Вакансии

Задачи: — Проектирование интеграций (включая интеграции с блокчейн-сетями) — Разработка API (для интеграции между сервисами и для интеграции с фронтом) — Описание бизнес-логики — Подготовка схем валидации — Проектирование ролевых моделей Требования: — Высшее техническое образование — Опыт работы в роли системного аналитика в крупных компаниях (банки, финтех, брокеры, биржи) — Понимание корпоративных стандартов разработки, процессов согласования и требований безопасности — Опыт работы с Jira, Swagger, PlantUML — Уверенный опыт проектирования интеграционных взаимодействий (rest, kafka, rpc, fix) — Опыт работы с SQL (все базовые команды, join-ы, вложенные запросы) — Умение писать документацию в doc as code — Базовое понимание принципов интеграции с блокчейн-сетями — Структурное и системное мышление — Умение говорить на одном языке с разработчиками, тестировщиками и бизнес-заказчиками Условия: — Современный стек технологий, работу в гибкой методологии — Экспертную команду и возможности развития — Работу в гибридном формате — Технику для комфортной работы

Задачи: — Разрабатывать и поддерживать сервисы и API на C# / .NET — Разрабатывать интерфейсы на React или Vue — в зависимости от проекта — Участвовать в проектировании архитектуры и выборе технических решений — Писать поддерживаемый, тестируемый и понятный код — Проводить code review и помогать команде расти — Работать с базами данных, очередями, кэшами, внешними API — Участвовать в CI/CD, деплое и мониторинге — Декомпозировать задачи, оценивать сроки и влиять на технические решения — Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта Требования: — Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior — Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core — Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации — Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management — TypeScript — уверенное использование — Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги — Понимание SQL и умение писать запросы — Опыт с Docker, Git, Linux, CI/CD — Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги — Понимание принципов SOLID, паттернов проектирования и чистого кода — Технический английский — чтение документации, переписка, созвоны Будет плюсом: — Опыт коммерческой разработки и на React, и на Vue — Опыт миграции между фреймворками (Vue → React, React → Vue) — Fullstack-опыт: самостоятельная разработка от API до интерфейса — Микросервисная архитектура, gRPC, GraphQL — Kafka, RabbitMQ, Redis, NATS — Kubernetes, Helm, Terraform, Ansible — Cloud: AWS / Azure / GCP / Yandex Cloud — Опыт высоконагруженных систем — Опыт миграций, работы с легаси, монорепозиториями — Опыт в финтехе, e-commerce, SaaS, ML, DevTools — Вклад в open source — Опыт менторства, техлидства, архитектурных ревью — Английский B2+ — Опыт работы в продуктовых командах и/или стартапах Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо Контакты для отклика: info@it-implant.ru

Проект: Этот этап проекта включает реализацию приема и передачи налоговых (затратных) документов через систему ЭДО на базе платформы МОСТ НРД Задачи: - Реализация приема и передачи налоговых документов через систему ЭДО Требования: - Логическое мышление - Системное мышление - Умение проектировать ER-модель (концептуальный и логический уровень) - Уверенный опыт применения Rest API - Практический опыт работы с интеграциями посредством очередей Kafka, RabbitMQ или других - Уверенные навыки проектирования модели данных на всех уровнях - Понимание преимуществ и недостатков микросервисной архитектуры - Теоретические знания хотя бы 2 типов интеграций удаленного вызова процедур: graphql, websocket, rpc, grpc - Знание не менее 2 и практика владения (не менее 1) нотациями требований UML, BPMN - Умение писать качественную документацию - Практический опыт наставничества менее опытных коллег - Опыт работы в аналогичной должности 4-5 лет - Практический опыт работы с микросервисной архитектурой - Навыки проектирования архитектурных решений - Навыки планирования и координации работы команды - Проведение собеседований и онбординг аналитиков - Знание паттернов проектирования UI - Опыт работы с СЭД НРД или сервисом МОСТ - Опыт участия в проектах внедрения или доработки бэк-офисных систем депозитария или брокера Условия: - Длительность: 1 месяц с возможным продлением - Занятость: полная - Формат работы: удаленно - Гражданство: РФ - Локация: РФ - Тип договора: ГПХ или ИП - Требуемый опыт: сеньор, от 4-5 лет опыта

