Бэкенд вакансии

Компания Компэл развивает B2B marketplace для глобального рынка микроэлектроники и ищет Python-разработчика для работы над новым масштабируемым продуктом и поддержкой существующих сервисов. Задачи: — Решать сложные инженерные задачи: создавать отказоустойчивые микросервисы и реализовывать сложные бизнес-процессы; — Проектировать и реализовывать архитектуру нового продукта с чистого листа; — Принимать ключевые решения вместе с командой и архитекторами; — Развивать кодовую базу: рефакторить и улучшать существующие сервисы; — Использовать лучшие инженерные практики (TDD, Clean Architecture) в ежедневной работе. Требования: — Глубокий коммерческий опыт разработки на Python не менее 4 лет; — Архитектурное мышление, опыт принятия ключевых архитектурных решений; — Опыт развития ETL-процессов и улучшения устойчивости системы; — Знание современных практик разработки: TDD, Clean Architecture/DDD, CI/CD. Условия: — Возможность удаленной работы практически из любой точки мира, опционально офис в Москве или Санкт-Петербурге; — График 5/2, возможность гибкого начала рабочего дня; — Официальное оформление по ТК РФ; — ДМС с возможностью оформления страховки для родственников; — Конкурентный уровень заработной платы в зависимости от квалификации.

Требования: — Практический опыт работы с Pega Customer Decision Hub (CDH) и решениями Real-Time Interaction Management — Обязательная сертификация Pega Certified Lead System Architect (CLSA) — Опыт работы с Pega PRPC разработкой не менее 5 лет, включая минимум 2 года в роли Lead System Architect — Глубокие знания архитектуры приложений Pega, управления кейсами и интеграций — Опыт работы с Agile методологиями и практиками DevOps — Опыт разработки на Node.js будет преимуществом Условия: — Конкурентная компенсация — Поддержка при переезде в Дубай — Медицинская страховка — Международная и совместная рабочая среда

Проект: Vault — крипто-дружественный full-cycle white label продукт на стыке банковских и криптовалютных решений для B2B2C-клиентов, позволяющий бизнесу экономить время и деньги, исключая необходимость работать с множеством поставщиков и получать отдельные лицензии. Задачи: — End-to-end разработка backend-сервисов на Kotlin, включая архитектуру и деплой. — Самостоятельное написание манифестов для Kubernetes и Helm-чартов, управление инфраструктурой. — Использование Kotlin Coroutines и моделей асинхронности для создания высокопроизводительных систем. — Настройка мониторинга, определение ключевых метрик для обеспечения надежности и прозрачности системы. — Проектирование распределенных систем с использованием Kafka, PostgreSQL и Redis в event-driven и cloud-native подходах. — Менторство, участие в код-ревью и развитие инженерной культуры ответственности за результат. Технический стек: — Языки: Kotlin (основной), рассматриваются Senior Java разработчики, готовые перейти на Kotlin. — Технологии: Spring Boot, Kafka, PostgreSQL, Redis. — Инфраструктура: AWS (EKS, Lambda, S3, RDS), Docker, Kubernetes, Helm. Требования: — Опыт разработки на JVM 5+ лет, свободное владение Kotlin или экспертный уровень Java с готовностью перейти на Kotlin. — Понимание, что задача не завершена, пока сервис стабильно работает в продакшене, интерес к профилированию и внутренностям рантайма. — Практический опыт контейнеризации (Docker) и оркестрации (Kubernetes), желание самостоятельно управлять инфраструктурой. — Знание моделей конкурентности, CAP-теоремы, ACID, SOLID и паттернов проектирования распределенных систем. — Опыт оптимизации PostgreSQL (индексы, планы запросов) и понимание стратегий кэширования в Redis. — Высокая степень ответственности, готовность разбираться в причинах сбоев и настраивать алерты. Условия: — Конкурентная оплата с выплатами в криптовалюте. — Полностью удалённая работа. — Гибкий график, акцент на качестве выполнения задач, а не на количестве отработанных часов.

