Вакансии

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We're looking for a Senior Corporate Paralegal to join Ramp's Legal team and own the operational backbone of how we govern and structure the company. Ramp runs a growing portfolio of U.S. and non-U.S. entities — including regulated and licensed subsidiaries — across a business that ships constantly and raises, acquires, and expands on short notice. You will be the person who keeps that machinery accurate, current, and audit-ready. This is a broad generalist role. You'll sit at the center of corporate governance, entity management, equity administration, and litigation/employment and you'll partner directly with Finance, Accounting, Tax, Treasury, Compliance, Equity Admin, and People, and outside counsel. We are a small, high-leverage team supporting a company that moves quickly, so you'll cover a lot of ground and be trusted to run matters independently. WHAT YOU'LL DO - Corporate governance: Prepare board and stockholder meeting materials, agendas, minutes, written consents, resolutions, secretary's certificates, and incumbency certificates. Track and calendar governance obligations across the entity portfolio. - Entity management: Own the full lifecycle of entity administration — formations and dissolutions, foreign qualifications, annual reports, franchise tax filings, registered agent management, signatories, officer and director lists, post-integration cleanup. - KYC, UBO, and diligence: Respond to KYC/UBO and diligence requests from bank partners, regulators, auditors, insurers, and counterparties, and build reusable packages. - Equity support: Support equity administration, option and RSU grants, board approvals of equity awards, secondaries, and equity plan recordkeeping in partnership with Finance and People. - Transaction support: Run diligence support, signature collection, closing checklists, closing binders, and post-closing obligations for financings, credit facilities, M&A, real estate, and insurance renewals. - Commercial and cross-functional support: Assist with powers of attorney, delegations of authority, and corporate approvals needed by the business. - Employment support: Support employment- and immigration-related requests and filings. - Litigation support: Support subpoena and law enforcement requests, legal holds, e-discovery, and document production. Review and respond to garnishment orders and UCC liens. Serve as Ramp’s custodian of records and as Ramp’s representative in small claims court cases. WHAT YOU NEED - 6+ years of corporate paralegal experience at a major law firm and/or in-house at a high-growth technology or financial services company. - Deep working knowledge of corporate governance, entity formation and maintenance, corporate recordkeeping, and secretary's office functions. - Excellent drafting skills across resolutions, consents, certificates, and corporate documentation, with genuine precision — you catch the wrong entity name, the stale date, and the missing signature block. - Demonstrated ability to independently run multiple time-sensitive workstreams without dropping threads or waiting to be asked. - Strong written and verbal communication skills and the judgment to work directly with executives, board members, outside counsel, and cross-functional partners. - Comfort operating in a fast-paced environment where priorities shift and processes are still being built — and a bias toward action. - High judgment around confidential and sensitive corporate information. - Bachelor's degree or equivalent practical experience. NICE TO HAVE - Experience at a fintech, payments, or regulated financial services company, including support for licensed entities (money transmitter, EMI, or similar). - Experience supporting venture financings, secondaries, M&A integration, or IPO readiness. - International entity management experience across EMEA, APAC, LATAM, or Canada. - Experience with equity administration and cap table platforms (e.g., Shareworks). - Experiencing with litigation or employment matters. - Notary Public commission (NY or CA), or willingness to obtain one. - ABA-approved paralegal certificate. - A track record of using AI or automation to eliminate manual legal work. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role: Are you an experienced engineer at the stage of your career where, above all, you want to do good? This role is about using engineering to support fundraising: delighting our donors; helping our fundraisers; getting donations recorded and safely started on their journey to our recipients; telling donors and the public about what happens to their gifts. A bit of website development. A lot of plumbing. The good news about this position: You will make a difference to people in extreme poverty You will work independently, with few constraints You will work directly with lovely people from across our fundraising teams The trade-offs: There is only one other fundraising engineer and mostly you will be working on your own Our technology is a mixture of boring (Laravel, PHP, plain JS, HTML and CSS) and legacy (Salesforce, Wordpress, wrangling CSV files sent by our partners) We're growing, but this is a role for someone who values depth and impact over a fast title ladder. The maybe good maybe bad news about the role depending on who you are: We are all in on AI where it allows us to get more $ to people in extreme poverty If you want a role where you will be part of a bigger engineering team, working in Python or working on more complex tasks, then please take a look at our other engineering roles . This role is right for you if: You care about our mission You agree with our values You have the right to work in one of the countries we're able to hire from (you can check the current list here ). You're happy working remotely, and taking meetings across East Africa Time and US Eastern Time. You are happy to travel to meet your colleagues in the US, Europe and Africa a few weeks a year You are fluent in English You have 4+ years of engineering experience You're happy working autonomously: defining what needs doing, doing it, getting it tested and launched, fixing the bugs, and hustling to make progress every day. You're comfortable being on-call on peak donation days (Giving Tuesday and the last weeks of the year), including owning an incident: working out what matters, communicating with fundraisers, and debugging on legacy and others' code, sometimes when no other engineers are available. You are happy with our boring and legacy technologies (Laravel, PHP, plain JS, HTML, CSS, Salesforce, Wordpress, SQL, wrangling csv files etc). You don’t have to be experienced in all of them, but you do have to be genuinely happy to use them (many engineers are not…). You are happy and skilled at working directly with non-engineers on messy, poorly defined, rapidly changing, sometimes boring tasks Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United States Base Salary: $181,130 Bonus at Target Performance: 15% (~$27,170, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$31,789 in 2025) Estimated Total Compensation at Target: $208,300+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £124,370 Bonus at Target Performance: 15% (~£18,656, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~£21,827 in 2025) Estimated Total Compensation at Target: £143,026+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $112,350 Bonus at Target Performance: 15% (~$16,853, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be ~$19,717 in 2025) Estimated Total Compensation at Target: $129,203+ Annual Benefits Stipend: $8,453 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A positive and supportive team with opportunities for advancement A demonstrated commitment to helping all staff develop and grow A competitive salary, including bonus A robust health benefits plan (exact details will vary by country) Unlimited PTO (that we encourage staff to take!) Desk allowance and flexible work location About this specific hiring process Take-home coding assignment Live Coding (60 mins) Systems Design (60 mins) Project Deep Dive + Behavioral (60 mins) *It’s possible that there will be adjustments to this interview process. Any changes will be communicated to you during the process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Компания, работающая в сфере FinTech с фокусом на фармацевтический домен, ищет опытного Senior Data Analyst. Кандидат должен уметь эффективно анализировать данные в рамках нескольких проектов и взаимодействовать с небольшими командами. Вакансия предполагает удалённый формат работы и открывает перспективу карьерного роста до позиции Head of Analytics.