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Задачи: — Разработка тестовых моделей, тест-кейсов и чек-листов на функционал системы; — Проведение функционального и интеграционного тестирования доработок на платформе Navision/MS Dynamics NAV; — Ведение тест-кейсов и учёт дефектов в трекере (Jira); — Тестирование API-интеграций (SOAP/REST); — Взаимодействие с аналитиками и разработчиками для уточнения требований и локализации дефектов; — Разработка и поддержка автотестов, в том числе с использованием модуля автотестирования платформы Navision/MS Dynamics NAV (при наличии опыта); — Подготовка отчётности о результатах тестирования. Требования: — Опыт работы с системами на платформе Navision/Ms Dynamics Nav от 2-х лет (ключевое требование); — Опыт подготовки тестовых моделей; — Опыт проведения функциональных, интеграционных тестов; — Знание инструментов автоматизации процессов тестирования (средства ведения тест-кейсов, трекеры дефектов, средства тестирования API); — Желателен опыт использования модуля автотестирования на платформе Navision/Ms Dynamics Nav; — Знание SQL; — Знание Apache Kafka (проверка целостности и порядка доставки сообщений); — Грейд: от миддл/миддл+; — Гражданство: любое; — Режим работы: часы работы приближены к интервалу с 9:00 до 18:00 по мск; — Формат работы — удалённо; — Локация: любая, но работа по московскому времени; — Обязательное наличие в резюме информации по требованиям вакансии. Условия: — Заработная плата 120 000 ₽ на руки; — Полностью удалённый формат работы; — Полный рабочий день; — Работа с крупной IT-компанией; — Работа с большой командой профессионалов. Важно: — Рассматриваются только кандидаты с опытом по всем ключевым требованиям; — Обучение не предусмотрено;

Требования: — Опыт от 4 лет с Java/Scala, Apache Flink (или Beam/Spark Streaming) и Kafka — Знание событийно-ориентированной архитектуры и потоковой обработки данных — Опыт работы с Docker, Kubernetes, CI/CD и оптимизацией производительности JVM — Знание SQL/NoSQL, опыт с распределёнными системами и устранения технических проблем

Location: Ukraine; Poland; Croatia; Spain; Romania; Portugal At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Software Engineer to join us as part of our team. About the role PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Our Tech Stack Java, Spring, React, Typescript, Apache Beam, Flink, Python, LangGraph, GCP/AWS, K8s. Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will - Solve strategic engineering problems hands on. Explore technologies, build prototypes, and produce reference implementations that make architectural qualities and tradeoffs observable. - Design and deliver working software. Architect, implement, test, and maintain services and platform components, including backend systems and architecture-related frontend concerns such as micro-frontend patterns. - Automate architectural conformance. Design and implement AI-based architectural conformance checks and fitness functions that continuously evaluate whether systems follow agreed principles, patterns, and quality constraints. - Turn ambiguity into an executable approach. Break complex problems into bounded areas, apply domain-driven design, and select a practical course of action when information or precedent is limited. - Define measurable quality goals. Establish and continuously evaluate requirements for performance, scalability, reliability, security, availability, recoverability, maintainability, portability, usability, and extensibility. - Document architecture evolution. Describe the current state, target state, transition steps, constraints, alternatives, and decisions in forms that engineering teams can use. - Make explicit engineering tradeoffs. Provide balanced recommendations on build versus buy, now versus later, and refactor versus rebuild, including cost and operational implications. - Create reusable engineering patterns. Develop scaffolding, templates, reference architectures, or platform capabilities that teams can adopt without depending on the Staff Software Engineer long term. - Guide delivery teams. Perform architecture and design reviews, coach engineers through difficult decisions, and enable teams to make high-quality choices independently. - Communicate for the audience. Explain technical context clearly to engineers, technical leaders, product managers, and business stakeholders, and incorporate useful feedback. We’re looking for you if you have - A degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - At least 6 years of experience in software engineering using Java or a comparable object-oriented language. - At least 3 years developing microservices and experience building distributed or event-driven systems in the cloud. - Practical knowledge of service-oriented architecture, domain-driven design, clean architecture, hexagonal architecture, and common architecture patterns. - Experience implementing agentic applications and tools applying evaluation approaches as part of the process - Experience designing RESTful APIs and event driven Kafka-based applications - Experience with mainstream relational databases, caching, replication, and search technologies. - Experience developing and evaluating agentic applications. - Experience with Google Cloud Platform or Amazon Web Services with container orchestration technologies. - Strong problem-solving skills and the ability to lead through technical guidance across multiple teams without formal authority. - Excellent written and verbal communication with engineers, managers, and product partners. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps Pre-screening with recruiter Technical Screening Technical Interview HR BP Interview Final client Interview

