Вакансии

Задачи: — Разработка и поддержка микросервисов на Go. — Проектирование API и межсервисного взаимодействия на gRPC. — Оптимизация производительности и отказоустойчивости систем. — Проектирование схем данных и оптимизация запросов в PostgreSQL и MongoDB. — Развитие стратегий кэширования на Redis. — Участие в код-ревью и архитектурных обсуждениях. Требования: — Коммерческий опыт разработки на Go от 5 лет. — Уверенное знание PostgreSQL, включая индексы, транзакции и анализ планов запросов. — Опыт работы с MongoDB, высоконагруженными системами, микросервисной архитектурой, gRPC и Protocol Buffers. — Опыт работы с Redis и стратегиями кэширования. — Понимание конкурентности в Go: горутины, каналы, пакет sync, context. — Опыт работы с Docker, Git и CI/CD. — Будет плюсом опыт с Kubernetes, Kafka, RabbitMQ, NATS, Prometheus, Grafana, Jaeger, OpenTelemetry и pprof. Условия: — Удалённая работа по России. — Официальное оформление. — ДМС. — Компенсация обучения и конференций. — Работа по Agile/Scrum с двухнедельными спринтами. — Используются Jira и Confluence, код-ревью, unit- и интеграционные тесты, CI/CD и Git Flow / trunk-based разработка.

We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. Key Requirements: — 4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka — Strong knowledge of event-driven and streaming architectures — Experience with Docker, Kubernetes, CI/CD, and JVM performance tuning — SQL/NoSQL databases and distributed systems troubleshooting — Understanding of security best practices and data protection — Banking or fintech experience is a plus. Conditions: — Relocation support — Medical insurance

Кого ищем: — Человека, полностью соответствующего ожиданиям, а не учящегося на ходу. — Рабочие руки, а не технического менеджера. Кто не подойдёт: — Кандидаты с преобладающим или последним опытом в роли технических менеджеров: Team Lead, CTO и т.п. — Кандидаты с преобладающим или последним опытом работы на фрилансе или в аутсорсинг-компаниях. — Кандидаты с преобладающим или последним опытом в роли Frontend / Fullstack-разработчиков. Мы ожидаем: — Опыт от 8 лет в роли Backend-разработчика (не Fullstack). — Опыт работы от 6 лет с Node.js и TypeScript: event loop, streams, memory management. — Опыт работы с контейнеризацией и оркестрацией Kubernetes от 3 лет. — Опыт работы от 2 лет с AWS: EKS, RDS, DynamoDB, S3. — Опыт работы от 1 года с гибридным хранилищем: MySQL, Redis, MongoDB, DynamoDB – каждая БД под свою задачу. — Обязательный опыт использования LLM в работе. Чем предстоит заниматься: — Разработка и развитие backend-сервисов на NestJS. — Проектирование и реализация API и межсервисных взаимодействий. — Деплой и эксплуатация сервисов в Kubernetes. — Работа с асинхронными сценариями (RabbitMQ). — Использование Redis для кэширования и pub/sub. — Работа с базами данных MySQL, MongoDB, DynamoDB. — Работа с облачной инфраструктурой AWS (эксплуатация и развитие backend-сервисов). Условия: — Полностью удалённый формат работы. — Оплачиваемый отпуск 28 календарных дней. — 100% оплата больничного. — Работа в продуктовой IT-компании.

Задачи: — строить и оптимизировать решения для потоковой обработки данных в реальном времени в корпоративной среде. Требования: — 4+ года опыта с Java/Scala, Flink (или Beam/Spark Streaming) и Kafka; — глубокие знания событийно-ориентированных и потоковых архитектур; — опыт работы с Docker, Kubernetes, CI/CD и настройкой производительности JVM; — опыт работы с SQL/NoSQL базами данных и устранением неполадок в распределённых системах; — понимание лучших практик безопасности и защиты данных; — опыт работы в банковской сфере или финтехе будет плюсом. Условия: — работа в офисе в Дубае, ОАЭ; — поддержка релокации; — медицинская страховка.

