Location: Spain; Portugal; Poland; Estonia
Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks.
In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company.
We are looking for a Dev Manager to lead the engineering team responsible for integrations between our product and external systems, including the Integrations Store. You will combine engineering leadership with hands-on technical expertise to deliver secure, reliable integrations that fit our customers' workflows.
What you'll do:
Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback.
Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible.
Delegate ownership to engineers and, as the team grows, team leads; distinguish near-term delivery from long-term capability development. Keep the role to no more than three clearly defined focus areas, with team leads taking ownership as capacity grows.
Work with Product Management to define priorities, plan delivery, and translate customer needs into integration capabilities.
Oversee the design, development, and maintenance of integrations, including:
- Connectors to third-party applications and services.
- An Integrations Store for discovering and managing available integrations.
- Data mapping, validation, and synchronization between systems.
- Authentication, authorization, and secure credential handling.
- Monitoring, troubleshooting, and recovery from integration failures.
Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners.
Establish reusable integration patterns that handle retries, rate limits, duplicate events, and API version changes reliably.
Own automated pipelines for building, testing, validating, and deploying integrations.
Improve integration reliability, performance, and observability, and guide the team in resolving production issues.
Coordinate with other engineering teams and external partners to manage dependencies and compatibility.
Apply AI technologies where they improve integration development, testing, or support, with appropriate validation of outputs.
Requirements
What we're looking for:
Experience leading software engineers and owning the delivery and operation of production systems.
Strong software engineering fundamentals and the ability to contribute to technical problem-solving.
Excellent knowledge of Node.js, JavaScript, and TypeScript.
Experience building and operating AWS services in production.
Hands-on experience designing and maintaining APIs and integrations with external systems.
Understanding of distributed systems, asynchronous processing, data consistency, and failure recovery.
Proficiency in SQL and experience with data modeling, aggregation, and query performance.
Experience with secure authentication and authorization for integrations.
Strong communication skills and the ability to align engineering work with product priorities.
Professional working proficiency in English for leading an English-speaking team and collaborating across functions.
Nice to have:
Experience writing automated integration and contract tests.
Proficiency in SQL.
Experience with runtime isolation and sandboxing for sensitive execution.
Experience in B2B SaaS, security, compliance, or data governance.
Experience building high-load products with numerous endpoints.
Experience maintaining integrations across multiple third-party API versions.
Benefits
Fully remote work with flexibility to support your work-life balance.
A collaborative environment that empowers you to own your domain and implement best practices.
Stable income, benefits, flexible working hours, and opportunities for career advancement.
Friendly, professional colleagues who are eager to support you and help you grow.
Engaging challenges and opportunities to make a meaningful impact.
Location: Poland; Georgia; Serbia; Bulgaria; Armenia
We build cloud CPaaS/CCaaS infrastructure - the routing, messaging and real-time layer that contact centres run on. High traffic, event-driven services, and a UI that has to stay correct while thousands of live conversations move through it.
We're hiring a senior engineer for a team where AI agents are part of the normal development loop, not a pilot. You'll own features end-to-end across a Go backend and a React/TypeScript frontend, and you'll be accountable for everything you ship — including the parts an agent wrote.
This is not a prompt-engineering role. It's a senior engineering role where AI-assisted delivery is the default working method.
Requirements
What will you do at MMDSmart?
Own features end-to-end across Go backend and React/TypeScript frontend;
Design and develop solutions for high-load and distributed production systems;
Use AI coding agents as an integral part of your everyday development workflow;
Guide AI agents, review and verify their output, and take ownership of the final result;
Build and evolve backend services, APIs, frontend functionality, and external integrations;
Investigate complex production issues and drive them to resolution;
Contribute to architecture decisions, technical discussions, and system improvements;
Help improve our codebase and development practices to make AI-assisted engineering more effective.
