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Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Staff/Senior Java Engineer, OKX Wallet (Web3) Who We Are OKX Wallet is OKX's self-custody wallet, built for users worldwide to securely and conveniently store, manage, and use their on-chain assets. The wallet backend operates in a multi-chain, multi-asset, high-concurrency environment shaped by on-chain state uncertainty and strict fund-security requirements — combining the complex-systems challenges of traditional internet backends with the transaction, signing, and on-chain interaction problems unique to blockchain. We're looking for a Senior Java Engineer with roughly 5–10 years of backend experience: someone with strong engineering fundamentals who can independently own core modules, exercise sound judgment on complex problems, and proactively coordinate across upstream and downstream teams to drive work to completion. What You'll Do Own core wallet backend modules. Build and continuously improve address management, asset synchronization, transaction construction, broadcasting, on-chain confirmation, gas estimation, nonce management, and transaction-state tracking. Understand each module's role in the full wallet flow, and keep stability, performance, and maintainability front of mind. For complex requirements, break the problem down before choosing an implementation rather than stacking code or reusing old designs. Build transaction and on-chain interaction scenarios. Work on transfers, token approvals, contract interactions, cross-chain, swaps, DApp connections, and signature-request handling. Understand a transaction's full lifecycle — from initiation through construction, signing, broadcasting, on-chain confirmation, and final state update — and diagnose issues like stuck transactions, duplicate submissions, state inconsistencies, and on-chain success that isn't reflected in the business system, using logs, on-chain data, and call traces. Support multi-chain and new-chain integration. We already support EVM, Tron, and Solana, and continuously onboard new public chains, Layer 2 networks, and asset standards. Contribute to technical research, integration design, and feature development, accounting for differences in address models, account systems, transaction structures, signing methods, fees, and confirmation mechanisms — as well as node stability, asset sync, exception compensation, monitoring, and security boundaries. Ensure stable operation. Contribute to day-to-day stability work — monitoring, alerting, rate limiting, graceful degradation, retries, compensation, data reconciliation, and troubleshooting. When incidents occur, help investigate, narrow scope, and fix root causes; for recurring issues, drive systemic fixes such as added monitoring, stronger fallbacks, or design improvements. Drive your projects to delivery. Take ownership of the modules and projects you're responsible for. On work spanning product, QA, frontend, infrastructure, or other backend teams, proactively sync information, surface dependencies and risks, and drive issues to resolution. When requirements are unclear or opinions diverge, lay out the context, offer your own judgment, and help build consensus. Continuously raise engineering quality. Participate in design discussions, code reviews, and system optimization. Spot unreasonable designs, duplicated logic, and latent risks, and propose actionable improvements. Document technical decisions, post-incident learnings, and best practices, and help less-experienced teammates. Apply AI in daily development. Use AI coding tools (Claude Code, Cursor, Codex, etc.) to assist with code comprehension, scaffolding, unit tests, code review, troubleshooting, refactoring, and documentation — validating AI output for correctness, project conventions, performance, and security rather than using it unchecked. What We're Looking For Solid Java backend fundamentals. ~5–10 years of Java backend experience with a strong grasp of collections, concurrency, thread pools, the JVM, network communication, and common performance issues. Proficient with Spring Boot, Spring Cloud, MyBatis, or comparable stacks, able to independently design and build medium-to-large backend modules and reason about the mechanics behind the frameworks you use. Strong system design ability. Experience with complex or high-concurrency systems; comfortable with idempotency, retries, compensation, caching, message queues, distributed locks, data consistency, rate limiting, and service degradation. Able to own module- or service-level design and clearly explain the core flow, failure scenarios, and key trade-offs. Cognitive ability and judgment. Able to understand context and goals on ambiguous problems, separate symptom from root cause, and choose a fitting solution based on business value, user experience, stability, cost, and security — rather than reflexively adding complexity. Drive and ownership. Able to independently own a module or project end to end, from design through development, testing, and launch. Proactively communicates and resolves dependencies, risks, and blockers, and follows through on launch outcomes rather than stopping at code merge. Blockchain or wallet experience. Experience with wallets, blockchain, trading platforms, on-chain data services, or related systems. Understands addresses, public/private keys, mnemonics, transaction signing, broadcasting, on-chain confirmation, gas, and nonce; familiar with the transaction mechanics of at least one of EVM, Tron, or Solana, and with token standards such as ERC-20 and TRC-20. (Strong backend fundamentals and fast learning can offset gaps in blockchain coverage.) High security awareness. Sensitive to private-key, signing, permission, and user-asset security; familiar with replay protection, API authentication, tamper resistance, sensitive-data protection, and least-privilege principles. Actively considers