- Спроектировать и развернуть инфраструктуру продукта с нуля. - Подготовить инфраструктуру к переезду продукта в наш контур.
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- Спроектировать и развернуть инфраструктуру продукта с нуля. - Подготовить инфраструктуру к переезду продукта в наш контур.
Location: Россия Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы в поиске Golang разработчика, который присоединится к нашей команде и будет развивать систему некоммерческих закупок. Система позволяет контролировать закупки на разных уровнях, работать с претензиями. Мы создаем систему с нуля, выстраиваем архитектуру. Стек: Golang, Postgres, Kafka, Redis, gRPC. Задачи Внедрять современные технологии и подходы к разработке (Apache Kafka, gRPC) Создавать новые микросервисы Участвовать в выстраивании архитектуры совместно с Solution/Enterprise-архитекторами Писать unit и функциональные тесты Требования Опыт коммерческой разработки на Go от 3-х лет Опыт коммерческой разработки backend от 5 лет Понимание протоколов HTTP/GRPC Знания устройства баз данных Условия Оформление в аккредитованную ИТ-компанию; Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах Развитие – мы оплачиваем обучение на курсах и участие в конференциях Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Наличие корпоративных скидок PRIMEZONE и программ лояльности от компании Наличие корпоративной библиотеки курсов Возможность рекомендовать компанию своим друзьям, участвуя в реферальной программе Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно
Location: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? Your mission We see boundless potential in the way we live. It drives the way we work. Our culture is our most valuable asset. It acts like a compass for us. We are fast, immersed, humble and bold. And thatʼs not just words on the walls. Eliminating time-consuming tasks means people get to do more of what they love. Itʼs an inspiring, high stakes challenge that motivates us, and this common passion bonds UiPath employees globally. We all strive every day to be better and to accelerate human achievement. We make software robots, so people donʼt have to be robots. Would you like to be part of this journey? At UiPath's Site Reliability team, we build the platforms and systems the entire company depends on to deliver on our compliance and SLA promises to customers. These span services and tools that enforce cloud access policies, cost governance, observability, operational excellence, and reliability across UiPath. We are scaling each of these pillars, and building the next generation of capabilities on each, powered by AI. This is a software engineering role. You will not be the person who identifies a reliability gap and files a ticket for another team to fix. You are the engineer who identifies the gaps across teams, designs the system that closes it, builds it, ships it, and drives its adoption — often by doing the integration work yourself rather than asking other teams to come to you. You build platforms that other engineers depend on in their critical path, and you hold yourself accountable to outcomes, not outputs. You treat every system you ship as a product: you put it in front of users early, seek feedback aggressively, and iterate until it delivers real results. If adoption is slow, you donʼt blame the docs — you sit with the team, understand the friction, and remove it. What you will be doing at UiPath As a Principal Software Engineer, you will - Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating them as products that other engineering teams depend on in their critical path. - Participate in livesite monitoring rotations, handle escalations, and drive effective mitigations — aggressively reducing customer impact through broad, detailed, and effective postmortems. - Drive availability, scalability, and performance improvements based on livesite learnings. Generate (or codify existing) best practices and ensure they are followed widely across UiPath — not by publishing guidance, but by embedding them into the systems you build. - Ensure technical deliverables meet or exceed expectations on reliability, scalability, quality, and performance. Identify and drive architectural changes that significantly move the needle on these dimensions. - Onboard other teams onto your platforms by driving outcomes yourself — writing the integrations, pairing with their engineers, removing friction — rather than handing off documentation and waiting. - Ship early, seek feedback relentlessly, and iterate fast. Treat every user complaint as a design input, not a support ticket. - Drive task planning, estimation, scheduling, and staffing. - Mentor Software Engineers to develop their skills and knowledge through hands-on coaching, advice, and training opportunities. - Participate in and influence process improvements and best practices across the engineering organization. What youʼll bring to UiPath - Proven track record (10+ years) of architecting and engineering world-class, large-scale, distributed commercial applications and services, and ensuring customer success. - Experience building large-scale, complex internal platforms adopted by 10+ teams in their critical path at a large company — systems that have stood the test of time, not prototypes that were handed off or abandoned. - Demonstrated ability to drive adoption of your systems by doing the hard work yourself: writing integrations, removing friction for other teams, and measuring success by outcomes delivered — not features shipped. - Experience building and maintaining complex AI-powered applications in production. - Proficiency in one or more object-oriented languages (such as C#, C++, Go, or Python), backed by solid computer science fundamentals. - Deep understanding of data structures, algorithms, multithreading, synchronization, asynchronous patterns, and cloud programming. - Experience with service-oriented and microservice-based architectures, HTTP applications, and web services development. - Familiarity with modern engineering practices including agile development, CI/CD, and DevOps. Ability to work with globally distributed teams. - Experience working with or managing production Kubernetes infrastructure is a plus. - Experience with any of the cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a must. - Experience with database backends (e.g., Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.) #LI-VR1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Собирать и анализировать бизнес и системные требования. Готовить детальные ТЗ для frontend- и backend-разработчиков.