The project is a social sports gaming platform that offers free-to-play alternatives to traditional real-money sports betting. It allows sports fans to make predictions, compete for leaderboard positions, earn badges, build in-game status, and participate in sweepstakes promotions and loyalty rewards. The platform focuses on creating a fun, engaging, and community-driven sports gaming experience for users with different levels of interest in sports. Technologies: — Python, Django/FastAPI, asyncio — Distributed systems, Microservices, Event-driven architecture — Apache Kafka — Docker, AWS (or other cloud providers) — SQL, PostgreSQL — CI/CD, Test automation — Prometheus, Grafana What You'll Do: — Take full ownership of backend services from design and development through deployment, maintenance, and continuous improvement — Design, develop, and maintain scalable, high-performance distributed backend services using Python and Django — Architect distributed systems to support millions of users with low latency and high availability — Own critical backend infrastructure components, including APIs, data pipelines, message brokers such as Kafka, and caching — Optimize systems for throughput, latency, fault tolerance, and resilience under heavy load — Implement robust testing strategies, including unit, integration, and performance tests — Drive continuous improvement of development processes and system observability, including monitoring and logging — Collaborate with product, frontend, and DevOps teams to ship reliable features on aggressive timelines — Lead and mentor junior engineers through code reviews, architectural discussions, and knowledge sharing Job Requirements: — 5+ years of experience in Python backend development — Solid experience with Django/FastAPI and asynchronous programming using asyncio — Production experience with Apache Kafka — Strong experience with distributed systems, microservices, or similar architecture — Experience deploying and managing containerized applications using Docker — Familiarity with any cloud provider, preferably AWS — Proficiency with SQL databases, especially PostgreSQL — Experience with CI/CD pipelines and test automation — Knowledge of monitoring and logging tools such as Prometheus, Grafana, or equivalent — Strong problem-solving skills and experience with code reviews — Comfortable working in Agile teams — English level: B2 or higher Nice To Have: — Experience with Kubernetes — Experience working with systems supporting 1M+ users — Experience with NoSQL databases — Exposure to event sourcing or CQRS patterns — Familiarity with frontend technologies such as React — Knowledge of big data tools such as Flink or NiFi — Exposure to infrastructure as code tools such as Terraform — Experience in the sports or betting industries

Applied Intuition ищет инженера Forward Deployed Engineer для работы на месте в Саннивейле. В обязанности входит внедрение и интеграция продуктов компании у клиентов, а также решение задач, связанных с программным обеспечением, инфраструктурой, робототехникой и системами. Кандидат должен обладать знаниями и опытом работы с такими технологиями, как Kubernetes, ROS, симуляция, SQLAlchemy, C#, React, Python, Docker, GraphQL, а также навыками работы с инфраструктурой, контейнеризацией, оркестрацией кластеров, API и базами данных. Предлагается зарплата в диапазоне от 130 000 до 158 000 долларов.

Задачи: — Управление программными релизами — Поддержка и развитие CI/CD пайплайнов — Управление жизненным циклом артефактов — Работа с внутренним порталом управления релизами Требования: — null Условия: — Работа в офисе в Саннивейле — Зарплата $90,000 - $115,000 в год Стек технологий: Kubernetes, BuildKite, Kibana, Jenkins, Java, Git, Grafana, Jira, Go, Splunk, React, GitLab CI, GCP, Nexus, Python, Docker, AWS, TypeScript, CI/CD, GitHub Actions