You are a perfect match if you have:
5+ years of professional software engineering experience and strong Senior-level engineering fundamentals;
Strong hands-on production experience with Go - 4 years of experience;
Practical experience with React and/or TypeScript; you don’t need to be a frontend expert, but you should be comfortable working with frontend code;
Hands-on experience with high-load and distributed production systems;
Experience designing, building, and debugging production services and APIs;
Hands-on experience with AI coding tools such as Claude Code, Cursor, Windsurf, Copilot, or similar - beyond simple autocomplete;
Ability to use AI to work effectively across different parts of the stack while critically reviewing and verifying its output;
Strong engineering judgement, ownership, and ability to make technical decisions independently.
Our Tech Stack:
Backend: Go, microservices, REST APIs, GraphQL
Frontend: React, TypeScript, Zustand / Redux Toolkit, WebSocket / SSE
Event-driven: Kafka, NATS / JetStream, RabbitMQ, event-driven architecture
Data: PostgreSQL, Redis, MongoDB
Infrastructure: GCP, Kubernetes, Docker, CI/CD, Infrastructure as Code
Observability & Performance: structured logging, metrics, tracing, profiling, high-load and concurrency tooling
AI Development: Claude Code, Cursor, Windsurf, Copilot and other agentic development tools
Domain: CPaaS / CCaaS, messaging, voice, real-time communication, external provider integrations
Will be a plus:
CCaaS / CPaaS / telecom background: contact-centre routing, ACD, omnichannel messaging.
Voice stack: WebRTC, SIP, media servers, or CPaaS APIs
API gateway and microservices integration; GraphQL federation.
Kubernetes, Docker, CI/CD ownership, infrastructure-as-code.
Polyglot persistence: Redis for caching and ephemeral state, PostgreSQL where a document model is the wrong fit; plus the judgement to tell the difference. MongoDB Atlas or self-managed cluster operations.
Internal tooling, evals or automation built on LLM APIs.
Open-source contributions, especially in Go.
What you get:
An AI-first engineering environment where AI is part of real production development;
The opportunity to use AI to work across the full stack and expand beyond your primary expertise;
Work on high-load communication products with real business impact;
A team where Senior Engineers influence technical decisions and architecture;
Remote work.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance:
Choose your working format - remote, office-based, or hybrid and engage in team-building activities.
Think this role's got your name on it? Go ahead and apply, we'd love to see what you've got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
*Medical Insurance and Sport Card perks are available for employees located in Bulgaria.
Задачи:
— создавать новые функции и модули продуктов;
— разрабатывать компоненты на Angular;
— разрабатывать сервисы Angular для взаимодействия с серверным API;
— собирать сложные клиентские SPA-приложения из модулей Angular;
— разрабатывать библиотеку стилей и тем продуктов;
— строить адаптивный интерфейс на основе библиотеки стилей Bootstrap.
Требования:
— опыт от 5 лет;
— понимание принципов проектирования и паттернов разработки, бест практис;
— уверенное владение Angular 8+, Typescript, Javascript, RxJS;
— опыт создания компонентов/сервисов на Angular;
— участие в проектировании архитектуры сложных многомодульных SPA;
— верстка HTML 5, Bootstrap 5.x, адаптивный дизайн, CSS;
— уверенное владение Git, Jira.
Условия:
— официальное оформление и стабильный доход по ТК РФ;
— все льготы и преимущества работы в аккредитованной ИТ-компании;
— программа ДМС;
— работа в офисе с гибким началом рабочего дня;
— офис в шаговой доступности от м. Динамо, оборудованный для комфортной работы и отдыха.