Задачи: — Разрабатывать рекламную платформу для онлайн и офлайн рекламы — Разрабатывать транспортную систему для статистики — Проектировать и разрабатывать микросервисы на Go — Решать алгоритмические и оптимизационные задачи в высоконагруженных сервисах — Писать эффективный, читаемый и поддерживаемый код, покрывать тестами — Принимать участие в разработке архитектуры Требования: — Большой опыт разработки от 6 лет (из них не менее 3-х лет на Go) — Знание алгоритмов и структур данных — Опыт разработки высоконагруженных веб-сервисов со SLA 99.95%+ — Глубокие знания и опыт работы хотя бы с одной СУБД: PostgreSQL, MySQL, ClickHouse — Понимание основных принципов построения распределённых систем хранения и обработки данных — Опыт разработки Cloud Native сервисов — Хорошее знание принципов проектирования микросервисной архитектуры и практический опыт их применения — Хорошее знание внутреннего устройства Linux — Опыт профилирования, оптимизации программ на Go и устранения сложных технических проблем — Готовность работать по принципу: “You build it, you run it” Технический стек: Go, In-house Cloud, Kubernetes, Kafka, ClickHouse, PostgreSQL, Docker, Git Будет плюсом: — Знание и навыки программирования на C/C++, Rust — Опыт реализации эффективного мониторинга сервисов — Опыт работы с инструментами автоматизации эскалации инцидентов

