Вакансии

Задачи: — подготовить инженерную организацию и технологии к росту числа продуктов и команд — работать в тесном партнёрстве с CEO и продуктовой командой Требования: — управление несколькими инженерными командами через руководителей и развитие лидов — рост инженерной организации: найм, формирование команд и изменение структуры под задачи бизнеса В компании сейчас три тимлида, около 12 разработчиков, два ML-инженера и QA. В работе используются Go, Ruby, Python, React, ClickHouse, Kafka и другие технологии.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Want to know more? Read this article https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React, React Native on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE DATA FOUNDATIONS CREW - WITHIN THE TECH FOUNDATIONS AREA 🎯 MISSION - Tech Foundations - enables product crews and creates the environment to thrive, combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. - Data Foundations - is one of its crews. Its mission: be the enabling and platform team for data lifecycle and privacy engineering across Alan: retention, deletion, anonymization, and pseudonymization, by design. It builds and runs the GDPR Orchestrator (the platform's current embodiment) and equips each area to own its own data rules on top of it. The team also handles data shared with third parties and partners, with Legal and Security on requirements, including authority-facing work (e.g. CNIL). 🔭 SCOPE 1. Own and evolve the privacy platform (build & run): its core engine, its safety mechanisms (preview/dry-run, audit trail), and its operational health (deploys, on-call, observability). You design the contract areas build on and keep it reliable as adoption grows. 2. Build the paved road (enable, teach to fish): docs, templates, and self-serve tooling so any of our 15+ areas can plug into the platform and manage its own data rules and dependencies. You coach areas through pairing and syncs; you build the capability rather than doing the work for them. 3. Coordinate across areas (the cross-area bridge): align legal, security, data, and the data-producing areas on requirements, surface cross-area data dependencies, and resolve design trade-offs between them. You own the coordination; each area stays accountable for its own data and rules. 4. Push the foundations forward: drive open platform design questions to a conclusion and grow the platform's capabilities as Alan's data, products, and footprint expand. 👀 FOCUS FOR 2026 - Own the platform: become the long-term owner of the GDPR Orchestrator and shape the roadmap for how Alan manages data lifecycle at scale. - Raise the bar on the platform: invest in its safety, observability, and developer experience so areas build on it with confidence. - Lay the paved road: ship the docs, templates, and tooling that let areas self-serve, then move ownership of data rules to the areas that produce the data. - Scale the surface: grow the platform's reach across data stores and third-party systems as Alan expands into new countries. ⭐ IS IT YOU WE'RE LOOKING FOR? EXPERIENCE WE VALUE - Senior-level experience (typically 8+ years) in backend or platform software engineering, or equivalent, with deep production ownership (API and contract design, data modeling, running what you ship). - You've built and operated platforms, libraries, or services that other engineers depend on, and you care about the contract you expose to them. - You're comfortable operating across many teams and influencing without authoritarianism: getting legal, security, data, and product crews who don't report to you aligned on a plan, and driving it to completion. - You bring pragmatism under constraint: you ship sound, safe solutions and improve them over time, rather than waiting for perfect. - Strong plus: prior privacy, GDPR, or data-governance exposure, and experience working in an enabling or platform-team operating model. - Explicitly not required: deep legal expertise. Legal and security partner with this role; they don't get replaced by it. MINDSET WE VALUE - You treat platform engineering as product work: engineers and members are your customers, and doing the right thing with their data should feel effortless. - You're hands-on: writing code is the bulk of the job (Python, TypeScript). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response. - You design and communicate: you're as comfortable writing a framing doc, drawing a dependency map, and aligning several areas on a design decision as you are writing the code. - You're an enabler: you measure your impact by how fast areas run their own data rules without ever consulting you. The harder you've worked, the less they have to engage you. - You build reusable patterns: guardrails, libraries, and safe-by-default abstractions that keep data handling correct and safe by design at scale. - You're fluent in English (French is not required). For this opportunity, we are aiming to hire above the E level range https://medium.com/alan/a-new-iteration-of-our-engineering-career-path-at-alan-f46f7b229b2d. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration. 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.