ОфисМосква
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:
— разрабатывать и развивать пользовательские интерфейсы порталов и личных кабинетов на vue 3
— работать с серверными шаблонами twig и клиентской логикой поверх них
— развивать административные интерфейсы на sonata под задачи операторов
— поддерживать кроссбраузерность и адаптивность от мобильных устройств до рабочих мест операторов
— интегрировать интерфейсы с rest api продукта и внешних систем
— обрабатывать форматы json и xml
— реализовывать сценарии авторизации через судир с двухфакторной аутентификацией
— встраивать картографические сценарии и подсказки адресов и организаций
— разрабатывать интерфейсы электронного подписания документов
— разрабатывать стандарт написания и оформления кода по фронтенду
— согласовывать стандарт с руководителем технического блока
— поддерживать стандарт в актуальном состоянии
— проводить и проходить ревью кода по этим стандартам
— обеспечивать доступность интерфейсов и соответствие требованиям к государственным информационным ресурсам
— участвовать в оценке трудозатрат и приёмке фронтенд-результатов подрядчика
— вести техническую документацию по своим компонентам
Требования:
— опыт разработки фронтенда от 3 лет, из них не менее 2 лет с vue 3 в связке composition api и pinia
— уверенное владение javascript и современным ecmascript, typescript
— опыт разработки шаблонов twig для symfony и работы с бандлами sonata
— понимание серверного рендеринга и шаблонизаторов
— семантическая вёрстка: html5, css3, препроцессоры, адаптивность, кроссбраузерность
— практика интеграции с rest api: работа с json, обработка ошибок и состояний загрузки
— сборка фронтенда на vite или webpack
— git и работа в командной модели ветвления
— npm или yarn
— опыт написания unit и e2e тестов
— понимание клиентской безопасности: xss, csrf, csp, samesite и lax
Условия:
— рыночную зарплату и премии
— драйвовые задачи и ресурсы для их реализации
— гибридный режим работы: можно работать удаленно или в современном офисе в центре
— преимущества аккредитованной IT-компании
— материальную помощь в случае важных событий в жизни
— корпоративное обучение у топовых провайдеров и доступ к онлайн-библиотеке
— корпоративные тренировки и спортивные активности - бег, футбол, волейбол, баскетбол, теннис и другие
— комьюнити по интересам
— скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д.
Обязанности:
• Разработка и поддержка высоконагруженных пользовательских интерфейсов на Angular и TypeScript;
• Проектирование и реализация микрофронтендной архитектуры (Module Federation, Web Components и т.п.);
• Интеграция с микросервисным бэкендом (REST/gRPC/WebSocket), работа с API-контрактами;
• Участие в проектировании архитектуры фронтенд-приложений и технических решений;
• Менторство и помощь младшим разработчикам;
• Участие в планировании, оценке задач, декомпозиции;
• Проведение code review, соблюдение стандартов кодирования;
• Обеспечение качества, производительности и отказоустойчивости интерфейсов.
Требования:
• Опыт работы с JavaScript от 5 лет.;
• Опыт работы с Angular и TypeScript;
• Опыт написания тестов;
• Опыт работы с микросервисной и микрофронтендной архитектурой;
• Опыт настройки CI, nginx будет плюсом.
Условия:
• Официальное трудоустройство по ТК РФ в аккредитованную IT-компанию;
• Полностью белую заработную плату;
• ДМС после испытательного срока;
• Корпоративное обучение, возможности профессионального развития и карьерного роста;
• Программу корпоративных скидок и привилегий (Best Benefits);
• Совместные активности, мероприятия и многое другое.
seniorРоссия; Сейчас мы находимся в поиске активного и опытного frontend разработчика для работы над масштабным проектом одного из крупнейших банков РФ
Задачи:
— Проектирование архитектуры высоконагруженных модулей личного кабинета, написание чистого, поддерживаемого кода на PHP (современные версии 8.x, Yii2) и Golang.
— Проектирование схем данных, написание сложных запросов, оптимизация и настройка производительности PostgreSQL (индексы, партиционирование, работа с JSONB).
— Написание unit- и интеграционных тестов для критически важных модулей, поддержание и развитие тестовой базы, контроль процентного покрытия кода тестами.
— Внедрение практик тестирования в командный процесс, проведение код-ревью с фокусом на тестируемость кода.
