Компания занимается созданием данных для обучения и оценки моделей генеративного искусственного интеллекта (GenAI). В команде работают эксперты из более чем 50 областей и представители более 100 стран. Компания сотрудничает с крупными технологическими компаниями и стартапами, имеет стратегических инвесторов и распределённую по миру удалённую команду.
Задачи:
— Создавать задачи и критерии их оценки для оценки AI coding агентов.
— Формировать изолированную среду, эмулирующую рабочее место разработчика с Linux, инструментами разработки, серверами MCP и реальным кодом веб-приложения.
— Создавать контекст задачи: тикеты, обсуждения, документацию, чтобы агент мог самостоятельно разобраться с задачей.
— Строить виртуальную компанию с кодовой базой, инфраструктурой и историей разработки.
— Собирать и калибровать задачи, превращая черновики в полные задачи с промптом и критериями оценки.
— Итеративно работать с AI агентом, проверять тесты, анализировать результаты, проектировать крайние и сложные сценарии.
Требования:
— Опыт разработки не менее 8 лет на любом современном языке программирования.
— Готовность и способность работать преимущественно на Python.
— Практический опыт использования AI coding агентов (Claude Code, Codex) в инженерных процессах.
— Умение решать задачи, ясно мыслить и объяснять технические решения.
— Практическое понимание Docker и рабочих процессов разработки.
— Готовность вносить технический вклад и выполнять задачи.
Условия:
— Фриланс с возможностью перехода в проектную команду.
— Гибкий полностью удалённый график.
— Работа на переднем крае AI разработки с известными клиентами.
— Дружелюбное сообщество.
Технологический стек:
— Backend: Python, FastAPI
— Frontend: JavaScript/TypeScript, React
— Инфраструктура: Docker, PostgreSQL, Kafka, Redis
Особенности:
— Работа с задачами, которые сложно создать без использования передовых AI моделей.
— Оценка решений AI агентов, которые могут иметь множество валидных вариантов.
Вакансия архивирована.
Задачи:
— Проектирование AI- и классических решений: разработка агентов, tools, skills, subagents, SDK к OpenCode;
— Применение нейросетей для оптимизации собственной работы (генерация спецификаций, промпт-инжиниринг, прототипирование диаграмм PlantUML, написание MCP, агентов, скилов);
— Ведение технической документации в рамках концепции Doc-as-code;
— Согласование технических решений и плотная коммуникация с командами разработки и сопровождения.
Требования:
— Общий опыт работы в аналитике от 3 лет;
— Подтвержденный опыт работы в проектах по разработке и внедрению AI-фич и AI-агентов (включая агентов в формате .md);
— Понимание принципов работы LLM и современных агентных архитектур (ReAct, LangChain, AutoGen и др.);
— Понимание NLP, архитектуры RAG (retrieval-augmented generation) и уверенные навыки prompt engineering;
— Практический опыт работы с harness-агентами;
— Уверенное владение технологическим стеком: REST API, WebSocket, OpenAPI/AsyncAPI, брокеры сообщений (Kafka), реляционные БД (PostgreSQL);
— Опыт работы с инструментами моделирования и документации;
— Развитые софт-скиллы: инициативность, коммуникабельность, умение аргументированно доносить точку зрения, нетоксичность.
Условия:
— Работа в финтех-проекте компании Bellintegrator;
— Платформа автоматизации жизненного цикла инвестиционных сделок для юридических лиц;
— Удаленная работа с таймзоной Мск ±2 часа;
— Полная занятость с оформлением по ТК РФ;
— Вилка зарплаты 220 000 – 250 000 руб. на руки, определяется по грейду.
Важное требование к резюме:
— Резюме должно содержать детально подтвержденный опыт;
— По каждому проекту необходимо четко описать: описание проекта, роль, конкретные задачи и зону ответственности, используемые технологии и инструменты.