malformed input, duplicate requests, privilege bypass, and data-leak risks when building transaction features. Independent production troubleshooting. Able to diagnose live issues via log analysis, metrics monitoring, distributed tracing, and thread/memory analysis; can form hypotheses and narrow scope even with incomplete information. Hands-on experience with performance degradation, timeouts, message backlogs, data inconsistencies, memory issues, or unstable third-party services. Engineering in the AI era. Willing to use AI coding tools to improve daily efficiency and able to judge whether AI output meets real business requirements before shipping it. Has a basic understanding of prompts, context management, RAG, AI agents, and MCP, or a genuine willingness to keep learning — treating AI as an engineering tool, not requiring an algorithm/model-training background. Nice to Have Integration work on new public chains, new asset standards, or cross-chain protocols Familiarity with WalletConnect, DApp Browser, or signature-request handling Knowledge of MPC, multisig, hardware wallets, or TEE-based key-security schemes Experience with Swap, staking, cross-chain bridges, or DeFi aggregation Address risk detection, allow/deny lists, anti-fraud, or wallet risk-control experience High-concurrency transaction systems, blockchain node services, on-chain data indexing, or transaction-state-tracking systems Familiarity with RPC calls, block scanning, chain reorgs, transaction compensation, and reconciliation mechanisms JVM performance tuning, stability governance, or complex production-incident experience Cross-team collaboration with a track record of driving projects to delivery Real projects built with AI — e.g. AI code review, development agents, MCP servers, intelligent troubleshooting, or knowledge bases Follows developments in AI coding assistants and LLM applications and shares practical takeaways with the team Perks & Benefits Competitive total compensation Comprehensive insurance coverage for you and your dependents More benefits to be discussed after you join 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 .

Обзор позиции и команды: Компания более 6 лет успешно работает на b2b рынке (продукты: ликвидити-провайдер, биржа и платежный сервис). Ищем опытного GO разработчика, который станет оунером домена в команде бэк-офиса (non-trading team). Команда отвечает за всё, что не связано напрямую с торговой платформой. В данный момент backend-блок ведут два инженера, вы станете третьим специалистом. Работа выстроена под управлением Product Owner с регулярными ежедневными синхронизациями. Задачи: — Развитие и систематизация бэк-офисного направления; — Решение задач, связанных с отчетностями, сверками, интеграциями и сопутствующей внутренней инфраструктурой. Требования: — Уверенный опыт работы на позиции Senior GO разработчика; — Практический опыт с Cross-border payments b2b; — Важен опыт работы с AI. Условия: — Гибкий график с хорошей организацией взаимодействия; — Оплачиваемые отпуска и больничные; — Глубокий и кастомный подход к фичам, доработкам и тестированию b2b продуктов; — Отсутствие бюрократии, горизонтальные связи; — Технически сильная senior команда с большой экспертизой в сфере трейдинга и криптовалют, которой готовы делиться.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. JOB SUMMARY We’re looking for a skilled React Native Developer to join our growing engineering team. In this role, you will be responsible for building cross-platform mobile applications that are robust, responsive, and scalable. You’ll collaborate with product managers, designers, and backend engineers to deliver high-quality mobile experiences that delight our users. RESPONSIBILITIES - Architect and Lead: Design, develop, and maintain complex, high-performance React Native applications for both iOS and Android, ensuring architectural integrity and scalability. - Cross-Platform Development: Drive the development of shared UI components and design systems that are consistent across our mobile and web applications, leveraging your expertise in React and related web technologies. - Technical Leadership: Provide technical guidance and mentorship to mid-level and junior engineers, fostering a culture of best practices, code quality, and continuous learning through code reviews, technical discussions, and knowledge sharing. - Full-Stack Collaboration: Work closely with backend engineers, product managers, and designers to define, build, and deliver end-to-end features. - Performance Optimization: Identify and resolve complex performance bottlenecks, ensuring optimal application responsiveness and user experience on both mobile and web. - Innovation & Research: Stay abreast of the latest industry trends, technologies, and best practices in mobile and web development, and advocate for their adoption where appropriate. - Problem Solving: Tackle challenging technical problems with innovative solutions, demonstrating a deep understanding of the entire software development lifecycle. REQUIREMENTS - Experience: 5+ years of professional experience in software development, with a strong focus on React Native for building production-grade mobile applications. - Technical Proficiency: Expert-level proficiency in JavaScript and TypeScript. Deep understanding of React, React Native, and their ecosystems. - Web Development: Demonstrated experience or strong understanding of web development principles and technologies. Ability to contribute to or understand web-based frontends is highly valued. - Architectural Thinking: Proven ability to design and implement scalable, maintainable, and testable software architectures. - Mobile Expertise: Solid understanding of mobile development best practices, UI/UX patterns, and platform-specific considerations for iOS and Android. - Problem-Solving: Exceptional analytical and problem-solving skills, with a track record of debugging and resolving complex technical issues. - Collaboration & Communication: Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and articulate technical concepts clearly. - Version Control: Proficient with Git and collaborative development workflows. BONUS POINTS IF YOU HAVE - Experience with Web3 technologies, blockchain, or decentralized applications. - Contributions to open-source projects. - Experience with automated testing frameworks for mobile and web. ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

