка и оптимизация высокопроизводительных C++ приложений для инфраструктуры трейдинга с низкой задержкой. — Улучшение подключения к биржам. — Работа с системами, где важна каждая микросекунда. О проекте: Клиент — proprietary trading компания, специализирующаяся на высокочастотной и алгоритмической торговле. Команда разрабатывает собственную инфраструктуру, рыночные подключения и количественные технологии для автоматизированной торговли. Стек технологий: C++17/20, REST, WebSockets, FIX, Python, Kafka, AWS, Kubernetes, Kibana, Grafana, Prometheus. Локация: Удалённая работа для кандидатов из Европы, Великобритании или Индии. Предпочтение кандидатам, готовым к переезду в Дубай (предоставляется полная поддержка релокации). Работа с: — высоконагруженными системами с низкой задержкой; — подключением к биржам; — производственной инфраструктурой трейдинга; — оптимизацией задержек; — взаимодействием с командами инженеров, трейдеров и аналитиков данных.

О проекте: Вы присоединитесь к ключевой команде, которая занимается разработкой и развитием основной эквайринговой платформы SmartCore. Это сложная, высоконагруженная система с микросервисной архитектурой, работающая в режиме 24/7. Платформа отвечает за весь жизненный цикл платежа — от инициации до клиринга, обеспечивая минимальные задержки, высокую отказоустойчивость и соответствие строгим стандартам безопасности (PCI DSS). Задачи: — Проектирование и разработка новых микросервисов и бизнес-логики на Kotlin и Java. — Оптимизация производительности существующих компонентов системы, работа с высоконагруженными участками кода. — Принятие ключевых архитектурных решений для повышения отказоустойчивости, масштабируемости и безопасности платформы. — Интеграция со сторонними платежными системами, банками и процессинговыми центрами. — Работа с асинхронными потоками данных с использованием Kafka и RabbitMQ. — Проведение code review, наставничество менее опытных коллег и внедрение лучших практик разработки. — Активное участие в R&D, исследование и внедрение новых технологий в стек проекта. — Покрытие кода unit- и интеграционными тестами, поддержание высокого качества кодовой базы. Требования: — Коммерческий опыт бэкенд-разработки на Java/Kotlin от 10 лет. — Экспертное владение Kotlin: идиомы, корутины, функциональные возможности. — Глубокое знание Java Core и экосистемы JVM. — Отличное знание Spring Boot, включая REST API, автоконфигурацию, Spring Security, Actuator. — Экспертный уровень работы с PostgreSQL: проектирование сложных схем, оптимизация запросов, уровни изоляции транзакций, репликация. — Опыт работы с MongoDB. — Практический опыт построения систем на базе Kafka: брокер, паттерны producer/consumer, гарантии доставки сообщений. — Опыт работы с RabbitMQ и Redis (кэширование, pub/sub, распределённые блокировки). — Опыт проектирования и разработки распределённых, отказоустойчивых систем (микросервисная архитектура, CQRS, Event Sourcing). — Знание современных AI-технологий, включая AI-агентов и LLM. — Понимание сетевых протоколов TCP/IP, HTTP/2, gRPC. — Опыт работы с Docker и Kubernetes. — Навыки написания чистого, поддерживаемого и хорошо тестируемого кода. — Высокая степень самостоятельности, проактивность, ответственность за результат и качество продукта. Будет плюсом: — Опыт работы в финтехе или процессинге платежей, знание стандарта PCI DSS. — Опыт работы с реактивными стеками (Project Reactor, WebFlux). — Опыт использования инструментов мониторинга и трассировки (Prometheus, Grafana, Jaeger). — Опыт проведения нагрузочного тестирования (JMeter, Gatling). Условия: — Конкурентоспособная заработная плата, обсуждаемая индивидуально. — Современный технологический стек и отсутствие бюрократии. — Бюджет на обучение, посещение профильных конференций и покупку литературы. — Корпоративный доступ ко всем передовым LLM моделям в Max комплектации. — Работа в команде экспертов, где мнение каждого учитывается.