Задачи: — Разрабатывать, строить и оптимизировать масштабируемые backend-системы для платформы оценки рисков. — Работать с высоконагруженными потоками данных, сервисами принятия решений в продакшене и интеграциями машинного обучения. — Сотрудничать с дата-сайентистами, аналитиками рисков и продуктовыми командами для создания надежных и высокопроизводительных решений. — Запускать стратегии оценки рисков для принятия решений в реальном времени. — Эволюционировать и адаптировать архитектуру в соответствии с текущими бизнес-планами. — Обеспечивать высокое качество реализации через комплексное покрытие тестами. — Проектировать и использовать инструменты для валидации изменений, чтобы они соответствовали бизнес-требованиям. Требования: — Опыт работы с Python не менее 4 лет. — Участие в разработке сервиса или подсистемы с нуля и успешный вывод в продакшн с бизнес-эффектом. — Глубокие знания Python и его экосистемы. — Понимание жизненного цикла программного обеспечения, применение методологии MVP. — Опыт с архитектурными паттернами и принципами проектирования. — Готовность брать ответственность за архитектурные решения сервиса. — Уровень английского B1 или выше для эффективного общения с международной командой. Условия: — Поддержка релокации в один из офисов: Кипр, Грузия, Сербия или Казахстан с помощью для сотрудника и его семьи. — Гибкий формат работы: из офиса или удаленно. — Медицинское страхование. — Бюджет на образование: языковые курсы, профессиональное обучение и сертификации. — Бюджет на оздоровление: компенсация расходов на ментальное здоровье и фитнес. — Отпуск: 20 дней оплачиваемого ежегодного отпуска и оплачиваемый больничный.

Задачи: — Готовить данные (API, SQL, файлы) и собирать прототипы для AI-ассистента до передачи в продакшен. — Подготавливать контекст для RAG, тестировать поиск и сопоставление сущностей. — Формировать golden dataset и автоматизировать тестирование ассистента (массовый прогон сценариев). — Считать метрики качества (retrieval, hallucinations) и локализовывать причины ошибок. Требования: — 5+ лет опыта в Data Engineering / разработке аналитических решений. — Уверенный Python и SQL, опыт с API, ETL/ELT, DWH. — Понимание принципов LLM, RAG, retrieval, embeddings (опыт работы — жирный плюс, но если глубоко погружен в тему — welcome). — Умение быстро собирать PoC, исследовать источники и находить нестандартные решения. Условия: — Удалёнка из любого города РФ или офис по желанию. — Оформление по договору ИП. — Зарплата 350 000 – 400 000 ₽ Gross.