Задачи: — Развитие и поддержка монорепозитория Python-сервисов: публичные API нескольких продуктов, админка, фоновые воркеры, биллинг, интеграции с внешними AI-провайдерами. — Новые функции в сервисах на FastAPI: эндпоинт, схема БД, воркер, тесты. — Интеграции с внешними AI API — OpenAI, ElevenLabs, провайдеры генерации видео и другие: таймауты, повторы, обработка сбоев, учёт стоимости запросов. — Биллинг: списание и возврат кредитов, вебхуки о покупках и подписках (Apphud, App Store), идемпотентная обработка. — Фоновые обработчики на RabbitMQ: очереди задач, повторы, outbox, сверка зависших задач. — Работа с MySQL (схема, индексы, миграции Alembic, оптимизация запросов), Redis (кэш, лимиты запросов), ClickHouse (аналитика и метрики). — Разбор инцидентов по логам и метрикам, исправление багов по обращениям поддержки. — Тесты и код-ревью. Требования: — Коммерческая разработка на Python от 1 года. — Уверенный Python: типизация, dataclasses, контекстные менеджеры, исключения. — Понимание asyncio: event loop, почему блокирующий вызов в асинхронном коде тормозит весь сервис, таймауты и отмена задач. — Опыт с FastAPI или другим асинхронным фреймворком (aiohttp, Starlette, Litestar). — Знание SQL и реляционных БД (MySQL или PostgreSQL): индексы, транзакции. — Опыт с SQLAlchemy 2.x, желательно async, и миграциями Alembic. — Опыт работы с Redis и хотя бы одним брокером сообщений (RabbitMQ, Kafka, Redis Streams). — Навыки работы с Docker и docker-compose. — Опыт написания тестов с pytest. — Владение Git, pull request'ы, код-ревью. — Готовность разбираться в большой существующей кодовой базе и работать по принятой архитектуре. Будет плюсом: — Понимание уровней изоляции транзакций и блокировки в MySQL/PostgreSQL. — Опыт работы с подтверждением и повторной доставкой сообщений в брокере, идемпотентные обработчики, outbox. — Знание FastStream или aio-pika. — Опыт работы с ClickHouse или другими аналитическими БД. — Навыки работы с Kubernetes: деплой, логи, корректная остановка воркеров. — Опыт интеграций с платёжными или подписочными системами (Apphud, RevenueCat, App Store Server API). — Опыт работы с LLM и AI API, обработка медиа через ffmpeg. — Использование mypy и ruff в повседневной работе. — Знание Clean Architecture или DDD на практике. — Опыт работы с Django. Условия: — Конкурентоспособная заработная плата (по результатам собеседования). — Полностью удаленная работа из любого города. — График 5/2. — Возможность напрямую влиять на развитие продукта и видеть результат своего труда. — Современный стек инструментов и все необходимые ресурсы. — Перспективы профессионального и карьерного роста.

Задачи: — разработка на Java с использованием технологий Spring Framework (Cloud, Boot, AOP, Security и др.), Hibernate — применение принципов ООП, SOLID, DRY, KISS — использование стандартных алгоритмов и структур данных — работа с Java 8 - 11 — написание чистого, документированного и тестируемого кода, включая модульные и интеграционные тесты Требования: — опыт работы с Java от 5 лет — уверенные знания современных концепций и принципов разработки на платформе Java — знание и умение применять на практике принципы ООП, SOLID, DRY, KISS — знание стандартных алгоритмов и структур данных — опыт разработки с использованием Spring Framework (Cloud, Boot, AOP, Security и др.), Hibernate — знание и опыт применения Stream, Optional, Collections и др. — опыт работы с тестовыми фреймворками Junit, TestNG, Mokito — опыт работы с реляционными базами данных — знание теоретических основ проектирования баз данных и построения эффективных запросов — опыт работы с Git, Maven — понимание микросервисной архитектуры Будет плюсом: — опыт проектирования высоконагруженных систем — опыт работы с Spring Boot, Spring Cloud — опыт работы с Docker, Kubernetes — опыт работы с TeamCity, Jira, Confluence — умение писать чистый, документированный и тестируемый код и тесты к нему (модульные и интеграционные) Условия: — полная занятость — график 5/2 — удалённый формат работы — зарплата до 200 000 ₽ на руки в месяц

