Вакансии

Разработка и поддержка интеграций с партнёрами: синхронные REST-вызовы, вебхуки/callback, асинхронные сценарии через Redis-очереди и Kafka; Багфикс и инциденты: разбор по трафик-логам ClickHouse, Sentry/Loki/Grafana, история переходов state machine, сверки с партнёрами;

Требования: — Опыт работы с Go не менее 5 лет — Обязателен опыт работы в продуктовой компании Формат работы: удалённо Местоположение: Москва

— Разработка и развитие ключевых веб-сервисов платформы на базе Django/DRF.

Location: Ukraine; Poland Workplace: Remote About Patrianna Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent-smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve.   AI-DRIVEN ENGINEERING CULTURE We are actively building an AI-driven engineering organization with a clear and deliberate stance: artificial intelligence is a core part of how we build and deliver software — not an experiment, not a trend, and not an optional add-on. AI is embedded into our engineering workflows, from system design and prototyping to refactoring, testing, and code review. We rely on AI to significantly influence how work is done and to accelerate delivery, while maintaining a high bar for code quality, system reliability, and architectural clarity. We expect engineers to be fully comfortable working in AI-driven environments and to treat AI as a primary productivity multiplier. Preference for AI-free workflows or resistance to AI-assisted development is NOT aligned with how we operate. Strong engineering judgment, architectural ownership, and accountability remain essential. AI amplifies our engineers — it does not replace responsibility for technical decisions.   What you will be doing • Design and deliver clean, scalable, and testable Java-based backend systems with minimal supervision • Collaborate with cross-functional teams including backend, web, mobile, QA, and product teams • Take ownership of specific services or functional areas within our large-scale architecture • Leverage AI tools and assistants as integral parts of your development workflow—from system design to code review • Contribute to maintaining high test coverage, predictable production behavior, and seamless scalability • Drive engineering excellence through modern practices and continuous improvement What we are looking for • Extensive production experience with Java and its ecosystem • Solid understanding of relational database principles (preferably PostgreSQL) and messaging concepts (preferably Kafka) • Strong system design, troubleshooting and debugging capabilities • Comfortable and proactive in using AI coding assistants (GitHub Copilot, Claude Code, etc.) as productivity multipliers • Practical experience validating, refining, and taking ownership of AI-generated output • Upper-intermediate or higher level of English   Why you will love it You'll be at the forefront of AI-driven engineering in a fast-scaling environment where your code directly impacts millions of users. Work with cutting-edge technology (latest Java, Spring Boot, GCP, Kubernetes) while enjoying full remote flexibility, generous leave, and real opportunities for growth. Join a team that treats AI as a core engineering tool—not an experiment—and where engineering excellence, speed, and meaningful impact are part of everyday work.

— Делать фичи поверх ядра: аналитические джобы, автоматизация, governance-сценарии.

Location: Milan Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact As an Application Engineer I in the Hosted Integrations team, you'll help bring e-commerce platform integrations that were built by external consultants back into Mollie's unified e-commerce gateway codebase. You'll work on key high-volume partner integrations, including Shopify, Wix, Lightspeed and Mirakl, and more to come, while we explore a native integration for Salesforce. This is primarily a backend role in Java, where you'll connect services into the wider Mollie ecosystem. The work matters. By keeping high-volume payment processing smooth across major global e-commerce platforms, you directly support Mollie's commercial goals and partner relationships, and you remove financial friction for merchants. You'll have high visibility and a direct line to key revenue drivers. At this level, you move from individual tasks to owning small projects within the team, maintaining and extending the systems you work on, and speaking up when you need help to get unblocked. You'll be part of the only engineering team in the Commercial Partnerships domain, so you'll have the chance to help shape the engineering craft there. You'll work with mature core gateway systems, help scale integration architectures, and learn alongside senior engineers who are stepping into technical leadership. What you'll ship - Get up to speed on the e-commerce gateway system - Bring integrations built by external consultants back into Mollie's unified e-commerce gateway codebase - Streamline and maintain existing e-commerce integrations, so high-volume transactions are processed reliably - Deliver small, clearly defined projects within the team from start to finish - Write testable, readable code and contribute to documentation when needed - Monitor, maintain and extend the systems within the team's scope, and take part in support rotations with help from more experienced teammates - Share progress and blockers with the team and stakeholders, and track the outcomes of your work with relevant metrics What you'll bring - 3+ years of professional in software engineering experience - A strong professional background in full-stack software engineering - Proficiency in Java and object-oriented programming - Proficiency in React and/or React Native - Experience working with scalable applications or gateway systems - A good understanding of cloud environments, with Google Cloud Platform preferred - Excellent English communication skills Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

-Проектировать архитектуру и разрабатывать ключевые сервисы высоконагруженной платформы. -Развивать асинхронную, событийно-ориентированную архитектуру на базе Apache Kafka.