Задачи: • Ручное и авто тестирование в соотношении 70 на 30 (frontend и backend 70/30 соответственно), тестирование хранилищ данных - сначала ручного будет 90/10 к авто; • Тестирование документации; • Составление и актуализация тестовой документации; • Поддержка и развитие автотестов Стек: Front: JS+React Back: Python БД: Postgre Требования: • Опыт работы более 4х лет; • Опыт в финтехе/инвестициях; • Опыт работы по Agile (Kanban, Scrum); • Опыт разработки автотестов; • Уверенные знания видов тестирования; • Практический опыт применения техник тест-дизайна; • Практический опыт тестирования frontend и backend; опыт тестирования backend критичен; • Опыт практического использования PyTest, Playwright, Requests; • Практический опыт тестирования интеграций; • Опыт автоматизированного тестирования на Python; • Практический опыт работы с Postman и снифферами (продвинутый уровень); • Навыки работы с TMS-системами, GitLab, Jira (или аналоги), SQL, DevTools; • Базовые навыки разработки автотестов на Python (REST/UI) или знание Java core; • Опыт тестирования микросервисной архитектуры Будет плюсом: - Опыт в финтехе/инвестициях на последнем месте; - Опыт внедрения автоматизации с нуля;

Требования: - Python 3 - FastAPI или Django/Flask - Опыт работы с Git Обязанности: - Разработка веб-приложений на Python - Работа с REST API - Взаимодействие с базами данных - Подключение сторонних сервисов - Написание чистого кода и тестирование Условия: - Удаленная работа - График 5/2 с 10:00 до 18:00 - Agile/SCRUM для постановки задач - Участие в интересных проектах - Индивидуальное обсуждение заработной платы

Требования: - Уверенные базовые знания Go - Понимание RestAPI и gRPC - Опыт написания серверов на Go - Минимальные знания SQL - Представление о базах данных - Работа с Git - Понимание клиент-серверного взаимодействия - Желание учиться и развиваться Обязанности: - Разработка веб-приложений на Golang - Работа с RestAPI и gRPC - Взаимодействие с базами данных - Подключение сторонних сервисов - Написание чистого кода и тестирование Условия: - Удаленная работа - График 5/2 с 10:00 до 18:00 - Agile/SCRUM для постановки задач - Участие в интересных проектах - Индивидуальное обсуждение заработной платы