Location: Москва ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Ждем именно тебя! Ищете задачи, где код напрямую превращается в миллиардный финансовый результат? Присоединяйтесь к трайбу D-People. Мы меняем клиентский опыт через умную сегментацию — каждый сегмент получает свой подход, что приносит компании свыше 1 млрд рублей в год. В нашей команде из 60+ человек вы будете внедрять в продакшен передовые ML-модели, от классических пайплайнов до NLP-систем SOTA на базе трансформеров. Для самых амбициозных задач у нас есть два производительных кластера Hadoop и выделенные серверы с видеокартами NVIDIA Tesla A100 и V100. Обязанности * внедрение ML моделей и фичей, необходимых для их исполнения * проектирование и поддержка Pipeline-ов регулярного скоринга моделей * развитие Hadoop кластера подразделения (оптимизация нагрузки, масштабирование, установка доп. инструментов, часть задач по администрированию и мониторингу) * предоставление экспертной поддержки D-people (Engineer/Analyst/Scientist) трайба в части оптимизации запросов, хранения данных и т.д. * поддержка сопроводительной документации в базе знаний подразделения. Требования * опыт работы от 3 лет в качестве Data Engineer/Data Analyst/Data Scientist * продвинутые знания SQL и Python: опыт разработки и, желательно, внедрения в пром. от 1 года * уверенные знания основных компонентов Apache Hadoop * опыт работы с фреймворком Apache Spark * понимание основ Machine Learning. **Будет плюсом:** * знание Scala * опыт с Python ML-frameworks (Scikit-Learn, LightGBM, PyTorch и другие) * опыт с Spark streaming, Kafka, Hbase, GreenPlum * опыт с DevOps (Jenkins), Git (BitBucket) * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт с методологии Agile (SCRUM, Kanban). Условия комфортный современный офис рядом с м. Кутузовская возможность выбрать удобный график – офис/гибрид (офисный формат на период испытательного срока) ежегодный пересмотр зарплаты, годовая премия корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития программа адаптации и помощь руководителя на старте расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ подписка Прайм с возможностью совместного использования на трёх близких вознаграждение за рекомендацию друзей в команду Сбера.

Location: Paris, France; Marseille, France; Bordeaux, France; Biarritz, France; Brussels, Belgium HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA FOUNDATIONS TEAM ⭐ At Alan, every decision we make about our members' care, contracts and claims is a data decision. The Data Foundations team builds the platform that makes those decisions possible in a safe way. - Being part of the Data Foundations team means you’ll build, maintain, and improve the Data Platform used by everyone at Alan. - We enable Alan’s data-driven nature and help our colleagues make the most of their data. - Partner closely with people across Alan (technical and non-technical) to understand their needs and build data solutions they can trust and use effectively. - We own and manage all data-related tools that power Alan. - AI is changing the way companies work with data: agents are becoming first-class users of our data warehouse. It opens a world of new usage and exciting features, as well as concerns around security, data quality and governance. We are building the foundations that allow Alan to make the most of this exciting new paradigm. - Alan is expanding quickly: we went from 4 to 6 countries this year and we won’t stop there. Our objective is to onboard new countries in weeks, not months. Having strong data foundations is a cornerstone of that expansion, allowing our teams to make sense of a patchwork of insurance systems, regulations and reporting rules. - Examples of our missions: - improve the developer experience when building and maintaining data pipelines, - enable reliable and secure access to our data warehouse for Alaners and AI agents, - strengthen security and governance around our data assets, - define and implement standard data practices across Alan, - maintain and evolve our core data infrastructure to accommodate Alan's international expansion and growing product breadth… - Our core tools include Python, Airflow, Snowflake, AWS/GCP, Metabase, Terraform, dbt, and others. - Who you'll work with: Data Foundations is a small, high-leverage team inside the Tech Foundations area, whose mission is to enable product crews through world-class infrastructure, developer experience, operational excellence, and built-in security. You'd be joining as one of its core engineers, working daily with the whole Data community at Alan. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them. - 3+ years of experience demonstrating impact in Data positions. We welcome candidates from early-career to highly experienced profiles. You may already have strong expertise in Data Engineering, or be an experienced data or software engineer looking to deepen your specialization in this area. - Experience building and operating production data infrastructure: orchestration (Airflow or similar), a cloud data warehouse, infrastructure as code. - Experience designing systems, tools or libraries used by other engineers, scientists or analysts. - Proficient in Python and SQL. Setting a high standard of rigor and precision for yourself, interested in your craft. - Curious about AI and eager to use it thoughtfully to increase your impact. - Great listening and communication skills. - Humble, kind, collaborative, and still willing to grow (no matter your seniority!). - Fluent and clear in English, both oral and written (no need to speak French!). For this role, we are looking to hire within the C0-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learning or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21. #LI-DNP