Задачи:
— Разработка программного кода Oracle PL/SQL / PostgreSQL PL/pgSQL
— Проектирование и оптимизация баз данных
— Оптимизация SQL-запросов, в том числе для высоконагруженных приложений
— Разработка для финансовых приложений
— Разработка отчётов (Crystal Reports, JasperSoft iReport, Jasper Studio)
— Миграция данных и кода из Oracle в PostgreSQL
— Взаимодействие с группами аналитики, внедрения, поддержки и тестирования
— Тестирование собственного кода, в том числе с использованием ИИ
Требования:
— Опыт работы с реляционной СУБД (Oracle / PostgreSQL) не менее 3 лет
— Опыт проектирования БД
— Умение оптимизировать SQL-запросы
— Опыт разработки для финансовых приложений (или базовые знания предметной области)
— Желание и умение работать с ИИ-инструментами (Claude Code / Cursor / Codex)
— Опыт работы с SVN, Git
— Технический английский
— Умение работать в команде
Будет плюсом:
— Знакомство с Oracle RAC, Oracle Data Guard, Oracle Golden Gate
— Опыт работы с PostgreSQL, MySQL, Informix, MSSQL Server, DB2
— Основы администрирования СУБД Oracle
— Опыт работы в UNIX/Linux
— Опыт разработки на Python, Java, C++
— Разговорный английский
Условия:
— Полностью удалённая работа из любой точки мира
— Гибкое начало рабочего дня (с 8:00 до 11:00 по GMT+3)
— Быстрый и понятный онбординг с наставником
— Участие в разработке уникальных и вдохновляющих проектов
— Современную технику для работы
— Реферальную программу для сотрудников
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Location: Madrid, Spain
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
About The Role:
We're an advertising company that lives or dies by how well we connect to the outside world. We integrate with the major social and ad platforms (Meta, Google, TikTok, LinkedIn, Snap, and more) and wire them into our internal systems for billing and reporting. Data moves constantly and in both directions, at scale, and a meaningful part of our estate is legacy. You'll own the technical direction that keeps all of this coherent, resilient, and evolvable — and you'll stay close enough to the code to prove it.
This is the top of our individual-contributor ladder. You won't have direct reports; your leverage comes from setting direction, building the hard parts yourself, writing the decisions down, and getting engineers and leadership to build behind them. This is not a role that only draws diagrams — you'll ship production code on the riskiest paths, cut the spike that de-risks a migration, and go deep in the incidents nobody else can crack. We work across PHP, Go, Python, TypeScript, and JavaScript; PHP and Go are both first-class and here to stay, and the right tool for a problem can land in either. You'll be the person who decides where new capability lands, how legacy gets retired, and how we absorb the constant churn of third-party APIs without breaking delivery.
What You'll Own:
The integration architecture for ingesting from and pushing to external ad/social platforms — versioning, rate limits, backfills, idempotency, webhooks, and graceful degradation when a partner API changes underneath us.
The data architecture for information flowing between platforms and internal systems: pipelines, reconciliation, contracts between services, and the path from operational data to reporting.
A pragmatic strategy for modernizing the legacy estate — strangler-fig migrations, clear service boundaries, and sound judgement about which language and pattern fit each problem — carried far enough into code that teams can follow the pattern.
The engineering bar for integration and data work: the reference implementations, patterns, and standards the org builds against, ratified through the technical committee.
What You'll Do:
Set the technical direction for new products and major changes, and stay the technical decision-maker through build and post-launch — with the authority to course-correct when implementation drifts, and the habit of being in the codebase to catch the drift early.
Build the hard parts yourself.
Write production code on the riskiest, highest-leverage paths; prototype the uncertain approach to turn an argument into evidence; build the reference implementation others extend.
Turn intangible trade-offs — partner API risk, team capability, long-term scalability, cost of change — into clear, written decisions (ADRs) that leadership and the technical committee can sign off on.
Define service and data contracts, integration patterns, and resilience strategies that survive third-party API deprecations and outages.
Go deep when it breaks: lead diagnosis on the gnarliest production incidents and performance regressions, and land the fix and the systemic follow-up.
Identify the infrastructure (compute, data, messaging, observability) needed to meet current and near-future goals.
Raise the bar through others:
mentor engineers and tech leads, set the standard in code review, and drive cross-functional decisions across engineering, product, security, and operations — through influence, not line management.
Evaluate third-party and vendor solutions against our integration and data requirements.
Monitor systems against performance and business benchmarks and escalate with concrete recommendations.
