Location: Spain
Workplace: fully
About the Client
Our client develops white-label payment and financial software for businesses and financial service providers. Its modular platform supports payments, accounts, cards and operational workflows through APIs and integrations.
Role Overview
Turn AI ideas into reliable production systems with measurable business impact. You will define the architecture and roadmap for LLM-powered solutions, including agents, RAG and automated workflows. Working with skilled engineering, product and security colleagues, you will take initiatives from proof of concept to production using modern cloud infrastructure, Docker and Kubernetes.
Key Responsibilities
Define the AI architecture and technology roadmap in line with business objectives.
Design and implement scalable AI and LLM-powered solutions, including agents and automated workflows.
Develop RAG architectures, semantic search and enterprise knowledge systems.
Evaluate AI models, platforms and infrastructure for performance, security and cost.
Integrate AI solutions with existing APIs, backend systems and microservices.
Establish standards for AI evaluation, monitoring, observability and security.
Collaborate with Engineering, Product and Security teams to deliver measurable business impact.
Guide AI initiatives from proof of concept to production and promote engineering best practices.
Requirements
8+ years of software engineering experience, including architecture or technical leadership.
Proven experience designing and deploying production-grade AI or LLM-powered systems.
Strong knowledge of Generative AI, LLM APIs, RAG, embeddings and vector search.
Experience with AI agents, tool calling and workflow orchestration.
Strong backend architecture skills, including distributed systems, microservices and APIs.
Familiarity with cloud platforms, Docker, Kubernetes and modern infrastructure.
Understanding of AI evaluation, monitoring, security, privacy and data governance.
Ability to balance solution quality, scalability, latency and cost.
Fintech or payments experience is an advantage.
Knowledge of Russian or Ukrainian is required.
Ability to work remotely with reasonable overlap with Central European Time (CET).
Key Soft Skills
Ownership and accountability for architectural decisions and delivery.
Cross-functional collaboration with engineering, product and business stakeholders.
Clear communication of technical concepts and trade-offs to different audiences.
Adaptability as AI technologies develop, with a focus on practical business value.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Spain; Ability to work remotely with reasonable overlap with Central European Time (CET)
— Встраивать автоматические проверки безопасности в GitLab CI/CD и разбирать результаты AI-анализа; — Обеспечивать защиту, мониторинг и безопасное развертывание в Kubernetes, PostgreSQL, ELK, Grafana;
• Поддерживать Linux, Kubernetes и сервисы в нескольких площадках и окружениях. • Обеспечивать доступность тракта ASIC → Miner Agent / gateway / Stratum → upstream.
ГибридseniorГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Продукт: высоконагруженная рекламная сеть TrafficStars с 10+ лет на международном рынке, регистрирующая свыше 7 млрд событий в сутки в кластере ClickHouse 3,6 петабайт, более 500 серверов в дата-центрах Европы и США, обрабатывающая более 1 млн запросов в секунду в пиковые часы.
Роль: работа в продуктовой команде разработки, ответственность за доставку от коммита до продакшена и наблюдаемости сервисов команды. Взаимодействие с инфраструктурной командой, которая отвечает за кластеры баз данных и хранилищ.
Задачи:
— Тесное взаимодействие и поддержка продуктовой команды разработки, участие в планировании, работа напрямую с разработчиками;
— Создание и поддержка helm-charts, kustomize и GitLab CI/CD pipelines;
— Создание и эксплуатация различных окружений от тестирования до продакшена;
— Настройка мониторинга, алертинга и логирования для сервисов команды;
— Обеспечение стабильной работы сервисов в сотрудничестве с инфраструктурной командой;
— Обнаружение потенциальных проблем и участие в создании решений по их устранению;
— Поиск, тестирование и внедрение новых решений для оптимизации процессов и повышения качества услуг.
Требования:
— Уверенное понимание принципов работы Kubernetes;
— Уверенный Linux;
— Опыт работы с Git, GitLab, GitLab CI;
— Опыт работы с Prometheus stack;
— Опыт работы с ELK/EFK;
— Опыт работы с брокерами сообщений (Kafka);
— Знание любого скриптового языка программирования;
— Опыт работы бок о бок с разработчиками, а не через очередь тикетов;
— Готовность быстро погружаться в незнакомые сервисы и технологии.
Будет плюсом:
— Опыт работы с ClickHouse, PostgreSQL, Redis, Aerospike на уровне уверенного пользователя;
— Опыт работы в продуктовой или платформенной команде на highload-проекте.
Условия:
— Отсутствие дресс-кода и бюрократии;
— Рабочий ноутбук на выбор: Mac или PC;
— Покупка билетов до Кипра за счёт компании;
— Помощь с переездом семьи из любого региона;
— Рабочая виза для сотрудника и гостевая виза для членов семьи;
— Предоставление жилья на первый месяц;
— Медицинская страховка и мобильная связь;
— Бесплатные обеды и напитки;
— Всегда полные корзины фруктов и вкусняшек в офисе;
— Бесплатные курсы английского и греческого языков;
— Оплата занятий спортом;
— Частичная оплата школ и детских садов.
