Задачи:
— Владеть процессом доставки фич: от технической проработки до выхода в production
— Работать совместно с Product и бизнесом над приоритизацией и поиском оптимальных решений
— Повышать скорость и предсказуемость разработки: сокращать time-to-market, улучшать процессы delivery
— Принимать архитектурные и инженерные решения, которые помогают продукту масштабироваться
— Проектировать и развивать backend-архитектуру, API и интеграции
— Участвовать в сложных технических решениях и помогать команде находить эффективные компромиссы
— Планировать работу команды, декомпозировать задачи и помогать достигать целей спринтов, проводить code review
— Использовать современные AI-инструменты для ускорения разработки и повышения качества
— Внедрять практики эффективного использования AI в инженерных процессах команды
Требования:
— 2+ года опыта в роли Tech Lead / Team Lead (приоритет)
— 3+ года коммерческой разработки на Python
— Опыт управления инженерной командой и ответственности за delivery
— Понимание современных backend-архитектур: микросервисы, REST, очереди, кеширование
— Опыт работы с PostgreSQL
— Практический опыт работы с Docker и Kubernetes
— Понимание CI/CD и современных подходов к поставке ПО
— Опыт использования AI-инструментов в разработке
— Умение принимать технические решения с учетом бизнес-ограничений
— Способность выстраивать процессы разработки и масштабировать команду
Будет плюсом:
— Опыт разработки на Go
— Опыт работы с Kafka
— Опыт работы с ClickHous
— Опыт масштабирования высоконагруженных систем
— Знание frontend-разработки (TypeScript/JavaScript, React/Vue/Angular)
— Опыт построения DevOps/SecOps практик
— Понимание LLM-инференса и интеграции AI-сервисов
Задачи:
— Разработка новых продуктов
— Разработка внутренних инструментов
— Обеспечение Observability реализуемых сервисов
— Работа с QA и системными аналитиками для обеспечения качества продукта
Требования:
— Сильный практический опыт в Go: concurrency, контекст, тестирование, профилирование
— Навык быстрого погружения в существующую кодовую базу
— Опыт проектирования и разработки высоконагруженных сервисов
— Понимание вопросов отказоустойчивости, производительности и деградации функциональности
— Понимание принципов микросервисной архитектуры и интеграционного взаимодействия между сервисами
— Опыт работы с PostgreSQL, Redis, Kafka
— Навыки профилирования, отладки и анализа проблем
— Опыт участия в командной разработке: code review, декомпозиции задач, взаимодействии со смежными командами
Будет плюсом:
— Опыт разработки ботов и мини-приложений для ВКонтакте, Telegram, MAX
— Понимание принципов агентской разработки (написание скиллов, планирование, управление контекстом) и опыт работы в специализированных инструментах (claude code, codex, open code)
В Expera ищут сильного системного аналитика для сложных проектов в банковской и корпоративной сферах.
В работе будут использоваться REST API, SQL, UML/BPMN, интеграции, Kafka и RabbitMQ.
Для иногородних предоставляется релокационный пакет.
ОфисmiddleТашкент; Для иногородних — релокационный пакет
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Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the Role
We are using AI to fundamentally reshape our core business infrastructure. As an
AI Application Backend Engineer
, you will be a core builder of AI engineering capabilities — deeply integrating large language models with financial business scenarios to construct the backend AI service layer powering trading intelligence, smart risk control, compliance monitoring, and user services.
Responsibilities
AI Service Layer
Architecture
& Development
: Design and develop core AI backend services, including model gateway (Model Gateway), Agent scheduling layer, and streaming inference services. Build high-concurrency, low-latency, horizontally scalable microservice architectures that meet production SLA requirements for AI-powered services.
Agent & Tool-Calling System Development
: Develop Agent workflows and tool-calling (Tool Use / Function Calling) systems on the Openclaw platform. Define tool registration and integration standards for internal systems (trading engine, risk systems, data platforms), ensuring call-level security and result integrity for financial scenarios.
Financial Scenario AI Service Delivery
: Own the development and iteration of AI backend services for core scenarios including intelligent customer service, risk signal detection, compliance analysis, and personalized services. Collaborate with algorithm teams to deliver end-to-end model integration, effectiveness validation, and performance tuning.
