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О проекте: Мы создаем ASOC платформу, которая позволит командам разработки ПО получать единую картину реальных угроз безопасности и нейтрализовывать их. Задачи: — Проектировать архитектуру ASOC платформы - собирать, приоритезировать данные со сканеров SAST, DAST, SCA, secret detection — Разрабатывать и развивать модули платформы - от интеграции со сканерами до логики автоматического триажа — Автоматизировать рутину - писать скрипты и пайплайны, которые заменяют ручной разбор алертов на воспроизводимые процессы — Встраивать инструменты безопасности в CI/CD внутренних и внешних команд разработчиков — Проводить аудит зрелости процессов разработки ПО — Готовить процессы и доказательную базу к сертификации по ГОСТ Р 56939-2024, BSIMM, SAMM так, чтобы результатом была успешная сертификация разрабатываемого ПО по требованиям безопасности информации Требования: — Опыт пилотирования и внедрения нескольких решений из списка: SAST, DAST, SCA/OSA, ASOC/ASPM, API Security, Container Security — Понимание архитектуры DevSecOps-процессов: как инструменты встраиваются в CI/CD, как управлять ложными срабатываниями, как строить метрики зрелости (MTTR, coverage, density of defects) — Знание российских и международных стандартов безопасности и умение их применять для улучшения процессов (ГОСТ Р 56939-2024, BSIMM, SAMM) — Высшее образование в сфере ИБ или ИТ Условия: — Официальное трудоустройство по ТК РФ — Корпоративная техника для комфортной работы — ДМС со стоматологией — Участие в деятельности профессиональных сообществ — Собственная корпоративная библиотека — Возможность получать квалификацию за счёт компании — Зимняя «витаминизация»: бесплатно фрукты в офисах — Профессиональная текущая команда, готова делиться экспертизой — Яркие корпоративы и нескучные тимбилдинги!

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. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Betting & Gaming (FBG) is building the industry’s most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms team powers the systems that enable customer operations, marketing, support, and data-driven decision making—centered around Salesforce and deeply integrated backend services. We are seeking a Senior Salesforce Engineer to develop, and maintain scalable Salesforce solutions that support critical internal workflows and customer-facing operations. This is a hands-on engineering role requiring strong Salesforce development expertise, comfort working across integrations and distributed systems, and a passion for building high-quality internal platforms. You will work closely with Marketing, Operations, Product, Data Engineering, and Backend Engineering teams to deliver robust Salesforce capabilities that integrate with third-party systems and internal APIs. Responsibilities Salesforce Engineering & Platform Development Build, and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, and declarative features . Participate in the end-to-end implementation of Salesforce enhancements, from requirements gathering through deployment and support. Apply scalable and maintainable patterns for triggers, flows, automation, and custom components. Write high-quality, testable code with appropriate unit test coverage and participate in code reviews. Integrations & Distributed Systems Develop and maintain integrations between Salesforce and external/internal systems using REST/SOAP APIs, middleware, and event-driven patterns. Partner with backend engineers to design clean integration contracts between Salesforce and Java-based services. Troubleshoot and resolve complex integration and data flow issues across systems. Collaboration & Stakeholder Partnership Collaborate with Product Managers, Business Analysts, and cross-functional partners to translate business requirements into technical solutions. Partner with Marketing, VIP, Operations Support, Risk, and Data teams to ensure Salesforce solutions meet business and regulatory needs. Clearly communicate technical decisions, trade-offs, and implementation details to both technical and non-technical stakeholders. Data Management & Platform Quality Support data migrations, imports/exports, and ongoing data quality initiatives. Ensure strong data integrity, security, access control, and performance across the Salesforce ecosystem. Contribute to platform reliability, availability, and operational excellence. Documentation & Best Practices Create and maintain technical documentation for Salesforce customizations, configurations, and integrations. Follow and help evolve engineering best practices related to Salesforce DX, Git workflows, CI/CD pipelines, testing, and deployment strategies . Continuously identify opportunities to reduce technical debt and improve platform scalability. Experience and Skills Required 3-5 years of hands-on Salesforce engineering experience , with strong proficiency in Apex, Lightning Web Components, and Salesforce automation. Strong experience with Salesforce configuration, including custom objects, flows, validation rules, and security model design . Experience building and maintaining API-based integrations between Salesforce and third-party or internal systems. Working knowledge of Salesforce DX, Git, and CI/CD pipelines . Ability to work independently on complex projects while collaborating effectively within a team. Strong problem-solving skills and attention to detail. Preferred Salesforce Platform Developer I or II certification. Additional Salesforce certifications (Administrator, App Builder, Architect). Experience with: Data migrations and large-scale data operations Event-driven architectures and distributed systems Highly available, production-critical platforms Experience working closely with cross-functional teams such as Marketing, Product, Operations, and Data. Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Familiarity using AI-powered coding assistants to design, build, and test new functionality from the ground up, with the ability to move quickly while maintaining high code quality and test coverage. Interest in leveraging emerging tools and workflows to improve developer productivity and platform throughput. What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset and commitment to engineering excellence. Collaborative approach and desire to continuously learn and improve. Comfort operating in a fast-paced, evolving environment. 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 $128,000 — $160,000 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 .

