Задачи:
— тестирование backend/API и мобильных сценариев нового мобильного приложения с AI-функциональностью;
— написание тестов на Python для ML-части;
— поддержка существующих автотестов на Java для мобильных end2end сценариев;
— проверка клиент-серверного взаимодействия, авторизации, обработки ошибок, деградаций и fallback states;
— работа с чек-листами, тест-кейсами, регрессом, smoke и exploratory testing;
— фиксация воспроизводимых AI-дефектов с контекстом (prompt, model/version, input, output, trace/request id);
— проверка сценариев с недетерминированным результатом AI;
— учёт privacy/security ограничений при работе с медицинскими и пользовательскими данными;
— взаимодействие с командами Product, Backend, ML, Mobile, SA и аналитиками для принятия решения о готовности релиза;
— формирование компактных наборов регрессионных проверок для AI-сценариев.
Требования:
— уверенное знание Python;
— опыт тестирования backend/API (REST, HTTP-статусы, авторизация, валидация, ошибки, контракты, асинхронные сценарии);
— опыт тестирования мобильных приложений iOS/Android или готовность работать с мобильным контуром;
— владение тест-дизайном (классы эквивалентности, граничные значения, переходы состояний, негативные сценарии, exploratory testing);
— опыт работы со снифферами/proxy (Charles, Proxyman, mitmproxy или аналоги);
— умение проверять данные в базах данных (PostgreSQL/MySQL или аналоги);
— навык написания воспроизводимых bug reports с окружением, шагами, логами и request/trace id;
— понимание особенностей тестирования AI, умение фиксировать воспроизводимые AI-дефекты и знание privacy/security ограничений;
— плюсом будет опыт тестирования chat/assistant, рекомендаций, скоринга, персонализации или data-heavy продуктов, работа с логами, трассировкой, мониторингами и production diagnostics, базовое понимание автоматизации API и/или мобильных тестов.
Условия:
— удалённая работа;
— полная занятость.
We're looking for a hands-on AI Engineer to take ownership of the architecture and development of our autonomous agent system. You'll lead the technical direction of the platform, building multi-agent orchestration systems, self-improving agent harnesses, and AI-powered backend services.
Location: Chicago, IL or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As an AI Engineer you will build and ship LLM-powered features and agentic workflows for our customers. These features automate the routine parts of a claim and guide customers on the rest, so they have to earn that trust with measured accuracy, not a convincing demo. Agents run as steps inside deterministic workflows, and privacy and security are design baselines, not review gates. Agentic coding tools are how you move fast. What you add is what they are worst at: system design, security, and hard debugging. You own features end to end.
Salary range is:
$170,000 - 195,000
This position is bonus eligible.
Key Responsibilities:
Ship LLM-powered features and agentic workflows in Python and TypeScript, from a problem scoped with product managers and data scientists through production traffic, and help set the metrics you will be measured against.
Write the evals, guardrails, and feedback loops that make your features trustworthy, and hold them to explicit token and latency budgets.
Use agentic coding tools every day, and own the review of what they produce: catch the correctness, security, and design problems in generated code before you open the pull request.
Maintain and extend the NLP pipelines that turn unstructured claim data into structured data customers can act on, blending semantic search, classical NLP, and LLMs.
Build and operate durable, event-driven services in which agents run as steps inside deterministic workflows, with checkpointed model outputs so a retry does not re-invoke a completed LLM step.
Trace every model call and agent step so a recommendation can be reconstructed and audited, with citations back to the source documents, and wire that tracing into your alerts.
Model and query claims data across relational, document, and graph stores.
Design privacy and security in from the start: tenant isolation, least-privilege access for agents and their tools, and a clear rule for what data may reach a model provider.
Write a technical design document before any significant change, and use it to get feedback and buy-in from the team before you build.
Take part in a shared on-call rotation for the services you build.
Requirements:
3+ years of professional software engineering experience, including at least one LLM-powered feature you shipped and then operated in production.
Python and TypeScript: typed, tested, async code in both, and real depth in one.
Evals you have designed for LLM output, plus guardrails you have shipped.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work.
Pipelines that blend LLMs with semantic search and classical NLP: structured output, tool calling, embedding-based retrieval, and a case where a classical technique beat an LLM.
Services built on message- or event-driven architectures, including long-running workflows with retries, idempotent handlers, and event-sourced state, plus an LLM or agent step you ran inside one.