ОфисseniorЛимассол; Вакансия подразумевает релокацию вместе со всей семьей на Кипр, в г
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
The
UP - Analytics - Middle Office
team is looking for an outstanding
Quant Developer
with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team build and maintains services which:
Calculate analytic measures across many asset classes
Predict theoretical market outcomes based on user-defined what-if scenarios
Return analytics for any time horizon
We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. We’re looking for talented software engineers with proven experience in the trading and finance industry.
Responsibilities:
Partner closely with stakeholders and quantitative teams to design and implement complex financial modeling solutions
Leverage your expertise in finance and quantitative analysis to architect robust, scalable analytics systems
Write readable and well-tested code in multiple languages, paradigms, and platforms
Collaborating with various business, development, IT, and trading support teams
Provide on-call support as part of our team-wide rotation
Keep open communication with our users for support, testing, and ensuring understanding of their needs
Qualifications:
Experience using applied mathematics (linear algebra, optimization, numerical methods)
Strong understanding of statistics and probabilities
Quantitative modeling of financial products and derivatives
Fluent in functional, object-oriented, or imperative programming languages
Competent in distributed version control, CI/CD, Docker, and Kubernetes
Familiarity with:
One of the following programming languages: Elixir, Python, Java, C#
One systems level programming language: C, C++, Rust
Pricing, risk management, and portfolio analytics
Exchange-traded financial assets, statistics, or financial engineering
Data structures and design/analysis of algorithms
Personal traits:
Possesses the ability to learn, adapt and grow
Demonstrates personal humility, respect for others, and trust in their teammates
Capable of independently driving projects to completion but prefers collaborating with teammates
Excellent problem-solving and debugging skills, but has better listening and communication skills
The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-SH1
Задачи:
— Развитие и поддержка IT-инфраструктуры в высоконагруженном гео распределенном проекте
— Обеспечение бесперебойной работы инфраструктуры и сервисов
— Сопровождение bare-metal кластеров Kubernetes
— Сопровождение кластеров ClickHouse, Kafka, PostgreSQL, Aerospike
— Автоматизация процессов
— Обнаружение потенциальных проблем и участие в создании решения по их устранению
— Поиск, тестирование и внедрение новых решений, помогающих оптимизировать текущие процессы и повысить качество предоставляемых услуг
Требования:
— Опыт администрирования Linux серверов
— Опыт администрирования Kubernetes
— Опыт администрирования ClickHouse, PostgreSQL, Redis
— Опыт работы с брокерами сообщений (Kafka)
— Понимание принципов Infrastructure as Code (IaC)
— Опыт работы с Prometheus stack
— Опыт работы с ELK/EFK
— Опыт работы с Aerospike (будет плюсом)
— Опыт использования GitLab CI (будет плюсом)
— Опыт автоматизации с помощью Ansible (будет плюсом)
— Владение любым языком программирования или скриптовым языком (Python, Bash, Go и др.) (будет плюсом)
Условия:
— Полная занятость (full-time)
— Отсутствие дресс-кода и бюрократии
— Рабочий ноутбук на выбор: Mac или PC
— Покупка билетов до Кипра за счёт компании
— Помощь с переездом семьи из любого региона
— Рабочая виза для сотрудника и гостевая виза для членов семьи
— Предоставление жилья на первый месяц
— Медицинская страховка и мобильная связь
— Бесплатные обеды и напитки
— Всегда полные корзины фруктов и всяких вкусняшек в офисе
— Бесплатные курсы английского и греческого языков
— Оплата занятий спортом
— Частичная оплата школ и детских садов
ОфисseniorЛимассол; Вакансия предполагает релокацию на Кипр
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Player Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Commerce, hardware, game play, products and services, and accounts.
This is a hands-on senior individual contributor role. You will partner with engineering, platform, product and business teams. Take end-to-end ownership of complex solutions and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready Player data foundations.
What you'll be doing:
Design, deliver and maintain Player data solutions
Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across Player data systems, APIs, Snowflake Db and cloud data environments.
Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions.
Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective.
Own quality, reliability and operations
Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement.
Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks.
Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency.
Provide technical leadership and collaborate
Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice.
Partner with TPM’s, business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership.
Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly.
Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls.
What we're looking for:
Typically 5+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions.
Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies.
Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles.
Experience with orchestration, Kubernetes, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services.
Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments.
Experience leveraging AI coding assistants, agentic workflows, and AI-driven development tools to accelerate engineering productivity and improve code quality.
Familiarity with building or integrating AI agents into data engineering workflows would be a strong plus.
Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders.
Bachelor’s degree in a relevant discipline or equivalent practical experience.
Desirable Experience
Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks.
Experience with AWS services, APIs, event-driven integration and infrastructure as code.
Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices.
Experience working with globally distributed teams and supporting cross-functional transformation programs.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Развитие и поддержка ML-инфраструктуры (Linux, Docker, Kubernetes, Python, GitLab CI, Git, Kubeflow, Prometheus, Grafana Airflow S3 / MinIO HelmPyTorch / TensorFlow Fine-tuning — LoRA, QLoRA, PEFT Дистилляция RAG,Hugging Face Quantization, ONNX, TensorRT). Интеграция LLM и других моделей в продакшн-окружение.