Задачи: — Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. — Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны. — Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi. — Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes. — Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset. — Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности. Требования: — Уверенные навыки настройки и администрирования как минимум одной облачной платформы. — Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps. — Опыт построения масштабируемой IT-инфраструктуры. — Уверенные навыки настройки Linux-серверов и устранения неисправностей. — Практический опыт работы с Kubernetes. — Понимание сетевой модели OSI. — Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания. — Знание принципов информационной безопасности и защиты данных. — Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.

Задачи: — Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA — Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки) — Создавать дашборды мониторинга и проактивные оповещения — Писать скрипты на Python для автоматизации и массовых операций — Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем Требования: — Опыт ежедневной работы с LLM и prompt engineering — Практические навыки работы с Grafana/Datadog (создание дашбордов и оповещений) — Скриптинг на Python и хорошее понимание распределённых систем — Опыт работы 2+ года в TechOps/технической поддержке (FinTech/Forex/Crypto будет плюсом) — Отличное владение английским языком (C1+) Условия: — Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8 — Работа в англоязычной команде

Задачи: — Владение и развитие стратегии качества компании, включая дорожную карту и рамки ответственности для инженеров, EM и PM на каждом этапе разработки ПО. — Разработка стратегии тестирования по всему стеку: unit, component, contract, API, end-to-end, мобильное и нефункциональное тестирование (производительность, нагрузка, доступность), согласованная с каждой командой. — Развитие AI-ориентированных инструментов качества, включая агенты и навыки, такие как Claude Code, для генерации тестов, ревью кода и руководства по качеству. — Управление CI/CD и инфраструктурой тестирования: обязательные проверки, quality gates, E2E и визуальные регрессионные пайплайны, бюджеты производительности, стратегия мобильной автоматизации на эмуляторах и реальных устройствах. — Связь сигналов качества из продакшена с инцидент-менеджментом и создание рабочих дашбордов. — Техническое наставничество QA-инженеров по всей организации, поддержка их технического роста и взаимодействие с EM для оценки производительности. Требования: — Опыт использования AI для генерации тестов и создания агентных инструментов (Claude Code, MCP workflows). — Стратегическое мышление с умением адаптировать подходы к уровню зрелости команды. — Глубокий практический опыт создания и поддержки тестовых наборов: компонентных, контрактных, API, E2E, производительности. — Умение обучать и наставлять инженеров, а также заниматься hands-on разработкой CI/CD и инструментов. — Готовность влиять на дисциплину QA без непосредственного управления персоналом на старте, опыт управления QA-командой будет плюсом. Условия: — Годовая зарплата $80,000-$100,000 USD. — Полностью удалённая работа с гибким графиком, ориентированным на результат. — Работа с партнёрами из США, требуется организация рабочего времени с учётом часовых поясов. Роль не предполагает традиционного управления QA-инженерами на старте, не является ролью по утверждению тикетов или блокировке релизов, не требует создания стратегии с нуля и не измеряется ростом команды, а улучшением качества всей инженерной организации.

