Описание вакансии IT-компания ARTW — один из лидеров крупной веб-разработки и внедрения корпоративных порталов, интеграции комплексных инфраструктурных решений для российского бизнеса в сферах ecommerce, ритейла, производства, телекоммуникаций и нефтегазового сектора.
20 лет на рынке, штат более 150 человек.
Некоторые клиенты: НПФ Открытие, X5 Group, Газпром, О’кей, ЛУКОЙЛ, МТС, Рольф, Ростелеком, Ozon, IBS.
Основные специализации: крупная веб-разработка, разработка и внедрение корпоративных порталов, мобильная разработка, продуктовая аналитика, ux/ui дизайн.
Проекты компании регулярно отмечаются профессиональным сообществом, в том числе наградами конкурсов Tagline Awards, Рейтинг Рунета, Золотой Сайт и других.
Требования:
- IaC: Terraform, Ansible
- Cloud: Cloud ru
- Container orchestration: Kubernetes, Helm
- CI/CD: GitLab CI/CD, GitLab Runner
- Secrets: HashiCorp Vault
- IAM: Keycloak
- Service Mesh: Istio
- Metrics: Prometheus
- Visualization: Grafana
- Logs: Loki, Grafana Alloy
- DNS / Security: DNS, TLS, CA/PKI
- AI Observability: Langfuse
- Policy as Code: OPA, OPAL
- OS / Automation: Linux, Bash/Python
Что предлагаем:
- Работу в аккредитованной IT-компании
- Есть возможность работать полностью удаленно или в офисе
- Индивидуальный план развития — мы готовы обучать своих сотрудников и расти вместе!
Процесс собеседования:
- Интервью с рекрутером ARTW (10-15 минут)
- Интервью с руководителем отдела и HR (1 час)
- Оффер
Проект:
Внедрение интеллектуальных модулей на базе ИИ в платформу для автоматизации рутинных операций и повышения скорости процессов.
Задачи:
— Разрабатывать backend-сервисы на Python 3.10+ / FastAPI в рамках ИИ-платформы.
— Проектировать и поддерживать микросервисную и event-driven архитектуру.
— Интегрировать ИИ-компоненты платформы (работа с LLM, эмбеддерами, векторными БД).
— Работать с данными и брокерами: SQL/NoSQL, OpenSearch, Redis, S3, Kafka.
— Настраивать и поддерживать инфраструктуру: CI/CD, Docker, мониторинг и логирование.
— Обеспечивать безопасность: выстраивать процессы аутентификации и авторизации (Keycloak, OAuth2).
— Работать с существующим кодом в крупных репозиториях: читать, понимать, модифицировать и оптимизировать.
Требования:
— Опыт от 3 лет коммерческой разработки на Python.
— Отличное знание Python 3.10+ и FastAPI (глубокое понимание async, middleware, DI).
— Понимание микросервисной архитектуры, требований к журналированию, аудиту и мониторингу.
— Уверенная работа с SQL и NoSQL (написание сложных запросов, работа с индексами, оптимизация, ORM/ODM).
— Опыт работы с Kafka (producer/consumer), Redis, S3.
— Опыт с Docker / Docker Compose, настройка CI/CD, Prometheus + Grafana, ELK-стек.
— Понимание принципов работы JWT, OAuth2/OIDC, опыт интеграции с Keycloak.
— Умение читать и модифицировать чужой код в крупных репозиториях.
— Высшее образование (ИТ, технические науки или математика).
Будет большим плюсом:
— Опыт реализации event-driven архитектуры.
— Опыт работы с векторными базами данных (OpenSearch) и векторизацией данных с помощью эмбеддеров.
— Опыт интеграции с vLLM для LLM-инференса.
— Активное и эффективное использование AI-ассистентов (Cursor и аналоги) для ускорения процесса написания и рефакторинга кода.
Задачи:
— Работа с AWS инфраструктурой, включая VPC, IAM, EKS, RDS.
— Управление Kubernetes платформой (EKS) с использованием Karpenter, Cilium, Istio.
— Автоматизация процессов с помощью инфраструктуры как кода (Terraform, Terramate) и GitOps (ArgoCD, Atlantis).
— Поддержка CI/CD процессов.
— Обеспечение наблюдаемости с использованием Grafana, Loki, Tempo, Prometheus.
— Участие в on-call ротации и решение инцидентов в продакшене.
— Разработка внутренних инструментов на Go для автоматизации повторяющихся задач.
Требования:
— Несколько лет опыта эксплуатации production-систем на AWS и Kubernetes с реальной ответственностью on-call.
— Глубокие знания AWS (VPC, IAM, EKS, RDS).
— Практический опыт с Terraform и GitOps-подходом (ArgoCD, Atlantis, Flux или аналогичные).
— Умение писать код, опыт или готовность изучать Go.
— Сильные навыки расследования, отладки и решения проблем.
— Быстрое обучение и адаптация к новым технологиям.
— Свободное владение английским языком для коммуникации с командами инженерии, продукта и безопасности.
Условия:
— Удалённая, офисная или гибридная работа (Лимассол, Кипр).
— Гибкий график работы.
— Конкурентная зарплата и пакет опционов.
— Оборудование для комфортной и продуктивной работы.
— Премиум подписка SIMPLE.
— 21 день оплачиваемого отпуска плюс праздничные дни.
— Фокус на результатах, а не на времени за столом.