Location: Paris
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
About the role:
As a Senior Software Developer at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally.
In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Orchestration technologies as well as Generative AI and Computer Vision technologies.
You will be expected to work closely and collaboratively with Product, DevOps, DataScientist, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com.
What you will be doing:
• Drive the design and development of innovative, complex and scalable applications for real-world identity verification challenges in a wider microservices using industry best practices.
• Take full ownership of new and existing features and service, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment.
• Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives.
• Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization.
• Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
• Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
• Build, own and operate your systems to the highest levels of resilience and service.
• Mentor junior team members and assist in their technical development
What are we looking for:
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Over 5 years of experience as a Software Engineer working with complex, large-scale, and diversified applications and tech stacks.
• Proficiency in C# .NET, with a strong understanding of software development principles in either a backend or full stack environment.
• Great communication skills and ability to interact effectively with a wide range of stakeholders
• Experience working in agile environments and delivering high-quality code within tight deadlines
• Excellent problem-solving skills and the ability to work independently as well as part of a team
• Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity
• Payments or financial knowledge is a plus, but not a necessity
• French language proficiency at a minimum B2 level
Bonus Points:
• Experience with Cloud and Infrastructure technologies like AWS, GCP, Azure, Kubernetes, prometheus...
• Experience with Databases like Postgresql, Mongo, Redis, ...
• Direct experience solving real-world business problems through innovative, data-driven approaches.
• Any experience in other programming languages not mentioned above.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
-Реализацией стратегии разработки в команде. -Выступать в роли TeamLead разработки на проекте, а также осуществлять дальнейшее развитие и сопровождение системы.
Location: Москва
Команда продукта «Smart Support» работает для 200 тысяч сотрудников Сбера и занимается разработкой удобных и комфортных инструментов ИТ-поддержки.
Наши сервисы направлены на поддержку и решение проблем пользователей с оборудованием (ПК/ноутбук, мобильные устройства, принтера, ВАРМ и т.д),
а также решением проблем с программным обеспечением на этом оборудовании.
Сейчас мы активно внедряем AI-агентов в процессы онлайн и оффлайн поддержки, которые позволяют нативным и более быстрым образом решить проблему или вопрос клиента.
Обязанности
\- разрабатывать агентов и мультиагентные сценарии
\- улучшать качество агентов на основе разметки и данных из production
\- развивать RAG, Agentic RAG, работу с инструментами и базами знаний
\- интегрировать агентов с внутренними системами и сопровождать их в production
\- при необходимости разрабатывать ML-модели для поиска, ранжирования или классификации.
Требования
\- практический опыт разработки LLM-агентов от 1 года
\- уверенный Python и опыт асинхронной разработки от 4 лет
\- понимание принципов работы и ограничений LLM
\- понимание принципов построения агентных систем: structured output, tool calling, ReAct/agentic loop, управление состоянием и контекстом, multi-agent и human-in-the-loop
\- понимание RAG и Agentic RAG: подготовка знаний, embeddings, поиск, retrieval, reranking и формирование контекста для LLM
\- умение писать качественный production-код
\- понимание подходов к оценке агентных систем: формирование eval-выборок, выбор метрик, оценка итогового результата и действий агента
\- умение разбираться в сложных бизнес-процессах и переводить их в логику агента
\- опыт запуска агентов в production
\- знание LangGraph, LangChain
\- практический опыт с MCP, A2A и multi-agent-системами.
Будет плюсом:
\- fine-tuning моделей
\- опыт разработки и оценки ML-моделей
\- базовое понимание Kubernetes и CI/CD.
Условия
* комфортный современный офис рядом с м. Тульская \\ мцк Верхние Котлы
* гибридный формат работы (на испытательный срок - офис)
* ежегодный пересмотр зарплаты, квартальная и годовая премия (премия указывается в зависимости от должности и системы премирования)
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте (для вакансий уровня Junior)
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Задачи:
— Поддерживать и развивать инфраструктуру сервисов компании.
— Разрабатывать и внедрять решения для автоматического масштабирования под нагрузками.
— Делать инфраструктуру качественной и надёжной.
Требования:
— Проактивность, умение смотреть на 3 шага вперёд.
— Анализ трендов, выявление узких мест и устранение проблем до их появления.
Технологии и инструменты:
— Kubernetes и Rancher.
— Базы данных PostgreSQL и Redis.
— S3-хранилище Minio.
— GitLab для CI/CD.
— Мониторинг и логирование: Grafana, Prometheus, Kibana, Elastic.
— Свои сервера и Яндекс.Облако.
О компании:
— Создаёт онлайн-курсы для школьников, сервисы для дистанционных олимпиад и образовательных программ.
— Высоконагруженные сервисы.
— Белая зарплата.
— Офис в Москве и Санкт-Петербурге.
— Гибкий график.