Data modeling and development across relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including when each type fits and the partition-key, consistency, and tenant-isolation calls you made.
Backend services built and operated on Azure or AWS, and exposure to a durable workflow engine such as Temporal or the Durable Task Scheduler.
Technical design documents you have written to get feedback and buy-in from a team before building, and that the team then built to.
Clear writing and discussion for technical and non-technical audiences, and code review you can give as well as take.
Even Better if You Have:
React and TypeScript experience, so you can deliver a full-stack feature end to end. Chat, streaming, and citation-heavy AI experiences especially.
Experience with CI/CD pipelines and infrastructure as code such as Terraform or Bicep.
Experience with agent frameworks, LangGraph and the Microsoft Agent Framework among them, and with the ways agents reach their tools: the Model Context Protocol (MCP), the Agent2Agent (A2A) protocol, command-line tools, and microservices.
Experience with LLM observability and evaluation tooling such as LangSmith, Arize, or Braintrust, and with OpenTelemetry-based tracing.
Experience designing A/B tests for AI features, or what-if simulations that replay historical claims through a proposed change before it ships.
Exposure to the insurance, claims, or automotive repair domains.
What Success Looks Like:
In your first six months you ship an LLM-powered feature, its evals run in CI, and you can name the metric it moved.
When a model migration or prompt change causes a regression, the evals you wrote catch it before a customer does.
You take ownership from concept to production with light direction, asking the right questions early.
You care that things hold up: the services you build survive retries, partial failures, and model migrations without incidents a customer can see.
When something goes wrong in production, the trace tells you which step and which model call, and you can show an auditor the same thing.
Privacy and security reviews of your features find nothing that was not already designed in.
You enjoy the craft, and it shows: engineers pick up your patterns without being told to.
You enjoy the back-and-forth that gets a feature scoped, and you can argue a position without needing to win it.
You embrace our ambitious, collaborative, and empathetic values, and you like problems where the answer has to be measured rather than argued.
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Ищем Tech Lead для руководства командой NLP-инженеров и backend-разработчиков, которая развивает платформу парсинга документов в банке. Специалист будет отвечать за техническое развитие продукта, архитектуру LLM/NLP-решений, управление бэклогом и качество реализации.
Location: Islamabad, Pakistan
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Cairo, Egypt
Workplace: hybrid
We are looking for a
Senior Software Engineer
to build and run backend services and internal web applications for our AI teams. You will write production-grade
Go, Python and TypeScript
, own your services from design to on-call. You bring hands-on experience building AI agents in production: tool calling, state, reliability and observability of LLM-based systems. You will work with data scientists, backend engineers, QA and product managers.
Key Responsibilities
Design, build and run backend services in Go and Python, and own them in production: delivery, monitoring, on-call.
Build and evolve backend services that run LLM-based agents: tool calling, MCP integrations, structured output, conversation state and guardrails in code.
Build internal web applications in React and TypeScript, from simple admin pages to complex interactive interfaces.
Support and develop existing production services together with the team: reviews, on-call, fixes and new features.
Design data models and APIs for configuration-heavy products, with attention to consistency, history and safe changes.
Integrate services with the wider backend: sync (HTTP, gRPC, GraphQL) and async (Kafka) communication, built for reliability.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Drive technical research and design for new features. Weigh trade-offs and write them down.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
5+ years of commercial software engineering, with
production work on both backend and frontend
. You have written production code without coding agents.
Strong Go: you know and have used its advanced features in production.
Strong Python for service code: async, typing, testing, and a modern web framework such as FastAPI.
Hands-on experience building and running AI agents in production
Strong TypeScript and React: you have built and maintained non-trivial web applications, including complex forms, editors and data visualisation.
Strong SQL: schema design, indexes, query optimisation and migrations. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, GraphQL, Kafka), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, OpenTelemetry or similar).
Git workflows and code review, comfortable Linux command line, and networking basics.
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Experience using AI coding agents with full review of generated changes.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Москва
Workplace: Офис
Яндекс хочет сделать перемещение людей более безопасным, доступным и удобным. Мы ставим перед собой масштабную цель: оказаться в числе первых в мире компаний, создавших технологию автономного управления автомобилем. Для этого собираем увлечённых, умных и целеустремлённых профессионалов.
Наша команда занимается разработкой и поддержкой программной платформы, которая конфигурирует, запускает компоненты автономного транспорта и роботов-доставщиков и управляет их работой. Платформа передаёт потоки информации между компонентами, контролирует безопасность системы в целом, а в случае сбоя останавливает автономный автомобиль безопасным способом.