Location: Москва Workplace: гибкий Мы развиваем инструменты для работы с данными в VK на базе YTsaurus. Создаём единое рабочее место, в котором аналитики и разработчики смогут выполнять SQL/YQL-запросы, работать с разными базами данных, сохранять код, делиться им с коллегами и пользоваться AI-ассистентом. Ищем Go-разработчика, который будет проектировать и развивать серверную часть этой платформы. В центре работы — backend Web SQL-консоли, личные и командные рабочие пространства, интеграции с вычислительными движками и сервисом выполнения запросов. Архитектурная основа уже определена, при этом модели данных, API и многие технические решения предстоит проработать вместе с командой. Почему у нас интересно Пользовательский сценарий проходит через несколько сложных систем: от сохранённого файла и выбора подключения до выполнения запроса и получения результата. Предстоит сделать этот путь удобным и надёжным — чтобы запрос продолжал выполняться после закрытия вкладки, состояние восстанавливалось после рестарта сервиса, а совместная работа учитывала права каждого участника. Можно влиять на архитектуру новых сервисов и видеть, как ими пользуются аналитики и разработчики внутри VK. Задачи Разрабатывать на Go backend API для Web SQL-консоли и интерфейса YTsaurus: подключения к БД, контекст выполнения, история и результаты запросов Создавать сервис рабочих пространств: файлы и папки, сохранение запросов, совместный доступ, права пользователей и обработка конфликтов изменений Развивать управление выполнением запросов: запуск, получение прогресса, отмена и восстановление состояния после сбоев. Работать с долгими операциями, повторными вызовами и гонками состояний Подключать YQL, CHYT и внешние базы данных, начиная с ClickHouse; интегрироваться с сервисами управления БД, авторизации и хранения секретов Разрабатывать API для интеграции AI-ассистента с файлами, контекстом пользователя и выполнением запросов Отвечать за качество сервисов в эксплуатации: тесты, метрики, диагностику, производительность и устойчивость к отказам Требования Опыт разработки и эксплуатации backend-сервисов на Go Умение проектировать API и модели данных, работать с SQL и понимать транзакции, индексы и конкурентный доступ Понимание того, как строить надёжные взаимодействия между сервисами: таймауты, повторы, идемпотентность, отмена и восстановление после сбоев Опыт работы с аутентификацией, авторизацией и разграничением доступа Умение разбираться в чужих API, диагностировать проблемы по логам и метрикам и доводить функциональность до эксплуатации Готовность участвовать в проектировании продукта вместе с frontend-разработчиками и командами платформы данных Будет плюсом Опыт с YTsaurus, ClickHouse или другими платформами обработки данных Разработка систем фонового выполнения задач и долгоживущих процессов Работа с распределёнными хранилищами, репликацией и отказоустойчивостью Опыт интеграции AI-агентов, MCP или потоковых API
Location: Москва Workplace: гибкий Мы разрабатываем подарки, рекламу, платежи и игры в Одноклассниках. За каждым из этих продуктов — большая аудитория, высокая нагрузка и задачи, от которых напрямую зависит выручка бизнеса. Здесь можно видеть результат своей работы и в продуктовых метриках, и в доходах компании. Ищем руководителя направления: три кросс-функциональные команды, около 30 человек. В подчинении — тимлиды. В зоне ответственности — команды, техническая стратегия и развитие продуктов вместе с CPO и продуктовым лидом. При этом роль не ограничивается монетизацией. Предстоит вести крупные технические проекты, затрагивающие весь бизнес-юнит Одноклассники, и влиять на то, как устроена разработка за пределами своих команд. Задачи Руководить направлением через тимлидов: ставить цели, обсуждать решения, развивать руководителей и отвечать за общий результат Определять техническую стратегию направления, планировать её реализацию и необходимые ресурсы Вместе с CPO и продуктовой командой выбирать приоритеты и прорабатывать фичи, учитывая бизнес-цели и технический долг Находить, что мешает командам работать быстрее, упрощать процессы и налаживать взаимодействие разработки и эксплуатации Вести общие технические проекты на уровне бизнес-юнита: договариваться с другими командами и доводить решения до внедрения Требования Опыт управления несколькими командами через тимлидов Бэкграунд в backend и опыт работы с высоконагруженными системами Опыт разработки и реализации технической стратегии Умение отстаивать решения, договариваться с коллегами и брать ответственность за результат Готовность глубоко разбираться в продукте, обсуждать приоритеты и оценивать эффект по метрикам Будет плюсом Опыт в AdTech.