Задачи: — Проектирование и разработка мобильных и веб-приложений, сервисов с использованием современных фреймворков (Django, Flask, FastAPI) — Работа с базами данных: создание, оптимизация, написание запросов и обработка информации — Реализация скриптов и утилит для автоматизации бизнес-процессов — Интеграция с внешними системами и сервисами (REST API, другие интерфейсы) — Тестирование, отладка и сопровождение программного обеспечения для надежной работы и соответствия требованиям — Оптимизация производительности и масштабируемости решений для работы с большими объемами данных — Работа в проектной команде: участие во встречах, code review, обмен опытом и помощь коллегам, менторство Требования: — Опыт создания приложений и разработки API на Python не менее 5-ти лет, используя веб-фреймворки (Django либо FastAPI / Aiohttp или другой асинхронный фреймворк) — Опыт работы с СУБД хотя бы через ORM или SQLAlchemy (уверенное владение SQL, индексы, оптимизация запросов – для старших позиций) — Желание работать в команде, участвовать в проектировании архитектуры, выдвигать предложения по улучшению решений и процессов — Опыт внедрения собственных инициатив и улучшения процессов

Задачи: — Проектировать, создавать и поддерживать масштабируемое, качественное backend-программное обеспечение в соответствии с лучшими инженерными практиками. — Вести сложные технические инициативы от начала до конца: проектирование, реализация, мониторинг, отладка и постоянная оптимизация. — Улучшать инженерные стандарты для повышения качества и поддерживаемости кода. — Проектировать и оптимизировать распределённые системы, облачные сервисы и масштабируемые каналы обработки данных. — Повышать надёжность системы с помощью мониторинга, наблюдаемости, автоматических проверок состояния и оповещений. — Наставлять инженеров через код-ревью, технические рекомендации, адаптацию и обмен знаниями. Требования: — Опыт работы в EMEA с созданием и эксплуатацией программного обеспечения в современных продуктовых инженерных средах. — Глубокие знания и опыт проектирования масштабируемых распределённых систем. — Глубокое понимание архитектур данных и построения надёжных масштабируемых каналов обработки данных. — Опыт работы с облачной инфраструктурой и распределёнными системами (сообщения, распределённое хранилище, автоматизация инфраструктуры). — Сильные навыки наблюдаемости, мониторинга и отладки для эксплуатации производственных систем в масштабе. — Способность самостоятельно решать сложные задачи и принимать технические решения с учётом интересов клиентов и бизнеса. Условия: — Глобальная инклюзивная команда с поддерживающей, но ориентированной на результат культурой. — Возможность удалённой работы или работы из современного офиса в Риге. — Гибкий график работы (начало работы возможно до 11 утра). — Частная медицинская страховка и дополнительные оплачиваемые выходные (включая день рождения/праздник). — Возможности обучения, наставничества, внутренние встречи и хакатоны (как офлайн, так и онлайн). — Бесплатный и здоровый обед при работе из офиса в Риге. Процесс найма: — Рассмотрение резюме на английском языке. — Интервью для оценки технической глубины, ответственности и умения работать в команде. — Обсуждение соответствия роли и стиля работы.

Location: Chicago, IL Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. This will be a hybrid in office role in Chicago, IL. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - Travel to customers up to 25% of the time WHAT YOU’LL BRING - 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION: Annual OTE range: $200,000–$300,000 USD. Final compensation will depend on experience, skills, and location. Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles. Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum. This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors. About the team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. What you'll do Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support. Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software. Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack. Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap. Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy. Skills we're looking for Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team. Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines). Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members. Experience leading in a distributed, asynchronous team environment. Nice to have Experience leading or contributing to a popular open-source project, including managing a community of external contributors. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why join us Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: US Remote Workplace: Remote About Pinecone Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. About the Team and Role: We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: - Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation - Design and build optimized indexing pipelines for structured and unstructured data - Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration - Improve retrieval quality through evaluation and observability frameworks - Design APIs for internal and external user and agentic consumers - Optimize latency, throughput and cost across large-scale inference and retrieval workloads - Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise - Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. - Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval - Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. - RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical - Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. - Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact - Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. - Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points - Experience building multi-tenant SaaS platforms. - Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. - Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Задачи: — Разрабатывать backend-сервисы, используя Claude Code, Codex или другие AI-агенты для ускорения работы — Проектировать и реализовывать интеграции с внешними API (рекламные сети, трекеры, аналитика, платёжные системы) — Автоматизировать бизнес-процессы — сбор данных, отчётность, мониторинг — Прототипировать решения: от идеи до рабочего MVP за часы — Ревьюить и рефакторить код — как свой, так и сгенерированный агентом — Настраивать окружение для AI-агентов: инструкции, правила, контекст проекта Требования: — Python: коммерческий опыт от 2 лет. Уверенное владение asyncio, FastAPI или Flask, SQLAlchemy или аналоги. Понимание GIL, менеджеров контекста, декораторов, генераторов — не на уровне “знаю что это”, а используете в работе — Go (будет серьёзным плюсом): goroutines, channels, стандартная библиотека, понимание concurrency-модели — Базы данных: PostgreSQL или MySQL на уровне написания сложных запросов, понимание индексов, миграций, оптимизации — Опыт с Redis — API: проектирование и реализация REST API, работа с вебхуками, OAuth, rate limiting. Опыт интеграции с внешними сервисами в продакшене — Git: ветвление, ребейз, черри-пик, решение конфликтов — не гуглите каждый раз — Инфраструктура: Docker на уровне написания и отладки Dockerfile и docker-compose. Базовое понимание CI/CD — Linux: уверенная работа в терминале, дебаг на удалённом сервере, чтение логов Требования по AI-инструментам: — Реальный опыт работы с Claude Code, Codex, Cursor, Aider или другими AI-агентами — именно как инструмент в ежедневной разработке — Умение декомпозировать задачу для агента, управлять контекстом, задавать ограничения — Понимание, где агент силён, а где стабильно ошибается — и привычка проверять результат Не подойдёт, если: — Вы пришли в программирование через AI и не писали код самостоятельно до появления ChatGPT — Ваш коммерческий опыт меньше 1.5 лет — Вы не можете без подсказки объяснить, чем отличается процесс от потока, зачем нужен индекс в БД или как работает HTTP-запрос на уровне TCP — Ваш опыт с AI — только браузерный чат, без терминальных или IDE-агентов Условия: — Удалённо, ПН–ПТ, 10:00–19:00 МСК — Выплаты: от 1200-1500$ в месяц (по результатам собеседования, в дальнейшем возможен рост) — Оплачиваемая стажировка до 2 недель (полная ставка) — Выплаты 1 и 16 числа (USDT BEP-20) — Все расходы на AI-инструменты покрывает компания — Подписание договора NDA (по паспортным данным и видеоверификации)