Наши основные вызовы
* скорость: минимизация задержек передачи информации между компонентами;
* эффективность: чем меньше вычислительных ресурсов потребляет программная платформа, тем больше останется для основной задачи — построения безопасной траектории движения;
* надёжность: программная платформа должна обеспечивать безопасность системы даже в случае серьёзных неполадок.
Обязанности
Разработка кода в соответствии со стандартами automotive safety
Вам предстоит разрабатывать код программной платформы, чтобы он был супернадёжным и соответствовал строгим стандартам безопасности, принятым в автомобильной отрасли.
Оптимизация алгоритмов и кода программной платформы для уменьшения времени реакции системы на внешние данные
Вам нужно будет оптимизировать код системы автономного управления автомобиля для быстрой реакции на изменения окружающей обстановки.
Развитие и рефакторинг диагностической системы автономного транспорта
Вам предстоит дорабатывать код диагностической системы, которая отслеживает общее состояние автономного автомобиля, детектирует любые отклонения и инициирует безопасную остановку, если отклонение всё же произошло.
Больше о бэкенде в Яндексе — в канале
Yandex for Backend
Требования
* Имеете хорошую алгоритмическую подготовку и пытливый склад ума
* Опытный программист на C++, знакомы со свежими стандартами языка (17, 20)
* Хорошо знакомы со стандартной библиотекой языка
* Занимались разработкой в многопоточной среде
* Знакомы с принципами TDD, умеете писать хорошие изолированные тесты
* Ориентируетесь в разработке под Linux
Будет плюсом
* Знакомы с языками Python, Go, ещё лучше — если имели опыт промышленной разработки на них
* Разрабатывали диагностические системы
* Знакомы с принципами automotive safety, применяли какие-либо стандарты из этой области
Location: Москва
Workplace: Офис
Мы создаём систему распознавания и прогнозирования для автономного транспорта. Чтобы ускорить её работу, используем алгоритмы машинного обучения — и их число постоянно растёт. Если вы увлекаетесь оптимизацией и распараллеливанием алгоритмов, хорошо знаете C++ и Python — ждём вас в команде!
Мы ставим перед собой масштабную цель: оказаться в числе первых в мире компаний, создавших технологию автономного управления транспортом.
Чтобы ускорить работу системы распознавания и прогнозирования и, как результат, научить автомобили и роботов-доставщиков ещё быстрее действовать в дорожных ситуациях, мы используем алгоритмы машинного обучения. Алгоритмы усложняются, их количество растёт, и наша задача — повысить эффективность их работы при ограниченных ресурсах.
Если вы увлекаетесь оптимизацией и распараллеливанием алгоритмов, а каждый потреблённый оборудованием ватт готовы пустить в дело, то вам точно у нас понравится!
Обязанности
Повышение эффективности алгоритмов
Вам предстоит оптимизировать алгоритмы, учитывая аппаратные особенности платформ, автоматизировать тестирование алгоритмов и их адаптацию к платформе.
Работа с платформами для вычислений
Вы будете исследовать современные платформы исполнения параллельных вычислений и подбирать оптимальную архитектуру параллельного исполнения алгоритмов на конкретной платформе.
Больше о бэкенде в Яндексе — в канале
Yandex for Backend
Требования
* Работали с PyTorch (или TensorFlow), конвертировали ML-модели в ONNX и запускали на TensorRT, ONNX Runtime, TFLite или любом другом фреймворке
* Использовали CUDA/OpenCL, оптимизировали и распараллеливали вычисления на CUDA/OpenCL или других архитектурах ускорителей
* Хорошо знаете C++, Python
* Уверенно владеете классическими структурами данных и алгоритмами
* Знакомы с линейной алгеброй, теорией вероятностей
* Можете объяснять свои решения и отстаивать их перед оппонентами
* Умеете работать в команде
Будет плюсом
* Решали прикладные задачи с помощью машинного обучения или Deep Learning
* Писали кастомные плагины для ONNX, TensorRT или любого другого фреймворка с использованием C++, CUDA, OpenCL
* Знакомы с методами сжатия, прунинга, квантизации нейросетей
* Разбираетесь в дискретной математике и теории оптимизации
* Хорошо знаете STL
* Имеете опыт индустриальной разработки, не связанной с машинным обучением
Workplace: Удалённый, Офис, Гибридный
Ищем талантливого Kotlin-разработчика, который поможет нам ускорить создание и масштабирование умного финтех-сервиса на базе AI-агентов. Вам предстоит участвовать в сквозной разработке: от интеграции AI‑технологий до создания мобильного интерфейса и написания бэкенда.