Задачи: — Разрабатывать backend на Laravel — Проектировать и описывать отказоустойчивую бизнес-логику на PHP 8.x с использованием возможностей Laravel — Оркестрировать ИИ через Dify — Развертывать, конфигурировать и интегрировать Dify (Workflow, Agents, RAG); связывать backend приложения с Dify API — Проектировать и разрабатывать API — Создавать чистые, документированные RESTful/gRPC контракты для мобильных и веб-клиентов компании — Управлять асинхронными процессами — Оптимизировать тяжелые запросы к LLM через очереди (Laravel Queues/Horizon), настраивать потоковые передачи ответов (Server-Sent Events / Стриминг) — Проектировать и оптимизировать схемы реляционных баз данных под хранение истории диалогов, контекста, логов и сессий ИИ — Писать Unit/Feature тесты (Pest/PHPUnit) — Участвовать в Code Review и поддерживать высокие стандарты кодовой базы Требования: — Опыт коммерческой разработки на PHP от 4 лет, из которых не менее 2 лет - активная работа с фреймворком Laravel — Глубокие знания баз данных и систем кэширования: уверенное владение и глубокое понимание принципов работы Redis и PostgreSQL — Асинхронное взаимодействие: глубокое понимание принципов асинхронного взаимодействия сложных систем — Экспертиза в асинхронности — Глубокое понимание работы очередей, планировщиков задач (Cron) и паттернов обработки долгоживущих соединений — Уверенные знания SQL — Опыт оптимизации сложных запросов, индексации таблиц и проектирования архитектуры данных для высоконагруженных систем — Будет плюсом: — Наличие опыта интеграции Dify (или аналогичных LLM-оркестраторов вроде Flowise/Langhope) в реальных проектах — Понимание специфики LLM — Понимание принципов работы языковых моделей, токенизации, контекстных окон, логики работы эмбеддингов и семантического поиска Условия: — Оформление в аккредитованную ИТ-компанию — График 5/2 с гибким началом — Формат работы: гибрид или офис (Москва, Краснодар), удалённо из других городов РФ

Задачи: — Разрабатывать рекламную платформу для онлайн и офлайн рекламы — Разрабатывать транспортную систему для статистики — Проектировать и разрабатывать микросервисы на Go — Решать алгоритмические и оптимизационные задачи в высоконагруженных сервисах — Писать эффективный, читаемый и поддерживаемый код, покрывать тестами — Принимать участие в разработке архитектуры Требования: — Большой опыт разработки от 6 лет (из них не менее 3-х лет на Go) — Знание алгоритмов и структур данных — Опыт разработки высоконагруженных веб-сервисов со SLA 99.95%+ — Глубокие знания и опыт работы хотя бы с одной СУБД: PostgreSQL, MySQL, ClickHouse — Понимание основных принципов построения распределённых систем хранения и обработки данных — Опыт разработки Cloud Native сервисов — Хорошее знание принципов проектирования микросервисной архитектуры и практический опыт их применения — Хорошее знание внутреннего устройства Linux — Опыт профилирования, оптимизации программ на Go и устранения сложных технических проблем — Готовность работать по принципу: “You build it, you run it” — Технический стек: Go, In-house Cloud, Kubernetes, Kafka, ClickHouse, PostgreSQL, Docker, Git — Будет плюсом: знание и навыки программирования на C/C++, Rust — Будет плюсом: опыт реализации эффективного мониторинга сервисов — Будет плюсом: опыт работы с инструментами автоматизации эскалации инцидентов Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо или гибрид