Location: Singapore; Philippines; Indonesia; Australia; Thailand; Khazakstan; Armenia Workplace: Remote Location: Fully Remote (Singapore time zone) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time ABOUT THE OPPORTUNITY Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location. WHAT YOU'LL DO - Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team. - Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities. - Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue. - Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting. - Automate repetitive workflows across sourcing, qualification, lead routing and reporting. - Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact. - Explore and implement AI agents where they provide clear advantages over traditional automation. - Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Strong programming skills in Python or TypeScript, with fluent SQL. - Experience building internal tools, automations or integrations used by other teams in their day-to-day operations. - Hands-on experience developing data pipelines and API integrations between different business systems. - Strong problem-solving skills and the ability to translate business needs into practical technical solutions. - Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth. - Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments. Nice to Have: - Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering. - Hands-on experience implementing LLMs or AI agents in production environments. - Previous experience in an early-stage startup or as a founder. - Familiarity with AI training data, including RL environments, evaluations and benchmarks. We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most. WHY THIS OPPORTUNITY - Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation. - High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale. - Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. - Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. - Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours. EQUAL OPPORTUNITY & PRIVACY Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: Fully Remote (Pacific time zones) Start Date: ASAP Languages: Fluent English required Industry: AI / Data Infrastructure Team: Go-to-Market (GTM) Type: Full-time ABOUT THE OPPORTUNITY Pragmatike is hiring a GTM Engineer on behalf of a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Its marketplace connects data providers with leading AI companies, including startups, Fortune 500 companies and frontier AI labs. Backed by leading venture investors, including Y Combinator, the company is scaling rapidly and expanding its commercial operations. The company operates a two-sided marketplace where leading AI labs specify the data they need, and the commercial team identifies businesses and individuals who can provide it. As the business grows, the focus is shifting towards building the systems and infrastructure needed to scale these operations efficiently. As a GTM Engineer, you'll approach go-to-market as an engineering challenge. You'll own the technical infrastructure behind the commercial team, building data pipelines, automations, integrations and internal tools that help a lean team source, qualify and close opportunities at scale. This is an engineering-first role with a strong commercial focus, ideal for someone who enjoys building practical systems, solving operational bottlenecks and working closely with sales teams and founders. The company has offices in San Francisco and Singapore, with remote opportunities also available. Working hours will align with either Singapore or US Pacific business hours, depending on your location. WHAT YOU'LL DO - Own the GTM tooling stack end to end, including selecting, configuring, integrating and maintaining the tools used by the commercial team. - Build scalable sourcing systems, including scrapers and data enrichment pipelines, to identify relevant data providers and opportunities. - Develop and maintain the data infrastructure behind GTM, connecting CRM, marketplace and product data into a reliable source of truth for pipeline, listings and revenue. - Build internal tools to support provider research, listing quality checks, pipeline management and sales forecasting. - Automate repetitive workflows across sourcing, qualification, lead routing and reporting. - Identify operational bottlenecks with the founders and commercial team, prioritising automation projects with the highest impact. - Explore and implement AI agents where they provide clear advantages over traditional automation. - Make build-versus-buy decisions for GTM tooling, keeping the technical stack efficient, reliable and easy to maintain. WHAT WE'RE LOOKING FOR - 2+ years of professional software engineering experience. - Strong programming skills in Python or TypeScript, with fluent SQL. - Experience building internal tools, automations or integrations used by other teams in their day-to-day operations. - Hands-on experience developing data pipelines and API integrations between different business systems. - Strong problem-solving skills and the ability to translate business needs into practical technical solutions. - Commercial awareness and an interest in revenue operations, with the ability to understand sales workflows and prioritise projects that directly support business growth. - Clear written communication skills and the ability to take ownership in ambiguous, fast-moving environments. Nice to Have: - Experience in RevOps, growth engineering, sales engineering or forward-deployed engineering. - Hands-on experience implementing LLMs or AI agents in production environments. - Previous experience in an early-stage startup or as a founder. - Familiarity with AI training data, including RL environments, evaluations and benchmarks. We're open to motivated candidates who don't meet every requirement. Strong engineering fundamentals, ownership and the ability to learn quickly are what matter most. WHY THIS OPPORTUNITY - Build systems that drive revenue: Develop the tools, integrations and pipelines that power the entire commercial operation. - High impact in a lean team: Automate critical workflows and help a small GTM team operate at significantly greater scale. - Work directly with founders: Collaborate closely with the founding and commercial teams, identifying problems and deciding what is worth building. - Work with modern AI tooling: Explore and implement AI agents and automation solutions where they deliver real operational value. - Flexible working setup: Choose between on-site opportunities in San Francisco or Singapore, or remote work aligned with Singapore or US Pacific business hours. EQUAL OPPORTUNITY & PRIVACY Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

🏗️ Design robust backend architecture and scalable microservices. ⚙️ Develop high-performance REST APIs and real-time WebSockets.