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Compliance team's primary objective is to ensure that OKX operates in accordance with regulatory requirements while maintaining the highest ethical and moral standards. The team owns the full compliance engineering stack: KYC onboarding and refresh, sanctions / PEP / adverse-media screening, transaction monitoring (TM) and travel-rule enforcement, case management, and regulatory reporting. We achieve this by developing compliance service solutions, integrating with KYC & AML vendors, and enabling robust business growth, which ultimately strengthens user trust in our platform. Our ultimate goal is to create a culture of compliance excellence, where innovation and responsible business practices are seamlessly integrated. In compliance, a system that is mostly right is wrong — so every control we build must be deterministic in its enforcement, complete in its coverage, and explainable in its outcome. What You’ll Be Doing Formulate, select, and develop technical schemes for platform projects across the compliance domain — KYC onboarding flows, identity verification and refresh, sanctions / PEP / adverse-media screening, transaction monitoring, travel-rule, case management, and regulatory reporting — including AI/ML-powered features such as intelligent screening disambiguation, document verification, anomaly detection, automated risk scoring, and analyst-assist agents. Organize and coordinate resources, leading project research and development, troubleshoot problems, and ensure quality and timely completion — including delivery of AI model integration work within KYC, screening, and monitoring workflows. Facilitate cross-team communication and promote teamwork efficiency through code quality control and collaboration, including partnering with Data Science, Risk, and Legal to productionize models and ensure reliable, auditable inference infrastructure. Define where probabilistic AI is appropriate versus where deterministic logic is mandatory — and design the boundary cleanly so models assist without compromising auditability or enforcement integrity. Undertake team tasks and cultivate technical talents in the industry, with a focus on building AI engineering best practices across the compliance engineering team — patterns for agentic coding, prompt libraries, eval suites, and human-in-the-loop review of AI-generated work in a regulated environment. What We Look For In You A compliance-first systems mindset — you instinctively reach for state machines, idempotency keys, exactly-once semantics, reconciliation jobs and immutable audit logs. You understand that in compliance, false negatives cost millions and false positives cost trust, and you design accordingly. Prior experience in KYC, AML, sanctions, fraud, or payments is a strong plus; experience surviving a regulatory audit is an even stronger plus. Daily, fluent use of modern AI coding tools — Claude Code, Cursor, GitHub Copilot, Codex CLI, or equivalents. You can describe the specific workflows you run, the failure modes you have hit, and the guardrails you have built around AI-generated code. AI fluency is required, not nice-to-have. Production experience integrating AI/ML model inference into Java services — REST/gRPC-based model serving, feature engineering pipelines, latency-sensitive inference optimization, graceful degradation, and drift / rollback playbooks. Hands-on experience with LLM application patterns — at least one of: RAG pipelines (vector store + retrieval + grounding) for policy / KYC / case lookup, agentic workflows (tool use, multi-step reasoning, validation loops) for analyst assistance, or LLM-based classification / extraction shipped to production. Discipline around AI output — you do not ship LLM features without evals, hallucination tests, prompt regression suites, and human-in-the-loop review for high-stakes decisions. You have an opinion on when to reach for a frontier model vs. a fine-tuned small model vs. a deterministic rule, and can defend that trade-off to a regulator. Exposure to LLM integration or AI agent frameworks is a strong plus — e.g. prompt engineering at the system level, RAG pipelines, or orchestrating AI workflows within a regulated environment. Good understanding of software engineering basics, distributed system principles, including CAP, consistency, idempotency, and exactly-once vs at-least-once semantics. Clear logic, quick thinking, and good communication skills — including the ability to write clearly for non-engineers (compliance officers, auditors, regulators). AI Proficiency Expectations & Interview Process AI fluency is a required engineering competency for this role, on the same level as ‘can write good Java’. We will assess it explicitly during the interview, and a strong showing here is a meaningful plus: AI-augmented workflow demo — walk us through how you use AI tools day-to-day. The prompts, the tasks you delegate to an agent vs. write yourself, how you review AI-generated diffs, and how you measure the impact (commit velocity, defect rate, test coverage). Concrete examples beat slogans. Live agentic exercise — a working session using the AI coding agent of your choice on a realistic compliance-flavoured problem. We look at how you scope, prompt, validate, and integrate AI output, not whether the agent gets it right first try. Design discussion with a probabilistic twist — expect at least one system-design question where the right answer involves deciding when not to use an LLM, and how to design the deterministic fallback. We hire engineers who can defend that boundary. Evaluation & guardrails — be ready to discuss an eval suite or guardrail you have built for an AI feature in production (e.g. an LLM-assisted SAR narrative drafting tool, an AI-assisted KYC document review step, or screening-hit disambiguation). If you have not shipped one, tell us how you would design it. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development — including budget for AI tools, courses, and conferences Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Задачи: — Проектирование и реализация микросервисов с нуля. — Решение задач конкурентного доступа (race conditions, балансы, одновременные покупки). — Глубокая оптимизация PostgreSQL, работа со сложными запросами и уровнями изоляции. — Написание тестов всех уровней (Unit, Integration с Test containers, E2E). — Использование AI-ассистентов для ускорения рутины и критическая оценка их кода. Требования: — 5+ лет в бэкенде. — Глубокое понимание Event Loop, libuv, потоков и профилирования памяти. — Реальный опыт с NestJS (DI, Guards, Interceptors, Pipes, микросервисные транспорты). — Практическое понимание уровней изоляции транзакций в PostgreSQL. — Опыт работы с AI-инструментами Cursor, Copilot, Claude или ChatGPT. Будет плюсом: — Опыт в сферах Gaming, E-commerce, HFT или Fintech. — Работа с платежными сервисами и банковскими системами. Условия: — Стабильная оплата в USDT с привязкой к твердой валюте. — Долгосрочный и устойчивый проект с прозрачными целями. — Полностью удалённая работа из любой точки в часовом поясе GMT+3. — Минимум бюрократии, максимум инженерных вызовов и современных инструментов.

Задачи: — Продуктизация ML-моделей и пайплайнов — Интеграция моделей в backend и бизнес-контуры — Разработка API и сервисов для ML — Работа со стримингом данных (Kafka) — Участие в RnD и пилотировании новых ML-решений Требования: — Опыт разработки на Python от 3–4 лет — Высшее образование (законченное) — Опыт работы с ML-проектами (CV, NLP, RAG) — Опыт разработки REST API (FastAPI / Flask) — Опыт работы с Kafka — Понимание микросервисной архитектуры и сетевого взаимодействия — Базовое понимание Kubernetes — Опыт работы с SQL на среднем уровне — Умение работать с кодом Data Science и адаптировать его под production Будет плюсом: — Опыт работы с Airflow — Опыт работы с Hadoop / Spark Условия: — ДМС со стоматологией — Компенсация фитнеса — Скидки на курсы английского (Skyeng) и в кино — Индексация зарплаты — Современная техника для работы — IT-аккредитация