О ПРОЕКТЕ: Совместно с компанией-партнером создаем профессиональную торговую платформу для ПК, веб-терминал и систему управления ордерами (OMS) для проп-трейдинговых компаний. Задачи: — backend-разработка на C# и .NET Требования: — Опыт backend-разработки на C# и .NET от 10 лет — Глубокое понимание алгоритмов и структур данных — Практический опыт работы с критически важными для производительности компонентами .NET: multithreading, memory/allocations, GC, Span/structs — Наличие профильного высшего образования (компьютерные науки, математика или смежные технические области) — Опыт работы в сфере торговли, финтеха, высокочастотной торговли или других системах с низкой задержкой/работы в реальном времени — Практический опыт принятия реальных архитектурных решений и обучения других разработчиков Софт-скиллы и специальные требования: — Свободное владение английским языком — устным и письменным (уровень B2 или выше для общения с командой) — Умение четко объяснять технические решения в ходе обсуждений с распределенной командой — Пересечение рабочего времени в течение как минимум 4 часов в интервале с 9:00 до 17:00 по североамериканскому восточному времени (EST) — Отличные аналитические способности и навыки решения проблем — Развитые коммуникативные навыки, умение работать самостоятельно и вести несколько задач одновременно Условия: — Удаленная работа по среднеевропейскому времени (CET), фултайм — Оформление по B2B контракту, проектная занятость на 6+ месяцев с возможностью последующего трудоустройства в штат заказчика — Почасовая оплата до 30$/час (по итогам интервью) — Готовность выйти в течение 3 недель Этапы и проверка данных: — Background check: проверка наличия судимости и правового статуса по месту нахождения — Интервью (3 этапа): техническое собеседование (2 часа) и собеседование с клиентом (2 этапа)

Задачи: — Управление полным жизненным циклом разработки функциональных возможностей: от брифинга и декомпозиции до релиза и анализа результатов. — Аудит существующих процессов и их оптимизация. — Разработка процессов с учетом специфики команды и продукта. — Организация рабочего пространства в системах Jira или ClickUp. — Настройка проектов, досок, статусов, рабочих потоков (workflow), шаблонов и дашбордов. — Подготовка документации, пользовательских сценариев, контрольных списков и блок-схем. — Самостоятельное формирование и заполнение задач для кросс-функциональных команд. — Декомпозиция функциональных возможностей на задачи для команд Frontend, Backend, QA, DevOps и дизайна. — Определение зависимостей между задачами, командами и этапами разработки. — Оценка трудозатрат в часах совместно с командами. — Планирование сроков и контроль загрузки команды. — Управление бэклогом и приоритизация задач в сотрудничестве с продуктовыми менеджерами и лидерами команд. — Контроль статусов, сроков, рисков и блокирующих факторов. — Проведение планирований, грумингов, ретроспектив и других командных встреч. — Организация и сопровождение плановых релизов, релизов нового функционала и экстренных исправлений (hotfix). — Подготовка релизных контрольных списков и контроль готовности всех участников. — Настройка автоматизаций внутри Jira или ClickUp. — Настройка интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Внедрение нейросетей для создания, заполнения и актуализации задач. — Автоматизация проектных процессов с использованием нейросетей. — Поддержание актуальности документации и процессов. — Подготовка регулярных отчетов о статусе для команды и стейкхолдеров. — Трансформация бизнес-требований в понятные задачи, пользовательские истории (user stories) и критерии приемки (acceptance criteria). Требования: — Опыт работы в должности Project Manager или Delivery Manager не менее 4 лет. — Опыт управления кросс-функциональными командами. — Опыт ведения проектов с участием команд Frontend, Backend, QA, DevOps и дизайна. — Уверенное владение системами Jira и Confluence или ClickUp. — Опыт настройки и реорганизации процессов в системах отслеживания задач. — Опыт создания рабочих потоков, шаблонов, дашбордов и автоматизаций. — Опыт настройки интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Практический опыт автоматизации рабочих процессов с помощью нейросетей. — Навыки использования нейросетей для создания и заполнения задач, генерации критериев приемки, декомпозиции функциональных возможностей и актуализации документации. — Способность самостоятельно выявлять и внедрять сценарии применения искусственного интеллекта для сокращения объема рутинных операций. — Умение самостоятельно формировать полные и понятные технические задания. — Навыки декомпозиции крупных функциональных возможностей и управления зависимостями. — Опыт оценки трудозатрат и планирования загрузки команды. — Опыт организации и сопровождения релизов. — Понимание жизненного цикла разработки цифровых продуктов. — Понимание принципов CI/CD, процесса code review и работы с техническим долгом. — Знание методологий Scrum, Kanban или Scrumban и умение адаптировать процессы под специфику команды. — Базовые навыки работы с Figma. — Базовое понимание SQL и инструментов мониторинга, включая Grafana или Kibana. — Понимание особенностей Telegram Mini Apps, WebView и TMA SDK. — Умение выявлять риски и блокирующие факторы до начала этапа разработки. — Навыки фасилитации встреч и фиксации договоренностей. — Понимание взаимосвязи между трудозатратами, ресурсами и бюджетом проекта. — Системное мышление, самостоятельность и внимательность к деталям.