What We're Looking For:
Substantial experience as a staff/principal engineer (or equivalent) on
integration-heavy, data-heavy systems
— ideally where you didn't control the external APIs.
Still hands-on.
You lead by building, and you're demonstrably strong in production code, not only in design.
Depth in at least one of
PHP, Go, or Python
, and comfort across a polyglot estate (TS/JS on the front).
A track record of
modernising legacy systems incrementally
without halting delivery.
Fluency in integration and data patterns: idempotency, eventual consistency, rate limiting, queuing, backfills/reconciliation, API versioning.
A history of
driving technical decisions through influence rather than authority
— getting senior leadership and peer engineers to commit to a direction, and backing it with working code.
Nice To Have:
Experience with ad/martech platform APIs (Meta Marketing, Google Ads, TikTok, etc.).
Data warehouse / analytics pipeline experience (e.g. BigQuery).
Multi-region, multi-currency, or high-volume billing/reconciliation backgrounds.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Задачи:
- разработка и поддержка Python-модулей, взаимодействующих с компонентами распределённой инфраструктуры
- написание unit-, интеграционных и end-to-end тестов
- участие в code review и соблюдение стандартов качества кода
- сборка и публикация пакетов (в том числе .deb/.rpm) для дистрибутивов Linux
- диагностика и устранение проблем в production-средах под Linux
- взаимодействие с командами DevOps и SRE для обеспечения стабильности и производительности решений.
Требования:
- понимание принципов работы гипервизоров и опыт взаимодействия с QEMU/KVM через API или CLI (например, через libvirt или напрямую)
- уверенное владение Linux: работа с systemd, journalctl, сетевым стеком, файловыми системами
- практический опыт работы с технологиями контейнеризации: Docker и/или Podman (включая написание Dockerfile, управление образами, настройку сети и volumes)
- опыт взаимодействия (или разработки) с любым из этого списка - OpenStack, Apache CloudStack, Proxmox VE, OpenNebula, oVirt
- опыт коммерческой разработки на Python от 5 лет
- глубокое понимание асинхронного программирования, многопоточности и IPC в Linux
- опыт работы с системами сборки пакетов (например, rpmbuild, mock, koji, fedpkg или аналоги)
- знание принципов CI/CD и опыт работы с Git, GitLab CI
- понимание принципов REST API, RPC и взаимодействия между сервисами
- опыт работы с virtualenv, pip, Poetry или аналогичными инструментами управления зависимостями.
Задачи:
— Настройка эффективного и отказоустойчивого вычитывания операций из блокчейна;
— Реализация транзакций в смарт-контракты и оперативная публикация цен в блокчейн;
— Разработка внутренней бизнес-логики микросервисов (обработка event-ов, настройка шедулеров, создание надежных API);
— Импорт, процессинг и экспорт данных в DownStream системы, плотная интеграция с UI, подготовка гибких схем валидации.
Требования:
— Высшее техническое образование и коммерческий опыт разработки от 5 лет;
— Опыт работы в роли разработчика в крупных Enterprise-компаниях (топ-банки, финтех, брокеры, биржи);
— Четкое понимание корпоративных стандартов разработки, CI/CD процессов, требований ИБ и прохождения архитектурных ревью;
— Уверенное знание Java 8, ООП, REST, XML, JSON, HTTP и шаблонов проектирования;
— Опыт разработки с использованием Spring, Spring Boot и микросервисной архитектуры;
— Отличные знания SQL и практический опыт работы с БД (PostgreSQL);
— Уверенный опыт работы с интеграционными протоколами и брокерами (REST, Kafka, RPC, FIX);
— Опыт написания качественных модульных и интеграционных тестов (JUnit, Mockito);
— Внимание к деталям и умение грамотно вести деловую переписку.
Условия:
— 100% удаленный формат работы с территории РФ и полностью гибкий график;
— Стабильный и конкурентный доход до 315k на руки с прозрачной оплатой по ИП;
— Профессиональное развитие через решение сложных реальных задач, а не формальные курсы;
— Реальная возможность предлагать свои архитектурные идеи и сразу видеть, как они внедряются на проде.