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits

Location: Kazakhstan; Yerevan, Armenia; Uzbekistan; Tbilisi, Georgia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits

Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior System Engineer to join our Engineering Team. Unlock your full potential as a Senior System Engineer . In this senior, hands-on role, you will help move our partner's Infrastructure & Operations toward a platform engineering model, building reusable, self-service infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring and application environments. You won't just keep systems running; you will automate and standardize infrastructure workflows, develop internal tooling and APIs, and improve how Kubernetes, CI/CD, networking and observability work together. If you have deep Linux and Kubernetes experience, think in reusable systems rather than one-off scripts, and enjoy solving complex production issues, we would love to hear from you! Key Responsibilities Platform Engineering & Transformation: Help evolve Infrastructure & Operations toward a platform engineering model. Workflow Automation & Standardization: Standardize and automate infrastructure workflows and reduce manual provisioning. Core Capabilities & Provisioning: Build reusable infrastructure capabilities for databases, messaging, secrets, DNS, compute, monitoring, and application environments. Internal Tooling & Lifecycle Management: Develop internal tooling, APIs, and declarative workflows for infrastructure lifecycle management. Ecosystem & Tooling Integration: Improve integration between Kubernetes, CI/CD, networking, secrets management, databases, and observability systems. Architectural & Technical Design: Participate in architecture and technical design of platform and infrastructure services. Reliability & Performance Engineering: Improve reliability, scalability, and operational simplicity of production infrastructure. Troubleshooting & Incident Investigation: Investigate complex infrastructure and production issues across Linux, networking, applications, and distributed systems. Observability & Diagnostics: Improve observability, diagnostics, and troubleshooting capabilities. Cross-Functional Collaboration: Work closely with Development, DevOps, SRE, DBA, Security, and Infrastructure units. Documentation & Best Practices: Standardize common infrastructure solutions and document how they should be implemented and used. Technology Innovation & Developer Experience: Evaluate and introduce technologies that improve developer experience and infrastructure efficiency. Requirements 5+ years of hands-on experience in Infrastructure Engineering, Systems Engineering, SRE, DevOps, Production Engineering or similar roles. Strong Linux administration and troubleshooting skills. Good understanding of production infrastructure, networking and distributed systems. Hands-on experience operating Kubernetes in production . Practical experience with Infrastructure as Code and configuration management , using Terraform, Ansible or similar tools. Experience with CI/CD and infrastructure automation workflows. Programming or strong scripting skills in Python, Go, Java, Bash or similar. Experience with monitoring and observability systems. Understanding of secrets management and secure infrastructure access patterns. Experience integrating infrastructure systems through APIs. Ability to design reusable infrastructure solutions instead of one-off automation. Strong systems thinking and ability to troubleshoot complex cross-system issues. Ability and willingness to learn new infrastructure and platform technologies. Nice to Have Experience with GitOps approaches and tools. Experience with Crossplane, Kubernetes operators or controllers . Experience with Vault or similar secrets management platforms. Experience with Kafka, PostgreSQL, Redis or ClickHouse . Experience with Proxmox, VMware or public cloud platforms . Experience developing internal infrastructure tools, APIs or self-service capabilities . Soft Skills Strong analytical thinking and technical curiosity. Ownership and responsibility. Pragmatic approach to automation and engineering. Ability to work independently on ambiguous technical problems. Good communication and documentation skills. Willingness to remain hands-on and share technical knowledge. Benefits

Задачи: — Тестировать витрины данных, пайплайны, интеграции и API. Требования: — Опыт работы в аналогичной роли от 3 лет. — Уверенное владение Python и pytest, знание теории тестирования. — Практика написания и оптимизации сложных SQL-запросов: JOIN, CTE, оконные функции. — Умение работать с ClickHouse и опыт применения Airflow. — Docker, Docker Compose и testcontainers для тестового окружения. — Будет плюсом GitLab CI/CD, Spark, Trino, Kafka и понимание устройства DWH.