Задачи: — Управление полным жизненным циклом разработки функциональных возможностей: от брифинга и декомпозиции до релиза и анализа результатов. — Аудит существующих процессов и их оптимизация. — Разработка процессов с учетом специфики команды и продукта. — Организация рабочего пространства в системах Jira или ClickUp. — Настройка проектов, досок, статусов, рабочих потоков (workflow), шаблонов и дашбордов. — Подготовка документации, пользовательских сценариев, контрольных списков и блок-схем. — Самостоятельное формирование и заполнение задач для кросс-функциональных команд. — Декомпозиция функциональных возможностей на задачи для команд Frontend, Backend, QA, DevOps и дизайна. — Определение зависимостей между задачами, командами и этапами разработки. — Оценка трудозатрат в часах совместно с командами. — Планирование сроков и контроль загрузки команды. — Управление бэклогом и приоритизация задач в сотрудничестве с продуктовыми менеджерами и лидерами команд. — Контроль статусов, сроков, рисков и блокирующих факторов. — Проведение планирований, грумингов, ретроспектив и других командных встреч. — Организация и сопровождение плановых релизов, релизов нового функционала и экстренных исправлений (hotfix). — Подготовка релизных контрольных списков и контроль готовности всех участников. — Настройка автоматизаций внутри Jira или ClickUp. — Настройка интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Внедрение нейросетей для создания, заполнения и актуализации задач. — Автоматизация проектных процессов с использованием нейросетей. — Поддержание актуальности документации и процессов. — Подготовка регулярных отчетов о статусе для команды и стейкхолдеров. — Трансформация бизнес-требований в понятные задачи, пользовательские истории (user stories) и критерии приемки (acceptance criteria). Требования: — Опыт работы в должности Project Manager или Delivery Manager не менее 4 лет. — Опыт управления кросс-функциональными командами. — Опыт ведения проектов с участием команд Frontend, Backend, QA, DevOps и дизайна. — Уверенное владение системами Jira и Confluence или ClickUp. — Опыт настройки и реорганизации процессов в системах отслеживания задач. — Опыт создания рабочих потоков, шаблонов, дашбордов и автоматизаций. — Опыт настройки интеграций между системами отслеживания задач, Slack, GitHub или GitLab. — Практический опыт автоматизации рабочих процессов с помощью нейросетей. — Навыки использования нейросетей для создания и заполнения задач, генерации критериев приемки, декомпозиции функциональных возможностей и актуализации документации. — Способность самостоятельно выявлять и внедрять сценарии применения искусственного интеллекта для сокращения объема рутинных операций. — Умение самостоятельно формировать полные и понятные технические задания. — Навыки декомпозиции крупных функциональных возможностей и управления зависимостями. — Опыт оценки трудозатрат и планирования загрузки команды. — Опыт организации и сопровождения релизов. — Понимание жизненного цикла разработки цифровых продуктов. — Понимание принципов CI/CD, процесса code review и работы с техническим долгом. — Знание методологий Scrum, Kanban или Scrumban и умение адаптировать процессы под специфику команды. — Базовые навыки работы с Figma. — Базовое понимание SQL и инструментов мониторинга, включая Grafana или Kibana. — Понимание особенностей Telegram Mini Apps, WebView и TMA SDK. — Умение выявлять риски и блокирующие факторы до начала этапа разработки. — Навыки фасилитации встреч и фиксации договоренностей. — Понимание взаимосвязи между трудозатратами, ресурсами и бюджетом проекта. — Системное мышление, самостоятельность и внимательность к деталям.