Location: Athens, Greece; Berlin, Germany; Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is a Finnish technology company known for its local commerce platform. From food delivery to grocery stores and cosmetics, we make cities better places to live by connecting people with the things they need. Our Global Creative Production team is currently undergoing a massive transformation, shifting from a reactive service center to an "upstream AI-Enabled growth engine". We are looking for a Senior Creative Producer to join us at this pivotal moment. This is a 6-month fixed contract opportunity starting ASAP. Location: Helsinki, Berlin, Athens. What you’ll be doing As the Senior Creative Producer, you will manage digital projects from brief to final delivery. You’ll thrive in cross-functional collaboration across different business departments such as B2B, Communication, New Verticals, and Wolt+ teams. You’ll own project timelines for successful deliveries,  weekly standups, daily communication with stakeholders and creative teams, and the localization and QA process during the production of social and digital assets. You will own the end-to-end production of digital advertising projects, ensuring our creative assets are not only on-brand but also built for massive scale across global markets. You will be responsible for the day-to-day organization of the team and daily communication from brief to delivery. Day-to-day in this role, you’ll: End-to-End Delivery: Manage digital projects and multi-channel campaigns from concept to launch. Our deliverables touch social, in-app, DOOH, event collateral, and OOH. Resource & Budget Control: Oversee project costs, timelines, and team allocations without losing creative quality. Stakeholder Management: Align internal marketing teams, designers, and external agencies on project milestones and timelines. Daily and/or weekly status updates are crucial for the success of our projects. Time Management & Multitasking : Excellent time management skills with the ability to set priorities, multitask, and meet deadlines. Our producers are working on multiple projects simultaneously, and projects might touch different surfaces each time. Our humble expectations Solid Production Experience: 8+ years in creative production or integrated campaign management, ideally within a high-growth tech environment or a progressive digital agency. Understanding of Media Plans : You have experience with specs and asset production across Awareness, Consideration, and Conversion layers. Stakeholder Management: Ability to manage complex projects with multiple high-level stakeholders while maintaining high creative standards. Demonstrated success partnering with distributed teams across time zones and cultures Risk Management & Reporting : Ability to assess risks during production, find solutions, and share with management and stakeholders in a timely manner. Organizational skills : Methodical in following a predetermined system to complete tasks and meticulous in paying close attention to small details without losing sight of the big picture. Strong work ethic and accountability : A proactive attitude and rigor on everyday tasks, a positive mindset despite ongoing changes, and an excitement to learn. Resourceful during productions; deciding and acting on whether to bring external and/or internal resources and self-motivated to lead the project to completion. Someone who doesn’t shy away from a challenge and follows through on commitments made. Tech-Forward Mindset: You have a strong interest (and ideally experience) in AI-powered creative tools and generative workflows. What we offer Shape the Future: You won’t just be filling a seat; you’ll be building the blueprint for how Wolt produces creative content for years to come. Innovation at Scale: Work at the forefront of AI and automation in the creative industry, moving from manual tasks to agentic workflows. Impact: Take ownership of strategic business priorities and see your work scale globally. Wolt Culture: Join a team that values ownership, heart, and a "get things done" attitude in a hybrid, flexible work environment. Next steps Application Review: Our Production team will review your profile to see if your experience aligns with our strategy. TA Screen: A 30-minute introductory call to discuss your background and motivations. Hiring Manager Interview: A deep dive into your production philosophy with our Creative Production Lead. Loop: Competency & Operating Principles: a structured behavioural interview with the team. Working Session: a short case study and walk us through your thinking. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Задачи: — развивать и приводить в порядок критически важную инфраструктуру бэк-офиса (reporting, reconciliations, integrations, data pipelines). Требования: — опыт разработки на Go. Условия: — работа в русскоязычной технической команде швейцарской трейдинговой компании.

Задачи: — Развивать и приводить в порядок критически важную инфраструктуру бэк-офиса (reporting, reconciliations, integrations, data pipelines). — Backend для внутренних финтех-процессов: payments, reporting, reconciliations. — Интеграции с банками и платежными провайдерами. — Работа с сырыми финансовыми данными и API. — Оптимизация внутренних процессов и инструментов. Требования: — От 3+ лет коммерческого опыта с Go (основной язык). — Опыт с Python. — Опыт в payments / crypto / fintech (обязательно). — Опыт работы с public API или data ingestion. — Опыт с ОТС деск и/или опыт с трежерис. — Опыт работы в малых/средних командах, где разработчик решает задачи end-to-end. — Активное использование AI в разработке. — Ownership mindset: самостоятельность, внимание к деталям, ответственность. Условия: — Работа по CET timezone из любой точки мира. — B2B контракт с отпускными и больничными. — Конкурентная зарплата и годовой бонус. — Small senior team, без бюрократии. — Активно развивающийся продукт без легаси.