Задачи: — Разработка платежной платформы для криптовалют и карт. — Распиливание старого монолита на Python на микросервисы. — Обеспечение работы системы при нагрузке около 3000 запросов в секунду. Требования: — Опыт работы с Go от 5 лет. — Практический опыт работы с Kafka и PostgreSQL под нагрузкой. Условия: — Зарплата от 500 000 до 700 000 рублей на руки, зависит от результатов собеседования. — Оформление через ИП или самозанятость. — Возможна оплата в валюте или криптовалюте для кандидатов вне России. — Полностью удалённая работа. — Минимум созвонов, один созвон с тимлидом на 40 минут, после которого возможен оффер. — Название компании не разглашается до оффера. — При отсутствии портфолио или GitHub предоставляется небольшое тестовое задание.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview Fanatics Betting & Gaming (FBG) is on a mission to create the best online sportsbook in the industry. We are seeking an Engineering Manager to lead the team that builds the Balance and Ledger platform: the shared ledger and customer-level balance that holds customer funds across Fanatics. This leader will own systems where accuracy matters most, guiding the team through complex and ambiguous problems while ensuring operational excellence, consistent delivery, and long-term impact. The team sits within the Customer, Accounts & Transactions (CAT) domain and works closely with the Payments team. The Engineering Manager plays a central role in shaping the architecture, processes, and engineering culture of the balance platform. You will lead backend engineers (Java, Spring Boot, AWS) who are responsible for the ledger, the rules that decide where each portion of a balance can be used, and the migration of existing wallets onto a shared platform. At FBG, we're revolutionizing sports betting with cutting-edge technology, a customer-first mindset, and a world-class engineering team. You'll have the opportunity to work on complex, high-scale challenges in an exciting and rapidly growing industry, as part of a team that values innovation, integrity, and excellence. Responsibilities Operational Leadership & Ownership Lead an engineering team that owns the ledger and balance services for customer funds, where correctness, auditability, and availability are key. Drive operational excellence by setting high standards for security, reliability, observability, and on-call practices. Lead the phased migration of existing business wallets onto the shared ledger, including reconciliation, cutover, and rollback planning that avoids customer-visible downtime. Partner with Finance, Legal, and Compliance on fund attribution between businesses, settlement, chargebacks, and audit requirements. Identify and resolve technical and operational risks before they affect the business. Team Performance & Delivery Build and maintain a high-performing engineering team through hiring, coaching, performance management, and career development. Define and execute a roadmap that balances new capabilities, migration work, technical health, and operational load. Plan team capacity honestly, make tradeoffs visible, and hold the team to the commitments it makes. Deliver maintainable, scalable software that handles high transaction volume without losing or double-counting a transaction. Stay close enough to the technical work to review designs, take part in architectural decisions, and unblock engineers. Communication, Stakeholder Management & Product Partnership Communicate clearly with engineers, Product, Finance, Legal, Compliance, and executive stakeholders. Build partnerships with the Payments team and with the teams in other Fanatics businesses that depend on the balance, and agree on ownership boundaries. Write and present clear documentation, including roadmaps, vision documents, design reviews, and incident reviews. Represent the balance platform's technical perspective in broader company planning. Navigating Complexity & Ambiguity Lead the team through open questions that span engineering, finance, and regulation, using structured and data-informed approaches. Bring Product, Legal, Finance, and Engineering viewpoints together to make decisions that hold up over time. Provide clarity as requirements change, new businesses onboard, and regulatory expectations evolve. Travel Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications We value aptitude and integrity over years of experience, but here are key skills that will make you successful in this role: 3-5+ years of experience managing software engineering teams, with a track record of delivering secure, scalable systems in regulated or high-stakes environments. Background leading teams or contributing in a Java and AWS ecosystem preferred. Experience with ledgers, wallets, balance services, payments, or other financial systems of record is highly desirable. Understanding of transactional consistency, idempotency, and data modeling in systems where accuracy cannot be compromised. Experience with event-driven architectures and message streaming platforms such as Kafka. Experience leading migrations of live, high-traffic systems with minimal customer impact. Ability to balance strategic direction with technical depth. Strong communication skills and the ability to influence across Engineering, Product, Finance, Legal, and Compliance. Experience working through complex, cross-functional, and regulatory challenges. Commitment to operational excellence and to building systems that people can trust. Passion for mentoring and developing engineers, and for fostering a culture of accountability, empathy, and innovation. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Задачи: — Ведущая роль в технических концепциях, охватывающих технологии и бизнес, для поддержки Apigee, Apigee Hybrid в AKS и AWS. — Поддержание здоровья и эффективности всей инфраструктуры приложений, предоставление профессиональной практической реализации и технических консультаций для успешной реализации IT-инфраструктуры. — Поддержка платформ приложений на корпоративном уровне, включая автоматизацию сборки платформы, патчи, уязвимости, управление изменениями, управление инцидентами, мониторинг и постоянное улучшение платформы. — Сотрудничество с коллегами, технологическими партнерами и поставщиками для выявления, автоматизации и развертывания патчей, решения проблем и достижения целей. — Поддержка и управление API и микросервисами с использованием Java, Spring Boot. — Создание, организация и внедрение процессов поддержки API. — Поддержка и развертывание политик API с использованием платформы Apigee. — Управление порталом разработчиков Apigee и интеграция с Drupal. — Выполнение облачной безопасности и управление сертификатами. — Разработка долгосрочного плана для решения проблем и предотвращения их повторения. — Руководство ежедневным управлением рисками и контролем операций, с акцентом на политики, процедуры и стандарты работы для обеспечения успеха. Требования: — Опыт работы с платформой управления API Apigee. — Опыт работы с Apigee, администрированием OAuth и JWT. — Опыт создания, организации и внедрения процессов поддержки API. — Отличные коммуникативные навыки. — Более 3 лет опыта работы с Red Hat Linux или UNIX. — Опыт работы с Kubernetes для контейнеризированных решений. — Более 5 лет опыта работы с Java или скриптами и автоматизацией на Python, Shell или аналогичных языках. — Более 5 лет опыта поддержки платформ приложений. — Знание CI/CD для развертывания прокси в различных средах. Желательные квалификации: — Поддержка политик API с использованием Apigee Hybrid на Azure/AWS. — Понимание спецификаций OpenAPI в формате JSON или YAML, включая авторизацию JWT. — Знание аутентификации и авторизации сервисов через OAuth 2. — Поддержка и управление REST API и микросервисами с использованием Java, Spring Boot. — Опыт использования POSTMAN для выполнения вызовов управляющего API. — Знание и понимание AppDynamics, Splunk и Kafka. Условия: — Длительное, полное рабочее время. — Требуется пересечение с рабочими часами EST.