Задачи: - Разрабатывать и поддерживать высоконагруженный бэкенд корпоративного портала на Python и FastAPI (async/await, dependency injection, middleware); - Проектировать схемы и работать с PostgreSQL (SQL) и MongoDB (NoSQL), а также с объектными хранилищами (S3). Интегрировать локальные LLM, работать с векторным хранилищем Qdrant и поисковым движком OpenSearch; - Настраивать инструменты наблюдаемости (OTEL, Jaeger, Prometheus, Grafana) для отладки распределённых систем. Работать с Docker, Nginx, настраивать CI/CD пайплайны в GitLab; - Проектировать отказоустойчивые API, участвовать в Code Review, поддерживать высокий стандарт качества кода. Требования: - Ключевой стек: Python, FastAPI, PostgreSQL, MongoDB, AI/LLM, Qdrant; - Core: глубокое знание Python и фреймворка FastAPI: async/await, dependency injection, middleware; - Базы данных: опыт проектирования схем и работы с PostgreSQL, SQL и MongoDB NoSQL, знание объектных хранилищ S3; - AI & Search: опыт интеграции локальных LLM, работы с векторными хранилищами Qdrant и поисковыми движками OpenSearch; - Наблюдаемость: опыт настройки и использования инструментов мониторинга OTEL, Jaeger, Prometheus, Grafana для отладки распределённых систем; - DevOps: уверенная работа с Docker, Nginx, настройка CI/CD пайплайнов в GitLab; - Уровень: Middle от 3 лет, Senior от 5 лет; умение проектировать отказоустойчивые API.

Location: United States (Remote); United Kingdom (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role We are looking for product focused full stack engineers to work on Teleport itself. You will build the user interfaces and backend APIs to implement them for all parts of Teleport. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementation, testing, and documentation. Teleport is an open source project and most of the code you will write will be open source and written in Go (or Rust), TypeScript, React. What You'll Do - Making Teleport more efficient by adding server-side pagination and filtering capabilities https://github.com/gravitational/teleport/blob/master/rfd/0055-webui-ss-paginate-filter.md - Making Teleport easier to use by designing experiences that guide the user through the setup and onboarding process. - Building user interfaces that support our passwordless https://github.com/gravitational/teleport/blob/master/rfd/0052-passwordless.md vision. What We're Looking For - Go experience - TypeScript and React experience - Strong understanding of web security https://developer.mozilla.org/en-US/docs/Web/Security How We Hire - You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements. - You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions - You join a Slack channel and submit a coding challenge in Go and TypeScript https://github.com/gravitational/careers/blob/main/challenges/fullstack/challenge.md using GitHub. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Задачи: — Разработка и поддержка сервисов букмекерской платформы на Scala. — Работа с доставкой данных в реальном времени через WebSocket и GraphQL. — Рефакторинг протокола доставки линий и поддержка миграции с RabbitMQ на Kafka. — Улучшение стриминговых решений для повышения производительности, масштабируемости и скорости загрузки. — Оптимизация обработки конфигураций букмекерской линии в сервисах. — Работа с компонентами высокой нагрузки: Weblines, WebSocket/GraphQL линии. — Внесение вклада в архитектурные и технические решения для систем стриминга и доставки линий. — Рефакторинг и улучшение существующих сервисов. — Добавление и улучшение функционального, интеграционного, производительного и регрессионного тестирования. — Обеспечение более безопасных, быстрых и надежных релизов. Требования: — Опыт работы в backend-разработке на уровне Senior или сильного Middle+. — Глубокие знания Scala и экосистемы (Cats Effect, ZIO, Kyo). — Опыт работы с потоковыми реализациями в Scala (Reactive Streams, Akka, FS2 и др.). — Опыт создания веб-сервисов (REST API, GraphQL, WebSocket). — Опыт разработки распределенных систем и микросервисов (Kafka, RabbitMQ, RPC). — Умение работать с комплексным дизайном систем и сложной бизнес-логикой. Условия: — Полное медицинское страхование. — Оплачиваемый больничный до 10 дней без справки. — 20 дней оплачиваемого отпуска плюс дополнительный отпуск по важным жизненным событиям. — Возможности для обучения и профессионального развития. — Поддержка изучения языков для многоязычного сотрудничества. — Современное оборудование для работы. — Международная команда из нескольких стран. — Корпоративные мероприятия и командные активности. — Программа поддержки в критических ситуациях. — Подарки и поддержка при важных жизненных событиях.