Location: Russia; Moscow; Perm Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players How We Work Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible)

Задачи: — Разрабатывать и поддерживать сервисы на Python — Работать с базами данных: писать запросы, оптимизировать, проектировать структуры — Участвовать в проектировании архитектуры — от простых решений к масштабируемым — Следить за качеством кода: писать тесты, рефакторить, соблюдать современные стандарты разработки — Отвечать за сервис платежей и торговой системы игры, включая каталог товаров, игровые транзакции, интеграции с платежными платформами, начисление/списание валюты, выдачу предметов, возвраты и надежность платежного контура Требования: — Опыт разработки на Python от 4 лет — Любить кодить и делать это чисто — Понимать, зачем нужны тесты, и писать их — Интерес к мониторингу и работе приложений в продакшене — Умение мыслить прагматично: строить простые решения, которые можно развивать Будет плюсом: — Опыт работы с системами мониторинга (Prometheus, Grafana, Sentry или аналоги) — Опыт написания асинхронного кода — Базовое понимание Docker и CI/CD Условия: — Полностью удаленная работа — Гибкий график — ориентируемся на результат, а не на часы — ДМС после испытательного срока — Работа над растущим игровым проектом с активным комьюнити — Быстрые итерации и минимум бюрократии — Адекватная нагрузка — есть время думать, а не тушить пожары — Видимый результат — фичи напрямую влияют на продукт.

Location: PL Workplace: remote Overview: SOFTSWISS continues to expand the team and is looking for a Technical Account Manager to support clients of the SOFTSWISS Casino Platform. This role combines client communication, technical problem-solving, and cross-team coordination to ensure stable and effective platform operations. About Product: Casino Platform: The SOFTSWISS Casino Platform is the core infrastructure operators rely on to launch, manage, and scale their online casino businesses. You’ll contribute to mission-critical systems covering account management, game operations, responsible gaming, and regulatory compliance, in an environment where reliability, scalability, and business impact matter, working with people who build solutions operators depend on. Purpose of the role: The Technical Account Manager acts as the main technical contact between the Client and internal teams, ensuring smooth communication, timely resolution of technical requests, and alignment of the Casino Platform with the Client’s needs, while translating feedback into actionable product improvements. Key responsibilities: Coordinating communication between the Client and internal teams Acting as the Client’s representative within the Casino Platform Assisting the Client with technical requests/issues via the helpdesk Performing initial troubleshooting, debugging, and issue iteration Escalating unsolved cases to related teams Prioritising and managing the Client’s requests and issues Consulting the Client on their use of our product Acting as a stakeholder for client-relevant product requests Iterating on the client’s ideas and problems to tailor our product to their needs Proactive monitoring of the Client’s system and its metrics, both technical and business-related Required Experience: Fluency or proficiency in English, at least B2 or higher Fluency or proficiency in Russian, at least C1 or higher Strong soft skills, focusing on communication for both technical and non-technical audiences, conflict resolution, and the ability to collaborate within cross-functional teams Strong analytical thinking skills, including the ability to distinguish correlation from causation, the capability to identify patterns, solve complex problems, and think critically under pressure Experience with business analysis and product management processes to align technical solutions with customer needs. Previous work experience in large-scale software development environments, including customer-facing roles Experience with monitoring and logging tools such as Datadog, ELK (primarily Kibana), and