Задачи: — Владение и развитие стратегии качества компании, включая дорожную карту и рамки ответственности для инженеров, EM и PM на каждом этапе разработки ПО. — Разработка стратегии тестирования по всему стеку: unit, component, contract, API, end-to-end, мобильное и нефункциональное тестирование (производительность, нагрузка, доступность), согласованной с каждой командой. — Развитие AI-ориентированных инструментов качества, включая агенты и навыки, такие как Claude Code, для генерации тестов, ревью кода и руководства по качеству. — Управление CI/CD и инфраструктурой тестирования: контрольные проверки, quality gates, E2E и визуальные регрессионные пайплайны, бюджеты производительности, стратегия мобильной автоматизации на эмуляторах и реальных устройствах. — Интеграция сигналов качества из продакшена с инцидент-менеджментом и создание рабочих дашбордов. — Техническое наставничество QA-инженеров по всей организации, поддержка их технического роста и взаимодействие с EM для оценки производительности. Требования: — Опыт использования AI для генерации тестов и создания агентных инструментов (Claude Code, MCP workflows). — Стратегическое мышление с умением адаптировать подходы к уровню зрелости команды, без навязывания конкретных инструментов или метрик. — Глубокий практический опыт создания и поддержки тестовых наборов: компонентных, контрактных, API, E2E и производительных тестов. — Умение обучать и наставлять инженеров, а также самостоятельно строить CI-пайплайны и инструменты. — Готовность влиять на техническую дисциплину без непосредственного управления командой на старте, с возможностью развития управленческих функций. Условия: — Годовая зарплата от 80,000 до 100,000 USD. — Полностью удалённая работа с гибким графиком, ориентированным на результат. — Работа с партнёрами из США, требуется организация рабочего времени с учётом часовых поясов. Роль не предполагает традиционного управления QA-инженерами на старте, не требует переписывания существующих процессов и инструментов, не является ролью по утверждению тикетов или блокировке релизов, и не оценивается по росту численности команды, а по улучшению качества всей инженерной организации.

Azumo is looking for a highly motivated Python Engineer to develop and enhance high performing and scalable software infrastructures in AI, NLP and data intensive software environments. This position will give you the opportunity to collaborate with a growing team and bright engineering minds in AI computing. You will enjoy the role if you love designing and developing scalable, high performant backend infrastructure using Python, React + Django / Flask / Eve / FastAPI open-source frameworks and connecting applications to modern cloud-based technologies. Responsibilities: — Design, develop and test server features and robust APIs — Integrate existing applications with third party systems — Evaluate multiple approaches and technologies to solving a problem Requirements: — BS or Master’s degree in Computer Science, related degree, or equivalent experience — 5+ years experience with backend development, Python Django / Flask / Eve / FastAPI — Deep expertise with Linux and hosted cloud environments (Heroku, AWS, App Engine or other) — Practical experience with open source technologies, including SQL and NoSQL DBs — Experience integrating solutions with 3rd party APIs (RESTful, OAuth, JSON) — Self-driven and motivated, with a strong work ethic and a passion for problem solving Preferred Qualifications: — Love for coding and willingness to be agile — Hacker spirit within a collaborative team Benefits: — The Python Engineer will be based remotely — Compensation commensurate with experience and candidate potential — 10 PTO — Training Udemy free — English Lessons — Mentored career development — U.S. Holidays — Profit Sharing — $US Remuneration

Требования: — Опыт работы 0–2 года — Образование: BE/BTech/ME/MS/MTech в области электротехники, электроники или эквивалентное Локация: — Bangalore / Pune