Location: San Jose, California, United States 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 OKX’s Internal Audit function has an early-stage, working AI-native capability: live dashboards, agentic workflows, and AI-powered apps that let a very small team punch far above its weight. Your job is not to rebuild it at today’s maturity. Your job is to take it to a regulator-grade production standard and well beyond , and to drive AI Enablement across the department. You own the products people touch: the real-time dashboards that drive Chief Audit Executive and board reporting , the computer-assisted audit technique (CAAT) and continuous-monitoring surfaces auditors work from, and the agentic, AI-powered apps that make the team faster, and you get auditors to adopt them. You build on the platform’s runtime and harness rather than reinventing them. We hire on demonstrated building , not on claims or credentials. We expect you to be more capable than the hiring manager in your domain: you will co-own and challenge the tooling strategy, not just implement it. This is a two-person engineering team: you deploy, debug, and hotfix your counterpart’s stack when needed. What You’ll Be Doing Environment Cloud on AWS or GCP . Claude as the starting point in a deliberately multi-model architecture: Anthropic, OpenAI, Google, using the right model for each job, including plugins you build. Google Workspace for reporting and evidence. JIRA for the audit team’s workflow. Lark for team communications and alert bots. Today’s executive product ships largely as API-rendered Google Docs/Slides and branded PDF; you evolve that toward real applications without dropping the document standard. React / Next.js front-end, with testing and observability throughout. Treat this stack as the starting point, not a constraint: you build production-grade products end to end on what exists today, and you are expected to propose, prove, and adopt better tools as demand and capabilities evolve. In your first year A live, real-time Chief Audit Executive and board dashboard is in use for actual reporting. CAAT and continuous-monitoring surfaces are used by auditors in multiple real audits, with full-population testing live in at least two audit domains. Agentic, human-in-the-loop applications are part of the team's standard workflow: several in production, adoption measured and growing, and at least two demonstrably cutting cycle times, one in audit reporting and one in a board-cycle deliverable. The hiring manager is out of the delivery loop for dashboards, reports, and rendering pipelines: each has a runbook and an owner who is not him. How we assess demonstrated building We assess demonstrated building in ways that respect your time and your confidentiality obligations to current and former employers: a portfolio deep-dive (walk us through applications you built and kept running, at the level of detail your obligations allow; we want architecture, decisions, and trade-offs, never proprietary code, data, or documents), a short, time-capped build exercise on a synthetic dataset unrelated to OKX's business (a live dashboard with drill-through, used for assessment only, never put to use by OKX, and the work remains yours) that you defend live, walking us through your design decisions and extending it on the spot, a working session on how you drove adoption with non-technical users, and references focused on whether you built and maintained applications in production. Trust and compliance This role handles highly sensitive audit data at a global crypto exchange. Expect background checks, confidentiality obligations, and personal-trading and material-non-public-information restrictions consistent with OKX policy. What We Look For In You 6+ years building and maintaining full-stack web applications in production, owning them over time. Strong engineering fundamentals : data structures and algorithms, fluent Python (or a comparable backend language), and strong SQL and data modeling . True full-stack : from the data layer and SQL through resilient APIs to the UI, wired into the cloud (AWS or GCP). Strong front-end (React / Next.js and TypeScript, with real design and UX sense) and proven real-time / streaming data visualization with drill-through to underlying evidence. Agentic AI features with responsible-AI practice : multi-step workflows, human-in-the-loop review, output validation, red-teaming, and honest handling of hallucination and error. Data protection at the app layer and audit-trail thinking (access controls, evidence, defensible handling), backed by automated testing and documentation. You build applications that could withstand external audit, by design. You ship inside locked-down enterprise environments (TLS-intercepting proxies, endpoint detection and response tooling, restricted installs, security guardrails) without treating security as someone else’s problem. Experience integrating third-party systems ( JIRA , Google Workspace , SaaS APIs) and partnering with non-technical users to drive adoption. Nice to Haves Model tooling across the Anthropic, OpenAI, and Google ecosystems; Model Context Protocol (MCP) integrations and plugin development; agent-based apps. Business-intelligence (BI) and analytics tooling and executive or board reporting, including continuous-monitoring dashboards. Crypto and blockchain literacy; regulated financial-services, fintech, or crypto experience. Document and presentation rendering pipelines: programmatic Google Docs/Slides/Sheets APIs or OOXML generation to an executive brand standard. Much of audit's product ships as board-grade documents, and this is trainable on the job. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $178,000 - $321,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. 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 .

Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our New York, NY office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Austin, TX office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $163,920.50 — $196,712.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt are building the open data infrastructure that powers AI agents you can trust. Fivetran is looking for a Senior R&D Software Engineer to join our fast-growing Fivetran AI team. Your data stack was built for humans — but agents are the new primary data consumers, and they have fundamentally different requirements. Agents can’t intuit context; it must be explicitly codified, governed, and traceable. We’re building the governed context layer that solves this problem: Agents Schema, an open standard for storing agent-ready context directly in the customer’s own data warehouse, and Context Builder, the managed service that keeps it filled and fresh. This role goes well beyond standard engineering. You’ll research emerging techniques in the fast-moving AI landscape and bring real product and market understanding to decide which ideas are worth pursuing — and then you’ll take what you’ve learned and ship it as production software. We’re looking for a true generalist who is willing and able to wear whatever hat the moment calls for: prototyping a new retrieval technique one week, hardening a backend service the next, then doing SRE or QA work when the team needs it. Fivetran AI operates like a startup within Fivetran, and we need engineers who thrive on that range rather than staying in one lane. Fivetran is the epitome of data-driven development — our engineering team is focused on building a world class product that: Builds Infrastructure Agents Can Trust — join our mission to deliver the governed context layer that AI agents depend on: accurate semantic definitions, traceable lineage, data contracts, and auditable history baked in from the start. Embraces Open Standards — help build portable, interoperable data infrastructure: Agents Schema, open formats (Iceberg, Delta Lake), MCP-native interfaces, and connector skills that work with any model and any compute. Scales Without Breaking — work to make Fivetran AI efficient at agent scale, where unit costs deflate as volume grows and context retrieval is fast, accurate, and cost-controlled. We emphasize using no-nonsense tools and take great pride in the simplicity and effectiveness of the systems we build. Our back-end is built on Java, Python, Postgres, and Kubernetes, and our front-end is built on React and TypeScript. This is a full-time hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Python, Java, SQL, dbt, LLMs (Claude, ChatGPT, Gemini), vector databases, BigQuery / Snowflake / Databricks, MCP protocol, React, TypeScript, Kubernetes What You’ll Do Research emerging techniques in retrieval, reasoning, and agentic AI, and evaluate what’s actually relevant to Fivetran AI’s roadmap Prototype new ideas quickly, then take the ones that prove out and turn them into shipped, production-grade features Build and maintain both back-end and front-end systems for the Fivetran AI product — from Agents Schema pipelines to the Context Catalog UI Contribute to the AISQL capability: natural language to SQL grounded in dbt metric definitions, executed natively against the warehouse Take ownership of production reliability: on-call rotation, incident response, and SRE work to keep the platform trustworthy at scale Write and maintain tests, and do hands-on QA to catch issues before customers do Use coding agents to automate the repetitive parts of the job, freeing up time for the research and design work that needs a human Partner with product and design, bringing your own understanding of the AI tooling market to shape what gets built next Develop software designs and contribute to the technical roadmap for the Fivetran AI platform Contribute to hiring by participating in the interview process Skills We’re Looking For 5+ years of programming experience across Python and/or Java, with the ability to move fluidly between back-end and front-end work Considered a trusted expert in your subject area, capable of executing complex, ambiguous tasks with minimal hand-holding Comfortable reading AI/ML research and turning promising findings into working prototypes Strong product and market awareness — able to judge which emerging techniques are worth building versus which are hype Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) Genuine willingness to work across the full stack: research, backend, frontend, SRE, and QA, as the team’s needs demand Writes well-structured, performant code and can dive into unfamiliar codebases to suggest improvements Experience using coding agents or similar AI tooling to speed up day-to-day engineering work Analytical mindset to identify gaps in existing systems and design practical, pragmatic improvements Thrives in a startup-like environment with shifting priorities and a high degree of ownership Bonus Skills Experience with LLM-powered applications — RAG pipelines, embeddings, evaluation frameworks, or agent frameworks Familiarity with semantic layers — dbt, LookML, Sigma, or similar Experience with the MCP (Model Context Protocol) ecosystem or building AI agent integrations Background in site reliability engineering — monitoring, alerting, incident response Experience in data processing (ETL, ELT) and/or building data connectors Experienced working in a cloud environment utilizing AWS, GCP, Kubernetes, or Docker Contributions to open source AI or data projects #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. 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 Event Contracts are one of the fastest-growing financial innovation categories globally over the past two years, showing significant potential across crypto, politics, sports, and macro events. We are building our own Event Contract product line from the ground up. We are looking for a Senior Product Manager who understands both financial products design, trading systems and market microstructure to take the business line to the next growth phase. What You’ll Be Doing Own the full lifecycle of this business line — from mechanism design and liquidity build-out to user growth and experience optimization — driving the end-to-end planning and execution of the Event Contract product line. Product Mechanism Design : Own the overall design of Event Contract products, including but not limited to product specs for Up-Down, Between (range), and Hit; strike price generation logic; settlement mechanism design; and the specs of contracts on crypto, equities, and other underlyings. Market Depth & Liquidity Framework : Design and drive the Market Maker incentive and obligation framework (spread, depth, uptime, and other obligation metrics); continuously monitor order book quality (spread / depth / uptime) to keep the product competitive on key liquidity metrics. Business Growth : Own user experience, user growth, and business scaling for this