JIRA Proficiency in analyzing datasets to extract actionable insights and drive decision-making Experience with GitLab CI/CD pipelines, comprehension of data-driven systems Good command of markup web languages (HTML, CSS) Nice to have: Familiarity with Agile frameworks, including SCRUM, and a solid understanding of iterative delivery. Desire and ability to learn new concepts, tools, and methodologies. Familiarity with Application Programming Interfaces (APIs); a basic understanding of multi-tenant architecture, knowledge of proxying, and related network concepts. Basic knowledge of modern frontend frameworks, particularly React; Server-Side Rendering (SSR), Search Engine Optimization (SEO) principles, and responsive design practices. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Задачи: — Работа с legacy-кодом и его постепенный рефакторинг; — Переписывание и вынос логики в API; — Разработка и поддержка backend на PHP; — Разработка frontend на Angular; — Работа с микросервисной архитектурой; — Проектирование и поддержка REST API; — Интеграция сервисов через очереди (RabbitMQ); — Работа с базами данных (PostgreSQL / MySQL); — Использование Doctrine ORM; — Оптимизация производительности и рефакторинг; — Участие в код-ревью; — Использование AI-агентов/ассистентов в разработке; — Взаимодействие с командой (backend, frontend, QA, DevOps). Требования: — Опыт коммерческой разработки 2–4 года; — Уверенная работа с Git; — Опыт работы с Docker / docker compose; — Понимание CI/CD процессов; — Уверенное знание PHP 8.3+; — Опыт работы с Symfony или Laravel; — Уверенный опыт работы с Doctrine ORM; — Понимание ООП, SOLID; — Опыт построения REST API; — Опыт работы с Angular 19+, RxJS; — Уверенное знание TypeScript; — Понимание SPA архитектуры; — Уверенное знание SQL; — Опыт оптимизации запросов; — Понимание индексов и транзакций. Условия: — Официальное трудоустройство в аккредитованной IT-компании с первого дня; — Удаленная работа, полная занятость; — Зарплата по результатам собеседования и выполнения тестового задания.

Ищем начинающего DevOps-инженера с перспективой профессионального роста внутри команды. Задачи: — поддержка Linux-серверов и CI/CD — работа с Docker и GitLab Runner — автоматизация инфраструктуры с помощью Ansible — настройка мониторинга, сетей и внутренних сервисов Стек: Linux, Docker / Docker Swarm, GitLab CI/CD, Ansible, Traefik, PostgreSQL, Prometheus, Grafana, Loki, NetBird. Впереди переход на Kubernetes. Рассматриваем DevOps-инженеров с опытом до одного года, а также кандидатов без коммерческого опыта. От кандидата ожидаем базовое знание Linux, сетей, Docker и Git, готовность самостоятельно разбираться в задачах и задавать вопросы. Опыт с остальными инструментами необязателен — поможем освоить их в процессе работы. Что предлагаем: — Небольшой, но дружный коллектив — Полностью удалённая работа из любой страны — Гибкая система оплаты.

Требования: — Опыт разработки банковских дистанционных сервисов; — Знание банковской предметной области; — Опыт работы с инструментами управления жизненным циклом разработки ПО; — Коммерческий опыт разработки на C#/.NET; — Опыт создания или развития крупных высоконагруженных систем; — Практический опыт интеграции через систему межведомственного электронного взаимодействия; — Базы данных: PostgreSQL, MS SQL Server (T-SQL); — Опыт проектирования и разработки микросервисов; — Опыт разработки REST API / Web API; — Умение применять IoC-контейнеры; — Понимание подходов к защите корпоративных приложений; — Понимание процессов CI/CD; — Уверенная работа с Git; — Законченное высшее образование. Задачи: — Разработка и доработка backend-решений на C#/.NET; — Участие в разработке высоконагруженных корпоративных систем; — Обеспечение безопасности корпоративных систем; — Реализовывать и оптимизировать интеграции с внутренними и внешними системами; — Взаимодействие с командой разработки. Условия: — Проектная занятость на 6 месяцев; — Возможность работы с технически сложными и интересными проектами на хорошем технологическом стеке; — Официальное трудоустройство; — Удаленная работа.