Location: Europe Workplace: Remote As a Backend Engineer on Coder's Enterprise Experience team, you'll build the features that help large organizations run Coder in production with confidence. The team owns what administrators and operators need to run Coder well. That covers how it scales, how it's upgraded, how reliably it performs, how it's observed and reported on, how activity is held accountable, and how it's secured. You'll join a cross-functional team of backend, platform, and QA engineers who own the operator experience end to end. You'll ship features from design through production and partner with product and design to solve real operator problems. WHAT YOU'LL DO HERE - Build features end to end, from a design you write within the team's existing approach through production rollout. - Write database migrations that follow the team's patterns for schema compatibility and safe upgrades. - Build the observability, reporting, and audit features administrators rely on to see what their deployment is doing. - Build features that keep enterprise deployments secure, following the team's security practices. - Help investigate and resolve scalability bottlenecks under production-like load, from database access patterns to concurrency in coderd. - Help resolve backend issues surfaced by Coder operators and administrators. - Document the features you build so a reviewer and the next engineer do not have to decode them. - Participate in code reviews, contribute to RFC-style design discussions, and join the on-call rotation. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Professional experience writing and shipping Go. - Working understanding of Go's concurrency model, including goroutines, channels, and the sync package. - Comfortable with SQL, schema changes, and writing migrations. - Strong verbal and written communication skills, including surfacing blockers and uncertainty early. - Solid debugging skills and the persistence to work a problem, and to escalate early when stuck. - A self-motivated, analytical engineer who enjoys difficult technical challenges. BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience investigating performance under real-world load, including debugging race conditions. - Experience with observability, audit, or security features in an enterprise product. - Experience with major cloud providers, Kubernetes, and container orchestration. - Experience building or operating distributed systems at a meaningful scale. - Curiosity about the latest developer tooling. OUR TECH STACK - Backend: Go, Postgres, Kubernetes, gRPC - Observability: Prometheus, Grafana - CI/CD: GitHub Actions - General: GitHub, Slack, Discord, Notion ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote, Japan GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Engineer, you'll expand your impact by partnering with customers in GitLab's group across APJ to help them get measurable value from GitLab through hands-on technical guidance and proactive enablement. You'll serve as a trusted technical advisor, partnering with customers over Zoom and email to improve adoption, unblock implementations, and apply DevSecOps best practices across the software delivery lifecycle. Working closely with Account Executives and Renewals Managers, you'll align technical recommendations to customer goals and help support renewals and expansion by demonstrating outcomes. You'll also contribute back to the broader GitLab team by sharing learnings through documentation and enablement content, while mentoring team members and customers through complex technical challenges. This role is a strong fit for someone who enjoys solving complex technical problems, communicates clearly, and thrives in a remote, asynchronous environment. You're eager to grow into customer-facing technical leadership with strong mentorship and support from a collaborative team. What you’ll do Provide on-demand technical consultancy and solution guidance through Zoom and written channels, helping customers solve day-to-day issues and design and implement GitLab solutions for their DevSecOps workflows. Drive product adoption and measurable customer value across APJ accounts to support renewals and expansion. Deliver technical and architectural guidance across source code management, CI/CD, DevSecOps, and Agile planning to unblock implementations and improve adoption. Partner with Account Executives and Renewals Managers to align technical recommendations to customer objectives and account plans that support retention and growth. Plan and lead customer workshops, demos, and enablement sessions that help teams adopt GitLab confidently and drive measurable adoption and value, supporting renewals and expansion across APJ. Maintain and grow your specialty competency in GitLab capabilities and relevant DevSecOps tooling, staying current on new product features and patterns. Contribute to scalable enablement by improving documentation, sharing knowledge through internal and external channels (for example, tutorials or technical content), and mentoring team members and customers to build technical competency and adoption. Manage multiple customer engagements in parallel, prioritizing effectively and communicating status, risks, and next steps to keep implementations on track. What you’ll bring Experience providing technical consultancy and solution guidance through video calls and written channels, helping users or customers adopt technical solutions successfully. Familiarity with DevSecOps workflows and related practices across areas such as source code management, CI/CD, security, and Agile planning, with the ability to grow breadth over time. Hands-on technical background in software development, systems engineering, or similar technical environments, or equivalent practical experience. Strong communication and collaboration skills, including the ability to explain complex technical topics clearly and work effectively with customers, account teams, and cross-functional partners. Ability to lead or support workshops, demos, and enablement sessions that build confidence and drive adoption. Ability to manage multiple priorities in a remote, asynchronous environment while communicating status, risks, and next steps clearly. Interest in supporting customers across APJ and adapting to different cultures, working styles, and technical maturity levels. Must be based in Japan, with full working rights in Japan Must be fluent in Japanese and English About the team In this role, you'll support our customers across APJ, delivering workshops, demos, and best-practice guidance while contributing back to our shared documentation and enablement resources. For more on how we work, see Customer Success Engineering team handbook page . How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Требуется инженер по верификации дизайна SoC с опытом работы от 2 до 4 лет.