Задачи: — Разработка и поддержка микросервисов на Go — Проектирование API и межсервисного взаимодействия на gRPC — Оптимизация производительности и отказоустойчивости систем под высокой нагрузкой — Проектирование схем данных и оптимизация запросов в PostgreSQL и MongoDB — Внедрение и развитие стратегий кэширования на базе Redis — Участие в код-ревью и архитектурных обсуждениях Требования: — Коммерческий опыт разработки на Go от 5 лет — Уверенное знание PostgreSQL: индексы, транзакции, анализ планов запросов — Опыт работы с MongoDB: моделирование документов, агрегации, индексы — Опыт разработки и поддержки высоконагруженных систем — Понимание микросервисной архитектуры и паттернов взаимодействия сервисов — Опыт работы с gRPC и Protocol Buffers — Опыт работы с Redis и понимание стратегий кэширования (cache-aside, write-through, инвалидация, TTL) — Понимание конкурентности в Go: горутины, каналы, пакет sync, context — Опыт работы с Docker, Git и CI/CD Будет плюсом: — Опыт с Kubernetes — Опыт с брокерами сообщений (Kafka, RabbitMQ, NATS) — Знание инструментов мониторинга и трейсинга (Prometheus, Grafana, Jaeger, OpenTelemetry) — Опыт профилирования Go-приложений (pprof) Условия: — Работа по Agile: Scrum с двухнедельными спринтами, планированием и ретроспективами — Задачи ведутся в Jira, документация в Confluence — Обязательное код-ревью для каждого изменения — Покрытие кода unit- и интеграционными тестами — Использование CI/CD: автоматическая сборка, тестирование и деплой — Придерживание Git Flow / trunk-based разработки — Заработная плата от 200 000 руб. на руках — Формат работы: удалённо — Официальное оформление — ДМС, компенсация обучения и конференций

Задачи: — развивать real-time антибот и антифрод: детектировать ботов и фрод с помощью потоковых эвристик, разрабатывать новые сигналы — развивать обогащение событий: строить операторы обогащения кликстрим-событий (геолокация, категории, атрибуты пользователя, рекламные метрики) — развивать CDC и data ingestion: разрабатывать пайплайны захвата изменений из БД и доставки данных в DWH в формате Apache Paimon — развивать рекламную аналитику: считать CTR impressions, auction withdrawals и маркетинговые конверсии в реальном времени — развивать Flink Platform: управлять Flink Kubernetes Operator, Helm-чартами, деплоями в нескольких дата-центрах и регионах — обеспечивать техническое лидерство команды: задавать архитектурные стандарты и помогать команде расти Требования: — обладаете глубокой экспертизой в Apache Flink или другом фреймворке потоковой обработки данных (Spark Streaming, Kafka Streams) — обладаете опытом руководства командой разработки от 4-х лет — используете системный подход к работе с людьми (мотивация, развитие, адаптация) — работали с высоконагруженными продакшен-системами — умеете декомпозировать задачи и выстраивать технический роадмап — понимаете принципы работы Apache Kafka и распределённых систем — будет плюсом: имеете опыт руководства платформенной командой без продакт-менеджера и системного аналитика

Задачи: — Работа над backend-системой крупного коммерческого банка. — Тестирование: 90% backend, 10% frontend. — Автоматизация тестирования: 70% автоматизированное, 30% ручное. Требования: — Опыт работы в QA от 5 лет. — Опыт автоматизации тестирования на Java от 2 лет. — Опыт тестирования mobile/web-приложений от 2 лет. — Опыт работы с REST API и интеграционным тестированием. — Работа с SQL/NoSQL-базами данных: сложные запросы и выгрузки, JOIN, VIEW. — Опыт покрытия новой функциональности автотестами на Java. — Опыт написания библиотек и инструментов для автоматизации тестирования. — Опыт работы с CI/CD: Jenkins, GitLab CI. — Опыт работы с брокерами сообщений: Kafka, RabbitMQ или аналогами. — Опыт работы с мок-сервисами: WireMock или аналогами. — Знание процессов и методологий разработки ПО. — Опыт работы с микросервисными системами: Spring Cloud, Kubernetes, OpenShift или аналогами. — Опыт развёртывания инфраструктуры. — Опыт работы с системами кеширования: Redis, Hazelcast. Условия: — Удалённая работа по РФ. — Полная занятость. — Зарплата от 250 000 до 300 000 ₽ на руки, в зависимости от опыта и пожеланий кандидата. Инструменты: Docker, Docker Compose, Jenkins, Kubernetes, SOAP UI, Postman, Jira, Confluence, Git, IntelliJ IDEA, Bitbucket.