Data & Storage Layer
: Design and maintain data infrastructure required by AI applications, including session memory and long-term memory storage, knowledge base management and incremental update mechanisms — ensuring data consistency and retrieval quality.
Observability & Evaluation
: Establish full-chain LLM application tracing, prompt version management, and evaluation frameworks. Design automated LLM-as-Judge pipelines to continuously monitor output quality, hallucination rates, and business KPIs.
Requirements
Programming Fundamentals
: Proficiency in
Golang
or
Java
; solid understanding of data structures, algorithms, and system design; familiarity with RESTful API and gRPC interface design.
Backend Engineering Experience
:
5+ years
of backend development experience with production-level expertise in microservice frameworks (Spring Boot / go-zero), message queues (Kafka / RabbitMQ), caching (Redis), and relational databases (PostgreSQL / MySQL).
LLM/Agent Engineering in Production
:
1+ year
of hands-on production experience building LLM applications or AI Agents, with demonstrated AI skills (Agent development, LLM toolchain integration); able to independently deliver AI feature modules end-to-end.
Prompt Engineering & Model Understanding
: Deep understanding of LLM capabilities and limitations (hallucination, context length, reasoning); hands-on experience with Prompt Engineering, Few-shot and Chain-of-Thought design, with the ability to independently craft and iterate prompt strategies for complex business scenarios.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Задачи:
— разработка на PHP с использованием Laravel
— работа с базами данных MySQL и кешированием Redis
— взаимодействие с REST API
— работа с системами обмена сообщениями Kafka и NATS
— использование системы контроля версий Git
Условия:
— удалённая работа
— интенсивный темп работы с необходимостью быстро реагировать на возникающие проблемы
Требования:
— уровень Senior
Компания позиционирует себя как кузницу сильных разработчиков, где амбиции не позволяют стоять на месте.
Задачи:
— разрабатывать и развивать backend-сервисы на Java / Spring.
— проектировать и поддерживать микросервисную архитектуру.
— работать с интеграциями блокчейн-сетей и смарт-контрактов.
— строить и поддерживать API для клиентского приложения, внутренних инструментов и интеграций.
— работать с Kafka, PostgreSQL, очередями, событиями и высоконагруженными процессами.
— участвовать в принятии архитектурных решений и улучшении технического ландшафта продукта.
— обеспечивать надёжность, безопасность и масштабируемость сервисов.
— участвовать в code review, делиться опытом с командой и помогать усиливать инженерные практики.
Требования:
— уверенный опыт backend-разработки на Java.
— хорошее знание Spring / Spring Boot.
— опыт работы с микросервисами.
— практический опыт с PostgreSQL и Apache Kafka.
— опыт работы с AWS и Kubernetes.
— понимание принципов построения надёжных и безопасных backend-систем.
— разговорный английский язык.
— будет плюсом опыт в fintech, blockchain / Web3, а также понимание compliance и regulated environments.
— будет особенно полезно опыт интеграции блокчейн-решений в production.
— понимание смарт-контрактов и Web3-инфраструктуры.
— опыт работы в финансовых или высокорегулируемых продуктах.
Условия:
— удалённая работа, можно выбрать любую страну для проживания.
— оформление по международному контракту или по ТК РФ.
— гибкий график работы — лояльное начало дня, 8 часов рабочий день.
— возможность выбрать привычное оборудование (Mac, Linux, Windows, мониторы и пр.).
— Performance Review для выстраивания целей.
— непрерывное обучение через внутреннюю Академию и партнёрские программы.
— участие в митапах, конференциях, хакатонах, квестах, онлайн-играх.
— корпоративные программы: английский, мастер-классы, развлечения и отдых.