ГибридseniorLimassol; We're flexible on some locations as long as your working hours overlap with European time zones Perks and Benefits: Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
— Разработка и поддержка backend-сервисов в микросервисной архитектуре для системы защиты от мошенничества
— Обработка транзакций в реальном времени
— Ответственность за производительность, мониторинг и разбор инцидентов
— Работа с инженерами, продактами и дизайнерами
Требования:
— 3+ года коммерческой разработки
— Сильный Golang или Java
— Опыт с микросервисной архитектурой
— Практика с Docker и Kubernetes
— Английский на рабочем уровне
— Плюсом: опыт с облаками, CI/CD, Redis, Cassandra, PostgreSQL, Prometheus, Grafana, Datadog
Задачи:
— Разработка и поддержка сценариев нагрузочного тестирования в JMeter
— Проведение нагрузочного тестирования информационных систем и сервисов
— Подготовка и настройка профилей нагрузки
— Проведение тестов на поиск максимальной производительности системы
— Анализ результатов нагрузочных тестов и основных показателей производительности
— Работа с системами мониторинга и анализ полученных метрик
— Выполнение SQL-запросов для подготовки тестовых данных и анализа работы БД
— Работа в Linux-среде, использование команд и скриптов для проведения и анализа тестов
— Участие в поиске причин снижения производительности приложений и сервисов
Требования:
— Опыт работы в нагрузочном тестировании от 6 месяцев
— Практический опыт работы с Apache JMeter
— Понимание основных компонентов JMeter и принципов их применения
— Опыт работы с различными Thread Group в JMeter
— Знание и понимание параметризации и корреляции в нагрузочных сценариях
— Опыт использования Assertions
— Понимание принципов формирования нагрузки и настройки pacing
— Понимание основных метрик нагрузочного тестирования, в том числе percentile, response time, throughput, RPS/TPS
— Понимание методики проведения тестов на поиск максимальной производительности
— Базовое знание SQL, умение писать запросы, в том числе с использованием JOIN
— Базовое понимание принципов работы Apache Kafka
— Навыки работы с Linux, знание основных команд
— Навык написания и использования скриптов
Будет преимуществом:
— Опыт работы с Grafana: анализ метрик, работа с дашбордами и мониторингом
— Опыт самостоятельной настройки или использования систем мониторинга
— Опыт анализа производительности приложений, баз данных и инфраструктуры
Условия:
— Удаленная работа в аккредитованной IT-компании (локация - любой город РФ)
— Заработная плата 80-100 тыс. рублей на руки (по итогам собеседования)
— Доброжелательная и высокопрофессиональная команда
— Возможность роста и развития
— Внутренние программы и активности: корпоративы, встречи онлайн и офлайн, реферальная программа
— Длительные, интересные и разнообразные проекты
— Современный стек
— Гибкий график работы (в зависимости от проекта)
— Выдаем ноутбук на время работы или обеспечиваем беспроцентную рассрочку на покупку личного ноутбука, который после погашения рассрочки остается у сотрудника
— Компания обеспечивает доплату до оклада по больничному листу (до 10 дней по официальному больничному в течение календарного года) и компенсирует 3 дня больничных без предоставления справки о больничном
— Оплачиваемый отпуск 28 календарных дней в год
Location: All Cities
Workplace: Remote
For one of our client, we are looking for a for a Senior QA Automation Engineer to join their Lottery Management Services team.
In this role, you'll help ensure the quality, reliability, and scalability of applications that power lottery operations for their customers around the world. Working alongside Software Engineers, Product Owners, DevOps Engineers, Architects, and fellow QA professionals, you'll design and maintain robust automated test solutions, expand UI and API coverage, investigate failures, and continuously improve automation architecture and quality engineering practices.
WHAT YOU WILL DO:
- Analyze business requirements, user stories, and technical specifications to define automation scope and test coverage
- Design, build, refactor, and maintain scalable Java-based automation frameworks for UI and API testing
- Develop reliable automated tests using Selenide or Selenium WebDriver, TestNG, Maven, and reusable design patterns
- Implement API automation for REST services using RestAssured or equivalent libraries and supporting tools such as Postman
- Create and maintain end-to-end automated coverage for complex business workflows and integrations
- Integrate automated tests into Jenkins and Git-based CI/CD pipelines and improve the speed and quality of test feedback
- Analyze automated test failures, identify root causes, and improve synchronization, diagnostics, logging, and reporting
- Review automation code, promote maintainable engineering practices, and support framework modernization
- Collaborate with Product Owners, Developers, DevOps, Architects, and QA colleagues to build quality into delivery
- Participate in Agile ceremonies including sprint planning, refinement, estimation, and retrospectives
- Provide clear and timely updates on automation progress, product risks, test results, and quality metrics
QUALIFICATIONS, SKILLS AND EXPERIENCE:
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience
- 5+ years of professional software quality assurance experience, with substantial hands-on test automation responsibility
- Strong Java programming skills and experience designing, extending, or significantly improving test automation frameworks
- Strong UI automation experience with Selenide or Selenium WebDriver
- Strong API testing and API automation experience with REST services and RestAssured or an equivalent solution
- Hands-on experience with TestNG, Maven, Git, and Jenkins or a comparable CI/CD platform
- Practical understanding of reusable components, layered test architecture, Page Object patterns, and test orchestration
- Experience diagnosing automated test failures across application and integration layers
- Experience working within Agile/Scrum teams and contributing to planning, refinement, and technical discussions
- Excellent verbal and written communication skills in English
NICE TO HAVE:
- Experience with automation of mobile app projects.