Задачи: — Писать программный код на языке Java с использованием лучших практик — Определять оптимальные подходы и технологии для реализации текущих задач — Заниматься декомпозицией бизнес требований и постановкой задач участникам команды — Контролировать сроки и качество их выполнения, кросс-ревью — Координировать процессы разработки с командой разработчиков — Проводить техническое ревью постановок от группы анализа и участвовать в оценке трудоемкости Требования: — Коммерческая разработка на Java от 5 лет — Опыт в аналогичной должности не менее 2 лет — Отличное владение Java Core — Практический опыт работы с Spring Framework (с пониманием как работают модули под "катопом") — Опыт работы с сервером приложений (Apache Tomcat, с понимание как устроен и работает) — Понимание концепций работы реляционных БД (PostgreSQL) — Опыт проектирования БД и отличное знание SQL (PostgreSQL) — Практический навык оптимизации SQL запросов — Опыт работы с Apache Kafka — Опыт с Docker и Kubernetes

About Agoda: Agoda is part of Booking Holdings with a diverse team of over 7,000 people worldwide. The company focuses on connecting people to travel destinations and experiences, leveraging data and technology. Team and Role: The Compute Platform team manages the infrastructure of bare metal and virtual machines that support all Agoda products. This includes over one million cores across Kubernetes clusters, OpenStack VMs, and bare metal servers globally. The team develops ACP (Agoda Compute Platform), an in-house orchestration stack for dedicated-resource VMs on bare metal, along with fleet lifecycle tooling and automation. Responsibilities: — Own and evolve the architecture of ACP, including orchestrator, per-host agent, and CLI managing dedicated-resource VMs on bare metal. — Design, build, and operate compute and fleet tooling in Go and Python, interfacing with Kubernetes, OpenStack, and hardware management APIs. — Lead medium to large projects across Fleet, Compute Platform, and adjacent teams from design to operation. — Participate actively in System Design Reviews within and across teams. — Use and promote agentic coding tools (e.g., Claude Code) in design, implementation, testing, and review. — Troubleshoot product and system issues at scale across global data centers. — Interview and mentor engineers, raising hiring standards. — Define and use metrics for ACP reliability, operational load, and delivery quality to guide development. — Collaborate with Software Development, Infrastructure Management, and other teams to gather requirements and design scalable, resilient services. — Write technical documentation and provide training for ACP operation and extension. Requirements: — 10+ years of software engineering experience with strong hands-on background in infrastructure or compute systems (bare metal, virtualization, Kubernetes, OpenStack). — Strong distributed systems development skills in Go; Python is advantageous. — Proven experience owning and evolving distributed systems such as control planes, orchestrators, or agents in production. — Experience with virtualization and bare-metal provisioning at scale. — Practical experience using Kubernetes in production (workloads, APIs, cluster behavior). — Comfortable using agentic coding tools in daily development. — Strong understanding of observability for distributed systems: monitoring, alerting, logging, visualization at scale. — Track record of leading medium to large technical projects and driving architectural decisions. — Experience working across team boundaries and understanding adjacent systems. — Clear written and verbal English skills. Preferred Qualifications: — Hands-on experience with Kubernetes controllers, operators, and CRDs. — Experience contributing to or maintaining open-source Kubernetes Operators/Controllers. — Experience with configuration management and automation tools, preferably Ansible and/or AWX. — Experience with out-of-band hardware management APIs (iLO, DRAC) and building resilient, highly available physical architectures. — Experience with CI/CD and GitOps infrastructure delivery approaches. — Experience working in large, distributed engineering organizations with many stakeholders. Location and Work Format: — Hybrid work format based in Bangkok, Thailand, with relocation support. Additional Information: — Agoda is an equal opportunity employer committed to diversity and inclusion. — Employment is based on merit and qualifications without discrimination. — The company does not accept unsolicited agency submissions and reserves rights regarding speculative CVs.