Задачи: — Проектировать и разрабатывать backend-сервисы на C# и ASP.NET Core для интеграционных B2B-решений — Создавать Web API, фоновые сервисы и обработчики сообщений — Развивать и рефакторить существующий код, включая legacy-компоненты на .NET Framework — Участвовать в архитектурных обсуждениях и выборе инструментов и паттернов — Проектировать схемы данных, писать и оптимизировать SQL-запросы в PostgreSQL — Настраивать интеграции с внешними системами и обработку бизнес-событий — Работать с RabbitMQ или другими брокерами сообщений — Писать unit- и интеграционные тесты, участвовать в code review — Взаимодействовать с аналитиками, тестировщиками, архитекторами и представителями заказчика — Сопровождать задачи от уточнения требований до выхода в продакшен Требования: — Коммерческий опыт разработки на C# и .NET от 3 лет для Middle+ и от 6 лет для Senior — Уверенный опыт работы с ASP.NET Core, Web API и сервисной backend-разработкой — Знание .NET 6+, .NET 8 и понимание особенностей .NET Framework — Хорошее знание SQL и практический опыт работы с PostgreSQL или другими реляционными СУБД — Опыт разработки интеграционных B2B-сервисов и взаимодействия с внешними API — Опыт работы с RabbitMQ или другими брокерами сообщений — Практический опыт работы с Docker — Понимание принципов построения надёжных и поддерживаемых backend-сервисов — Опыт написания unit- и интеграционных тестов — Умение самостоятельно погружаться в предметную область, уточнять требования и предлагать решения — Опыт работы в распределённых продуктовых или проектных командах Будет плюсом: — Опыт работы в HealthTech, лабораторной диагностике или медицинских информационных системах — Опыт в eCommerce, Retail, маркетплейсах, логистике или платёжных интеграциях — Опыт в промышленности, металлургии, производственных и учётных системах — Практика профилирования сервисов и оптимизации производительности — Опыт работы с Kafka, Redis, MongoDB или ClickHouse — Знание Kubernetes и опыт настройки CI/CD в GitLab CI/CD, GitHub Actions или Jenkins — Опыт разработки микросервисных и событийных систем — Опыт интеграции .NET-приложений с ML- или AI-сервисами Условия: — Подработка — Оформление: Договор ГПХ с ИП, с физлицом — График: 5/2 — Формат работы: удалённо

Задачи: — Администрировать, поддерживать и оптимизировать облачные платформы и инфраструктуру. — Настраивать, конфигурировать, поддерживать и совершенствовать CI/CD- и GitOps-пайплайны. — Внедрять и поддерживать практики Infrastructure as Code (IaC) с использованием таких инструментов, как Ansible, Terraform, Pulumi. — Управлять контейнеризированными средами с использованием Docker, Docker Swarm и Kubernetes. — Обеспечивать надежную инфраструктуру и процессы развертывания для BI-сервисов и приложений, включая ClickHouse, SQL, Airflow, Tableau, Superset. — Тесно взаимодействовать с командами разработки и BI для повышения надежности развертывания, консистентности окружений и операционной эффективности. Требования: — Уверенные навыки настройки и администрирования как минимум одной облачной платформы. — Уверенные навыки построения и автоматизации процессов развертывания с использованием CI/CD и GitOps. — Опыт построения масштабируемой IT-инфраструктуры. — Уверенные навыки настройки Linux-серверов и устранения неисправностей. — Практический опыт работы с Kubernetes. — Понимание сетевой модели OSI. — Понимание принципов построения надежной и масштабируемой инфраструктуры, а также автоматизированных процессов развертывания. — Знание принципов информационной безопасности и защиты данных. — Интерес к работе с инфраструктурой для Business Intelligence и data-related решений либо соответствующий практический опыт.