Требования:
- Опыт коммерческой разработки на Java не менее 3 лет;
- Опыт работы со Spring Boot, REST API, PostgreSQL, Apache Kafka;
- Понимание принципов микросервисной архитектуры: REST API, JSON, HTTP/HTTPS, микросервисная архитектура, многопоточность, разработка высоконагруженных приложений, интеграционные сервисы, понимание принципов проектирования БД и оптимизации запросов;
- Технологический стек: Java 17/21, PostgreSQL, ClickHouse, Spring Boot, Spring Data, Spring Security, Maven/Gradle, Hibernate/JPA, Redis Client, OpenAPI/Swagger, Docker (желательно), Kubernetes (желательно), Git, GitLab CI/CD, Jenkins, JUnit, Mockito, Postman.
Обязанности:
- Разработка и сопровождение серверной части кредитного конвейера для продуктов розничного кредитования.
- Реализация бизнес-логики обработки кредитных заявок, скоринговых сценариев и маршрутизации заявок между этапами рассмотрения.
- Разработка интеграций с внутренними и внешними информационными системами (банки, государственные сервисы, бюро кредитных историй, ЭЦП и другие партнерские сервисы).
- Реализация взаимодействия с базами данных, брокерами сообщений и микросервисной инфраструктурой.
- Разработка REST API и сервисов обмена данными, обеспечение надежности и производительности системы.
- Участие в проектировании архитектуры, реализации ключевых компонентов кредитного конвейера и оптимизации бизнес-процессов.
- Анализ и устранение дефектов, оптимизация производительности и сопровождение промышленной эксплуатации системы.
Условия:
- Г.Астана оффлайн, офис рядом с хан шатыр;
- Официальное трудоустройство согласно ТК РК;
- Своевременная выплата заработной платы;
- Ежегодная премия по результатам KPI;
- Отпуск 24 к.д.;
- Обучение, тренинги, курсы за счет средств организации.
- Заработная плата: до 900 000 тг
ОфисmiddleАстана
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— Разрабатывать и поддерживать микросервисную архитектуру
— Интегрировать платежные системы и игровые агрегаторы
— Развивать существующие платежные модули и создавать новый функционал
— Проектировать базы данных, оптимизировать запросы и участвовать в миграциях
— Работать с инфраструктурой (Docker, Kubernetes, AWS)
— Взаимодействовать с backend-командой, QA и продуктом
— Участвовать в code review и технических обсуждениях
Требования:
— 3–6 лет коммерческого опыта в Backend-разработке
— Уверенное знание Node.js и NestJS
— Опыт работы с JavaScript и TypeScript
— Опыт проектирования и разработки микросервисов
— Хорошие знания PostgreSQL, MongoDB и Redis
— Опыт работы с Docker, Kubernetes, RabbitMQ и AWS
— Понимание принципов построения отказоустойчивых и высоконагруженных систем
— Английский язык от уровня B2
Будет плюсом:
— Опыт с Go
— ClickHouse
— Unit и Integration Testing
— Опыт в Live Casino, Streaming или Real-Time системах
Условия:
— Новый продукт и возможность влиять на его развитие с самого начала
— Современный технологический стек
— Международная команда
— Официальное трудоустройство для сотрудников в Праге
Компания АЛТ развивает собственные внутренние IT-сервисы для автоматизации бизнес-процессов: логистика, документооборот, отчеты, интеграции с внешними системами, уведомления и внутренние инструменты для сотрудников. Сейчас мы ищем стажера-разработчика / младшего Python-разработчика в помощь действующему инженеру-разработчику. Это позиция для человека, который хочет получить реальную практику, работать с живыми задачами бизнеса и развиваться под наставничеством опытного специалиста. Компания имеет IT-аккредитацию.
Чем предстоит заниматься:
— помогать в разработке и поддержке внутренних сервисов компании;
— писать скрипты и небольшие backend-сервисы на Python;
— работать с интеграциями по API: получать данные, отправлять запросы, обрабатывать ответы и ошибки;
— дорабатывать бизнес-логику внутренних сервисов: очереди, таймауты, правила распределения задач, автоматические действия;
— работать с базами данных: читать, записывать, сверять данные, помогать искать расхождения;
— участвовать в подготовке отчетов и выгрузок в Excel;
— помогать с ботами, уведомлениями, генерацией документов и PDF;
— разбирать ошибки, читать логи, помогать искать причины сбоев;
— участвовать в деплое, работе с контейнерами и CI/CD на базовом уровне;
— делать небольшие правки во frontend при необходимости;
— участвовать в код-ревью и разборе задач вместе с наставником.