- Experience with mobile testing, image recognition, OCR, or HTML5 Canvas-based application automation
- Experience with Playwright or Python-based automation
- Experience with observability and reporting tools such as Grafana, Kibana, InfluxDB, or Splunk
- Experience with test management and collaboration tools such as QMetry, Jira, and Confluence
- Knowledge of MongoDB, MySQL, or other relational or NoSQL databases
- Experience mentoring colleagues, reviewing automation code, or supporting framework modernization
- Experience in regulated or high-transaction industries such as gaming, lottery, financial services, or e-commerce
WHAT THEY OFFER:
- A truly collaborative and supportive working environment
- Office space with on-site parking
- Private health insurance
- Learning and development budget
- Profit sharing – every role plays a part in our success
- Budget for sports activities
- Team-building and social activities
- Employee referral bonuses
- Hybrid work environment
- Additional perk holidays
Задачи:
— Владение и развитие облачной платформы, используемой командами продукта и инженерии Webflow, включая вычислительный слой, кластер EKS, бессерверную инфраструктуру, сетевые решения и облачные операции в AWS и GCP.
— Проектирование и поддержка инфраструктуры как кода, развитие шаблонов и общих компонентов для других команд.
— Проектирование и поддержка сетевого слоя, обеспечивающего надежность, безопасность и масштабируемость в облачных средах.
— Улучшение системы наблюдаемости, включая дашборды, оповещения и SLO, чтобы проблемы выявлялись до того, как их заметят пользователи, и чтобы оповещения были полезными.
— Создание и поддержка автоматизации на базе ИИ для управления облачной инфраструктурой, включая политику как код, обнаружение отклонений и генерацию инструкций с помощью LLM.
— Участие в формировании культуры растущей международной команды.
Требования:
— Опыт работы инженером инфраструктуры, инженером надежности сайта или облачным инженером с энтузиазмом к автоматизации и коду, либо опыт разработчика с глубоким интересом к облачной инфраструктуре и распределённым системам.
— Более 5 лет опыта владения и эксплуатации облачной инфраструктуры в условиях минимального времени простоя.
— Глубокий практический опыт работы с AWS и понимание лучших практик облачных операций.
— Опыт управления кластерами Kubernetes в масштабе, включая обновления, управление группами узлов, автоскейлинг и жизненный цикл дополнений к кластеру.
— Опыт работы с инструментами инфраструктуры как кода, такими как Pulumi или Terraform, с предпочтением изменений через код, а не через консоли.
— Опыт работы в мульти-региональных или мульти-облачных средах на AWS или GCP.
— Готовность к обучению и развитию, активное применение ИИ и новых технологий для повышения эффективности работы.
Преимущества:
— Опыт с Karpenter, cluster autoscaler или другими инструментами масштабирования Kubernetes.
— Опыт работы с OpenTelemetry, Datadog, Prometheus или Grafana.
— Опыт создания инструментов инфраструктуры с поддержкой ИИ, включая оптимизацию затрат, обнаружение аномалий или политику как код с помощью LLM.
— Опыт работы с мульти-региональной архитектурой, включая требования к локализации данных, резервированию и маршрутизации с учётом задержек.
Условия:
— Удалённая работа с приоритетом на Аргентину.
— Постоянная, полная занятость, не контрактная позиция.
— Акционерное участие (RSU) в компании.
— Медицинское, стоматологическое и офтальмологическое страхование с покрытием премий компанией.
— 12 недель оплачиваемого отпуска по уходу за ребёнком для всех родителей и дополнительные 6+ недель для рожающих родителей.
— Гибкий отпуск, оплачиваемые праздники и программа саббатикала.
— Доступ к ресурсам для психического здоровья, терапии и коучинга.
— Пенсионные планы с 100% соответствием взносов работодателя в США и поддержка пенсионных накоплений по всему миру.
— Ежемесячные выплаты на поддержку работы и здоровья.
— Ежегодная бонусная программа для постоянных сотрудников.
— Равные возможности и инклюзивная культура.
Контакт для отклика отсутствует.
Задачи:
— Автоматизация тест-кейсов
— Сопровождение и поддержка существующих автотестов в актуальном состоянии
— Запуск автотестов и анализ отчетов
— Модернизация и оптимизация фреймворка автоматизации тестирования
— Работа с документацией (Confluence, Swagger, ТестОпс)
Требования:
— Коммерческий опыт автоматизации тестирования веб-приложений (SOAP, REST) на языке Python от 1 года
— Знание теории и методик тестирования ПО
— Знание и применение ООП и основных паттернов проектирования в автоматизации тестирования
— Знание HTTP, REST, SOAP и клиент-серверной архитектуры, микросервисной архитектуры
— Знание SQL (на уровне join)
— Опыт разработки автотестов (pytest + requests + allure)
— Опыт работы с Git
— Опыт использования CI/CD GitLab
— Опыт работы с брокерами сообщений Kafka, ActiveMQ
— Опыт работы с системами логирования Kibana, Grafana
Плюсом будет:
— Опыт работы Docker, K8s
— Работа с 1C
Условия:
— Официальное трудоустройство в аккредитованную IT-компанию
— ДМС
— Удаленный формат работы (предоставляем технику, если нужно)
— Возможности обучения и развития за счет компании
— Можно работать из офиса в СПБ с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше
Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia
We are looking for a
Senior DevOps / Platform Engineer
to develop and operate GoMining's cloud platform.
The primary focus of this role is
GCP and Kubernetes
, infrastructure and application delivery automation, and the reliability and security of production services.
You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently.
Responsibilities
Develop and operate infrastructure in
GCP
, including GKE, virtual machines, networking, load balancers, storage, and managed services.
Manage Infrastructure as Code with
Terraform
: develop modules, manage state and dependencies, ensure reproducible changes, and identify configuration drift.
Operate
Kubernetes
: upgrade clusters and platform components, configure autoscaling, workload placement, network policies, and resource allocation.