УдалённоseniorНепрерывное обучение: у нас есть внутренняя Академия, а также много партнёрских программ, которые поделятся знаниями не только в профессиональной сфере, но и поддержат хобби
Задачи:
— собирать, анализировать и систематизировать требования к информационным системам
— описывать функциональные требования и составлять детальные ТЗ на разработку/доработку ПО и интеграцию
— выявлять, собирать и формировать нефункциональные требования (информационная безопасность, нагрузка, производительность)
— прорабатывать интеграционные взаимодействия (очереди, шина, API)
— участвовать в проектировании архитектуры
— работать с запросами (3-я линия поддержки)
— проектировать схемы данных, писать SQL-запросы и строить дашборды для мониторинга качества данных
— участвовать в тестировании интеграционных потоков данных
Требования:
— умение моделировать бизнес-процессы и интеграции (BPMN, UML)
— навыки проектирования БД и уверенное владение SQL
— знание интеграционных подходов (REST, SOAP, очереди, шина)
— понимание архитектуры информационных систем и микросервисов
— понимание принципов ETL/ELT и работы с JSON/XML
— базовое понимание Elasticsearch/Kibana и Kafka
Задачи:
— собирать и формализовать требования от уровня идей и фичей до конкретных контрактов микросервисов и интеграций
— декомпозировать эпики на пользовательские и системные истории
— проектировать и ревьюить OpenAPI-контракты по подходу contract-first, согласовывать изменения общих контрактов (включая core-common) между командами
— описывать событийное взаимодействие через Kafka: сущности, поля, ActionType, карту топиков и потоков данных
— прорабатывать интеграции: протоколы и форматы обмена со смежными системами, модели идентичности и механизм проброса прав проектов из мастер-системы на базе общей системы идентификации
— анализировать фичи, наследуемые из ядра GitLab (проекты, группы, членство и уровни доступа, MR, ветки, пайплайны, лейблы, сниппеты) — определять, что используется «как есть», что обёрнуто сервисами, что заменено городскими модулями, и переописывать эту картину в рамках апгрейда 15 → 17/18
— ставить задачи разработке, выполнять приёмочное ревью реализации на соответствие спецификации и участвовать в ревью спецификаций
— разрабатывать схемы, сценарии и критерии приёмки, вести и актуализировать документацию подсистем
— проводить демо-показы создаваемого функционала
Требования:
— опыт работы системным/бизнес-аналитиком в продуктовой разработке распределённых систем (микросервисы)
— openapi/swagger на уровне написания и ревью спецификаций, а не только чтения
— понимание событийной архитектуры (брокеры сообщений, pub/sub, идемпотентность, согласованность, обработка ошибок)
— базовые знания Kafka
— проектирование интеграций между системами: форматы обмена, контракты, версионирование, обратная совместимость
— умение рисовать архитектурные схемы (uml / bpmn / er)
— sql на уровне анализа данных (postgresql)
Будет плюсом:
— понимание модели gitlab (проекты/группы/доступы/mr/pipelines) и опыт с форками open-source
— oidc/oauth2 и sso
— sast/проверки безопасности кода, антивирусные проверки репозиториев
— опыт в городских ис москвы
— c4, redis/opensearch/s3
Условия:
— рыночная зарплата и премии
— драйвовые задачи и ресурсы для их реализации
— гибридный формат работы, офис в бизнес-центре класса А (метро Курская)
— преимущества аккредитованной IT-компании
— материальная помощь в случае важных событий в жизни
— корпоративное обучение у топовых провайдеров и доступ к онлайн-библиотеке
— корпоративные тренировки и спортивные активности - бег, футбол, волейбол, баскетбол, теннис и другие
— комьюнити по интересам
— скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д.
ГибридНа данный момент находимся в поиске аналитика в команду, которая будет заниматься развиваем собственной платформу для разработки
Задачи:
— Разработка двусторонних обменов по REST API: клиенты, заказы, события, статусы
— Выгрузка стока автомобилей на площадки (фиды XML/JSON, API) и приём лидов с площадок и сайтов
— Разработка HTTP-сервисов 1С для приёма данных от внешних систем
— Обеспечение надёжности обменов: очереди, повторные попытки, журналирование, контроль ошибок
— Доработка конфигурации под задачи интеграций
Требования:
— Коммерческий опыт разработки на 1С от 3 лет, уверенная работа с большими доработанными или самописными конфигурациями
— Опыт с управляемыми или обычными формами (обычное приложение)
— Реальный опыт интеграций 1С с внешними (не 1С) сервисами — не менее 2 проектов, которые кандидат может подробно описать
— Стек интеграций: HTTP Соединение, HTTP-сервисы 1С, JSON и XML (Чтение JSON/Запись JSON, XDTO), REST, авторизация (OAuth 2.0, токены), работа с документацией API
— Надёжность обменов: регламентные и фоновые задания, очередь обмена, обработка ошибок и лимитов API, защита от дублей при повторной отправке, логирование
— Язык запросов 1С: уверенное владение, оптимизация, работа с большими объёмами данных
Будет преимуществом:
— Опыт с брокерами сообщений: Kafka, RabbitMQ, 1С:Шина
— Интеграции с Mindbox или другими CDP/CRM, маркетплейсами (Ozon, WB), площадками объявлений, сайтами (Bitrix и др.)