Что важно для нас:
— базовое знание Python;
— понимание ООП;
— базовое знание SQL;
— умение читать чужой код и разбираться в логике;
— аккуратность, внимательность, желание доводить задачи до результата;
— готовность учиться, задавать вопросы и самостоятельно искать решения;
— интерес к backend-разработке, автоматизации и интеграциям.
Будет плюсом опыт или интерес к одному из направлений:
— backend: FastAPI, Litestar, Django;
— frontend: React, Vue или базовая верстка;
— базы данных: PostgreSQL, MongoDB;
— очереди и кэш: RabbitMQ, Redis;
— инфраструктура: Linux, Docker, Kubernetes, GitLab CI;
— аналитика: сложные SQL-запросы, Excel, макросы, отчеты, дашборды.
Не обязательно знать все сразу. Нам важнее базовая техническая подготовка, логика мышления и желание развиваться.
Мы предлагаем:
— заработную плату до 40 000 рублей до вычета НДФЛ;
— официальное оформление;
— работу преимущественно в офисе, полный рабочий день;
— возможность гибко согласовывать учебные вопросы и отработки при необходимости;
— реальные задачи, а не учебные проекты «в стол»;
— работу рядом с действующим инженером-разработчиком;
— возможность освоить backend, интеграции, базы данных и инфраструктуру на практике;
— участие в создании внутренних IT-продуктов компании;
— понятные задачи, обратную связь и постепенный рост сложности;
— стабильную компанию с IT-аккредитацией;
— возможность профессионального и зарплатного роста внутри компании.
Уровень дохода может быть пересмотрен индивидуально после прохождения испытательного срока и по результатам работы.
Кому подойдет вакансия:
— студенту технической специальности, в том числе студенту 4 курса;
— выпускнику, который хочет начать карьеру в разработке;
— начинающему Python-разработчику;
— специалисту, который уже писал учебные или pet-проекты и хочет перейти к реальным бизнес-задачам;
— человеку, которому интересно не просто писать код, а понимать, как IT помогает бизнесу работать быстрее и точнее.
Будет преимуществом при отклике:
— ссылка на GitHub / GitLab;
— описание учебных, pet- или рабочих проектов;
— примеры кода;
— опыт работы с API, базами данных или автоматизацией процессов.
Если вы хотите развиваться в backend-разработке, работать с реальными задачами и получать практический опыт под наставничеством, откликайтесь.
Location: Shanghai
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Senior Backend Engineer who is systems-minded, detail-oriented, and passionate about building scalable infrastructure to join our Platform Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and own the server-side architecture of a white-label game distribution platform, tackling challenges in multi-tenancy, large-file delivery, and high-concurrency systems.
Strong command of GoLang and solid experience in microservices and distributed systems are essential, along with experience in building backend services for content distribution, app stores, or gaming platforms. The ability to collaborate with cross-functional teams and drive technical decisions on performance, security, and observability will be key to your success in this role.
If you’re passionate about building robust, high-performance backend systems that power game distribution at scale and love solving complex infrastructure problems in the gaming ecosystem, we would love to hear from you!
Responsibilities
Design, build, and maintain the backend services for the game distribution platform, with a highly available and scalable server-side architecture
Design and implement a multi-tenant architecture supporting data isolation
Design and implement the storage and delivery solution for large game files (object storage / CDN, signed download URLs, resumable downloads, version management)
Build backend APIs and permission systems for the operations admin panel and publisher portal
Design and deliver the search solution (e.g., Elasticsearch) to power full-text search and filtering of games
Ensure system performance, concurrency, security, and observability (monitoring, logging, alerting)
Game industry experience required
On-site position only (remote work not available)
Requirements
Degree in Computer Science or a related field, with 5+ years of backend development experience
Strong command of GoLang
Proficiency with AI coding tools (Claude Code, Gemini, etc.)
Solid RESTful API design skills; familiar with microservice architecture
Familiar with relational database (MySQL/PostgreSQL) design and optimization; knowledge of NoSQL (Redis, etc.)
