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Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE: We are looking for a Software Engineer to work on the systems that let operators author, deploy, and manage robot workflows at scale. This sits at the intersection of backend infrastructure and product - you'll build the services that coordinate fleets of robots, the tooling that lets operators express what they want robots to do, and the interfaces that give visibility into what's actually happening on the floor. This is a full-stack role with a strong backend lean. You'll work closely with the robotics, AI, and product teams to build systems that are real-time, multi-tenant, and mission-critical. WHAT YOU’LL DO - Build and maintain backend services that coordinate robot fleets at runtime: workflow state management, event logging, and the APIs that robots, operators, and third-party systems use to interact with the platform - Develop and evolve the workflow authoring experience - tooling that lets operators define, deploy, and incrementally refine robot workflows in natural language, without needing to understand the underlying representation - Build on-robot services that enable remote control, workflow execution, state reporting, and diagnostics - Own the data infrastructure that tracks workflow execution: event logs, conformance metrics, and the audit trails that let operators understand what robots are doing and why - Build and maintain reliable, secure cloud infrastructure for running these services, including deployment pipelines, observability, and alerting - Implement testing and validation pipelines to catch regressions across the UI, backend, and on-robot services - including simulation-based workflow validation before changes hit production WHAT WE’RE LOOKING FOR - Strong backend engineering skills in Python, Go, or similar - Solid understanding of API design, data modelling, and the tradeoffs in distributed systems (consistency, concurrency, fault tolerance) - Experience with cloud infrastructure and deployment: containerisation, CI/CD, infrastructure-as-code - Comfort working across the stack from frontend to backend - Experience with observability and alerting in systems where failures have real operational consequences - Good instincts for where complexity should live and how to keep systems debuggable and understandable as they grow NICE TO HAVE - Familiarity with workflow engines, state machines, or coordination systems — ideally in a multi-agent or fleet context - Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions - Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language - Experience integrating with third-party enterprise systems (WMS, ERP, or similar) - Background in robotics or real-time systems where execution state and side-effects need to be managed carefully WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Задачи: — создание цифровых помощников для управления рисками инвестиционных портфелей в мультиагентной системе, анализирующей отчетность эмитентов, новостную повестку, судебные производства, котировки, кредитные рейтинги. Требования: — глубокое понимание архитектуры и принципов работы больших языковых моделей (LLM); — опыт разработки и интеграции AI-агентов и multi-agent систем; — понимание методов и алгоритмов машинного обучения и обработки естественного языка (NLP); — опыт с RAG (retrieval-augmented generation) и Knowledge Graph; — навыки prompt engineering; — опыт с инструментами и фреймворками: LangChain, GigaChain, LangGraph, LangFlow, n8n, Flowise, OpenRouter, NeuroAPI, GigaChat, ChatGPT, DeepSeek, Qwen, Mistral; — программирование на Python (приоритет); Java/Go/JavaScript — будет плюсом; — разработка и интеграция backend-сервисов и WebUI для AI-решений; — протоколы обмена данными: REST, WebSocket, JSON-RPC, gRPC; — системы логирования, мониторинга и диагностики для AI-приложений; — базовые DevOps и CI/CD практики; — опыт реализации и сопровождения AI-агентов в production-средах; — разработка приложений на базе LLM с использованием популярных open-source и коммерческих моделей; — интеграция внешних данных (базы знаний, API) для расширения возможностей AI-агентов; — построение кастомных пайплайнов обработки запросов и ответов; — участие в проектах по оптимизации производительности и масштабируемости LLM-систем; — командная разработка и взаимодействие с продуктовой и DevOps-командами. Условия: — удаленная работа; — полная занятость; — грейд middle+/senior; — зарплата от 260 000 до 350 000 ₽ в месяц.