— Дополнительный интеграционный опыт: телефония, банки, ЭДО и др.
— Использование ИИ-ассистентов в разработке
— Управляемые формы, БСП, EDT, Git, Postman
— Сертификат «1С:Специалист»
— Опыт в автобизнесе
Условия:
— Официальное трудоустройство в аккредитованную ИТ-компанию "АйТиКит" (входит в группу компаний Авилон)
— График работы 5/2 с 09:00 до 18:00
— Место работы: в пешей доступности от м. Текстильщики
— Фиксированный оклад 235 000 ₽ до вычета налогов
— Приветственный подарок от компании в день оформления
— ДМС и корпоративные тарифы на мобильную связь
— Скидки на покупку автомобилей/автозапчастей и сервисное обслуживание
— Скидки для сотрудников и членов их семей от партнеров компании (доставка продуктов, фитнес клубы, туроператоры, банки, застройщики и др.)
— Отзывчивый коллектив, доплата за выслугу лет, премия по акции «Приведи друга», подарки детям на Новый год и многое другое
Задачи:
— Проектирование и разработка серверной части (back-end) кросс-платформенных приложений и микросервисов с использованием языков Python, Java, Kotlin, C++.
— Создание, оптимизация и поддержка высоконагруженных и многопоточных приложений.
— Проектирование и реализация REST/gRPC API для взаимодействия между сервисами и клиентскими приложениями.
— Работа с брокерами сообщений и очередями (RabbitMQ/AMQP, Apache Kafka) для обеспечения асинхронного и надежного межсервисного взаимодействия.
— Профилирование и глубокая оптимизация существующих приложений с точки зрения быстродействия, потребления памяти и масштабируемости.
— Контейнеризация сервисов с использованием Docker, написание Dockerfile и оркестрация (опыт с Kubernetes будет плюсом).
— Разработка и оптимизация сложных SQL-запросов, работа с СУБД PostgreSQL и IBM Informix. Понимание принципов шардирования и репликации баз данных.
— Работа в среде Linux (Astra Linux, Alt, RedOS). Написание скриптов (bash/python) для автоматизации.
Требования:
— Опыт коммерческой разработки на одном из языков: Python 3.x (asyncio, FastAPI/Django), Java/Kotlin (Spring Boot), C++ (STL, многопоточность) от 2-х лет.
— Понимание архитектурных паттернов (микросервисы, Event-Driven) и принципов проектирования чистого API.
— Опыт работы с SQL (сложные запросы, оконные функции), знание основ проектирования БД.
— Практический опыт работы с Docker.
— Опыт работы с системой контроля версий Git.
— Уверенная работа в Linux-среде (администрирование, сеть, поиск проблем).
Желательно (будет преимуществом):
— Опыт работы с IBM Informix или другими «легаси» СУБД.
— Глубокий опыт настройки и применения Apache Kafka или RabbitMQ в production.
— Опыт профилирования приложений (Python: cProfile, py-spy; JVM: async-profiler, YourKit; С++: perf, VTune).
— Навыки написания многопоточного и асинхронного кода, понимание примитивов синхронизации.
— Знание протоколов сетевого взаимодействия (HTTP/2, gRPC, WebSockets).
— Опыт работы с ОС Astra Linux или другими российскими дистрибутивами.
— Понимание CI/CD процессов.
Условия:
— Стабильную работу на предприятии.
— Официальное трудоустройство по ТК РФ, полный социальный пакет.
— Режим рабочего времени: Пн.-Пт. с 8:40-16:40.
— Своя парковка, столовая, тренажерный зал для сотрудников на территории предприятия.
— Возможность профессионального роста и повышения квалификации.
— Систему наставничества и планового обучения.
— Четкий карьерный путь: Junior → Middle → Senior → Архитектор. Регулярный пересмотр зарплаты в соответствии с ростом компетенций.
— Корпоративные поликлиника и ДМС после прохождения испытательного срока.
— Спортивный зал и столовые на территории института.
— Работа в аккредитованной IT-компании.