Задачи: — Автоматизация тестов API – написание и поддержка автотестов для микросервисов (gRPC + Protobuf, REST, mTLS) на Python — Тесты UI‑админок – базовая автоматизация UI для проверок администраторских панелей — Интеграционное тестирование – проверка взаимодействия сервисов (Vault, Ory Stack, Keycloak, Kafka/NATS, PostgreSQL, Redis) в единой среде — Поддержка тестовой инфраструктуры – запуск тестовых стендов в Docker/Kubernetes (Helm‑чарты, GitLab CI), поддержка образов и конфигураций — Работа с секретами и правами доступа – проверка сценариев аутентификации/авторизации, политики доступа (Keto, Ory Hydra, Vault) — Внедрение тестов в CI/CD – добавление автотестов в пайплайны GitLab, мониторинг их стабильности — Сотрудничество – совместная работа с разработчиками, DevOps и продукт‑менеджерами, участие в ревью тестовой документации Требования: — Опыт работы в тестировании – от 3 лет (API, UI, интеграционные сценарии, регресс) — Язык программирования – знание Python — Технологии взаимодействия – знакомство с gRPC/Protobuf, REST, Kafka — Контейнеризация и оркестрация – опыт работы с Docker, Kubernetes — CI/CD – понимание принципов GitLab CI — Linux – уверенный пользователь (bash, работа с логами, настройка окружения) — Сетевые основы – базовое знание TCP/IP, HTTP, GRPC — Инструменты командой работы – опыт работы с Git, Jira, Confluence для документации и трекинга задач — Будет плюсом: Знание языка программирования Go Условия: — Полная занятость — Оформление: Трудовой договор — График: 5/2 — Формат работы: удалённо или гибрид (Москва)

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com's Product Security team protects our web and mobile applications, infrastructure, and external perimeter in a highly regulated environment. As Senior/Staff Application Security Engineer, you will raise the bar for application security across the organisation. This role is measured by leverage: how well you design, automate, and scale security processes so that many engineering teams can build securely by default. You will lead security architecture reviews and threat modelling, increasingly with the help of AI tooling, and turn one-off security work into repeatable, self-service capabilities. The role combines deep hands-on offensive and defensive security expertise with the engineering mindset needed to automate at scale. You will work closely with development, QA, DevOps, and platform teams. Responsibilities: Security Architecture & Threat Modelling: Lead security architecture reviews and threat modelling for new and existing systems, using AI tools to make reviews faster, more consistent, and scalable across teams Act as a security force multiplier by influencing the standards, patterns, and guardrails that let teams move fast and stay secure Security Automation & Tooling: Design, build, and automate scalable security processes that engineering teams can self-serve, covering secure design review, threat modelling, testing, and remediation workflows Integrate and automate security checks across the SDLC and CI/CD pipelines (SAST, DAST, SCA, secrets, and IaC scanning), tuned for strong signal and low friction Own and evolve security tooling such as DefectDojo and SAST, DAST, and SCA platforms, maximising automation, coverage, and integration Apply AI and LLM-based tooling to architecture review, threat modelling, code review, and vulnerability triage, and help define how the team adopts these tools safely Security Testing & Vulnerability Management: Conduct and oversee security assessments of web and mobile applications, APIs, and cloud infrastructure, including manual testing and PoC development Run vulnerability scans across internal infrastructure and the external perimeter, then analyse findings, define remediation, and track issues to closure Support and triage the Bug Bounty Program and external vulnerability reports, automating triage where possible Participate in and help lead red teaming and offensive security exercises Enablement: Drive knowledge sharing on secure development, mentor engineers, and deliver training for development and QA teams Requirements: Experience: 5+ years in application or product security, or equivalent depth, with a track record of senior or staff-level impact Demonstrable experience leading security architecture reviews and threat modelling (e.g. STRIDE, attack trees, data-flow analysis) across multiple teams or products Proven ability to automate and scale security processes by building tooling, integrations, and self-service workflows that reduce manual effort Technical: Strong hands-on security testing skills, including code review and web, mobile, and API application security assessments, as well as the ability to triage and validate external vulnerability reports and bug bounty submissions Strong software engineering ability in at least one language (e.g. Python, Go, JavaScript), with the ability to build automation, not just scripts Deep understanding of the OWASP Top Ten, secure design, and secure coding best practices Experience with SAST, DAST, SCA, and vulnerability management platforms, and