Develop
CI/CD and GitOps
using GitLab CI and Flux / Argo CD, automating builds, checks, deployments, controlled releases, and rollbacks.
Build observability across metrics, logs, distributed tracing, and actionable alerting. Define and improve
SLIs/SLOs
together with engineering teams.
Troubleshoot production incidents and performance issues, conduct root cause analysis, and eliminate recurring failure patterns.
Implement least-privilege access, environment and service isolation, secure secrets management and rotation, and infrastructure audit controls.
Maintain backup processes and regularly validate recovery of critical data and infrastructure according to agreed
RPO/RTO
.
Help engineering teams prepare services for production, including health checks, resource configuration, telemetry, and deployment procedures.
Optimize cloud infrastructure usage and costs while maintaining reliability requirements.
Maintain infrastructure documentation, operational runbooks, and recovery procedures.
Requirements
Strong hands-on experience independently operating
production infrastructure and Kubernetes
, including upgrades, troubleshooting, and disaster recovery.
Strong experience with
GCP
, including GKE, Compute Engine, VPC, IAM, and Cloud Storage; good understanding of Cloud SQL, Cloud Logging, and Cloud Monitoring.
Hands-on experience with
Terraform
, including modules, remote state, locking, importing existing resources, and safely applying infrastructure changes through CI.
Deep knowledge of
Kubernetes and containerization
: Deployments, StatefulSets, Services, Ingress, storage, requests/limits, probes, autoscaling, RBAC, and NetworkPolicy.
Experience with
Helm and Kustomize
.
Strong Linux administration skills, preferably Debian/Ubuntu: processes, systemd, filesystems, disks, and resource troubleshooting.
Strong networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, routing, NAT, load balancing, and firewalls.
Ability to troubleshoot connectivity issues across applications, Kubernetes clusters, networks, and cloud services.
Experience building CI/CD pipelines, preferably with
GitLab CI
, and strong understanding of Git and GitOps principles.
Understanding of runner permissions, secrets protection, and production deployment controls.
Automation skills with
Bash and Python
, including maintainable infrastructure scripts and API integrations.
Experience with monitoring, logging, and alerting using tools such as
Prometheus, Grafana, or Cloud Monitoring
.
Practical experience operating
PostgreSQL
and understanding Redis and RabbitMQ, including availability, connections, replication or clustering, backup, and recovery.
Strong understanding of cloud security principles: least privilege, service accounts, Workload Identity, secrets management, network segmentation, and access auditing.
Ability to independently deliver infrastructure changes to a validated production result, explain technical trade-offs, and collaborate effectively with Engineering and Security teams.
Nice to Have
Experience with
Flux CD, Argo CD, Ansible, and HashiCorp Vault
.
Experience with
OpenTelemetry
and distributed tracing.
Experience migrating infrastructure between clouds or Kubernetes clusters, including database migrations with limited downtime.
Experience designing disaster recovery strategies and conducting recovery exercises.
Cloud cost optimization and capacity planning experience.
Experience with
DigitalOcean, Hetzner, or AWS
.
Ability to read and troubleshoot JavaScript / TypeScript applications.
Experience operating financial or payment services with strict requirements around access control, auditing, reliability, and data integrity.
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company apartments in Cyprus).
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it.
You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services.
Responsibilities
Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office
Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically
Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace
Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain
Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans
Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person
Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land
Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers
Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards
Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap
You May Be a Good Fit If You:
Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on
Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting
Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability
Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them
Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure
Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly
Have defined engineering practices for a team, especially one where most contributors aren't developers
Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built
Thrive in a fast-moving environment where standards are being written rather than inherited
Strong Candidates May Also Have Experience With:
Q-SYS Lua scripting and plugin development
Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK
Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code
Jira, Slack, and PagerDuty APIs and automation
Crestron, Extron, or other control system programming
Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS
Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations
Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment
Q-SYS Level 2, CTS, or equivalent demonstrated capability
Role Specific Location Policy:
This role will be based in our San Francisco or New York City office
This role is expected to be in office 50% of the time
Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing
Business-hours escalation coverage for the tools and platforms this role owns
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Poland; Czech Republic; Slovenia; Bulgaria; Latvia; Spain; Ukraine; Lithuania; Greece; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Slovakia
Workplace: Remote
Location: Remote, Europe Time Zone
Start Date: ASAP
Employment Type: Full-Time
Team: Core Compute & Distributed Systems
Language: English
ABOUT THE ROLE
We are looking for an experienced Engineering Manager to lead a team building the distributed systems that power a decentralized compute and storage platform.
You will lead a team of senior engineers working on P2P networking, distributed storage, compute orchestration, and core platform services. You’ll combine people leadership with strong technical ownership, helping shape architecture, guide execution, and stay hands-on with critical systems and production code.
This is a great opportunity for a technical engineering leader who enjoys working close to complex distributed systems, making pragmatic architectural decisions, and building a strong engineering culture in an async, writing-first environment.