— Отсрочка от мобилизации (для военнообязанных).
Location: Oakland, California, United States, AMER
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
Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies.
We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing.
You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales.
This is a full-time, fully remote position.
Technologies You'll Use
Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog
What You'll D
o
Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing
Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance
Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions
Participate in and review technical designs and pull requests, providing constructive feedback to the team
Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt
Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans
Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning
Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability
Participate periodically in the on-call rotation, and be mindful of security throughout your work
Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans
Skills We're Looking Fo
r
5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up
Experience working with distributed systems and cloud computing concepts
Demonstrated ability to write well-structured, performant, and well-tested code
Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs
Can identify design flaws in existing systems and propose improvements
Experience with code reviews, design, troubleshooting, and testing
Proficiency in a modern backend or systems language such as Python, Java, C++, or C#
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus
Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts
Bonus Skill
s
Experience in data processing (ETL, ELT) and/or cloud-based data platforms
Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems
Experience with GraphQL APIs and high-throughput, multi-tenant data services
Familiarity with the analytics engineering workflow and the dbt ecosystem
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
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: San Francisco, CA, USA
About the Role
As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime.
You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company.
Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture.
This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress.
In this role, you can expect to
Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pipelines, connectors, and the infrastructure that moves first-party and third-party data into and out of Chime's ecosystem.
Stay hands-on through architecture, design and code reviews, and targeted production contributions focused on the highest-leverage platform problems, while coaching engineers and owning team execution.
Design and evolve scalable, high-performance integration architecture that balances reliability, cost, and ease of use for both analytical and in-product data flows.
Build and operate reliable connectors and pipelines for diverse sources and sinks across APIs, event streams, file transfers, and change-data-capture.
Ensure performant and secure data movement by defining ingress/egress patterns, throughput and latency targets, schema evolution, and error handling / replay for key data flows.
Collaborate across the Data Intelligence Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, the integration layer, and consumers including external partners.
Build tooling and automation for governance and compliance across sources and sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability), with particular attention to data leaving Chime's boundary, in partnership with Security, Risk, and Compliance.
Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.
Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the integration pipelines and connectors your team owns.
Stay ahead of industry trends in data integration, streaming, and ingestion/egress tooling, and thoughtfully introduce technologies that improve our platform's capabilities.
To thrive in this role, you
Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data integration or data movement systems.
Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
Bring hands-on coding ability and a genuine desire to remain technical while leading a team. You are comfortable writing and reviewing production code, particularly where it resolves ambiguity or unlocks the team’s progress
Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality.
Bring deep experience with data integration and movement components, such as ingestion and CDC pipelines, connector frameworks, event streaming, and API- and file-based (e.g., SFTP) data exchange alongside the data lakes/lakehouses (e.g., Iceberg) and warehouses (e.g., Snowflake) they feed and drain.
Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data contracts, and schema-evolution strategies across system boundaries.
Are comfortable working with modern data and infrastructure technologies, such as Kafka, Flink, Spark, Airflow, Kubernetes, and connector/ingestion tooling (e.g., Debezium, Fivetran/Airbyte-style frameworks).
Are hands-on proficient in Python (preferred) or a comparable language (e.g., Java, Scala), able to write, review, and ship production-quality code, and are fluent in SQL and performance tuning for analytical workloads.
Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents.
Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) especially for third-party data sharing and data crossing Chime's trust boundary and have helped design systems that meet regulatory and internal standards.
Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, and reliable data pipelines that feed them).
Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, as well as external partners and vendors, and can translate between technical and business contexts.
Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence.
#LI-DA1 #LI-Onsite
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$199,000
—
$275,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
QA-специалист (Инженер по тестированию) для работы с платформой Navision/MS Dynamics NAV в аутсорсинговой IT-компании ООО «Ростджоб».
Требования:
— Опыт работы с ERP, обязательно на платформе Navision/MS Dynamics NAV от 2 лет;
— Опыт подготовки тестовых моделей;
— Опыт проведения функциональных и интеграционных тестов;
— Знание инструментов автоматизации тестирования (средства ведения тест-кейсов, трекеры дефектов, средства тестирования API);
— Желателен опыт использования модуля автотестирования на платформе Navision/MS Dynamics NAV;
— Знание SQL;
— Знание Apache Kafka (проверка целостности и порядка доставки сообщений).