Location: București, Romania Workplace: hybrid EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people . With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the job: We are looking for a QA Tester (AQA) with a strong foundation in manual testing to support and expand our automation efforts.  This role is not just about writing scripts. It requires a deep understanding of what to test, how to test, and why it matters. You will ensure product quality through a combination of solid QA practices and automation-first execution. What You’ll get to do: Quality Assurance and Test Design (Foundation) Understand business requirements and translate them into clear, structured test scenarios Design effective test coverage including positive, negative, edge cases, and risk-based scenarios Identify gaps, risks, and potential failure points early in the development cycle Perform root cause analysis and provide clear defect reports with impact assessment Automation Development and Ownership Design, develop, and maintain automated test scripts (UI and API), primarily using Playwright Ensure automation reflects real user behaviour and meaningful test scenarios Contribute to improving the automation framework for scalability and maintainability Continuously expand automation coverage to reduce manual regression effort Test Execution (Manual and Automated) Execute both manual and automated tests depending on context and coverage needs Perform exploratory and ad-hoc testing for new or complex features Validate automation results and ensure reliability of test outcomes Identify regression scope and ensure critical areas are properly covered CI/CD and Quality Visibility Integrate and maintain automated tests within CI/CD pipelines Monitor test execution results and investigate failures Provide clear reporting on test results, risks, and quality status Support release decisions with data-driven insights Collaboration Work closely with developers, product managers, and QA to align on quality expectations Participate in agile ceremonies such as stand-ups, sprint planning, and retrospectives Share knowledge and contribute to improving QA and automation practices across the team What we’re Looking For: QA and Testing Fundamentals Strong foundation in manual testing and QA methodologies Ability to understand requirements and design effective test scenarios Experience in defect analysis and risk-based testing Automation and Technical Skills Hands-on experience with test automation tools (e.g. Playwright, Cypress, Selenium) Basic programming knowledge (preferably JavaScript) Experience with API testing Familiarity with Git or version control Soft Skills Strong problem-solving and attention to detail Good communication skills in English Proactive mindset and willingness to learn Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Enjoy a flexible hybrid work schedule after your first three months with us. Benefit from two Free Fridays each year, limited to one per quarter. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions. thrive both personally and professionally. Come join us and experience the difference!

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Switzerland Responsibilities The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Desirable Skills, Knowledge, and Experience Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Business Fluency in German Bonus Points Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London, England, United Kingdom 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 Fanatics Markets: Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow - from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview: Fanatics recently acquired a CFTC-registered Designated Contract Market and Derivatives Clearing Organisation, giving Fanatics Markets its own fully regulated exchange and clearinghouse infrastructure. We are now building the engineering team that will run it. This Senior Software Engineer (Backend) role sits at the heart of that build. You will have significant ownership over the core exchange platform, working on the systems that power order processing, market data distribution, trade lifecycle management and regulatory reporting for a CFTC-regulated exchange. The engineering challenges are those of any serious regulated trading environment, high-availability, low-latency, mission-critical infrastructure, but built for a consumer audience with the reach and distribution of Fanatics behind it. You will be joining a team modernising an existing Java codebase and building new services in Java, working alongside engineers with deep backgrounds in regulated financial infrastructure. You will be joining a team with a clear ambition: to bring this platform to the bleeding edge of financial infrastructure. This is not a clean slate but the technical ambition is real, and engineers who join now will have a level of architectural influence and ownership that is hard to find anywhere else. We are pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation and who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards. Responsibilities: Lead the design, development, testing, and deployment of high-performance, fault-tolerant distributed backend services supporting the FMX exchange platform. Own services and features end-to-end: spec writing, implementation, instrumentation, deployment, monitoring, and iteration based on metrics. Work within and help modernise the existing Java codebase while contributing to new service development in Java and potentially Kotlin. Contribute to the architecture for order processing, market data distribution, and trade lifecycle management on a CFTC-regulated exchange. Build and maintain reliable daily reporting pipelines, ensuring data integrity and full audit trails across all trading activity. Participate in 24/7 on-call rotations, contribute to SLO definition, alerting strategy, and incident response for mission-critical trading infrastructure. Model and