Familiar with message queues (Kafka/RabbitMQ), caching, and other middleware
Solid engineering fundamentals: coding standards, unit testing, Git, CI/CD
Nice to have
Understanding of the Chinese gaming industry and experience in Chinese game building, publishing, or operation on major Chinese gaming platforms
Experience in backend development for games or game platforms
Familiarity with server-side integration of game SDKs (accounts, in-app purchases, real-name verification)
Familiarity with in-app purchase (IAP), virtual goods, and order management
Experience with multi-tenant SaaS / white-label platform architecture
Familiarity with Elasticsearch
Experience designing and optimizing high-concurrency, high-traffic systems
Experience with app stores or content/game distribution platforms
Knowledge of object storage and CDN, with experience in or awareness of large-file / high-concurrency delivery
Note: Less experienced candidate could be considered as middle-level developer.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Shanghai
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators.
Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Senior Android Engineer who is self-motivated, product-minded, and technically rigorous to join our Storefront Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build a high-quality, white-label Android game store from the ground up, tackling complex challenges in large-game distribution, download management, and multi-tenant theming.
Strong Kotlin and modern Android development skills are essential, along with experience in native Android development, particularly with large-file downloaders, app stores, or content distribution systems. The ability to collaborate effectively with cross-functional teams (product, design, backend, and QA) and drive technical decisions will be key to your success in this role.
If you’re passionate about creating high-performance, feature-rich consumer-facing applications and love solving the unique technical challenges of distributing and updating large-scale Android games, we would love to hear from you!
Responsibilities
Design, build, and maintain the Android client for the game store, using Kotlin + Jetpack Compose to deliver a modern, high-performance UI.
Implement core features: game browsing, categories, search and filtering, game detail pages, user accounts, game library, ratings and reviews.
Design and implement the game download, install, and update management module (resumable downloads, guided/silent installation, signature verification, version management).
Implement white-label theming and multi-channel build capabilities (via Gradle product flavors and/or runtime theme configuration) to support per-partner branding.
Optimize app performance (e.g. startup time), stability (e.g. crash rate), binary size, and memory usage.
Collaborate closely with product owner, designer, backend dev, and QA; contribute to technical design and code reviews.
Write clean, maintainable, and well-tested code; enforce coding standards and participate in peer code reviews.
Game industry experience required
On-site position only (remote work not available)
Qualifications and Skills
Degree in Computer Science or a related field, with 5+ years of native Android development experience.
Strong command of Kotlin, including coroutines and Flow for asynchronous programming (or mastery of Java and its equivalents).
Proficient with Jetpack Compose for declarative UI development (traditional View/XML experience is a plus).
Familiar with Android Jetpack components (ViewModel, Lifecycle, Room, Navigation, Hilt) and MVVM/MVI architecture.
Familiar with common libraries: networking (Retrofit/OkHttp), image loading (Coil/Glide), and local storage.
Familiar with the Gradle build system, including white-label / multi-tenant / multi-flavor builds, signing, and version management.
Solid understanding of Android’s installation mechanisms, permission model, and behavioral changes across OS versions.
Solid engineering fundamentals: coding standards, unit testing, and version control (GitLab/GitHub).
Proficiency with AI coding tools to boost development productivity.
Nice to have
Understanding of the Chinese gaming industry, game app characteristics, and player needs.
Experience in game development, publishing, or operations on major Chinese gaming platforms.
Familiarity with the Android package structure exported by game engines such as Unity / Unreal (APK + OBB expansion files, large asset bundles).
Experience integrating game SDKs (account login, in-app purchases, ad monetization, analytics, real-name verification).
Note: Less experienced candidates could be considered as middle-level developers.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Нужен разработчик для проекта по внедрению AI-диспетчера в контакт-центр. Требуется реальный опыт работы с n8n, yandex low code, azure low code. Возможна работа по ГПХ или через ИП.
Задачи:
- Рефакторинг сервиса для работы инженерного персонала;
- Инициация и проведение архитектурных и процессных изменений;
- Формирование технической документации;
- Контроль качества кода и работы сервисов в промышленной эксплуатации;
- Работа с инцидентами;
- Работа с командой (менторинг, участие в составлении планов развития, проведение ретроспектив и one-to-one);
- Взаимодействие со смежными командами (в том числе инженерного направления).