— Полный цикл доставки кода до продакшена, написание и поддержка пайплайнов в GitLab CI/CD, автоматизация сборки, тестирования и деплоя (бэкенд + фронтенд), обеспечение zero-downtime деплоя.
— Тесное взаимодействие с фронтенд-разработчиками (стек React, TypeScript), ревью их кода, помощь в проектировании API.
— Участие в код-ревью, поиск узких мест, рефакторинг легаси, написание тестов (unit/integration).
— Наставничество и помощь в росте менее опытных коллег, участие в декомпозиции задач и оценке сроков.
Требования:
— Уверенное владение PHP, знание Yii2 (ООП, SOLID, паттерны проектирования).
— Знание PostgreSQL: умение оптимизировать запросы, работа с большими объемами данных, знание внутренностей СУБД.
— Опыт разработки на Golang или сильное желание и базовые знания для активного перехода на него.
— Опыт настройки CI/CD в GitLab (написание пайплайнов, автоматизация деплоя).
— Опыт написания автотестов (unit, integration) и понимание их роли в обеспечении стабильности продукта.
— Понимание устройства современных SPA-приложений, опыт интеграции с React приложениями.
— Опыт работы с очередями (RabbitMQ) и in-memory БД (Redis, Memcached).
— Опыт работы в Linux, понимание сети, умение искать проблемы в логах.
— Знание Docker, оркестрации (Kubernetes / Swarm) будет плюсом.
— Хорошие коммуникативные навыки и умение писать документацию.
Location: San Francisco; New York City
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration.
- Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably.
- Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks.
- Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces.
- Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable.
- Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences.
- Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
QUALIFICATIONS
- Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
- Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
- Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions.
- Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
- Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
- Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
NICE TO HAVE
- Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution.
- Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks.
- Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems.
- Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks.
- AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Location: San Francisco; New York City
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Agent Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Agent Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, determine where they create real user value, and transform them into reliable, scalable, high quality experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | Rust | PostgreSQL | DynamoDB | AWS | TypeScript
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Evaluate frontier models against real user tasks, identify useful behaviors and failure modes, and turn the most promising advances into production agent systems. Own the lifecycle from rapid prototyping and evaluation through launch, monitoring, and iteration.
- Improve agents’ ability to plan, use tools, manage context, recover from errors, and complete long-running tasks reliably.
- Apply state of the art ML and LLM techniques to design scalable agent capabilities such as skills, plugins, artifact generation, tools integrate and use, auto-research, and multi-agent collaboration. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for real-world tasks.
- Own agent behavior and capabilities end-to-end, from user-facing products and interfaces to backend services. Define offline and online evaluations for task completion, correctness, safety, latency, cost, and user satisfaction. Iteratively improve across models, prompts, harnesses, and products for different problem spaces.
- Build secure, observable, and reliable agent systems, including permissions and safeguards for sensitive actions. Develop tracing, replay, and monitoring infrastructure that makes agent failures reproducible and actionable.
- Collaborate closely with PM, Data Science, Research, to identify high-impact opportunities in understanding and validating emerging model capabilities, and turn complex agent behaviors into simple, reliable product experiences.
- Apply relevant advances in models, inference, evaluation, and agent architecture when they produce measurable improvements in production performance. Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
QUALIFICATIONS
- Typically 6+ years of professional software engineering experience, with a track record of building and owning robust AI-powered, large-scale, user-facing or data-intensive products. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
- Strong software engineering fundamentals, with experience building and operating AI/ML products, backend services, or distributed systems at scale.
- Experience owning the AI product lifecycle, including data analysis, rigorous evaluation, production monitoring, and iterative improvement. Able to define metrics and use production data and user feedback to guide decisions.
- Practical experience in one or more relevant areas, such as agent harnesses, tool use, context engineering, model evaluation, browser automation, or long-running task execution.
- Strong product judgment and execution: you can translate ambiguous user needs into applied AI or ML problems and ship durable solutions with measurable user impact.
- Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
NICE TO HAVE
- Experience with LLM context engineering or harness engineering, experience with subagents, coding assistants, long-running or autonomous task execution.
- Deep familiarity with the strengths and limitations of current model families across reasoning, tool use, context management, and long-horizon tasks.
- Experience building agent permissions, safeguards, evaluation infrastructure, or production observability systems.
- Experience with mid-training, post-training, or reinforcement learning for frontier or open-source models, along with a strong understanding of model strengths and limitations across reasoning, tool use, context management, and long-horizon tasks.
- AI/ML research experience demonstrated through publications, open-source contributions, or other meaningful research impact.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
Задачи:
— Разработка и поддержка автотестов на уровнях UI и E2E с использованием TypeScript и Playwright
— Выполнение ручного тестирования веб-приложений и API; участие в регрессионном и smoke-тестировании
— Выявление, локализация и документирование дефектов; анализ и документирование результатов тестирования
— Выполнение нагрузочного тестирования
— Взаимодействие с разработчиками и командой по вопросам качества продукта
— Работа с Jira, Confluence, Jenkins; применение AI-инструментов для генерации тест-кейсов и тестовых данных
Требования:
— Опыт в QA от 3 лет на TypeScript / JavaScript
— Практический опыт с Playwright и разработкой E2E-тестов
— Опыт ручного тестирования веб-приложений и API; понимание REST и SOAP
— Знание SQL и принципов работы реляционных баз данных
— Уверенное владение Git; понимание HTML и CSS
— Знание основных принципов разработки и тестирования ПО; понимание Agile (Scrum, Kanban)
Условия:
— Оформление по ТК РФ или ИП
— Техника предоставляется
— ДМС со стоматологией
— Компенсация фитнеса
— Скидки на обучение, кино, Skyeng
— Индексация зарплаты
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.
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 INFRA 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.
- Infra - is one of its crews. Its mission: operate and evolve the foundations Alan runs on (multi-cloud infrastructure, data platforms, observability, and the operational practices around them) so that product crews ship safely and quickly, members never feel the platform underneath, and the business can expand to new countries without re-inventing how we run.
🔭 Scope:
1. Cloud foundations & multi-cloud architecture: own and evolve Alan’s cloud footprint, Infrastructure-as-Code stack (Terraform, Terramate), and the architectural decisions enabling international expansion.
2. Data & application platforms: operate and evolve the foundations product crews build on: PostgreSQL/Aurora, our events pipeline, async workloads, and database migration tooling, without leaking complexity into product code.
3. Reliability, observability & on-call: own Alan's platform uptime and latency SLOs end-to-end. Evolve our observability stack (Datadog), the incident response process (Incident.io http://Incident.io), and the shared on-call rotation across the area to keep it sustainable as we scale.
4. Governance & compliance enablement and FinOps: own the cross-cutting concerns no single domain holds, infrastructure cost (FinOps), IAM posture, backup and disaster recovery, exit strategy, with automation and reporting that scales beyond the crew.
5. AI-augmented infrastructure operations: make AI assistants a first-class citizen for incident investigation, runbook execution, and toil reduction, so engineers spend their time on high-leverage work.
👀 Focus for 2026:
In 2026, we're growing the team significantly to step up impact across four bets:
- Multi-cloud expansion: revisit our cloud strategy as we go international, and launch new geographies.
- Decoupling for scale: evolve service architecture to carry Alan 2.0 from 1M members today to 10M.
- Operational excellence: raise the quality bar end-to-end by overhauling observability, on-call, and cost management practices.
- AI-augmented infra ops: make AI assistants a first-class part of investigation, troubleshooting, and toil reduction, so engineers spend time where leverage is highest.
⭐ IS IT YOU WE’RE LOOKING FOR?
EXPERIENCE WE VALUE
- 3+ years in Platform engineering, DevOps, Site reliability engineering or equivalent roles.
- You have strong experience with cloud platforms (especially AWS or GCP).