Задачи: — Автоматизированное тестирование микрофронтов, ролевых моделей и пользовательских интерфейсов; — Проверка контрактов между Frontend и Backend, а также между микросервисами; — Проверка корректности чтения операций из блокчейна и записи транзакций; — Тестирование механизмов off-chain-консенсуса и внутренней бизнес-логики микросервисов; — Разработка и поддержка автотестов на Java (TestNG). Требования: — Высшее техническое образование; — Опыт тестирования от 5 лет; — Опыт работы на блокчейн-проектах; — Уверенное владение SQL (JOIN, вложенные запросы, базовые команды); — Глубокое понимание REST API; — Опыт разработки автотестов на Java с использованием TestNG; — Опыт работы с инструментами мониторинга; — Базовое понимание принципов интеграции с блокчейн-сетями. Условия: — Оформление по ИП; — Полностью удалённый формат работы; — Интересные технические задачи; — Возможность влиять на процессы и качество продукта; — Гибкий график; — Оплата за фактически отработанное время; — Команда без лишнего микроменеджмента.

Задачи: — поддержка в рабочем состоянии серверной части игр; — разработка нового серверного функционала для игр; — разработка и поддержка административной части игр (админка на Go + Vue.js); — взаимодействие с командой DevOps в вопросах деплоя, проблем производительности, ресурсов и т.п. Требования: — опыт работы от 3 лет как backend-разработчик; — опыт программирования на Go от 1 года; — опыт работы с реляционными СУБД (MySQL, PostgreSQL и т.д.); — опыт работы с Redis. Будет плюсом: — опыт работы с клиентскими web-технологиями (Javascript + Vue.js); — опыт работы с Clickhouse. Условия: — расширенный ДМС со стоматологией с первого рабочего дня; — 100% оплата больничного (30 дней в год); — материальный бонус при рождении ребенка, ведение беременности, ДМС и подарки детям; — телемедицина и медицинская поддержка 24/7; — полис страхования от критических заболеваний; — материальная помощь в особых случаях; — занятия английским языком; — корпоративные скидки; — дополнительное профессиональное обучение; — компенсация затрат на спорт — занятия в фитнес-клубе, индивидуальные тренировки и участия в соревнованиях.