О компании Agvend — B2B SaaS-платформа для агросектора Северной Америки. Платформа работает 8 лет и охватывает около 30% рынка ag-retail в США и Канаде. В команде примерно 150 человек, около 100 — в R&D. Команда работает полностью удалённо; для желающих доступны офисы в Канаде, США и на Кипре. Стек и инфраструктура: — Backend: Python, Django, DRF, PostgreSQL, ClickHouse, AWS. — Frontend: React, TypeScript. — Архитектура: модульный монолит — 3 крупных приложения и микросервисы-сателлиты. — Инфраструктура: 5 production-кластеров Kubernetes, около 150 тенантов, примерно 5 000 запросов в минуту. — CI/CD: CircleCI, Docker/ECR, Helm, Terraform, blue-green deployments. Задачи: — Разрабатывать функциональность от API до UI, без разделения на backend и frontend. — Отвечать за свою зону: архитектуру, code review и работу в production. — Работать с PostgreSQL и ClickHouse под нагрузкой, мультитенантной архитектурой и миллионами записей. Требования: — От 5 лет коммерческой fullstack-разработки, уровень Senior. — Production-опыт одновременно с Python/Django/DRF и React/TypeScript. — Уверенное владение Python, Django и DRF. — Опыт работы с PostgreSQL под нагрузкой. — От 2 лет работы с React и TypeScript на продуктовом уровне. — Самостоятельность: ведение своей зоны и прямая работа с PM. — Русский язык для основной рабочей коммуникации, английский на рабочем уровне. Будет плюсом: — ClickHouse и другие аналитические базы данных. — Опыт с высоконагруженными системами или в финтехе. — Навыки работы с Kubernetes, Helm, Terraform и CircleCI, включая устранение проблем в пайплайнах. — Опыт с очередями и распределёнными системами: Kafka, RabbitMQ, идемпотентность. Условия: — Команда Senior-инженеров, плоская структура: Engineering Manager и Senior IC, без техлидов. — Безлимитные отпуска. — Нет фиксированных рабочих часов. — Асинхронная коммуникация без ожидания мгновенного ответа. — Оффсайты дважды в год: Кипр и Грузия или Армения. — Бюджет на обучение, конференции и технику. — Коммуникация внутри команды на русском языке. — По данным компании, многие сотрудники работают в команде по 5–6 лет.

Location: Amsterdam Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: €110,000-€185,000 base salary + equity Location: - Netherlands, Amsterdam - Remote with up to 25% travel COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: London Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. WHAT YOU'LL DO: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT YOU'LL BRING: 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: £100,000-£165,000 base salary + equity Location: - UK, London - Remote with up to 25% travel COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote - Singapore Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE: We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture. KEY RESPONSIBILITIES: - Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines - Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations - Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams WHAT WE'RE LOOKING FOR REQUIRED EXPERIENCE 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect, Deployed Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply Infrastructure & Platform: - 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure) - Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments - Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices - Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing - Experience designing high-availability and disaster recovery solutions - Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog) - Experience with CI/CD pipelines for infrastructure and applications Agent Engineering & Development: - 1+ years of experience building production AI/ML applications or agents - Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications - Experience with state management patterns (short-term and long-term memory) - Experience designing and implementing evaluation frameworks for AI applications - Strong prompt engineering skills with experience in optimization and A/B testing - Experience with vector stores, RAG patterns, and knowledge organization - Experience with tool integration, API design, and error handling patterns - Strong Python and/or TypeScript development skills Customer-Facing: - Customer-facing experience with enterprise customers - Experience conducting technical assessments or infrastructure audits - Strong communication skills with ability to explain technical concepts to diverse audiences KEY ATTRIBUTES: - Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions - Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences - Experience working cross-functionally with engineering teams, product teams, and customers - Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation - Ability to balance infrastructure architecture with agent development work - Strong engineering background with hands-on development experience COMPENSATION: $185,000-$260,000 base salary + equity Location: - Singapore - Remote with up to 25% travel COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.