Задачи: — Разработка low-latency архитектуры и кода на Rust — Реализация дельта-нейтральных стратегий от идеи до запуска в продакшен — Работа с сетью, железом и proximity к бирже — Обработка потоковых данных с использованием Kafka и ClickHouse — Разработка ончейн/DeFi компонентов и бэкенда под AI-агентов Требования: — Опыт создания торговых движков или low-latency торговых систем (свои стратегии или по техническому заданию) — Минимум 3 года опыта работы с production Rust или сильный опыт в low-latency C++ и уверенное владение Rust — Глубокое понимание задержек (latency) как в коде, так и в железе и сети — Опыт запуска стратегий, которые реально приносили доход — Способность самостоятельно ставить задачи и доводить их до результата Условия: — Полностью удалённая работа — Частичное пересечение по времени с часовым поясом UTC+3

Location: Москва Workplace: В офисе О компании МТС Банк - команда, которая развивает цифровые финансовые сервисы и делает их доступными для всех. Мы работаем с современным технологическим стеком, высоконагруженными системами и облачной инфраструктурой, внедряем лучшие инженерные практики. Такой подход позволяет создавать надежные решения для бизнеса и клиентов. Обязанности разрабатывать и тестировать изменения стратегии принятия кредитных решений анализировать поступающие требования на реализацию изменений стратегий принятия кредитных решений формировать и актуализировать техническую документацию по системе принятия кредитных решений разрабатывать интеграционные механизмы для использования сведений внешних сервисов формировать патчи в рамках принятых практик DevOps Банка Требования знание Java\\SQL\\PLSQL\\Gitlab\\SVN опыт оптимизации SQL запросов (Oracle, Postgres) опыт работы с ORACLE, промышленными ETL-средствами навыки обследования предметной области, анализа и моделирования бизнес-процессов навыки взаимодействия с заказчиками и исполнителями Будет плюсом: опыт разработки СПР (Talys.SDE или SAS RTDM) Условия У нас ваши идеи не потеряются: предлагайте и обсуждайте, ищите новые решения и экспериментируйте. Мы всегда поддержим вас, а ещё предложим: достойную заработную плату ДМС со стоматологией с первого месяца работы офисный формат работы доступ к корпоративной библиотеке регулярные образовательные курсы и тренинги от корпоративного университета внешнее обучение цифровое пространство (безбумажный прием на работу, коворкинг, электронный документооборот) специальный тариф на мобильную связь скидки и бонусы на продукты и услуги от МТС, МТС Банка и партнёров программу Best Benefits отсутствие дресс-кода кафе «Мечта» с полезными завтраками и вкусными обедами корпоративный спорт: йога, беговой клуб, вело-сообщество и другие тренажерный зал в офисе детские дни и подарки программу материальной помощи в различных жизненных ситуациях социальные проекты (раздельный сбор мусора, фандоматы, благотворительные ярмарки и волонтерские акции)

- Проектирование, разработка и поддержка микросервисов на языке Go для системы телефонии. - Опыт коммерческой разработки от 5 лет.

Работать с менеджерами продуктов для проектирования и реализации продуктов Ads.

– Опыт коммерческой разработки на Python от 3 лет. – Уверенное владение asyncio и понимание конкурентного выполнения, таймаутов, повторных попыток и контроля нагрузки.

Разрабатывать и развивать механизмы загрузки данных из источников (CDC, S3, REST, Oracle); Проектировать и поддерживать структуры хранения staging-слоя в Oracle (партиционирование, сжатие, индексы);

Задачи: — Разработка и поддержка backend-части системы оплаты проезда на Java. — Интеграция с платежными шлюзами и внешними сервисами. — Проектирование и оптимизация архитектуры высоконагруженных сервисов. — Работа с технологиями смарт-карт и мобильными платежами. — Реализация новых функций и развитие существующего функционала. — Написание модульных и интеграционных тестов с использованием JUnit, Mockito, Test Containers. — Участие в code review и обмене экспертизой внутри команды. Требования: — Опыт коммерческой разработки на Java от 3 лет. — Отличное знание Java Core и Spring Framework (включая Spring Boot, Spring JPA, Hibernate). — Практический опыт работы с Kafka. — Навыки написания тестов с использованием JUnit, Mockito, Test Containers. — Владение инструментами Gradle, Maven, Docker, Git. — Опыт работы с баг-трекерами (например, Taiga, Mantis). — Понимание принципов работы платежных систем и интеграции с платежными шлюзами. — Знание технологий смарт-карт.

• Разрабатывать функционал новых сервисов (.NET, EF Core, PostgreSQL, Kafka, Keycloak, Jenkins, k8s, Docker, React/TypeScript). • Владение C# на уровне senior от 5 лет.