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Ramp is building an AI-native platform that changes how Go-to-Market and Product Growth teams create, launch, and improve customer-facing experiences. We are looking for a product-minded backend engineer to help build the infrastructure and services that power modern growth and marketing at Ramp. The next chapter for this team is to build marketing-led products: intelligent tools that turn strategy into execution, automate complex workflows, and help teams operate across channels with dramatically more leverage. The team will build across creative production, lifecycle marketing, paid media, account-based marketing, experimentation, incentives, and cross-channel orchestration. Examples include AI-powered systems that produce on-brand campaign assets, automate complex marketing workflows, coordinate audiences and execution, and deliver personalized experiences across email, sales outreach, external channels, and Ramp’s product. A core part of this mandate is Ramp’s incentives platform. We are building shared infrastructure to safely target, authorize, distribute, redeem, and measure incentives across channels and mediums—including in-app experiences tied to product adoption and growth goals. This requires combining marketer-friendly workflows with governed policies, budget controls, reliable financial operations, and closed-loop measurement. You will work at the intersection of product engineering, AI, data, marketing, and financial infrastructure. The ideal candidate is a product-minded backend engineer who can translate ambiguous workflows into durable systems. You will build the data models, APIs, integrations, and orchestration capabilities that allow marketers, product teams, and AI agents to safely execute complex work end to end. WHAT YOU’LL DO - Build the backend systems that power AI-native marketing and growth products across creative production, experimentation, incentives, and cross-channel orchestration. - Build shared incentives infrastructure for eligibility, targeting, policies, budgets, authorization, issuance, redemption, and outcome tracking. - Enable personalized content and offers across email, sales workflows, external channels, and in-product experiences using shared customer and campaign context. - Design reliable orchestration for long-running work, approvals, scheduling, retries, human intervention, and safe AI or financial execution. - Connect marketing actions and incentive spend to measurable activation, conversion, retention, and revenue outcomes. - Partner across Marketing, Product Growth, Product, Data Science, Finance, and GTM Platform to own systems from early discovery through production adoption and iteration. WHAT YOU NEED - 5+ years of software engineering experience building production backend systems, with strong proficiency in Python or another modern server-side language. - A track record of owning production services, APIs, data models, and distributed or event-driven workflows. - Strong product judgment and system-design fundamentals, including data modeling, asynchronous processing, reliability, testing, and observability. - Experience building governed systems involving permissions, policies, budgets, balances, entitlements, or financial actions. - Experience applying AI to real product workflows—or strong interest in doing so—with an understanding of where deterministic controls and human approval are required. - Excellent cross-functional communication and a bias toward rapidly shipping measurable user and business outcomes. NICE TO HAVES - Experience building incentive, rewards, promotion, loyalty, payments, ledger, or financial-authorization systems. - Experience building workflow engines, automation platforms, agent systems, or orchestration infrastructure. - Experience with lifecycle marketing, product growth, paid media, experimentation, CRM, or other marketing technology. - Experience designing human-in-the-loop AI systems, including approvals, evaluations, tool execution, and recovery. - Experience with customer-data platforms, identity systems, behavioral event streams, or analytical data infrastructure. - Experience building experimentation or attribution systems that connect interventions to customer and business outcomes. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Serbia Workplace: remote ABOUT YOU We are seeking a visionary Staff Software Engineer – Identity & Access Management to architect, build, and scale the foundational security layer of our global ecosystem. In this role, you will take full ownership of our authentication and authorization infrastructure, ensuring that millions of users can securely interact with our services. Working at the intersection of security, platform stability, and developer experience, you will lead the design of mission-critical systems—from identity federation and complex token lifecycles to fine-grained access control models. This is a high-impact position for an engineer who excels in the Golang ecosystem and thrives on the complexity of high-stakes security systems. You aren’t just implementing protocols; you are building a resilient, multi-tenant identity fabric that supports everything from global gaming integrations to sophisticated SaaS architectures. If you have a deep-seated passion for data privacy, a "security-first" mindset, and the technical depth to navigate the nuances of OAuth 2.0, OIDC, and beyond, you will find a home here.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers reach more players and grow their businesses around the world. For more information, visit xsolla.com. QUALIFICATIONS & SKILLS Core Engineering Excellence Decade of Experience: 10+ years in backend or systems engineering, with at least 5 years dedicated to the Identity & Access Management (IAM) domain. Golang Mastery: Expert-level proficiency in Go, with a track record of building high-performance, concurrent, and scalable distributed systems. Cloud-Native Mindset: Proven experience deploying and managing services within Kubernetes environments (AWS or GCP). Identity & Security Deep-Dive Auth Protocols: Deep architectural understanding of OAuth 2.0, OIDC, JWT , and SCIM . Lifecycle Management: Hands-on experience with identity federation, sophisticated token management, and complex access control flows. Security First: Strong grasp of modern security best practices, encryption standards, and secure coding principles. BONUS POINTS Advanced Auth Models: Experience implementing fine-grained access control such as ReBAC, ABAC , or utilizing Open Policy Agent (OPA) . Ecosystem Knowledge: Familiarity with industry-leading identity providers and frameworks like Ory (Kratos/Keto), Keycloak, Auth0 , or ForgeRock . Scale & Architecture: Background in building multi-tenant architectures, specifically for global SaaS platforms or large-scale Gaming ecosystems. Community Footprint: Active contributions to Open Source Golang projects or security-focused libraries. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com    Explore more opportunities at: https://xsolla.com/careers