category — including defining and executing user growth campaigns, acquisition/retention/activation strategies, and coordinating channel and operations resources; accountable for core business metrics such as trading volume and user count. Competitive Research, Data-Driven Decisions & Cross-Team Collaboration : Continuously track the product mechanisms, fee structures, volume composition, and growth strategies of leading domestic and international competitors, translating industry best practices into product iteration plans for our platform; conduct in-depth analysis of internal trading data to produce actionable product and growth recommendations; work closely with Trading Engine, Frontend, Risk/Settlement, Liquidity/Market Making, and Operations teams to drive execution and iteration. New Business Exploration : Explore opportunities to combine event contracts with other product formats (e.g., structured products, social/community mechanics, copy trading, broker distribution partnerships) to open up new growth curves for the platform. What We Look For In You Experience building complex backend systems from 0 to 1 (e.g. trading systems, ad systems, e-commerce systems, or payment systems). Candidates with internet product growth experience, having led acquisition/retention/activation campaigns and owned business outcomes and metrics, have a strong advantage. Exceptional learning ability, logical reasoning, and quantitative skills. Strong ability to abstract and translate real-world business scenarios into elegant data structures and business logic. Deep understanding of financial derivatives principles, and experience owning the 0-to-1 design or large-scale overhaul of futures/options trading systems is preferred. Alternatively, strong learning ability and transferable methodology from building similar complex systems are welcome. Strong drive and leadership. Excellent data analytical skills. Strong insight and judgment, and able to identify hot topics and market opportunities amid constant change. Sustained interest in and understanding of event contracts underlying such as crypto, macro events, sports, and politics. Ability to systematically produce AI tools to improve personal work output and efficiency (AI leverage) — e.g. using AI to support data analysis, documentation, and code/query writing in day-to-day work. Experience investing or trading in equities, FX, crypto spot/derivatives, or quantitative trading is preferred. Nice-To-Haves Experience in options product design or trading, or hands-on trading/research/industry experience with similar event contracts platforms is a plus. Experience designing Market Maker strategies or liquidity incentive mechanisms is a plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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 .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 Event Contracts are one of the fastest-growing financial innovation categories globally over the past two years, showing significant potential across crypto, politics, sports, and macro events. We are building our own Event Contract product line from the ground up. We are looking for a Senior Product Manager who understands both financial products design, trading systems and market microstructure to take the business line to the next growth phase. What You’ll Be Doing Own the full lifecycle of this business line — from mechanism design and liquidity build-out to user growth and experience optimization — driving the end-to-end planning and execution of the Event Contract product line. Product Mechanism Design : Own the overall design of Event Contract products, including but not limited to product specs for Up-Down, Between (range), and Hit; strike price generation logic; settlement mechanism design; and the specs of contracts on crypto, equities, and other underlyings. Market Depth & Liquidity Framework : Design and drive the Market Maker incentive and obligation framework (spread, depth, uptime, and other obligation metrics); continuously monitor order book quality (spread / depth / uptime) to keep the product competitive on key liquidity metrics. Business Growth : Own user experience, user growth, and business scaling for this category — including defining and executing user growth campaigns, acquisition/retention/activation strategies, and coordinating channel and operations resources; accountable for core business metrics such as trading volume and user count. Competitive Research, Data-Driven Decisions & Cross-Team Collaboration : Continuously track the product mechanisms, fee structures, volume composition, and growth strategies of leading domestic and international competitors, translating industry best practices into product iteration plans for our platform; conduct in-depth analysis of internal trading data to produce actionable product and growth recommendations; work closely with Trading Engine, Frontend, Risk/Settlement, Liquidity/Market Making, and Operations teams to drive execution and iteration. New Business Exploration : Explore opportunities to combine event contracts with other product formats (e.g., structured products, social/community mechanics, copy trading, broker distribution partnerships) to open up new growth curves for the platform. What We Look For In You Experience building complex backend systems from 0 to 1 (e.g. trading systems, ad systems, e-commerce systems, or payment systems). Candidates with internet product growth experience, having led acquisition/retention/activation campaigns and owned business outcomes and metrics, have a strong advantage. Exceptional learning ability, logical reasoning, and quantitative skills. Strong ability to abstract and translate real-world business scenarios into elegant data structures and business logic. Deep understanding of financial derivatives principles, and experience owning the 0-to-1 design or large-scale overhaul of futures/options trading systems is preferred. Alternatively, strong learning ability and transferable methodology from building similar complex systems are welcome. Strong drive and leadership. Excellent data analytical skills. Strong insight and judgment, and able to identify hot topics and market opportunities amid constant change. Sustained interest in and understanding of event contracts underlying such as crypto, macro events, sports, and politics. Ability to systematically produce AI tools to improve personal work output and efficiency (AI leverage) — e.g. using AI to support data analysis, documentation, and code/query writing in day-to-day work. Experience investing or trading in equities, FX, crypto spot/derivatives, or quantitative trading is preferred. Nice-To-Haves Experience in options product design or trading, or hands-on trading/research/industry experience with similar event contracts platforms is a plus. Experience designing Market Maker strategies or liquidity incentive mechanisms is a plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development 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 .