Location: Lisbon, Portugal Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.   Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Krakow, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem.   Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences.   Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers     About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.   Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Warsaw, Poland Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Role Summary: As a Frontend Engineer at Sensor Tower, you will not only build features, you will define how we build them. You will take ownership of major technical components, ensuring our applications are scalable, maintainable, and fast. In our lean and flat organization, your voice will shape the technical direction of our product, helping us deliver an intuitive, fluid user experience that helps our customers understand the digital ecosystem. Fulfill your potential with us: - Architect and deliver complex, scalable frontend systems that are simple and effective, removing unnecessary complexity from our codebase. - You will partner with Product Managers to co-author requirements and shape the scope, ensuring engineering feasibility is considered during ideation, not just execution. - Lead technical decision-making for medium-to-large scoped features, taking responsibility for the successful delivery of value to the customer, not just the completion of tickets. - Mentor junior and mid-level engineers through code reviews, pair programming, and by instilling quality-first habits across the team. - Take ownership of the frontend stack by proactively identifying bottlenecks, technical debt, or systemic issues and driving the initiatives to fix them. - Advocate for and drive best practices in React, TypeScript, and web performance optimization across the engineering organization. - Collaborate deeply with Data Science and Backend Engineers to ensure seamless data flow and end-to-end system reliability, and use these partnerships to progressively expand your expertise across the full stack.   What we are interested in:   - 4+ years of software engineering experience with a deep specialization in modern JavaScript, TypeScript, and React. - Proven ability to architect complex state management. While our stack relies on TanStack Query, React Router and Zustand, we value engineers who understand the principles and can adapt expertise from other libraries like Redux, MobX, NextJS. - You can design systems that handle complexity without becoming complicated, prioritizing long-term maintainability. - Experience elevating the skills of peers. You don't just review their code; you teach patterns and best practices. - Competence in writing robust and efficient unit and integration tests using frameworks like Jest or Playwright. - Deep understanding of web performance, browser internals, and optimization techniques for data-heavy applications. - A "Product Owner" mindset. You care deeply about the "why" behind every feature, viewing code as a tool to solve real user problems. You are comfortable pushing back on requirements and proposing alternative solutions that drive better business outcomes and user experiences. Extra Credit:   - Experience in data visualization and analytics (handling large datasets, heavy DOM manipulation with libraries like Highcharts). - A portfolio, GitHub history, or technical writing that demonstrates clean code, an eye for design, and the ability to solve complex architectural challenges. - Familiarity with back end frameworks Ruby on Rails/Angular and different types of DBs (Clickhouse, Mongo, Postgres) - Knowledge of AI-driven coding tools and models as we encourage leveraging AI to enhance coding efficiency and unlock creative potential   Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Задачи: — Проектирование архитектуры решения для высокой доступности и масштабируемости — Оптимизация производительности — Code review — Покрытие кода тестами — Участие в проектировании новых фич и сервисов Требования: — Опыт коммерческой разработки 3+ лет — Опыт разработки на Python 2+ лет — Понимание настройки и запуска CI/CD пайплайнов — Экспертиза в облачной инфраструктуре — Опыт работы с бэкендом для AI и ML

Задачи: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

Задачи: — развивать backend на Python — подключать LLM, инструменты, базы знаний и RAG — строить пайплайны оценки качества агентов — участвовать в архитектуре и ревью кода Встреча 15 августа онлайн.

Задачи: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

Задачи: — Проектировать и разрабатывать масштабируемые backend-сервисы и API; — Принимать архитектурные решения и обеспечивать высокие инженерные стандарты; — Писать production-ready код и активно использовать AI-инструменты для ускорения разработки; — Решать сложные технические задачи и повышать надежность системы; — Проводить код-ревью и поддерживать качество кода в команде; — Наставлять инженеров и повышать продуктивность команды; — Тесно сотрудничать с командами продукта, дизайна и QA; — Постоянно улучшать процессы разработки и инженерные практики. Требования: — Опыт разработки ПО от 7 лет; — Сильный коммерческий опыт с Node.js и TypeScript; — Опыт проектирования масштабируемых архитектур и распределенных систем; — Глубокое понимание PostgreSQL, Redis, REST API и асинхронных паттернов; — Опыт работы с Docker и CI/CD; — Опыт руководства инженерами и принятия технических решений; — Практический подход и желание оставаться близко к коду; — Опыт использования AI-инструментов (Cursor, GitHub Copilot, Claude Code или аналогичных) в ежедневной разработке; — Английский язык на уровне B2/C1. Плюсом будет: — Опыт с React или Angular; — Опыт с RabbitMQ, Kubernetes и GitOps; — Опыт с Web3 или блокчейн-продуктами; — Опыт интеграции LLM API и AI-возможностей в продукты. Условия: — Профессиональный рост: поддержка курсов, конференций и изучения английского (до 100% покрытия); — Гибкий график и удаленная или гибридная работа в международных командах; — Оплачиваемый отпуск: до 20 дней отпуска + 8 корпоративных праздников + 5 личных дней в год; — Программы признания: структурированные оценки эффективности и командные награды; — Корпоративная культура: выезды в международные локации (например, квартиры компании на Кипре).