Location: Poland; Portugal; Ireland; Germany Workplace: Remote Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for a Senior Product Engineer who takes pride in pushing boundaries, obsesses over details, and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Use your strong expertise in TypeScript/Node.js/GCP to move the company and product forward - Lead projects end-to-end to solve real customer problems - Architect the systems which power new features to support our high standards of performance, reliability, security and scale, and re-architect existing systems as their scaling demands grow - Design REST API contracts for both internal and external consumers that are easy to work with - Represent Attio’s Product & Engineering values both internally and externally WHAT YOU'LL BRING - Experience designing scalable, reliable, secure backend systems - Excellent knowledge of modern Cloud Native systems architecture - Expertise with Node.js and TypeScript - A track record of ownership and product delivery - A proactive, self-motivated problem solving attitude, with a strong passion for advancing and innovating in distributed systems - The ability to communicate technical ideas to the wider team and influence stakeholders across Engineering, Product and Design Nice to have: - Experience contributing to, or participating in open source projects - An interest or experience in mentoring other members of the team - Experience working with data-rich backend applications, or processing large volumes of real-time data - A love for experimenting with new ideas, tools and techniques, and exploring new technologies WHAT WE OFFER - Equity in an early-stage tech company on an incredible trajectory - Apple hardware - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) - Location specific benefits   nb. We are open to candidates currently living in: Poland, Germany, Portugal, Ireland

Location: London Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless - all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re looking for a Senior Product Engineer who takes pride in pushing boundaries, obsesses over details, and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Use your strong expertise in TypeScript/Node.js/GCP to move the company and product forward - Lead projects end-to-end to solve real customer problems - Architect the systems which power new features to support our high standards of performance, reliability, security and scale, and re-architect existing systems as their scaling demands grow - Design REST API contracts for both internal and external consumers that are easy to work with - Represent Attio’s Product & Engineering values both internally and externally WHAT YOU'LL BRING - Experience designing scalable, reliable, secure backend systems - Excellent knowledge of modern Cloud Native systems architecture - Expertise with Node.js and TypeScript - A track record of ownership and product delivery - A proactive, self-motivated problem solving attitude, with a strong passion for advancing and innovating in distributed systems - The ability to communicate technical ideas to the wider team and influence stakeholders across Engineering, Product and Design Nice to have: - Experience contributing to, or participating in open source projects - An interest or experience in mentoring other members of the team - Experience working with data-rich backend applications, or processing large volumes of real-time data - A love for experimenting with new ideas, tools and techniques, and exploring new technologies WHAT WE OFFER - Competitive salary of £95,000 to £125,000 - Equity in an early-stage tech company on an incredible trajectory - 25 days holiday plus local public holidays - Apple hardware - Private medical insurance through AXA - Pension contribution through Hargreaves Lansdown - Enhanced family leave - Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