- You're comfortable writing code for automation and tooling (e.g. API, internal command line, developer portal) and willing to work in Python/Typescript (but you don’t need to have experience with those 2 languages!).
- You have touched observability, monitoring, alerting or incident management tools and practices.
- You are able to design and implement robust infrastructure systems with a focus on reliability and observability.
- You can maintain our uptime targets while optimizing infrastructure costs.
- You’ve built and maintained internal or external tooling (e.g. API, web interface, internal command line, configuration as code, etc) for other engineers.
MINDSET WE VALUE
- You treat infrastructure and platform engineering as product work: engineers & members are your customers, and infrastructure should feel effortless.
- You’re hands-on: writing code is the bulk of the job (Python, TypeScript, Terraform). You ship what you write to production yourself, then operate it: rollouts, alerting, on-call, incident response.
- You're an enabler: you measure your impact by how fast product crews ship features without ever consulting you. The harder you've worked, the less they have to engage you.
- You build reusable patterns: guardrails, libraries, and reliable-by-default abstractions that prevent outages and runaway cost at scale.
- You’re fluent in English (French is not required).
For this opportunity, we are aiming to hire above C1 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
#LI-DNP
Задачи:
- Разрабатывать и развивать frontend на React / Next.js, реализовывать интерфейсы по Figma с TailwindCSS
- Строить мультидоменную и мультивитринную архитектуру, конфигурационный подход для storefront
- Интегрировать frontend с backend на Django через REST API, работать с платёжными и subscription API, webhook-события
- Реализовывать ключевые страницы: Landing, Pricing, Checkout, Login, My Account; GEO-зависимый контент
- Оптимизировать Core Web Vitals, обеспечивать SEO и кроссбраузерность
Требования:
- От 3 лет коммерческого опыта с React, уверенное знание Next.js и TypeScript, опыт с TailwindCSS
- Уверенная работа с REST API, опыт интеграции frontend с backend на Django
- Опыт с SSR / SSG, понимание routing и middleware в Next.js
- Понимание принципов multi-tenant / multi-domain архитектуры, feature flags
- Будет плюсом: интеграция с платёжными системами, recurring payments, финтех
Условия:
- График: 5/2 с 10 до 18, отпуск 21 день, оплачиваемый больничный
- Формат работы: удалённо
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: United Kingdom (Remote); United Kingdom (Hybrid)
Workplace: Remote
Most money apps talk at you. Cleo talks back ✨
We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance.
The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.
We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.
Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥
MEET THE TEAM
Here at Cleo, we have ~200 Engineers organised into Pillars ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development and growth.
ABOUT THE ROLE
We're hiring Senior Backend Engineers to join one of our cross-functional product squads - working closely with other engineers, designers, analysts, and product partners to build features that improve our users' financial health.
We care far more about how you think than which language you've used before. Much of our product runs on Ruby today, but we deliberately hire polyglot engineers: if you've shipped meaningful product work in any modern stack, you'll ramp quickly here.
Key responsibilities for this role include:
- Shape the direction of upcoming work - break down ambiguous problems with your squad and help drive projects from early discovery through to shipped impact
- Build and evolve the APIs, data models, and business logic behind our product; no Ruby experience required, just strong fundamentals and sound judgement on trade-offs
- Contribute to testing, observability, and experimentation, and help continuously raise the bar on developer experience and product quality
- Drive high-impact initiatives such as our secured credit card, budgeting and financial insight features, and subscription/pricing experiments
- Mentor engineers at your level and beyond, share knowledge generously, and help build a culture where people grow quickly and have real influence
WHAT WE'RE LOOKING FOR
- An experienced engineer with solid fundamentals, having worked across any modern tech stack - the specific language matters less than your ability to reason clearly, learn quickly, and think in trade-offs
- A track record of writing maintainable, thoughtful code and making sound technical decisions with minimal oversight
- Comfortable working with Ruby, or confident you can ramp up quickly in it - deep Ruby experience isn't required
- Strong collaboration skills with product, design, and data partners, with genuine curiosity about users and their problems
- Experience mentoring or raising the bar for engineers around you, and contributing positively to team culture
- Motivated by Cleo's mission - you care about building products that genuinely improve people's financial health
- Alignment with our engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles - autonomy, accountability, pragmatism, and building things that matter
WHAT WE OFFER
We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.