WHAT YOU’LL DO
- Lead, mentor, and grow a high-performing team of distributed systems and backend engineers
- Drive the technical direction and execution of core P2P, compute, and distributed platform systems
- Stay hands-on with architecture, design, implementation, and technical problem-solving
- Guide the development of high-throughput distributed protocols, including peer discovery, communication, replication, and data distribution
- Oversee systems responsible for compute orchestration, provisioning, scaling, and workload distribution
- Champion reliability, resilience, observability, and production readiness across the platform
- Establish strong engineering practices around testing, CI/CD, releases, incident response, and root-cause analysis
- Work closely with Infrastructure, Product, Security, and Platform teams on roadmaps, priorities, and cross-team dependencies
- Run effective 1:1s, retrospectives, performance reviews, and career development conversations
- Translate technical and business priorities into clear execution plans and measurable outcomes
- Foster a culture of ownership, technical excellence, pragmatic decision-making, and continuous improvement
WHAT WE’RE LOOKING FOR
- 7+ years of software engineering experience, with 3+ years in an Engineering Manager or technical leadership role
- Proven experience leading teams building and shipping distributed systems or infrastructure software to production
- Strong understanding of P2P and distributed systems, such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed systems
- Strong backend and systems programming experience, ideally with Go, or alternatively C/C++ or Rust
- Solid understanding of concurrency, networking, distributed communication, and fault-tolerant system design
- Experience with compute orchestration, distributed storage, distributed databases, or platform infrastructure
- Familiarity with technologies such as libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure
- Experience with observability and production operations, including tools such as Prometheus, Grafana, OpenTelemetry, or distributed tracing
- Strong understanding of Linux systems and networking fundamentals
- Experience establishing engineering standards around automated testing, CI/CD, release processes, and incident management
- Strong technical judgment and the ability to balance hands-on engineering, people leadership, and strategic decision-making
- Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment
NICE TO HAVE
- Experience with distributed storage, object storage, distributed filesystems, or data integrity systems
- Knowledge of S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines
- Experience with erasure coding, sharding, garbage collection, or large-scale data migration
- Experience managing multi-cloud, bare-metal, or geographically distributed infrastructure
- Familiarity with GPU infrastructure, distributed AI compute, model serving, or inference routing
- Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools
- Experience working with decentralized, blockchain, Web3, or other P2P architectures
WHY THIS ROLE MATTERS
- Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage
- Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work
- Stay hands-on: Continue solving complex technical problems while growing as an engineering leader
- Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale
- Influence architecture: Make meaningful technical decisions rather than simply managing delivery
- Work across the platform: Collaborate with Infrastructure, Security, Product, and Backend teams
- Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture
HOW WE WORK
We favor clear written communication, focused deep work, and pragmatic engineering over unnecessary meetings and synchronization.
Our engineering culture emphasizes:
- RFCs and well-documented technical decisions
- High automated test coverage and rigorous production validation
- Pragmatic, maintainable code
- Strong observability and operational ownership
- Regular production releases
- Continuous improvement through retrospectives and post-incident reviews
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination or harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
About estaie: estaie is the first global infrastructure for extended stays of 15 to 365 days, connecting hotels, holiday homes, channel managers, PMSs, payment providers and other travel systems through intelligent inventory, pricing, search and distribution infrastructure. They operate globally with hubs in Dubai and Riyadh. Their AI layer powers dynamic pricing, agentic lead generation, smart inventory orchestration and autonomous operations.
The role:
You will build and lead the Forward Deployed Engineering (FDE) team responsible for connecting estaie to the hospitality ecosystem and making integrations work in production. You own team operations, delivery, and quality standards. You are a hands-on engineer, coding in TypeScript, Python, and SQL, reviewing PRs, debugging production issues, and leading by example. You partner with the CTO on architecture and technical strategy and collaborate with product, sales, and partnerships.
Tasks:
— Lead the FDE team: hire, onboard, grow a remote team, set expectations for ownership, quality, and pace
— Manage delivery across multiple partner integrations: prioritise, unblock, keep commitments realistic
— Coach engineers on integration design, debugging, clean code, and partner collaboration
— Conduct 1:1s, provide feedback, build culture of accountability, async collaboration, and written decisions
— Stay hands-on: write production code in TypeScript, Python, SQL; own integrations end to end
— Review PRs, set standards for testing, observability, documentation
— Participate in partner debugging sessions, production incidents, lead post-mortems
— Own the integration platform: design integration patterns (authentication including OAuth 2.0 token refresh, signed webhooks, retries, rate limiting, idempotency, error handling)
— Own canonical data model normalising inventory, rates, availability from partners
— Ensure no overselling: concurrency control, handling out-of-order/late events, reconciliation jobs
— Build shared tooling: mock partner servers, contract tests, onboarding tools, dead-letter queues
— Lead AI production use: LLMs and agents for data mapping, operational copilots, automation
— Set AI guardrails: structured output with schema validation, human review, eval sets, least-privilege access
— Control AI cost and latency with queues, rate limiters, caching, model routing
— Own uptime, security, performance of integration layer across regions/environments
— Act as senior technical contact for key partners, channel managers, PMSs, payment providers
— Feed field learnings back into product and platform priorities
Requirements:
— 8 to 12 years software engineering experience, including 3+ years leading engineers in high-growth startup, SaaS or platform company
— Strong hands-on skills in TypeScript (Node.js / NestJS, React / Next.js), SQL, PostgreSQL, and Python
— Experience building and running third-party integrations in production: webhooks with signature checks, idempotency, retries, rate limits, data sync/reconciliation
— Solid grounding in distributed systems: transactions, concurrency, queues, event-driven design, out-of-order events, fault tolerance