About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses. What You Will Do: — Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance — Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability — Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns — Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow — Optimize performance, reliability, and cost of the ML platform — Evaluate and integrate emerging Databricks features — Stay ahead of the curve by engaging with the latest developments in machine learning and AI — Serve as senior ML technical advisor to Faire’s data science and production engineering teams — Represent Faire at ML conferences and meetups — Mentor ML engineers and raise the overall bar for Machine Learning at Faire What it takes: — 10-12 years of experience building and improving large-scale ML or data platforms — A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field — Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization — Proven ability to design systems that support multiple data science teams and production workloads — Strong background in distributed systems, ML infrastructure, and cloud architecture — Demonstrated technical leadership across teams and orgs; ability to influence without authority — Experience integrating LLM workflows into enterprise platforms is a plus — Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus Tech Stack: Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following: — Languages: Python, SQL, Kotlin — ML Frameworks: PyTorch, PySpark, MLFlow — Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL — Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform — Generative AI: Claude Sonnet 4.5, ChatGPT 5.2 Conditions: Hybrid work format with office presence 3 days per week (Tuesdays, Thursdays, and a flex day) and flexibility to work remotely up to 4 weeks per year. Remote work possible for candidates located in Ontario, Canada. Salary Range: $248,000 to $341,000 per year, eligible for equity and benefits. Actual base pay depends on skills, experience, market demands, and location. Base pay range subject to change.

Задачи: — Создавать и поддерживать платформу наблюдаемости, которая собирает телеметрию клиентов — события, логи и трассировки — с использованием OpenTelemetry и лучших отраслевых практик — Разрабатывать возможности дашбордов и визуализации для команд поддержки и полевых команд, обеспечивая видимость состояния системы в реальном времени, выявление проблем и трендов, а также помогать клиентам сохранять устойчивость в масштабе — Проектировать и реализовывать систему уведомлений и оповещений, основанную на данных телеметрии и эвристиках с использованием AI-агентов и lakehouse-интеллекта — Писать инфраструктуру как код с помощью Helm и Terraform для упрощения развертывания и эксплуатации внутри Dremio — Создавать и поддерживать фреймворки приложений, стандартизирующие разработку между командами, решая сквозные задачи, такие как внедрение зависимостей и контроль доступа на основе ролей в масштабе — Сотрудничать с командами SRE и DevOps для определения лучших практик и предоставления стандартизированных решений для общих инженерных рабочих процессов — Взаимодействовать с сообществом разработчиков для понимания их проблем и превращения этих знаний в улучшения платформы — Помогать определять и реализовывать дорожную карту и этапы интеграции с платформой SAP HANA/BDC для обеспечения единого опыта Требования: — Степень бакалавра, магистра или выше в области компьютерных наук или смежной области — Опыт работы в разработке программного обеспечения не менее 5 лет — Опыт работы с Java не менее 2 лет — Опыт работы с инфраструктурой как кодом (Helm, Terraform или эквивалент) не менее 2 лет — Глубокий опыт работы с одной из основных облачных платформ (AWS, Azure или GCP) — Практический опыт работы с OpenTelemetry или аналогичными платформами наблюдаемости — Опыт работы с Kubernetes и Docker — Хорошее понимание основ сетевых технологий (TCP/IP, DNS, HTTP) — Желание изучать новые технологии и умение решать сложные задачи Преимущества: — Опыт создания SaaS микросервисов и распределённых систем — Опыт работы с многопоточными или асинхронными моделями программирования — Владение NoSQL базами данных (MongoDB, RocksDB) или Redis — Опыт работы с CI/CD инструментами (Jenkins, ArgoCD) — Знание других языков программирования, таких как C++, Go, Python, Node.js, Rust и др. — Опыт в обработке запросов, распределённых системах, контроле конкуренции, репликации данных или системах хранения — Опыт настройки Java GC/heap, Apache Arrow, SQL операторов или оптимизации путей данных Условия: — Удалённая работа из Португалии или другого места — Полная занятость Компания Dremio — это платформа lakehouse для самообслуживания аналитики и ИИ, использующая открытые технологии, включая Apache Iceberg и Apache Arrow, обеспечивающая гибкость и скорость получения инсайтов при снижении затрат.