Задачи:
— Разработка тестовых моделей, тест-кейсов и чек-листов;
— Проведение функционального и интеграционного тестирования доработок на платформе Navision/MS Dynamics NAV;
— Ведение тест-кейсов и учёт дефектов в трекере (Jira);
— Тестирование API-интеграций (SOAP/REST);
— Взаимодействие с аналитиками и разработчиками для уточнения требований и локализации дефектов;
— Разработка и поддержка автотестов (при наличии опыта);
— Подготовка отчётности о результатах тестирования.
Условия:
— Полностью удалённый формат работы, режим работы приблизительно 9:00–18:00 по МСК;
— Локация: любая, но работа по московскому времени;
— Гражданство: любое;
— Грейд: от миддл/миддл+.
Задачи:
— Проектирование, разработка, внедрение технологических сервисов на Java
— Покрытие своего кода интеграционными, end-to-end тестами, а также self testing своих фич
— Проектирование функциональной и логической архитектуры системы, логики взаимодействия между подсистемами
— Проведение код ревью коллег
— Декомпозиция задач, оценка сроков
Требования:
— Проживание в Санкт-Петербурге
— Высшее образование в области информационных технологий
— От 4 лет опыта коммерческой разработки на Java c использованием Spring
— Знание паттернов микросервисной архитектуры
— Знание принципов ООП
— Знание и практический опыт работы с БД (PostgreSQL, Casandra/MongoDB)
— Опыт разработки интеграционных решений (REST API, Kafka)
— Опыт работы с библиотеками и фреймворками для тестирования
— Понимание принципов работы Docker, Kubernetes/Openshift
Будет плюсом:
— Навыки работы с генеративными AI-моделями
— Знание решений на базе платформы Авандок
— Опыт с проектами ЭДО
Location: Remote, California, United States, AMER
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
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking to hire a
Senior
Sales Engineer Enterprise
to join our Field Engineering team. As a Sales Engineer, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt.
You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business.
This is a full-time position based in the West Region.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs
What You’ll Do
Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling
Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition
Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation
Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable
Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap
Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks)
Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion
Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community
Skills We’re Looking For
7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures
Hands-on experience with SQL, ETL/ELT, and data modeling
Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools
Ability to gather and translate technical and business requirements into concrete solutions
Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders
Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments
Optional Bonus Skills
Prior experience at an analytics, ETL, BI, or open-source software company
Hands-on experience with dbt Cloud or dbt Core or Fivetran
Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF)
Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend)
Experience with self-hosted software applications and supporting infrastructure
Hands-on networking experience, cloud and on-premise
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process
OTE (On Target Earning)
$218,491.87
—
$303,462.32 USD
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: Lithuania
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian
Experience in fintech
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: Serbia
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian
Experience in fintech
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Location: Portugal
Workplace: fully
About the Client
Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.
Role Overview
As a
Data Engineer
, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.
Key Responsibilities
Work with various data sources and integrate them into internal systems.
Develop, optimize, and maintain ETL pipelines and data ingestion processes.
Take ownership of data lakes, including their maintenance and documentation.
Transform complex data structures into machine-readable formats.
Design and maintain databases and data infrastructure.
Work closely with other departments to verify the relevance, quality, and accuracy of data.
Identify opportunities to improve the reliability and efficiency of existing data processes.
Requirements
Strong proficiency in Python and advanced SQL.
Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
Practical experience with Apache Spark for large-scale data processing.
Experience with Apache Kafka and event-driven/streaming data pipelines.
Hands-on experience with database design, data modeling, optimization, and performance tuning.
Practical experience with AWS cloud services and cloud-based data infrastructure.
Experience with Apache Airflow for workflow orchestration and scheduling.
Practical experience with Docker and containerized environments.
Strong knowledge of Git and modern software development workflows.
Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
Ability to write clean, efficient, testable, and maintainable code.
Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
Languages: English, Russian
Experience in fintech
Key Soft Skills
Strong analytical and problem-solving skills with excellent attention to detail.
Ownership mindset, proactivity, and ability to work independently and manage priorities.
Strong communication and collaboration skills with the ability to work effectively across teams.
What We Offer
Competitive salary aligned with experience
Collaborative and transparent team culture
High-impact role in a scaling fintech company
Recognition of personal milestones and achievements
Social benefits
Kuala Lumpur, Malaysia
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