Мы — стартап‑команда в сфере Финтеха внутри Яндекса. Наша цель — создавать прорывные финансовые сервисы на стыке передовых технологий и AI. Сейчас наш ключевой фокус — запуск и масштабирование agentic-finance-продукта (умного финтех-сервиса на базе AI-агентов).
Ищем талантливого Kotlin-разработчика, который поможет нам ускорить разработку и вывести продукт на новый уровень. Вам предстоит участвовать в сквозной разработке: от интеграции AI‑технологий до создания мобильного интерфейса и написания бэкенда.
Дух стартапа в нашей команде означает, что мы ценим скорость, гибкость и готовность экспериментировать. При этом вы будете работать в надёжной экосистеме Яндекса с доступом ко всем её ресурсам и возможностям.
Наш технологический стек:
* Mobile: Compose Multiplatform, Swift
* Backend: Kotlin, Spring Boot
* AI: интеграция с LLM (YandexGPT, Eliza), построение агентных сценариев
* Данные и инфраструктура: YDB, PostgreSQL
Обязанности
Сквозная разработка
Вам предстоит проектировать гибкую архитектуру и писать код для бэкенда, мобильных интерфейсов и AI-компонентов.
Быстрый запуск фич
Вам предстоит собирать и тестировать MVP продуктовых гипотез в сжатые сроки, оперативно выводя их на реальный рынок.
AI-driven-разработка
Вы будете активно использовать LLM и AI-агентов для автоматизации и кратного ускорения процессов написания кода.
Техническое лидерство
Нужно будет приносить идеи для оптимизаций, глубоко погружаться в продукт и отвечать за широкий круг инженерных задач.
Больше о бэкенде в Яндексе — в канале
Yandex for Backend
Требования
* Занимались коммерческой разработкой бэкенда от пяти лет
* Уверенно используете AI‑агентов для написания кода: понимаете, как выстроить процесс взаимодействия с ними для разных типов задач, умеете оптимально распределять ресурсы
* Умеете прорабатывать архитектуру систем с учётом перспектив масштабирования
* Имеете практический опыт быстрого запуска новых фич и работы в режиме MVP
* Предлагаете идеи по оптимизации процессов и улучшению продукта
* Гибко мыслите и готовы адаптироваться к меняющимся приоритетам проекта
* Готовы брать на себя ответственность за широкий круг задач и погружаться в незнакомые сферы
* Нацелены на интенсивную работу и быстрый результат
Мы создаём платформу Яндекса, которая поможет блогерам развивать своё дело и зарабатывать, а рекламодателям — работать с авторами. Ищем руководителя продукта. Приходите определять стратегию, сопровождать продукты до запуска и развивать инфлюенс-платформу.
Мы создаём платформу Яндекса, которая поможет блогерам развивать своё дело и зарабатывать, а рекламодателям — работать с авторами.
Обязанности
Определение стратегии и позиционирования продукта
Вам предстоит изучать рынок, выбирать перспективные сегменты блогеров и рекламодателей, находить их потребности и определять, какие задачи должна решать платформа. Важно видеть возможности сервисов Яндекса на блогерском рынке и объединять их в понятное предложение для пользователей.
Доведение продукта от исследования до запуска
Вы будете проводить интервью, проверять гипотезы, оценивать потенциал решений и формировать дорожную карту. Вместе с командой разработки нужно определять объём первых запусков, расставлять приоритеты и отвечать за результат после релиза.
Развитие веб- и мобильной платформы для блогеров
Ваша задача — выстроить путь автора от регистрации и знакомства с инструментами до регулярного использования платформы и заработка. Предстоит находить точки роста, улучшать пользовательские сценарии и развивать инструменты монетизации.