Location: Poland; Brazil; Uruguay; Sweden; Greece; Latvia; Colombia; Argentina; Romania; Cyprus; Estonia; Hungary; Mexico; Chile; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Growth Engineering team builds the experiences that connect people to our ecosystem for the first time and keeps them coming back. We design and ship the systems behind our marketing funnels, signup and KYC flows, and the key engagement features that help new users fund their accounts and explore our products. It’s a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally. As an Engineering Manager, you’ll guide a cross-functional engineering team responsible for delivering measurable impact on growth metrics. You’ll work closely with Product and Design partners to plan, prioritize, and execute projects that accelerate user acquisition, activation, and retention. You’ll help engineers do their best work — setting clear direction, removing blockers, and maintaining strong alignment across stakeholders. THE OPPORTUNITY - Lead, mentor, and support a cross-functional team of engineers delivering growth-critical systems and features. - Collaborate daily with Product and Design to define scope, set priorities, and ensure seamless execution. - Keep projects moving forward maintaining clear expectations, realistic estimates, and transparent communication with stakeholders. - Provide technical guidance and context to help engineers make sound architectural and implementation decisions. - Foster a culture of accountability, trust, and learning helping the team grow their impact and autonomy. - Improve team processes, communication, and collaboration across time zones. - Partner with other engineering leaders to ensure consistency and best practices across the broader Growth organization. WHAT YOU BRING - Experience leading engineering teams and delivering high-quality results in a collaborative environment. - Strong people leadership skills you invest in coaching, clarity, and empowerment. - Solid technical foundation; you can engage in design discussions, code reviews, and help engineers make pragmatic decisions. - Familiarity with one or more modern programming languages React and React Native on the front end with a Rust-based backend or Experience in (TypeScript, Go, Nodejs or similar). - A product mindset — you care about how your team’s work impacts users and moves key metrics. - Clear communication and organizational skills, with the ability to align engineering efforts with business goals. - Experience working in distributed, remote-first teams. NICE TO HAVES - Experience with analytics, experimentation, or growth tooling. - Exposure to scaling teams or processes during high-growth phases. - Background in product engineering, building user-facing features and owning delivery from idea to launch Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Intellias Meet your recruiter Yaryna Holynska yaryna.holynska@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Mobile Architect Architect Ukraine Remote APPLY NOW REFER A FRIEND Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to shape the future of driving. Join the team and co-create digital products for the world’s top-tier brands. What project we have for you Our Customer is the European R&D center for the biggest world leading brands. Together, we will work on a new electric mobility technology and solutions that aim to satisfy the global demand for premium electric vehicles. What you will do Define and lead the architecture of complex Android applications using Kotlin Guide and collaborate with engineering teams to ensure high-quality, scalable, and maintainable code Design business-critical features and integration components Lead architectural and design discussions across teams, including product, UX, and backend Mentor senior and mid-level engineers on best practices and architectural principles Conduct code and architecture reviews, ensuring adherence to design patterns and coding standards Optimize applications for performance, security, and scalability Actively contribute to planning, estimations, and technical documentation Collaborate cross-functionally and with distributed teams in a fast-paced, Agile environment What you need for this 7+ years of professional experience in Android development Proven track record of designing and delivering large-scale Android applications in Kotlin Deep understanding of Android SDKs, architecture components, and mobile design patterns (MVVM, Clean Architecture, etc.) Experience architecting business-critical and integration-heavy applications Proficiency in guiding the full mobile development lifecycle Strong ability to articulate complex technical challenges and solutions Self-driven, highly organized, and capable of leading technical initiatives Solid experience designing and maintaining CI/CD pipelines (e.g., GitLab CI, Jenkins, GitHub Actions, etc.) Experience in tools like Jira, Confluence Excellent communication skills in English (Upper-Intermediate level or higher) Will be a plus: Experience in developing Android apps for automotive Head Units Prior experience leading or mentoring engineering teams Familiarity with reactive programming (Kotlin Coroutines/Flow) What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Android Automotive Kotlin Navigation
Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS - Location: Valencia (Paterna), Spain - Reports to: VP Engineering, ICEYE Spain - Employment type: Permanent - Workplace model: Onsite, in the room with the team - SUPO: Employment is subject to applicable security screening. Parts of this work fall under export control. WHY THIS ROLE MATTERS ICEYE builds radar satellites, and nobody yet knows where AI turns a week of hardware design into an afternoon. The vendors who claim to know are mostly wrong. So we're setting up a five-person skunkworks in Valencia to find out, by building real hardware with AI - outside of the program schedules with a pure focus on finding the things that “move the needle”. You'll hire the team of four or five builders and build alongside them. "Lead" here means first builder. You get a room next to the lab and a budget you spend without an approval process, and the team keeps two standing obligations: build something every week and show it to the rest of ICEYE every month. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Build the team: bring in 4 to 5 builders covering electrical (power and digital), RF, mechanical, and agents and tooling. You choose them, and the sponsor holds a veto. - Pick the problems and build them yourself: work only on real design intent, with real frequency bands, power levels, launch loads and interfaces. Think a representative X-band receive chain, a payload power distribution board, a bracket family or a digital backend. Toy problems teach us nothing about where AI breaks. - Run the bet portfolio: keep six to ten live bets, each with an owner and a one-line "this is dead if". The team reviews them monthly and decides to continue, graduate or kill. Roughly a third should die each quarter, including yours. - Hold the budget and spend it: you have full budget authority, with a same-day conversation with the sponsor for anything above 50k. Spend is reported in one table on the demo day slide, and that is the whole finance process. - Get what works into production hands: a capability has graduated when an engineer outside the team uses it without you in the room. That takes a working tool, a one-page how-to, the notebook pages behind it, and one of your people sitting with the receiving team for a month. - Run the team rhythm: something physical or runnable every week, and a public demo day every month that anyone at ICEYE can walk into. Failures get shown too, because they usually teach more. You won't write status reports or sit on steering committees. Spending below the limits needs nobody's permission. WHAT WE'RE LOOKING FOR We're looking for a tinkerer who finishes things. Both halves matter equally, and the combination is rare. You probably have a bench at home with something on it nobody asked for, and it works. You also have a day job designing real hardware to real requirements, so you know the difference between a clever prototype and a thing that survives launch. MUST HAVES - Hardware you designed and shipped yourself (circuit boards, RF chains, mechanisms or structures, any one of them), taken from intent to something measured on a bench - Instincts that come from hardware that got built, measured and signed off, including the judgement to tell when a simulation is lying to you - Code you're not embarrassed by, Python at minimum, because you'll be inside the agent loop daily - Hands-on use of modern AI tooling, with specific opinions about where it's useless - At least one unreasonable thing you built fast, and the ability to show it to us - Experience hiring people, or clear evidence that you know a builder when you meet one - Working English (Spanish helps and isn't required) NICE TO HAVES - Space, defence or another high-reliability domain, so qualification campaigns hold no surprises - Code-defined EDA or CAD, such as atopile, KiCad scripting, build123d or something you wrote yourself - Simulation in the loop (SPICE, FEA or full-wave EM), enough to know when the answer is wrong - Experience running a small team with its own money HOW YOU WORK - You're creative and you deliver. You start unreasonable things and finish enough of them, and you have taste in what to abandon. - You take risks deliberately. You'll spend two weeks attacking the thing everyone says can't be done, write down exactly how it failed, and stop. - You lead through change. You can keep four people steady while everything around them is uncertain, and help them tell the one result worth another month from the demo that will never survive a real requirement. - You're honest in the room. You can tell an executive or a vendor that something doesn't work, without softening it into a recommendation. This may not be the role for you if you want a predictable workday, if you need phases and gates to feel safe, if you lead mainly by reviewing other people's work, or your best story about building something is more than ten years old. WHAT SUCCESS LOOKS LIKE - First 4 weeks: the one-page charter is agreed with the sponsor and the team structure is defined. - By week 12: you've started building before hiring finishes, you and the team have chosen the first two or three design problems, and the bench has its first instruments. - End of month 3: first internal demo day, in whatever state things are in. That date doesn't move. - Over the 18 months: capabilities graduate into production use by engineers outside the team. APPLICATION PROCESS You've probably been turned down for jobs like this one. A CV that reads as scattered, a degree that doesn't match the title, a stint running your own thing that didn't become a company: we read that pattern as a plus. Send us your CV and show us what you built. Interview stages: 1. Recruiter Screen 2. Show us something you built and talk us through what went wrong in it. 3. Spend a day building something with us, on a real problem, with the tools you'd actually use. There's no case study, no panel and no competency grid. We discuss export control and personnel screening openly in the first conversation. WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. This role also comes with a competitive salary and equity. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Minsk Workplace: onsite National Retail Solutions (NRS) is a leading provider of point-of-sale, payment, and digital solutions to tens of thousands of independent retailers across the United States and Canada. Processing millions of transactions daily across a rapidly growing network of high-volume retail terminals, NRS generates massive volumes of operational data. To empower our retailers and internal teams with instant insights, NRS is building a state-of-the-art, high-throughput Real-Time Reporting Engine powered by ClickHouse. This strategic initiative involves modernizing our data infrastructure, building scalable analytical pipelines, and delivering sub-second reporting dashboards for large-scale transaction datasets. We are seeking an experienced Technical Project Manager (Data & Reporting Platform) based in Minsk to join our distributed engineering team. In this role, you will lead the end-to-end delivery of our core ClickHouse real-time reporting platform, coordinating cross-functional efforts across backend engineers (Golang/Node.js/PHP), database architects, data engineers, QA, and frontend developers (Vue.js). The ideal candidate possesses strong technical project management fundamentals, a solid grasp of data systems/ETL workflows, and naturally leverages AI workflows (Claude, Gemini) to optimize sprint planning, write technical specifications, streamline documentation, and track technical deliverables. This role requires 3 days a week in-office work at our Minsk office facility to collaborate in person with our engineering team, along with regular remote collaboration with teams in Israel and the U.S. Responsibilities: Program Execution & Technical Project Delivery Lead end-to-end project execution for our ClickHouse real-time reporting platform, managing schedules, sprint backlogs, dependency mapping, and technical milestones. Partner closely with backend developers, data engineers, and UI teams to plan and execute high-throughput data pipelines, data aggregation flows, and reporting API deployments. Manage technical risks, identify pipeline bottlenecks, resolve execution blockers, and establish clear criteria for platform stability and performance testing. Act as a technical bridge between Product Management, System Architects, and Engineering teams to translate complex reporting requirements into clear user stories and technical tasks. Leverage modern AI productivity tools (Claude, Gemini) to accelerate sprint documentation, analyze project risks, summarize technical alignment meetings, and draft comprehensive project specs. Metrics, Stakeholder Management & Status Reporting Establish and maintain KPIs, execution velocity metrics, and project health dashboards in Jira/Confluence. Provide weekly progress updates to senior leadership, including the VP of Technology, CTO, and key business stakeholders. Oversee SLA requirements, data delivery timelines, and release readiness checklists across global teams. Organize and facilitate cross-functional release management, ensuring smooth rollouts with zero downtime for reporting services. Data Integrations & Cross-Team Collaboration Oversee data integration initiatives with third-party platforms, external data feeds, and internal microservices. Understand partner technical specifications, API structures, data schema expectations, and support escalation paths. Lead Agile ceremonies (Sprint Planning, Daily Standups, Backlog Grooming, Retrospectives) for distributed engineering groups across time zones. Required Qualifications: 5+ years of Technical Project Management experience leading complex software development or data engineering initiatives. Proven Data & Platform Project Management Experience: Hands-on experience delivering projects focused on databases, business intelligence (BI), analytics, ETL/data pipelines, or high-throughput reporting systems. Agile & Jira Mastery: Advanced proficiency in Jira (Scrum/Kanban management, roadmapping, custom workflows, automation) and Confluence documentation. Strong AI Integration Capabilities: A habitual and demonstrated workflow using AI assistants (Claude, Gemini) to optimize project planning, write specifications, summarize requirements, and improve delivery velocity. Technical Understanding of Systems Architecture: Solid conceptual understanding of microservices, REST/gRPC APIs, SQL/database architectures, CI/CD pipelines, and cloud environments (AWS). Scope & Risk Management: Proven ability to manage technical debt, negotiate scope trade-offs with product owners, and clear complex engineering blockers independently. Cross-Functional & International Experience: Exceptional team leadership skills with experience working alongside global teams in the U.S. and Israel. Strong Communication: Excellent spoken and written English, comfortable facilitating technical design discussions and executive briefings. Nice to Have: Experience managing projects involving ClickHouse or other columnar/OLAP data stores (Snowflake, BigQuery, Redshift). Background in managing high-availability, low-latency financial, transaction, or POS reporting environments. Familiarity with data visualization tools or reporting dashboards (Grafana, Tableau, Metabase, custom Vue.js dashboards). PMP, PMI-ACP, CSM (Certified Scrum Master), or equivalent Agile/Project Management certifications. Work Schedule & Location: Location: Minsk, Belarus (Office). In-Office Requirement: 3 days per week at our Minsk office facility. Time Zone Overlap: At least 3 hours of daily overlap with U.S. Eastern Standard Time (EST). What We Offer: A central role in delivering a high-impact, real-time data engine for the U.S. retail tech market. Direct collaboration with highly skilled engineering and product leadership in Minsk, Israel, and the U.S. Clear career advancement opportunities within a rapidly scaling data platform team. Competitive compensation package. Our benefits: Hybrid work opportunity! Modern office with free parking in the very center of Minsk. An exciting and challenging job with talented people around. Competitive salary and growth opportunities. Really good hardware. 26 vacation days & 5 fully covered sick days without sick leave required per year. Compensation for professional training, seminars, and conferences. Sports activities reimbursement and loyalty program. Medical insurance. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing. NRS is now expanding into a completely new vertical: restaurant technology.We are building a brand-new Restaurant POS platform, a modern and highly capable system designed specifically for restaurant operations. This is one of the most significant product expansions in NRS history and will open a major new market for the company.This is a real opportunity to help build something new and important.
Задачи: — Разрабатывать и улучшать пользовательские функции iOS-приложения в ключевых продуктовых сценариях — Вести продуктовые и технические инициативы от определения проблемы до результата в продакшне — Переводить бизнес-задачи и потребности пользователей в практические технические решения без ожидания полностью подготовленного ТЗ — Разрабатывать надёжные клиент-серверные интеграции и учитывать реальные edge cases в production — Улучшать архитектуру приложения, качество кода, производительность, стабильность и поддерживаемость продукта — Определять критерии успешности новых функций, отслеживать результаты после релиза и улучшать решения на основе полученных данных — Участвовать в code review, развитии инженерных стандартов и обсуждении продуктовых и технических решений — Тесно взаимодействовать с продакт-менеджерами, дизайнерами, аналитиками, backend-разработчиками и другими mobile-инженерами Требования: — Способность начинать работу с понимания бизнес-цели и пользовательской проблемы, а не только с готового технического задания — Умение превращать неопределённые задачи в понятные решения и конкретный план реализации — Навыки самостоятельного предложения улучшений продукта, UX, производительности, стабильности и технической архитектуры — Опыт ведения инициатив end-to-end: от обсуждения проблемы и разработки решения до релиза, мониторинга результатов и последующих итераций — Понимание влияния технических решений на пользовательский опыт и бизнес-метрики — Умение обсуждать компромиссы, аргументировать технические решения и доводить инициативы до результата — Использование продуктовых данных и результатов экспериментов для оценки эффективности реализованных функций
Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our client is building the standard path for governed data sharing across product services, analytics, and AI/ML. The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale. This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Our client already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation. The challenge is to turn that reality into a standard path that engineers actually want to use. Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata. Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across the client’s operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline. You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption. Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code. Build tooling that gives product engineers fast feedback before they publish or change data products. Help define how client models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution. Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery. Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes. Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations. What you need for this Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments. Deep understanding of distributed systems trade-offs: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, and operational failure modes. Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance. Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies. Direct Debezium experience is valuable, but strong fundamentals matter more. Experience building software that other engineers use: CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows. Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership. Ability to turn ambiguous architectural direction into practical increments, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty. Clear written and spoken communication in English. This role involves aligning multiple engineering teams around standards, contracts, and ownership boundaries. Nice to have: DataHub or other data catalog, lineage, or governance systems. Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems. GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems. Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing. Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations. Experience with JVM languages and Python, TypeScript, Go, or Ruby. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Задачи: — Участвовать в release-процессе и обеспечивать качество продукта на всех этапах — Разрабатывать и поддерживать E2E-автотесты на Playwright — Разрабатывать и поддерживать API-автотесты — Проводить ручное тестирование frontend- и backend-частей продукта — Тестировать REST API и WebSocket — Работать с продуктом на микросервисной архитектуре — Менторить QA-инженеров и участвовать в развитии экспертизы внутри команды Требования: — Опыт работы в QA от 5 лет — Сильная экспертиза в ручном тестировании frontend и backend — Опыт автоматизации тестирования на JavaScript / TypeScript — Практический опыт работы с Playwright — Опыт тестирования REST API и WebSocket — Понимание принципов микросервисной архитектуры — Уверенные навыки работы с SQL — Опыт работы с CI/CD Условия: — Качественный профессиональный опыт, развитие навыков и комфортную рабочую атмосферу — Гибкое начало рабочего дня с 9:00 до 11:00 — Комфортный удаленный формат работы из любой точки мира — Частичную компенсацию медицинской страховки после испытательного срока — Компенсацию занятий спортом, английского языка и сессий с психологом — Возможность релокации в страны присутствия офисов, техника для работы — Корпоративные мероприятия, выезды на природу, тимбилдинги и мастер-классы, корпоративная библиотека
Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Information Security Security Engineer Strong Middle Bulgaria, Canada, Croatia, Cyprus, Egypt, Germany, India, Japan, Malta, Poland, Portugal, Saudi Arabia, Spain, Ukraine, United Arab Emirates, United Kingdom Remote APPLY NOW REFER A FRIEND We are looking for a Policy Engineer to design, implement, and validate fine-grained authorization policies for AI agent platforms and cloud-native services. The role focuses on Cedar policy development, identity provider integrations, policy enforcement, and attribute-based access control. The ideal candidate combines hands-on security engineering experience with strong Python skills and a deep understanding of modern authorization architectures. What project we have for you Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. What you will do Design, implement, and maintain authorization policies using Cedar policy language. Develop and test policy definitions, validation workflows, and policy enforcement mechanisms. Configure and manage AWS AgentCore Policy in LOG_ONLY and ENFORCE modes. Build Python-based tooling for policy validation, testing, and governance. Integrate authorization frameworks with Microsoft Entra ID and other identity providers. Design claims mapping and token-based authorization flows using OAuth 2.0 and JWT. Implement fine-grained and parameter-level access control models. Develop and maintain ABAC and RBAC authorization patterns for platform services and AI agents. Partner with platform and security teams to ensure secure access governance across distributed systems. Create auditability and traceability mechanisms for authorization decisions. Support adoption of policy-as-code practices and authorization best practices. What you need for this • Cedar policy language — authoring and testing • AWS AgentCore Policy LOG_ONLY / ENFORCE modes • Python (policy validation tooling) • MS Entra claims mapping • Parameter-level access control patterns Experience: • 3+ years security engineering or backend engineering • Identity provider integration (Entra, Okta, Cognito) • Policy definition in any ABAC or RBAC system • Open Policy Agent (OPA) or Cedar hands-on Will be a plus: • LangGraph tool invocation patterns • AWS AgentCore Gateway integration What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Location: London Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve. Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health. We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: Россия Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы в поиске Golang разработчика, который присоединится к нашей команде и будет развивать платформу лояльности, а именно - сервисы, реализующие экосистемный промодвижок . Основная миссия команды "M+ Engine" - предоставление награды конечному пользователю за выполнение условий. Каждый запрос пользователя (online - из приложения, offline - с кассы магазина) - это проверка большого количества правил, персональных предложений, наличия промокода и выдача какого-либо бенефита (бонусы, скидка и так далее). Все это нужно делать за минимальное время, тем самым решая не только технологическую задачу, но и придумывая комбинаторные подходы обсчета самого выгодного предложения. Команда: Teamlead, 3 Go разработчика, 2 QA. Стек: Golang, Postgres, CH, Kafka, Redis, gRPC. Задачи Внедрять современные технологии и подходы к разработке (Apache Kafka, gRPC) Создавать новые микросервисы Участвовать в выстраивании архитектуры промодвижка (гибкие настройки, гибкие награды, большие объемы данных) Писать unit и функциональные тесты Писать код, проводить ревью Требования Опыт коммерческой разработки на Go от 3-х лет Опыт коммерческой разработки backend от 5 лет Понимание протоколов HTTP/GRPC Знания устройства баз данных Условия Оформление в аккредитованную ИТ-компанию; Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах Развитие – мы оплачиваем обучение на курсах и участие в конференциях Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Наличие корпоративных скидок PRIMEZONE и программ лояльности от компании Наличие корпоративной библиотеки курсов Возможность рекомендовать компанию своим друзьям, участвуя в реферальной программе Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно
Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. The Role You will design, build and run the systems behind our data products, covering ingestion, processing, analytical storage and serving. You own your work from the design document through to production. The people who design a pipeline also run it and answer for its numbers. Our stack is very wide, and we go deep in every part of it. We don't stop at "it works." We keep measuring, profiling and tuning to make systems faster, cheaper and more reliable. We want engineers who are razor sharp, pay close attention to detail, and care as much about why a query takes 800 ms as whether it returns the right answer. You don't need blockchain experience. If you're a strong data engineer who wants to learn it, we'd like to hear from you. What You'll Do Design and build scalable, high-throughput data pipelines and platform systems for blockchain data across 30+ chains. Build backend data services and loaders in Go and Python. Design and evolve data models and analytical workloads in ClickHouse, and tune them for sub-second queries. Build incremental, idempotent pipelines on Databricks over billions of rows and tens of terabytes. Keep improving the scale, reliability, freshness, performance and cost efficiency of the platform. Investigate hard performance and reliability problems and see them through to resolution. Work closely with the product, analytics and investigations teams that use the data, and turn their needs into platform designs. Help set technical direction through architecture discussions, design reviews and code reviews. Mentor engineers and help set strong engineering and operational practices. What You Bring 5+ years building and operating production data systems, including ETL and ELT pipelines. At least two of those years should be spent owning systems that other engineers depend on. Expert Python and strong SQL. You write typed, tested code, are comfortable with asyncio and concurrency, and have built incremental data models over billions of rows. Go for backend services. You have built and run high-throughput services or data loaders in Go in production. ClickHouse in production. You know MergeTree schema and sort-key design, materialised views, bulk loads and query tuning. Databricks in production. You have worked with PySpark, Delta Lake and Unity Catalog, designed incremental and idempotent tables, and kept an eye on compute cost. Large-scale data. You have hands-on experience with pipelines over billions of rows and tens of terabytes. You understand how partitioning, clustering and file sizing affect cost and latency. Kafka, Airflow and Kubernetes in production. You understand delivery semantics and idempotent writes, have handled backfills and failures, and have run data workloads with Docker and Helm. Google Cloud is preferred; AWS is fine. An operations and communication mindset. You instrument what you build, write runbooks and post-incident reviews, and can write a design document that a reviewer in another time zone can approve. Nice to Have Blockchain data: EVM, UTXO or non-EVM chain data models, and pulling data from nodes over JSON-RPC or gRPC. Graph or distributed key-value stores: entity resolution or clustering on large graphs. Infrastructure as code, GitOps and observability: Terraform, Helm, ArgoCD, OpenTelemetry, Prometheus and Grafana, and load-test design. Experience building platforms that serve multiple data sources, datasets or product teams. AI-assisted development, and experience in fintech, compliance or AML. How We Work You'll join a small, senior team where everyone owns their work end to end. We make decisions based on measured evidence, not opinion. We keep design notes and runbooks next to the code. We test at production scale and run blameless post-incident reviews. We use AI coding tools every day, and we use judgement when reviewing what they produce. ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health. We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Разрабатывать новые функциональные модули и дорабатывать существующие на Angular и NestJS. Развивать функциональность аналитики, уведомлений, модерации и работы с видео.
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