— Production experience with LLMs: evaluation, constraints, cost control
— Cloud deployment experience with Docker and CI/CD, ideally on GCP
— Experience leading remote, distributed teams with async, written culture
— Comfortable running technical calls with external engineering teams and turning them into plans
— Bias for action, debugging, documenting, automating, measuring, focus on working products
Nice to have:
— Hospitality, travel, fintech, marketplace or other integration-heavy background
— Hands-on experience with channel managers, PMSs, OTAs, reservation systems, payment gateways
— Experience building or leading forward deployed, solutions or integrations engineering teams
— Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform
— Experience in GCC markets, Arabic language skills
First 90 days plan:
— First 30 days: learn platform and live integrations, ship first production change, meet key partners
— By 60 days: own at least one integration end to end, agree shared integration standards with team
— By 90 days: have FDE hiring plan running, delivery rhythm trusted by team and partners, clear reliability metrics
Conditions:
— Fully remote (MENA time zone alignment required)
— After one year, relocation assistance to Dubai or Riyadh for the right candidate
Tech stack:
— Frontend: Next.js, React, TypeScript, TailwindCSS, Laravel, Vue.js
— Backend: Node.js / NestJS, Python (FastAPI), REST APIs, webhooks
— Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream
— Async and events: BullMQ, Pub/Sub, Kafka / Redpanda
— AI: Vertex AI (Gemini, Claude), LangChain, embeddings, vector search, agentic workflows
— Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions
— Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT
— Observability: Cloud Logging, Prometheus, Grafana, alerting, anomaly detection
— Integrations: channel managers, PMSs, OTAs, supplier APIs, payment gateways (Stripe, Tamara, Checkout.com), WhatsApp Business API, Twilio
Задачи:
— Участие в государственных проектах федерального уровня в роли разработчика/администратора баз данных Postgres
— Приобретение практических навыков оформления и управления задачами в Jira
— Работа с серверами под управлением ОС Linux
— Мониторинг и анализ нагрузки на сервера средствами Zabbix и Grafana
— Автоматизация БД-процессов
— Администрирование СУБД PostgresPro
— Разработка и оптимизация бизнес-логики в СУБД PostgresPro
— Ведение скриптов в системе версионирования Git
— Участие в разработке и эксплуатации заказных информационных систем
— Разработка БД-функционала
— Оптимизация выполнения SQL-запросов
— Организация переноса изменений по БД между различными стендами
— Развитие подсистем мониторинга БД-процессов
— Написание документации, наполнение и актуализация базы знаний
Требования:
— Высшее IT-образование или последний курс по специальностям «Информационные технологии» или «Прикладная математика и информатика» или другой IT профиль с предметами по программированию баз данных
— Теоретические знания SQL/Postgresql и готовность ответить на вопросы по данному направлению
— Готовность к трудоустройству на полную 40-часовую рабочую неделю
— Готовность посещать офис 5 дней в неделю
Задачи:
— Исследовать большие объемы данных о покупательском поведении и находить закономерности для решения бизнес-задач
— Разрабатывать и улучшать ML-модели для прогнозирования оттока и отклика пользователей
— Решать задачи uplift-моделирования и выбора оптимального воздействия на пользователя
— Подбирать персональные товары, категории, скидки, пороги и механики промо
— Генерировать и проверять гипотезы, участвовать в подготовке и анализе A/B-тестов
— Оценивать качество моделей не только по ML-метрикам, но и по влиянию на бизнес-показатели
— Участвовать в развитии внутренних ML-инструментов и фреймворков команды
— Участвовать в подготовке моделей к промышленному запуску и их дальнейшем развитии
Требования:
— Учишься на старших курсах бакалавриата, в магистратуре или недавно окончил техническую специальность
— Хорошо знаешь Python и умеешь писать понятный и структурированный код
— Знаешь основы машинного обучения и понимаешь принципы работы классических ML-алгоритмов
— Умеешь работать с данными и знаешь SQL
— Понимаешь основы математической статистики, теории вероятностей и проверки статистических гипотез
— Понимаешь принципы проведения A/B-тестов и оценки результатов экспериментов
— Умеешь самостоятельно разбираться в новой задаче, формулировать гипотезы и проверять их на данных
— Интересуешься применением машинного обучения для решения реальных бизнес-задач
Будет плюсом:
— Знаком с PySpark и понимаешь основные принципы распределенной обработки данных
— Работал с PyTorch или другими библиотеками для глубокого обучения
— Знаком с uplift-моделированием, рекомендательными системами или задачами персонализации
— Имеешь опыт участия в ML-проектах, соревнованиях, исследовательских или учебных проектах
— Знаком с Airflow, Docker, Kubernetes, Grafana, MLflow
— Имеешь представление о жизненном цикле ML-модели и процессе вывода моделей в промышленную эксплуатацию
Условия:
— Полная занятость
— График: 5/2
— Формат работы: удалённо
About the Project
The platform supports medical voice services and workflow automation for healthcare systems in the US. The role focuses on production reliability: monitoring, incident response, SLOs, deployment safety, recovery, and uptime evidence.
MUST HAVE
— Strong production experience in SRE / DevOps / Backend Operations
— Hands-on experience with monitoring, logging, alerting, and tracing
— Real experience with Incident Response / Incident Management
— Clear responsibility for uptime, SLA / SLO / service reliability
— Experience defining or working with SLOs and production dashboards
— Strong cloud infrastructure background
— Experience with containers and deployment automation
— Experience with Infrastructure as Code (IaC)
— Strong CI/CD knowledge
— Python or comparable scripting skills for operational troubleshooting and automation
— Experience diagnosing and resolving production failures
— Understanding of backup, recovery, and capacity testing
— Ability to communicate clearly during incidents and provide concise written updates
Responsibilities
— Define service-level objectives for production services
— Build and maintain useful reliability dashboards
— Instrument metrics, logs, and traces
— Monitor workflow, voice, and third-party service dependencies
— Lead incident response during agreed coverage hours
— Write clear post-incident reviews
— Improve deployment safety with rollback and staged releases
— Maintain change records and release processes
— Test capacity, backups, and disaster recovery
— Coordinate handover and escalation with engineering teams
— Provide accurate uptime and reliability evidence
— Support continuous improvement of platform resilience
Strong Advantage
— Healthcare or another regulated production environment
— WebRTC / real-time media / voice infrastructure
— LLM-backed services
— Experience handling third-party provider outages
— Grafana / Prometheus / Datadog or similar observability tools
— Experience with customer-facing incident communication
Working Hours - Important
The team works with US-based stakeholders, and calls are expected during Arizona time (MST, UTC-7). Candidates should be comfortable with the possibility of regular communication and incident-related coverage during US / Arizona business hours.