Больше о бэкенде в Яндексе — в канале
Yandex for Backend
Требования
* Развиваете цифровые продукты от 3 лет и самостоятельно отвечали за направление — от поиска возможностей до запуска и оценки результата
* Знаете рынок инфлюенс-маркетинга или работали в AdTech: понимаете потребности рекламодателей, механики монетизации и экономику рекламных продуктов
* Умеете выбирать целевые сегменты, формулировать ценность продукта и превращать стратегию в конкретный план действий
* Разбираетесь в юнит-экономике и можете связать продуктовые решения с выручкой, затратами и прибыльностью
Location: Warsaw, Poland
On behalf of
FinTech Client #3
, SD Solutions is looking for a talented
Squad
Lead.
As a Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Technical Architecture—Lead the technical architecture and system design for core products and services within your domain.
Team Leadership—Guide a multidisciplinary squad of frontend, backend, and data engineers through implementation, delivery, and iteration.
Stakeholder Collaboration—Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions.
Strategic Alignment—Ensure development aligns with business objectives, long-term system health, and team's engineering standards.
Quality—Conduct and lead design reviews, code reviews, and performance optimization efforts.
Culture Building—Drive a culture of technical excellence, ownership, and continuous improvement.
Operational Excellence—Oversee system reliability, monitoring, and incident response within your domain.
Requirements:
4+ years of leadership experience, guiding engineering teams and making architectural decisions
5+ years of software engineering experience, with a strong focus on scalable architecture and system design
Very strong backend expertise: Kotlin/Java preferred stack; .NET acceptable (requires learning curve); Python possible
Proficiency in modern system architecture with large-scale and high performance.
Impact driven—use data to make sure every task moves the needle and utilize your resources to maximize the team's impact.
Team player with strong communication skills and someone who thrives working in a fast-paced environment.
Creative, solution-oriented, and able to maintain a ‘can do’ attitude, with the ability to work efficiently under pressure and uncertainty. Adapt quickly to changing business needs.
Familiarity with microservices architecture and distributed systems.
B.Sc. in Computer Science or equivalent.
Fluent in English.
Preferred Experience:
Experience with software development in Kotlin or Java.
Experience with Front End technologies.
Experience with mobile technologies.
Leading a multidisciplinary team.
Familiarity with microservices architecture and distributed systems.
Solid understanding of AWS or similar cloud platforms.
Expertise in the Spring Framework.
Proficient in both relational (e.g., MySQL) and non-relational databases (e.g., MongoDB).
Familiarity with message queue technologies such as Kafka, SQS, RabbitMQ, or similar.
Experience with AI development tools like Cursor and Claude Code
About the company:
A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Задачи:
— Работа в международной команде над AI-проектом крупного банка в ОАЭ.
Требования:
— Опыт коммерческой разработки от 8 лет.
— Глубокие знания Java, опыт в Backend или FullStack-разработке.
— Для FullStack-разработчиков фронтенд-стек гибкий.
— Обязателен опыт работы в банковской сфере.
— Владение английским языком на уровне Full Professional Proficiency для эффективной работы в международной команде.
— Готовность к командировке в Дубай на 6 месяцев.
Условия:
— Работа над AI-проектом для крупного банка ОАЭ.
— Международная команда.
— Удалённый формат работы вне периода командировки.
— Компания покрывает расходы на проживание и командировочные в Дубае на весь период поездки.
УдалённоseniorДубай; Компания покрывает расходы на проживание в Дубае и командировочные расходы на весь период поездки
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Senior Software Engineer to join
Cloud Signals
, the team behind the systems that measure, bill, and talk to our customers across the dbt platform and, more and more, the combined Fivetran + dbt product.
Cloud Signals owns:
Billing and usage metering:
turning product activity into accurate, auditable usage and billing data, including the integration of Fivetran and dbt billing into one consolidated system.
Vortex, our telemetry and event pipeline:
high-volume event ingestion that feeds the warehouse, product analytics, and downstream systems.
The Notification System:
the shared service that sends transactional and product notifications (email, in-app, Slack) for teams across the platform.
Usage and admin reporting:
giving customers clear visibility into consumption as we move toward consumption-based pricing.
As a Senior engineer you’ll own major features and components of these systems from design to production. You’ll be a go-to technical voice on the team and help shape how we build.
Technologies You’ll Use
Python and TypeScript for backend services and APIs (Rust, Go, or Java experience also welcome)
Relational databases (PostgreSQL) and cloud data warehouses (Snowflake)
Event streaming and messaging systems (Kafka or similar)
AWS (plus exposure to GCP or Azure), Docker, and Kubernetes
Terraform for infrastructure as code
Datadog for observability, alerting, and on-call
Third-party billing and payment platforms, plus internal and public REST APIs
AI coding assistants and agents (e.g., Claude Code) as part of everyday development
What You’ll Do
Design, build, and run features across billing, usage metering, telemetry, and notifications, writing high-quality, well-tested code that holds up in production.