Location: Americas Remote Hi, I'm Brian, Senior Director of Engineering at Customer.io. We're looking for experienced engineers who want to own a channel end to end — from the infrastructure that delivers billions of messages reliably, to the product surfaces our customers use to build, send, and analyze their campaigns. You'll work across the stack, bringing both systems thinking and product craft to one of the most technically rich problem spaces in the industry. You don't need email experience to apply. We can teach you the email domain. The engineers who thrive here are the ones who love learning a deep problem space, not only the ones who arrive already knowing it. About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. Under the hood: Go, React, Ember and AI help us ship fast and scale with confidence. What We Value Ownership You own problems end to end. You move fast, act like an owner, and thrive in ambiguity. You've led complex projects before, whether officially or not, and you're ready to do it again. Engineers with product taste You think like a user, not just an engineer. You care how your systems power real customer value — and how to make them better. A healthy skepticism for "the way things are done" You bring rigor and creativity. Best practices matter — but never more than forward motion. What You'll Do Build and evolve the frontend experiences customers use to create, preview, and analyze campaigns — editors, configuration, and analytics dashboards Design and scale backend systems that process high volumes of messages and events: queue management, retry logic, rate limiting, and real-time event pipelines Build automated systems that respond intelligently to feedback signals from external providers — classification, suppression, throttling, and health scoring Partner with in-house domain experts to turn their knowledge into automated tooling — you bring the systems skills, they bring the email depth Instrument and monitor channel health end to end: signal detection, anomaly alerting, and observability Own problems end to end — from architecture and schema design to testing, deployment, and monitoring Participate in an on-call rotation as required, supporting the reliability of the systems you build Share knowledge and raise the bar through short videos, thoughtful writing, and mentorship Use AI agents to make multi-file changes by scoping the work, writing the prompt, and verifying the output What We're Looking For 7+ years of experience building scalable, distributed systems in Go (or similar statically typed languages) Experience building product-facing frontend features in React or similar frameworks, with attention to UX quality and polish Experience building or consuming APIs that handle high-throughput async workloads — event streams, queues, and systems that degrade gracefully under load Comfort integrating with external systems you don't control — third-party APIs, rate limits, opaque failure modes — and designing for resilience around them Comfort working in cloud-native environments (AWS, GCP) Familiarity with relational databases (we use MySQL primarily) and an understanding of performance tradeoffs Experience with observability tooling and operating production systems A bias for action over perfection, and pride in owning technical decisions Nice to have: Familiarity with email infrastructure — deliverability, authentication standards (SPF/DKIM/DMARC), sender reputation, or high-volume sending Compensation & Benefits We believe in transparency. Starting salary for this role is $150,000 - $200,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions — just a clear, human process designed to help both of us make an informed decision. Application — We review everyone with care. Tell us why you're interested. Recruiter Call (30 mins) — Let's chat about what you're looking for and how we work. Hiring Manager Interview (60 mins) - Talk with one of our hiring managers about your working style and a project you've owned end-to-end, plus a short AI-assisted coding exercise. Technical Interview (60 mins) — A collaborative system design conversation focused on scaling challenges. Take-Home Assignment — Complete a short, realistic task similar to what you'd work on here. Assignment Review Call (60 mins) — Walk us through your work and discuss tradeoffs, priorities, and how you'd iterate. Project Deep Dive (60 minutes: A focused conversation on a technical project you've owned end-to-end, and how you balance planned work against urgent, customer-impacting issues. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read and want to build software that makes communication better for everyone — apply now.

Задачи: — Настроить Claude Team на 5 пользователей с разделением проектов — Поднять Obsidian + Sync для команды — Развернуть VPS и автоматизацию: транскрипции из Plaud → правильные папки в Obsidian — Написать документацию для нетехнических пользователей Требования: — 2-5 лет опыта — Опыт интеграций с LLM API (OpenAI, Anthropic, YandexGPT и др.) — Опыт поднятия VPS и написания автоматизаций — Опыт с Obsidian приветствуется, но не обязателен Условия: — Разовый проект на 1-2 недели — Бюджет 60 000 — 120 000 ₽ фикс за проект — Оплата поэтапно: 30% аванс, 40% после настройки Claude и Obsidian, 30% после автоматизации Plaud — Удалённая работа — ГПХ или самозанятость Процесс: 1. Созвон с заказчиком (не технический специалист, проверка коммуникации) 2. Созвон с техническим консультантом 3. Договор и аванс