What We Offer
— Small-company feel within a fast-growing international environment
— Friendly, collaborative, and mission-driven team
— 25 calendar days of vacation + 5 additional paid sick days
— Medical insurance
— Corporate English courses
— Corporate events and team-building activities
— Support with professional certifications
— Reimbursement for professional courses and training
— Long-term international projects
— Opportunities for professional and technical growth
Требования:
— Опыт администрирования PostgreSQL от 3 лет
— Знание UNIX-подобных систем на уровне администратора
— Навыки написания и поддержки скриптов на Shell, Python, Ansible
Будет преимуществом:
— Опыт работы со стеком Atlassian: Jira, Bitbucket, Confluence
— Опыт работы с инструментами автоматизации и управления конфигурациями: Ansible, Jenkins и др.
— Опыт работы с инструментами мониторинга информационных систем: Grafana, Zabbix и др.
Задачи:
— Сопровождение серверов и СУБД PostgreSQL
— Написание и поддержка скриптов Shell, Python, Ansible
— Развертывание, конфигурирование, администрирование и обновление промышленных информационных систем
— Настройка резервного копирования и восстановление информационных систем
— Устранение инцидентов, связанных с доступностью и производительностью систем
— Анализ производительности СУБД и оптимизация структуры
— Настройка мониторинга СУБД
— Автоматизация рутинных административных операций
— Взаимодействие с разработчиками и тестировщиками в рамках командной работы
Условия:
— Полный рабочий день
— Удалённый формат работы
— Оформление только как ИП
— Сфера проекта: банковская
About Utorg:
Founded in 2019, Utorg builds infrastructure for stablecoin payments including on- and off-ramps, self-custodial wallets, and crypto cards. The platform serves over 2 million users in 130+ countries and supports 2,100+ B2B platforms with $2.4B+ moved to date. The company is fully MiCA-authorized across the EEA and PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra.
Tasks:
— Own backend architecture across two large-scale microservice platforms (30+ and 25+ services), including system design, API contracts, data flow, and inter-service communication.
— Lead complex integrations with payment providers, card issuers, blockchain networks, and third-party APIs, ensuring reliability in production.
— Drive performance and scalability by identifying bottlenecks, designing caching strategies, optimizing database queries, and ensuring platform handles growing load.
— Shape technical direction by making architectural decisions, evaluating trade-offs, and influencing engineering standards.
— Partially offload the Tech Lead to help scale the team.
— Build and improve AI-powered processes using LLM-based systems to automate operational and development workflows.
— Contribute to office frontends (~20% time) by maintaining and extending React-based admin dashboards.
— Own features end-to-end from planning and design to implementation, testing, production monitoring, and iterative improvement.
— Collaborate closely with Product, QA, and cross-functional teams, produce technical documentation, participate in code reviews, and share knowledge.
— Participate in shared on-call rotation approximately one week per month.
Requirements:
— 5+ years of production backend development experience with TypeScript/Node.js.
— 2+ years of production experience with NestJS including modules, providers, middleware, guards, interceptors, and microservice architecture.
— Deep PostgreSQL expertise including schema design, indexing (partial, GIN/GiST), query optimization, zero-downtime migrations, and database-per-service pattern.
— Hands-on microservices experience (not monolith split into modules).
— Experience with inter-service communication (RPC, pub/sub), message brokers, idempotency, eventual consistency, saga/outbox patterns.
— System design skills including decomposing services, designing API contracts, data flow architecture, and capacity planning.
— Ability to whiteboard systems and explain architectural decisions.
— Experience with complex integrations with third-party APIs, payment systems, or similar external services in production.
— Knowledge of retries, circuit breakers, and graceful degradation.
— Performance engineering skills including profiling, caching strategies, load analysis, and bottleneck identification.
— Ability to optimize slow queries and services.
— Production blockchain experience with on-chain transactions, multiple networks, and real user funds.
— Understanding of HD wallets (BIP32/BIP39), smart contracts, ABI, ERC-20/SPL tokens, and account-based vs UTXO models.
— Experience with libraries such as ethers.js, viem, and solana/web3.js.
— AI-driven development experience using AI tools (Claude, Copilot, Cursor) and optimizing business or organizational processes with AI/LLMs.
— Strong testing discipline including unit tests (Jest), integration tests with real databases, and microservice testing.
— Security-conscious coding practices suitable for fintech and crypto.
— Skilled in technical research, evaluating trade-offs, testing hypotheses, and making data-driven architectural decisions.
— English proficiency at Upper-Intermediate level.
— Fluent in Russian.
Nice to have:
— Experience with NATS JetStream as a transport layer.
— Observability tools: OpenTelemetry, Prometheus + Grafana, structured logging (pino), distributed tracing.
— Advanced Kubernetes skills including Kustomize/Helm, deployment strategies, and resource management.
— Fintech domain knowledge: PCI DSS, GDPR, KYC/AML, payment systems.
— Experience mentoring junior/middle developers.
— React basics for office UIs (functional components, hooks, Redux, Material-UI).
— Close collaboration with Product, QA, Frontend, and Mobile teams; essential cross-functional communication.