Требования:
- Отличные знания Java;
- Понимание принципов и опыт проектирования систем;
- Опыт работы с legacy продуктами (рефакторинг, реинжиниринг, поддержка);
- Понимание механизмов CI/CD, работа с k8s;
- Умение декомпозировать сложные задачи, а так же работать с задачами с высокой степенью неопределенности.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As a Design Engineer at Ramp, you sit at the intersection of design and front-end engineering. You bring ambitious ideas to life in real interfaces, prototype directly in code, validate with customers, and ship production experiences with a high bar for craft, performance, and reliability.
Design at Ramp is AI first and builder led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real customers, and then comes into Figma for systems and polish. AI and self-serve research are default parts of the workflow, not side experiments.
We are looking for multiple design engineers who think like a designer, code like a front-end engineer, and treat AI as a real collaborator.
WHAT YOU’LL DO
- Design and build high-craft product experiences: Own key surfaces end to end, from concept through production. Use layout, interaction, and motion to make complex behavior feel simple and safe.
- Work AI first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to refine quality.
- Prototype in code and validate with customers: Build interactive prototypes in React and TypeScript and test them with real users using self-serve research tools. Use what you learn to refine flows before full systemization.
- Bridge design systems, product, and brand: Translate Ramp’s design principles into reusable components and patterns. Extend the design system so expressive, brand-aligned moments are easy to build and scale.
- Reveal what our agents are doing without noise: Design patterns that show what AI and automation are doing on behalf of customers. Use hierarchy, copy, and motion to earn trust while keeping the default experience simple.
- Champion performance and accessibility: Ship work that is fast, accessible, and robust. Pay attention to semantics, focus states, reduced motion, and Core Web Vitals. Partner with engineers to debug and optimize over time.
- Share AI-native workflows: Document prompts, patterns, and workflows you use in Cursor and Claude Code. Share them with designers and engineers to raise the bar across the team.
WHAT YOU NEED
- Strong experience across both design and front-end engineering, with ownership from idea to shipped interface
- Fluency in React, TypeScript or JavaScript, semantic HTML, and modern CSS
- Active use of tools like Cursor and Claude Code, with clear opinions on how to get high-quality output
- A portfolio that shows high visual and interaction craft in live experiences or working prototypes
- A systems mindset and interest in building reusable components and patterns
- Care for performance, accessibility, and reliability as part of craft
- Clear written and verbal communication, and comfort pairing with designers, engineers, and marketers
- Based in or open to relocate to NYC
NICE TO HAVES
- Experience contributing to a design system or front-end component library
- Familiarity with experimentation or analytics tools
- Experience with headless CMS, design tokens, or theming systems
- Background in fintech, B2B SaaS, or other trust-heavy domains
- Interest in mentoring others on AI-native workflows
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Требования:
- Знание TypeScript, Angular, MaterialUI/PrimeFaces
- Умение верстать HTML/CSS
- Интеграция с backend через REST API
Плюсом будет:
- Опыт работы с Figma
- Знание RxJS/Signals
- Опыт с Jest, Karma, Mocha и подобными инструментами
Задачи:
- Проектирование и создание UI для системы DAP
- Разработка и поддержка UI на Angular
- Документирование фронтенда системы DAP
- Тестирование UI системы (unit и integration)
Условия:
- Работа над передовыми инициативами Казахстана в составе сильной продуктовой команды
- Комфортный офис с хорошим интерьером и расположением (Almaty Towers)
- Другие преимущества, которые будут озвучены на интервью
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity and we are looking for candidates from the U.S. or Canada. Residents of Quebec are not eligible for this role.
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Senior-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
Key responsibilities:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What we're looking for:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Requirements:
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Nice to have:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
In Canada, the Base compensation range for this role is CAD $
164,490 - $197,389
.
Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
#LI-Remote
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
ГибридMadrid, Spain; You lead by building, and you're demonstrably strong in production code, not only in design
ОфисСтажёрУльяновск
ОфисseniorShanghai
ОфисseniorShanghai
ГибридRelocation expense coverage to NYC or SF (if needed)