Задачи: • Работать как инженер с применением AI в backend, web, Android и iOS. • Сотрудничать с продакт-менеджерами для превращения целей в решения. • Проектировать функции с учётом ограничений, таких как масштаб и задержка. • Создавать и поддерживать полный жизненный цикл функций, включая качество и тестирование. • Выпускать функции и измерять их влияние на пользователей. Требования: • Опыт разработки ПО 5+ лет, особенно в backend. • Глубокие знания AI-разработки и осознание рисков. • Уверенность в работе с несколькими технологическими стеками и языками. • Опыт работы с высоконагруженными распределёнными системами. • Владение английским языком на уровне Intermediate или выше. Желательно: • Опыт с Java 17+, Spring Boot, Docker и Kubernetes. • Опыт работы с live-streaming или высокомасштабными потребительскими продуктами. Условия: • Конкурентная зарплата и опционные программы (все являются партнёрами). • Официальное трудоустройство на Кипре (поддержка визы для сотрудника и супруга). • Офис в Лимассоле с питанием, закусками и творческой атмосферой. • Медицинская страховка (100% для сотрудника, 75% для семьи). • Доступ к матчам и мероприятиям Aris Limassol F.C. • Возможности профессионального роста и уроки греческого языка. Формат работы: офис, Лимассол.

Your Purpose At Bitso, the Software Engineer on the Nexus Squad owns the reliability, scalability, and evolution of our mission-critical pay-in and pay-out systems, the financial backbone that moves billions of dollars worldwide. You will design and deliver event-driven, high-throughput solutions that ensure every pay-in and pay-out is fast, accurate, and resilient. Working closely with product, infrastructure, and compliance stakeholders, you will shape the technical direction of a domain where the bar for quality is exceptionally high, resilience is built through continuous learning, and every millisecond of performance matters — for the millions of retail users and the businesses that rely on Bitso to power their financial operations. Reports To This role reports to the Nexus Engineering Manager. Who You Are You are experienced in Java backend development, with a proven track record of shipping production systems at scale. You are familiar with event-driven architecture patterns (event sourcing, CQRS, sagas) and have hands-on experience operating Apache Kafka in high-throughput, real-money environments. You have designed and implemented distributed, fault-tolerant microservices that handle financial or similarly critical transactional data. You have solid experience with relational databases (PostgreSQL preferred), including schema design, migrations, and query optimization. You are comfortable with cloud-native infrastructure (AWS, GCP, or equivalent), containerization (Docker, Kubernetes), and CI/CD pipelines. You communicate complex technical concepts clearly in English, written and spoken, to engineering peers, product managers, and senior leadership. You work with a high degree of autonomy and ownership — you identify problems, propose solutions, and see them through to production. You are familiar with AI-assisted development flow and tools (Cursor, Claude, CodeRabbit). You have a strong sense of urgency and are comfortable operating in a fast-paced, high-stakes fintech environment. Financial Domain (nice to have): Familiarity with payment rails, reconciliation or idempotent transaction processing in financial systems is a strong plus. What You Will Do Own pay-in and pay-out systems: design, build, and maintain the core infrastructure that processes financial transactions and moves billions of dollars worldwide. Architect event-driven solutions: design Kafka-based pipelines and workflows that guarantee correctness, ordering, and resilience at scale. Drive technical decisions: lead architecture discussions, define and use patterns, and set standards for the pay-in and pay-out domain in collaboration with the Nexus team. Deliver high-quality code: write clean, well-tested, high-performance Java code and champion engineering best practices through code reviews. Embrace AI-assisted development: leverage tools like Cursor, Claude, and CodeRabbit as part of your everyday workflow, contribute to skills and guardrails development, and apply Spec-Driven Development (SDD) practices to ensure solutions are well-defined, reviewable, and aligned before implementation begins. Ensure system reliability: proactively monitor, debug, and resolve production incidents with a focus on root-cause analysis and lasting fixes. Collaborate cross-functionally: partner with Product, Compliance, and Finance stakeholders to translate complex business requirements into sound technical solutions. Mentor and uplift: share knowledge with fellow engineers, contribute to internal tech talks, and foster a culture of continuous improvement within the squad. Improve observability: instrument services with comprehensive metrics, logs, and traces to enable rapid diagnosis and confident deployments. Research in Diversity, Equity, and Inclusion suggests that individuals may hesitate to apply for jobs if they do not meet all the listed criteria. At Bitso, we value diversity and your unique strengths could be just what we're looking for. If this role excites you but you don't match every point in the description, we still want to hear from you.