For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈
WHAT MATTERS
Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.
We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.
We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Pro Verifications team decides whether a business signing up on the Pro side is who it says it is, and whether we're allowed to onboard it. That means figuring out who actually owns the business, running it against sanctions and watchlists, and doing all of it fast enough that a real customer doesn't lose patience and leave. Every Pro customer hits these systems, so slow or wrong is very visible — and the team is early, which means whoever joins gets to decide how a lot of it works instead of inheriting it.
How We Work
- We deploy constantly, almost always behind a flag, in pieces small enough to pull back fast.
- Security and compliance show up at design time, not as a gate at the end.
- Every story is tied to a metric it's meant to move — if work isn't on the board, it doesn't get staffed.
- At this level, you're expected to shape these standards, not just work inside them.
THE OPPORTUNITY
As a Staff Engineer on Pro Verifications, you'll own the technical direction for how verification is built here — the architecture, the patterns other engineers work inside, and the calls about what we own versus what we lean on a vendor for. You'll be hands-on across the stack, drive out entire classes of recurring failure rather than patching them one at a time, and design the fail-closed and audit behavior that keeps regulators satisfied.
This is a high-impact, hands-on technical leadership role for engineers who've built where being wrong has real consequences, and who want to shape a system that stays fast, safe, and defensible as it grows.
- Set the shape of the verification services and their contracts across the KYC/KYB flow.
- Decide how we abstract KYC and KYB vendors so a bad provider day doesn't turn into an outage.
- Design fail-closed behavior and audit trails that hold up under regulatory scrutiny.
- Identify the classes of failure that keep recurring and remove them for good.
- Write and drive architecture decisions (ADRs), and hold the line on security and compliance at design time, not as a late gate.
- Mentor and raise the bar for senior engineers through design reviews, code, and direct feedback.
- Be measured on whether verification gets faster, more of it decides itself, fewer decisions are wrong, and the systems stay up — and on whether the team got stronger for you being on it.
WHAT YOU BRING
- Around eight years building and running production systems, with a track record of owning a domain's technical direction, not just delivering inside one.
- Deep, fluent expertise in Rust, with the versatility to work across TypeScript and React where verification meets the customer.
- You've set architecture other people build on, and it held up — you can point to specific classes of failure you designed out, not just incidents you fixed.
- You've made teams faster through patterns, tooling, or mentoring — engineers around you got better and shipped more because of calls you made.
- You've built where being wrong had real consequences: compliance, payments, security, or anywhere a bad call costs more than a rough user experience.
- Strong on distributed systems, service contracts, and secure design — you've integrated third-party APIs that couldn't be trusted, with real timeouts, retries, idempotency, circuit breakers, and backup paths that actually get tested.
- Comfortable with, or able to quickly ramp on, gRPC, Temporal, Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, and GitLab CI.
NICE TO HAVES
- Direct experience with KYC, KYB, or fraud work, including integrating providers like Trulioo, Persona, or ComplyAdvantage.
- Comfort building with AI in the loop.
- Time spent in crypto, fintech, or another space regulators pay close attention to.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
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Location: Spain
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Задачи:
— разработка интерфейсов по макетам
— написание нового функционала
— развитие дизайн-системы
— поддержание чистого кода, performance, 60 fps и a11y
Требования:
— 4+ лет опыта во frontend-разработке
— уверенный JS & TypeScript
— понимание работы браузеров (event loop, async/await и т.д.)