Key results expected:
30 days: Ship first features to production, deep dive into stack, architecture, and domain.
60 days: Independently drive complex integration or major feature, participate in architectural code reviews, propose improvements.
90 days: Make architectural decisions, influence technical direction, partially offload Tech Lead, participate in planning.
Conditions:
— Fully remote work.
— Agile, international team.
— Engineering culture encouraging modern tools and development practices.
— Two career tracks: Tech Lead or Staff/Principal IC.
— Career progression and professional development in fintech.
— Competitive salary based on individual performance review.
— Transparent feedback culture valuing ownership and open dialogue.
Recruitment process:
— Submit application and CV.
— Application review.
— HR interview.
— Technical interview.
— Team Lead interview.
— Offer and next steps.
Задачи:
— Взаимодействие со стейкхолдерами со стороны разработки, бизнес-менеджмента и поддержки приложений
— Анализ требований и запросов на тестирование, разработка тест-кейсов
— Ручное тестирование WEB-приложений и API
— Функциональное, регрессионное, smoke-тестирование, модульное тестирование веб-сервисов
— Заведение и анализ ошибок
— Взаимодействие с командами разработки для исправления ошибок
— Документирование результатов тестирования и поддержка релизных циклов
— Выявление зон для автоматизации и развитие автоматизированного тестирования
— Разработка и поддержка автотестов
— Участие в развитии CI/CD-процессов и интеграции автоматизированного тестирования в pipeline
— Участие в нагрузочном тестировании
— Работа с системами мониторинга, логирования и журналирования для анализа поведения приложений и поиска причин ошибок
— Основной фокус на WEB, мобильное тестирование требуется в меньшей степени
— В ближайшие 2–3 месяца основной фокус на ручном тестировании, затем планируется увеличить долю автоматизации до 40–50%
Требования:
— Более 5 лет практического опыта в обеспечении качества, преимущественно в финансовой сфере
— Сильный опыт ручного тестирования WEB-приложений
— Опыт тестирования API с использованием Postman, Swagger
— Опыт автоматизации тестирования на Java
— Навыки программирования на Java обязательны
— Готовность работать с Java и Go, включая поиск и разбор ошибок в коде
— Понимание принципов построения и работы автоматизированных тестов
— Опыт работы с CI/CD-процессами и инструментами автоматизации тестирования
— Опыт работы с системами баг-трекинга
— Умение писать SQL-запросы
— Опыт работы с Grafana
— Знание ELK Stack и опыт работы с системами логирования и мониторинга
— Готовность участвовать в нагрузочном тестировании
— Способность работать в режиме многозадачности
— Опыт инвестирования и глубокое понимание фондового рынка
— Будет преимуществом опыт тестирования мобильных приложений
— Навыки программирования на Go будут преимуществом, рассматриваются кандидаты с базовым уровнем Go
— Понимание принципов распределенного трейсинга и идентификации запросов будет плюсом
Условия:
— Удалённая работа
— Полная занятость
— Зарплата до 200 000 ₽ в месяц
— Трудоустройство через ИП или готовность открыть ИП
Если вы готовы работать по аутстафф модели и подходите под описание, то смело откликайтесь.
УдалённоseniorГеография найма не уточнена
80 000 – 100 000 ₽
УдалённоseniorГеография найма не уточнена
УдалённоseniorГеография найма не уточнена, офис: Argentina
УдалённоPoland; Czech Republic; Slovenia; Bulgaria; Latvia; Spain; Ukraine; Lithuania; Greece; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Slovakia; Location: Remote, Europe Time Zone; Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture
УдалённоОАЭ; Помогают с релокацией в Дубай или Рияд после года работы; Fully remote (MENA time zone alignment required); You debug, document, automate and measure, and you care about products that work, not just systems that run Nice to have Hospitality, travel, fintech, marketplace or other integration-heavy background Hands-on experience with channel managers, PMSs, OTAs, reservation systems or payment gateways Experience building or leading a forward deployed, solutions or integrations engineering team Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform Experience in the GCC markets, and Arabic language skills Your first 90 days First 30 days: learn the platform and our live integrations, ship your first production change, and meet our key partners By 60 days: own at least one integration end to end, and agree the shared integration standards (auth, webhooks, idempotency, testing) with the team By 90 days: have the FDE hiring plan running, a delivery rhythm the team and partners trust, and clear reliability metrics for the integration layer Why join estaie Build and shape a new team from the start, at the frontier of AI-native hospitality Work directly with a founding team from Careem, Grab and Deutsche Telekom who value clarity, velocity and ownership Real-world complexity: partners and systems across the global hospitality ecosystem, with your work reaching production fast Flat, product-driven culture with strong engineering autonomy and end-to-end ownership Competitive compensation and founding-team ESOP potential Fully remote; after one year, relocation to Dubai or Riyadh for the right candidate Tech stack Frontend: Next.js, React, TypeScript, TailwindCSS; Laravel and Vue.js on parts of the core platform Backend: Node.js / NestJS, Python (FastAPI) for AI and data services, REST APIs and webhooks Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream Async and events: BullMQ, Pub/Sub, Kafka / Redpanda AI: Vertex AI (Gemini, Claude), LangChain, embeddings and vector search, agentic workflows Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT Observability: Cloud Logging, Prometheus, Grafana, alerting and anomaly detection Integrations: channel managers, PMSs, OTAs and supplier APIs; payment gateways such as Stripe, Tamara and Checkout.com; WhatsApp Business API and Twilio How to apply Email your CV to nimit@estaie.com
seniorКазахстан; The team works with US-based stakeholders, and calls are expected during Arizona time (MST, UTC-7)