integrating them into CI/CD Strong understanding of modern application architectures: REST APIs, microservices, cloud-based systems, and containers Practical experience applying AI and LLM tooling to security work, or clear enthusiasm and aptitude to do so Collaboration: Excellent communication and influencing skills: you can explain security concepts to technical and non-technical stakeholders and drive change without direct authority A self-starter who enjoys solving complex problems, building leverage through automation, mentoring others, and strengthening security culture Nice to have: Experience securing the AI harness: hardening LLM and agent pipelines, prompts, tool and MCP integrations, and model endpoints against prompt injection, data leakage, and insecure agent actions Experience securing Kubernetes, including cluster hardening, RBAC, network policies, admission control, workload isolation, and image and supply-chain security Experience securing AWS infrastructure, including IAM, network and account architecture, key and secret management, and CSPM Experience building AI-assisted security tooling or internal self-service security platforms Experience mentoring or technically leading a security team Offensive or advanced security certifications such as OSAI, OSEP, OSCP, or OSWE What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com builds and operates web and mobile trading platforms, public and partner APIs, and the backend services behind them, all in a highly regulated environment. As Application Security Architect, you will be the senior design authority for the security of these products. You will set the direction for how we secure software at scale: you will own secure-by-design patterns and standards, lead threat modelling and architecture reviews, and define the application security baseline that engineering teams build against. Working closely with the Product Security team and the Director of Product Security, you will guide AppSec processes and set the vision for your area without direct line management. You will treat security as a shared outcome rather than a gate, balancing strong protection with developer experience and delivery speed, and you will earn adoption through enablement rather than mandates. Responsibilities: Security Architecture & Standards: Define and maintain secure-by-default reference architectures for common patterns: web apps, mobile backends, microservices, public and partner APIs, and event-driven services Own core application security architecture decisions: authentication and authorisation, session management, API security, secrets management, multi-tenant isolation, and security logging and auditing Lead the redesign of user authentication and the delivery of security features into the product Develop and roll out application security standards, secure-coding guidelines, configuration standards, reusable design patterns, and architecture decision records (ADRs) that engineers can apply without a security expert in the room Define internal policies for the safe use of AI-assisted and vibe-coding tools Define security requirements for acquired technology and guide its secure integration Threat Modelling & Design Review: Establish and run a threat-modelling operating model, covering scope, cadence, templates, and facilitation, proportionate to each product's risk tier Own the security review stage of the new product approval process, covering architecture design and configuration Lead design reviews for high-impact initiatives: new products, new auth flows, payment and sensitive-data flows, platform migrations, and major refactors Identify design-level risks and agree practical, prioritised mitigations with engineering teams Secure SDLC, DevSecOps & Supply Chain: Assess the current state of application security, propose improvements, and drive the secure SDLC strategy with Engineering and Security leadership Oversee AppSec processes and own the tooling strategy (SAST, DAST, IAST, SCA, and secrets scanning), including how findings flow back to engineering Embed security controls as guardrails in CI/CD through policy-as-code, with agreed enforcement and escalation paths Partner with DevOps to organise repository management and prevent supply-chain attacks, covering safe component usage, dependency management, SBOMs, and build integrity Improve the security of our internal tools Requirements: Experience: 8+ years in technology, including 5+ years in a dedicated application or product security role, with a strong engineering background and hands-on architecture or design ownership Proven track record creating, documenting, and rolling out security standards, patterns, and best practices across a complex engineering organisation Deep, demonstrable threat-modelling experience across product portfolios Technical: Experience designing and implementing a secure SDLC in a cloud-native environment. Strong AWS knowledge is required, and exposure to GCP or other clouds is welcome Strong command of OWASP standards (Top 10, ASVS) and DevSecOps practice, including AppSec tooling (SAST, DAST, IAST, SCA, secrets scanning) and vulnerability management Deep understanding of modern distributed architectures: microservices, REST and GraphQL APIs, event-driven systems, OAuth2/OIDC, and containerised workloads (Docker, Kubernetes). You should be able to reason about their trust boundaries, attack surface, and data flows across web and mobile clients Collaboration: Exceptional ability to influence and align engineering teams without direct authority, and to brief both engineers and executives Pragmatism and strategic thinking: you balance the ideal with the achievable, protect delivery throughput, and turn long-term direction into an actionable plan Clear written communication through diagrams, ADRs, and patterns, plus a track record of mentoring and cross-functional collaboration Nice to have: Experience in fintech, trading, brokerage, or another regulated environment Awareness of relevant regulatory and compliance drivers: FCA and CySEC operational resilience, GDPR, and PCI DSS Software supply-chain security, including SBOMs and artifact and build integrity Experience securing AI-integrated product features, or using AI to scale an AppSec programme Experience building or running a Security Champions programme CSSLP, GIAC GDSA, or a hands-on offensive security certification. Certifications are valued but secondary to demonstrated experience What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

Мы в AnySense создаем AI-систему для автоматизацию административных процессов в американском healthcare секторе (с фокусом на автоматизацию работы страховых на US рынке). Задачи: — Разработка и оптимизация Python-бэкенда — Архитектура микросервисов и API (LLM, OCR/CV, клиент и админки) — Создание пайплайнов для LLM-агентов — Интеграция и поддержка OCR и CV-модулей — Тюнинг LLM, работа с датасетами и метриками в проде — Автоматизация процессов через RPA — Поддержка CI/CD и DevOps-процессов Требования: — Понимание архитектуры, системного дизайна и API — Уверенный опыт с Python (4+ лет) — Опыт с LLM-агентами, OCR/CV или похожими AI-модулями — Prompt engineering, тюнинг LLM и датасеты — Понимание / применение RPA — Опыт с CI/CD, Docker, продакшен-развёрткой Бонус: опыт в healthcare и AI-комплаенсе Условия: — USD 6000-10000 / мес — Remote (timezone +-2-3 часа от CET) — Офлайн-встречи несколько раз в год (EU, другие локации) — Работа в core team c founder’ом и СTO.

Задачи: — Участие в проектах разработки, внедрения и сопровождения программного обеспечения. — Разработка серверной части БД PostgreSQL: разработка и поддержка хранимых процедур, функций и пакетов (при необходимости), а также отчетов любой сложности. — Создание эффективных и масштабируемых решений. — Написание и оптимизация производительности SQL запросов и хранимых процедур. — Выявление и устранение узких мест в производительности. — Активное участие в проектировании структуры базы данных и выборе оптимальных решений, учитывающих особенности предметной области и требования к производительности. — Анализ и устранение проблем, связанных с работой базы данных, включая вопросы производительности, доступности и безопасности. — Документирование разработанного кода и процедур. — Взаимодействие с другими командами разработки для обеспечения интеграции базы данных с другими компонентами программного обеспечения. Требования: Обязательные: — Опыт работы от 2-х лет с PostgreSQL в качестве разработчика БД. — Опыт работы в консоли PostgreSQL. — Отличное знание SQL и опыт написания сложных запросов, хранимых процедур и функций на PL/pgSQL. — Опыт оптимизации SQL запросов и хранимых процедур для повышения производительности. — Опыт работы с большими объемами данных и понимание принципов масштабирования баз данных. — Понимание принципов проектирования реляционных баз данных и оптимизации структуры данных. — Умение анализировать и диагностировать проблемы, связанные с работой базы данных. — Умение работать в команде, эффективно общаться с коллегами и заказчиками. — Ответственность, внимательность к деталям и стремление к постоянному профессиональному развитию. Желательные (будет плюсом): — Опыт разработки высоконагруженных приложений, работающих с PostgreSQL. — Опыт работы с другими СУБД, такими как Oracle (знание PL/SQL будет большим плюсом). — Знание принципов работы репликации и кластеризации PostgreSQL. — Опыт работы с системами контроля версий (Git). — Опыт работы с инструментами CI/CD (Continuous Integration/Continuous Delivery) для автоматизации развертывания изменений в базе данных. — Опыт работы с инструментами мониторинга производительности PostgreSQL. Условия: — Трудоустройство в соответствии с ТК РФ. — Компания имеет аккредитацию в сфере информационных технологий. — Полностью дистанционный формат работы, открыты для соискателей из любой точки России. — Обеспечение необходимым техническим оснащением для работы. — Полный социальный пакет. — Приветствуются заявки от всех квалифицированных кандидатов, включая лиц с инвалидностью. — Стремление создать инклюзивную рабочую среду. Этапы отбора: — Первичное телефонное интервью. — Онлайн-собеседование. — Решение.