— опыт оптимизации и рефакторинга кода
— React и экосистема
— будет плюсом: опыт e2e/unit тестирования (Jest, Cypress), опыт с i18n
ГибридseniorАстана; Опыт CPU-only inference оптимизации
Location: United States
As a Blockchain Engineer at Ondo, you will help design our smart contract systems - not just the contracts themselves, but how they're deployed, secured, monitored, and managed across their entire lifetime, and how they connect to the people and products that depend on them.
You'll design secure, efficient, and scalable smart contract solutions across many blockchain ecosystems powering Real World Asset (RWA) tokenization. But the harder and more important part of this role is everything around the contract: keeping it secure from deploy through every day it's live, building tooling that lets non-technical teammates safely view and manage on-chain state, and creating automated systems that take manual, error-prone work off the table.
You'll think about how a smart contract design decision ripples outward, to the web app, to the teams operating the system day to day, and ultimately to our end users. You'll collaborate with product, legal, compliance, web, and ops to make sure contracts are technically sound, regulatorily aligned, and genuinely operable by the teams who rely on them day to day. Throughout, you'll favor simple, elegant designs that let us move quickly and safely.
This is a unique opportunity to shape the future of finance by building the systems that bring real-world assets on-chain, and by making those systems something a whole organization can build on with confidence.
Responsibilities
Smart Contract System Design
: Contribute to the architecture of smart contract systems for Ondo's evolving product suite — covering new chain deployments, novel DeFi interoperability and bridging solutions, and DeFi protocols — with security, operability, and long-term maintainability designed in from the start.
Lifecycle Security & Operations:
Help ensure contract security not just at deploy but across the full lifetime of the system — including upgrade safety, administrative controls, and the operational guardrails that keep things safe as they evolve.
Tooling & Automation:
Build tooling and automated systems that let non-technical teammates safely view, monitor, and manage contracts without writing scripts or touching raw chain operations directly.
Cross-Functional Integration:
Connect smart contract design to the rest of the product — helping the web team integrate cleanly, helping operational teams monitor and manage without direct scripting, and ensuring design decisions flow sensibly through to end users.
Collaborative Execution:
Work closely with senior engineers and leadership on high-impact blockchain projects, contributing sound technical decisions aligned with long-term goals.
Requirements
Based in PT, MT, CT, or ET time zones.
Excellent technical and non-technical communication skills, verbal and written.
Bachelor's degree in Computer Science, Engineering, or a related technical field.
3+ years of software engineering experience.
1+ years in blockchain engineering, ideally from another DeFi protocol live on multiple chains.
Strong competency with Solidity; exposure to non-EVM smart contract languages a plus — particularly Solana.
Demonstrated ability to design
systems
, not just contracts — including tooling, automation, security across the contract lifecycle, and the integration points between contracts, applications, and operational teams.
Proven results building and scaling a DeFi protocol.
Python and/or TypeScript experience preferred (for building tooling and automation).
Strong technical grasp and excellent judgment on task prioritization.
Strong emphasis on understanding the "why" behind requirements and a commitment to defining the "minimum scope."
What we offer
Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Требования:
• 5+ лет коммерческого опыта с Node.js / JavaScript
• 1+ год с TypeScript
• Опыт работы с REST APIs и GraphQL
• Оптимизация производительности, отладка и мониторинг
• Docker и Kubernetes
• Kafka / очереди сообщений
• JWT / OAuth / SSO
• CI/CD и распределённые системы
• Опыт в банковской сфере / FinTech является преимуществом
• Английский — уровень B2+
Условия:
• Работа в офисе в Дубае (Nad Al Sheba), полный рабочий день
• Поддержка релокации
• Медицинская страховка
ОфисseniorDubai; 🎁 Relocation support + Medical insurance
УдалённоNo matter what, working hours must overlap with EST for at least 20 hours/week
УдалённоUnited Kingdom (Remote); United Kingdom (Hybrid)
УдалённоBrazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; Czech Republic; Estonia; Hungary; Mexico; Chile; Poland; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorSpain
United States; Based in PT, MT, CT, or ET time zones
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