Задачи: - Разрабатывать и поддерживать сервисы на Python - Работать с базами данных: писать запросы, оптимизировать, проектировать структуры - Участвовать в проектировании архитектуры — от простых решений к масштабируемым - Следить за качеством кода: писать тесты, рефакторить, соблюдать современные стандарты - Понимать, как и зачем приложения работают в продакшене (метрики, логи, алерты) Требования: - Опыт разработки на Python от 4 лет - Любить кодить и делать это чисто, понимать зачем нужны тесты и писать их - Интерес к мониторингу и работе приложений в продакшене - Умение мыслить прагматично: не оверинжинирить, строить простые решения, которые можно развивать - Будет плюсом: опыт с Prometheus, Grafana, Sentry; опыт написания асинхронного кода; базовое понимание Docker и CI/CD Условия: - Оформление: ДМС после испытательного срока - Формат работы: полностью удалённо, гибкий график

Задачи: — Владение AI-функциями от концепции до продакшена, интеграция LLM и кастомных моделей. — Работа с задачами реального времени в области live-стриминга: модерация контента, рекомендации и прочее. — Обучение и донастройка моделей на продакшен-данных с обеспечением производительности под реальной нагрузкой. — Оценка и выбор между созданием собственных моделей и покупкой готовых на основе данных. — Тесное сотрудничество с продакт-менеджерами и кросс-функциональными командами для разработки функций. Требования: — Опыт разработки ПО 5+ лет с практическим опытом работы с LLM. — Подтверждённый опыт обучения и деплоя моделей машинного обучения. — Сильные навыки Python и PyTorch, знание production-level сервинга. — Понимание принципов production engineering: мониторинг, отладка, оптимизация. — Английский на уровне Intermediate или выше. Плюсы: — Опыт работы с real-time видео/аудио инференсом, модерацией контента или рекомендательными системами. — Знакомство с ML инфраструктурой: Docker, Kubernetes, GCP. Условия: — Конкурентная зарплата, бонусы и опционы (все являются партнёрами). — Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга. — Комфортный офис в Лимассоле с питанием и перекусами. — Медицинская страховка: 100% для сотрудника, 75% для семьи. — Доступ к матчам и мероприятиям Aris Limassol F.C. — Возможности профессионального роста и командных активностей. Формат работы: onsite (офис в Лимассоле).

Location: Remote - Canada 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 $250,000 — $280,000 CAD 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.

Задачи: — Взять на себя ключевую часть сетевой и VPN-инфраструктуры проекта. Требования: — Senior-уровень в сетях: TCP/IP, UDP, DNS, TLS/HTTPS, маршрутизация, NAT; — серьёзный практический опыт с VPN, туннелированием и Xray; — опыт работы именно с крупными VPN-проектами; — глубокое понимание DPI, фильтрации трафика, блокировок и причин деградации соединений; — сильный Linux и сетевая диагностика; — опыт с dedicated-серверами, VPS/VDS, CDN, дата-центрами и хостинг-провайдерами; — плюсом будет практический опыт колокации собственного оборудования; — умение проектировать отказоустойчивую инфраструктуру, способную переживать сбои и изменения сетевых ограничений без постоянного ручного вмешательства; — способность быстро исследовать изменения в сетях, ставить эксперименты, находить причины проблем и внедрять решения; — постоянная погружённость в VPN-индустрию и понимание того, что в ней происходит прямо сейчас; — опыт работы в крупном VPN-сервисе и знание индустрии изнутри; — хорошее ориентирование в рынке хостингов и дата-центров, понимание особенностей разных провайдеров и умение строить масштабируемую и отказоустойчивую инфраструктуру для сотен тысяч пользователей; — VPN-инфраструктура и сети — основная профессиональная специализация. Условия: — полностью удалённо, full-time; — только основная работа — без параллельной работы и учёбы; — зарплата 350 000–1 000 000 ₽ на руки, итоговая сумма зависит от уровня, опыта и компетенций.