Задачи: — Поддерживать продуктовые чарты для платформенных продуктов, включая пользователей, проблемные области, нецелевые задачи и метрики успеха — Определять и владеть видением, дорожной картой и OKR для основных возможностей платформы — Выявлять и приоритизировать болевые точки разработчиков, используя качественные и количественные данные с фокусом на влияние — Переводить потребности платформы в четкие продуктовые требования и приоритеты — Сотрудничать с инженерной командой для оценки технических компромиссов и решений, ориентируясь на масштабируемые возможности платформы, а не на индивидуальные решения для команд — Продвигать стандарты платформы среди команд — Определять и отслеживать метрики успеха, такие как производительность разработчиков, надежность и эффективность затрат — Согласовывать инвестиции в платформу с целями роста и масштабирования компании — Проводить исследование через интервью с разработчиками, опросы Dev Experience, анализ прерываний поддержки, обзоры инцидентов и метрики платформы (например, DORA, надежность CI/CD) — Руководить миграциями и устареваниями с эмпатией, ясностью и последовательностью — Тесно сотрудничать с EM и старшими инженерами, проводя большую часть времени встраиваясь в инженерные команды Требования: — Сильное продуктовое мышление в сочетании с технической грамотностью в области разработки ПО, инструментов для разработчиков или систем — Опыт работы с высокотехническими внутренними продуктами (платформы, инструменты, инфраструктура или системы для разработчиков) — Способность эффективно работать в условиях неопределенности и конфликтующих приоритетов — Доказанная способность оспаривать приоритеты и добиваться согласия среди внутренних заинтересованных сторон — Склонность к использованию рычагов, стандартов и умолчаний, основанная на убеждении, что стандартизация раскрывает креативность — Твердое концептуальное понимание/знакомство с облачными платформами и инфраструктурой, современными распределенными системами, компромиссами между надежностью и скоростью, абстракцией и гибкостью, стандартизацией и автономией команд, SLO, метриками DORA и метриками эффективности затрат — Способность анализировать и оспаривать технические RFC и архитектурные предложения на концептуальном уровне, ориентированном на результат Преимущества: — Предыдущий практический опыт работы инженером-программистом или менеджером инженерной команды перед переходом в продуктовый менеджмент Условия: — Помощь с релокацией в Испанию (Барселона) — Конкурентный финансовый пакет с акциями, отпуском и медицинской страховкой — Ежемесячный щедрый бюджет на уроки на Preply.com, бюджет на обучение и время для саморазвития — Доступ к бесплатным платформам поддержки психического здоровья — Доступ к wellness- и фитнес-центрам, партнерским с Gympass по всей Испании Описание команды: Платформенный триб в Preply объединяет команды, отвечающие за внутренние основы, которые позволяют инженерам надежно и масштабируемо строить, развертывать и эксплуатировать Preply. В настоящее время в Preply около 200 инженеров, с планами увеличить команду еще на 100 в этом году, что делает платформенный триб критически важным для следующей фазы роста компании.

Требования к кандидату: — Гражданство и локация РФ — Высшее образование ИТ, техническое, математическое — От 2х лет в роли Python-разработчика — Опыт работы с системой контроля версий Git — Глубокое владение Python 3.11+: GIL, оптимизация и профилирование, асинхронность (asyncio), типизация — FastAPI (Pydantic) и/или Django (DRF) — проектирование сервисов — Проектирование REST API, контракты OpenAPI/Swagger — Оптимизация SQL-запросов, PostgreSQL, миграции (Alembic) — SQLAlchemy — Тестирование: pytest — обязательное; построение пирамиды тестирования, интеграционные тесты — Управление зависимостями: pip / poetry / uv — Знание принципов и архитектуры web-сервисов и REST API — Проектирование микросервисных решений — Уверенная работа с Docker (включая docker-compose) — Kubernetes — плюс — Опыт работы с брокерами сообщений (Kafka/RabbitMQ) — плюс — Опыт анализа логов, сквозной трассировки (distributed tracing), конфигурирования мониторинга и алертинга — Настройка пайплайнов CI/CD: GitLab CI — Опыт работы по Scrum/Kanban — Навыки наставничества — Английский язык, уровень B1: чтение технической документации, деловая переписка Условия: — Full-time, 5/2 — Вилка до 250к рублей на руки О компании: Группа компаний «Арт-Финтех» более 20 лет на рынке — международный поставщик инновационных банковских программных решений. Компания разрабатывает ПО для финансового сектора.