Own technical projects from start to finish: break down requirements, write design docs, estimate and plan the work, and see it through rollout.
Help deliver the Fivetran + dbt billing integration, with a focus on correct usage data, reliable pipelines, and smooth migrations.
Improve Vortex and the Notification System by onboarding new event types and use cases, making them more reliable, and lowering cost.
Work closely with Product, Finance, Data, and partner engineering teams, filling gaps in specs and prototyping to test ideas before you commit.
Take part in on-call, investigate and resolve production issues, contribute to postmortems, and improve alerting and runbooks.
Mentor early-career engineers, give thoughtful, constructive code reviews, and push for good engineering practices on the team.
Skills We’re Looking For
5+ years building and operating production software, with a passion for solving complex engineering problems
Strong experience designing and building backend services and APIs, with attention to correctness, reliability, and data integrity
Experience with distributed systems and event-driven architectures; exposure to streaming or messaging systems (e.g., Kafka) is a plus
Solid knowledge of relational databases and data modeling; experience with a cloud data warehouse such as Snowflake is a plus
Ability to independently lead the design of a feature or service to meet project requirements, and to spot and fix design flaws in existing systems
Hands-on experience with at least one major cloud provider (AWS preferred) and containerization (Docker, Kubernetes)
Familiarity with CI/CD, infrastructure as code (Terraform), and observability tools (Datadog, Grafana, or similar)
Experience with code reviews, testing, and troubleshooting, and with being on-call
Clear written and verbal communication, including writing design docs and working with cross-functional partners
Fluency with AI code assistants and coding agents for building features, fixing bugs, testing, and investigation, and with conversational AI (Claude, ChatGPT, internal chatbots) for researching, writing, and reviewing SDLC artifacts like TDDs, PRDs, postmortems, test plans, and proposals
Bonus Skills
Experience with billing, metering, or usage-based pricing systems (e.g., Metronome, Stripe)
Experience building telemetry or analytics pipelines (e.g., Snowplow, Iceberg)
Experience with notification or messaging platforms (email, in-app, webhooks)
Experience with data processing (ETL/ELT), dbt, or other modern data stack tools
Experience working on SaaS platforms at scale
#LI-IM1
#LI-HYBRID
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: Warsaw, Poland
On behalf of
FinTech Client #3
, SD Solutions is looking for a talented
Senior Full Stack Developer.
As a Frontend Engineer, you will take ownership of a strategic, gamified platform that serves as the primary engagement and social hub for tens of thousands of
NDA, FinTech
associates. You will develop new features for our mobile app, shaping a unique user experience that blends high-stakes business logic with interactive gaming, social networking, and professional training. In this role, you will build the next generation of communication and reward tools that connect our massive user base at the point of sale, directly impacting NDA, FinTech growth, and market exposure.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Develop and maintain the customer-facing native application.
Take ownership of the end-to-end development of new Sunbeast features, from concept to deployment.
Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience.
Write clean, efficient, and maintainable code, adhering to best practices and team standards.
Contribute to a collaborative environment, sharing your expertise and mentoring other team members.
Requirements:
5+ years of frontend/mobile development experience.
Strong production experience with React
2-3 years
of backend development (Java or Kotlin) is an advantage.
Strong production experience with React Native
(a big advantage —including app lifecycle and deployment to stores).
Deep knowledge of JavaScript, TypeScript, and CSS.
Experience publishing/maintaining apps in Google Play and the App Store.
End-to-end ownership mindset—proactive, resourceful, self-motivated
Resourceful, self-motivated, and capable of working independently in a fast-paced environment.
B.Sc. in Computer Science or equivalent.
Fluent in English (daily collaboration with the Israel team).
Preferred Experience:
Experience with React.
Experience with end-to-end testing frameworks like Playwright.
Knowledge of WebSockets.
Prior experience in a fintech company, especially with payment processing or financial services.
Experience with AI development tools like Cursor and Claude Code
About the company:
A fintech company that builds point-of-sale financing and consumer credit products for everyday service businesses. Their solution is deployed at thousands of service locations — including auto service centers, dental offices, optical clinics, and veterinary practices — and is managed through a no-fee mobile credit card.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Chicago, IL or Remote
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