Задачи: — Разработка backend реализаций для веб-сервисов — Участие в разработке архитектуры и реализации прототипов новых веб-сервисов — Коммуникация с front-end и back-end разработчиками, QA — Написание валидного читабельного кода — Написание юнит-тестов для разработанных компонентов Требования: — Гражданство и локация только РФ — Опыт в автоматизации на Python, не менее 4 лет — Владение pytest, pytest-asyncio — Опыт с api тестами (REST) и UI тестами (Selenium, Playwright) — Знание базово: SQL, Redis, MongoDB (pymongo), Clickhouse/Postgresql, Kafka, SFTP, Minio — Опыт работы с Docker и docker-compose — Опыт работы с Allure TestOps — Навык использования моков — Знание CI Условия: — Удалённая работа — Занятость full-time — Уровень зарплаты до 146к рублей на руки

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсы: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Задачи: • Разработка backend-компонентов на Java (Spring Boot) с учетом надежности, безопасности и масштабируемости. • Разработка и поддержка web-интерфейсов на Angular + TypeScript. • Проектирование и развитие REST API, интеграция с внутренними сервисами и внешними API. • Работа с базами данных (Oracle / PostgreSQL), написание и оптимизация SQL- и PL/SQL-запросов. • Интеграция frontend-части с backend-сервисами (REST, WebSocket). • Участие в code review, командных обсуждениях и совместной разработке. • Поддержка технической документации и сопровождение текущего функционала. Требования: • Опыт разработки от 2 лет (Middle). • Уверенное владение Java (Spring) и Angular (TypeScript). • Понимание распределенных систем и клиент-серверной архитектуры. • Опыт разработки и документирования RESTful API. • Опыт работы с реляционными БД (Oracle / Postgres), SQL (PL/SQL — плюс). • Опыт работы с Kafka или другими брокерами сообщений. • Знание алгоритмов, структур данных, Git. • Опыт интеграций (REST, SOAP и др.), умение работать в команде. • Интерес к fullstack-развитию. Условия: • Удобное расположение офиса. • Отсутствие дресс-кода. • Гибридный график работы. • Стабильную заработную плату и хорошие бонусы (KPI). • Выплаты к государственным праздникам. • Надбавка к оплачиваемому ежегодному трудовому отпуску. • Доступ к Coursera. • Обучение казахскому языку. • На выбор кафетерий льгот: добровольное медицинское страхование, абонемент в спорт зал, курортно-санаторное лечение. Условия по заработной плате обговариваются отдельно на собеседовании.