manage data for contracts, orders, positions, and settlements with an emphasis on correctness, integrity, and regulatory auditability. Collaborate with the DevOps/Platform team to ensure services are observable, scalable, and compliant with MNPI and insider trading restrictions. Conduct thorough code reviews, raising the bar on code quality, readability, security, and maintainability. Leverage AI tools to accelerate development velocity while maintaining high standards for security, correctness, and regulatory compliance. Establish and document team standards for AI usage, prompt patterns, code review checklists, and validation strategies. Contribute to a fast-paced environment, unblocking others and taking initiative where processes are still being defined. Qualifications: 5+ years of experience building highly scalable, high-performance backend applications or distributed systems. Background in regulated exchange or financial infrastructure strongly preferred, brokerage, futures or derivatives exchanges (e.g. CBOE, CME, ICE), market makers, or hedge funds with relevant trading infrastructure experience, or similar CFTC/SEC-regulated environments. Strong production experience with Java; Kotlin experience a plus. Experience with event-driven architectures (Kafka, Kinesis, PubSub, or similar) in a financial or high-throughput context. Strong understanding of data integrity and transaction management in PostgreSQL or equivalent RDBMS, including financial-grade data modelling. Solid grasp of software design principles (SOLID, DRY) and testing methodologies (unit, integration, end-to-end). Familiarity with CFTC compliance requirements, MNPI handling, and audit trail obligations in a regulated trading environment. Experience with CI/CD pipelines, automated testing, and safe deployment practices for backend services. Production reliability experience: monitoring, logging, alerting, on-call, and SLO definition. Demonstrated experience using AI tools (Claude Code, Cursor, Copilot, etc.) to ship production code; able to articulate specific workflow improvements. Communicates complex technical concepts clearly to engineering, compliance, and business stakeholders. Thrives in a fast-paced, high-growth environment where priorities evolve and decisions are made quickly. Preferred Qualifications: Previous experience at a US-regulated financial exchange or licensed trading platform (e.g. CBOE, CME, or similar). Familiarity with low-latency trading systems, order book design, or market data infrastructure. Experience with low-latency in-memory systems and the performance engineering techniques required to operate them at scale. Experience with Aeron or similar high-performance messaging frameworks used in financial trading environments. Experience modernising legacy Java codebases in a financial services context. Previous experience in a high-growth or scale-up environment. Contributions to open-source projects or the technical community. 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 connections 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. Ready to build the future of regulated prediction markets? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. 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: — null Требования: — Опыт в Backend разработке от 5 лет — Знания Python на высоком уровне — Опыт работы с микросервисной архитектурой — Опыт с Django, FastAPI, Celery, Postgres, ClickHouse, asyncio, RabbitMQ, Kafka, Redis — Опыт работы с Telethon и Telegram API — Хорошее владение Docker, все проекты контейнизированы — Опыт работы с GitLab и CI/CD Условия: — удалённая работа

Команда маршрутизации в Умной поддержке занимается тем, чтобы обращение клиента сразу попадало к сотруднику, который сможет помочь лучше всего. В основе работы лежат алгоритмы, ML-модели и множество интеграций. Развиваются сервисы, которые собирают и агрегируют данные о клиенте из разных источников, взаимодействуют с ML-моделями для принятия решений и хранят историю обращений. Продукт быстро меняется, поэтому технологический фундамент маршрутизации постоянно дорабатывается. Команда поддерживает и развивает собственный язык для работы с данными, включая компилятор и сервис для написания правил маршрутизации. Главный фокус на 2026 год — улучшение обработки звонков, быстрая обработка больших объемов данных и унификация маршрутизации разных каналов для создания единого клиентского пути. Задачи: — Разрабатывать и поддерживать сервисы команды маршрутизации — Участвовать в проработке архитектуры — Прорабатывать и реализовывать технические задачи Требования: — Опыт разработки на Python — Опыт работы с базами данных — Опыт работы с брокерами сообщений, включая Kafka — Знание Application Infrastructure: VCS, CI/CD, Docker, Kubernetes, Observability — Умение проектировать сложные системы и выстраивать delivery-процессы — Знание Rust и Java будет плюсом Условия: — Работа в офисе или гибридный формат по договоренности с руководителем — Возможность работы в аккредитованной ИТ-компании — ДМС со стоматологией, включая чекапы, компенсацию покупки лекарств и льготные условия страхования для близких — Страховка от несчастных случаев и болезней — Карьерный рост с поддержкой ментора, курсами по софт- и хард-скиллам, матрицей компетенций и регулярным ревью — Работа в сильном комьюнити с экспертами, возможность делиться знаниями, выступать на конференциях, посещать митапы и писать статьи — Онлайн-консультации с психологами, юристами, специалистами по финансам и здоровому образу жизни — Компенсация затрат на спортивные абонементы, приложение Т-Спорта для онлайн-занятий и командные тренировки с коллегами — 3 дополнительных дня к отпуску с возможностью компенсации — Специальные тарифы на продукты Т-Банка и программа скидок от партнеров — Достойная зарплата, обсуждаемая на собеседовании

Location: Minsk; Tbilisi; Warsaw Workplace: hybrid As a Senior Software Quality Engineer at net2phone, you will be responsible for ensuring the highest standards of software quality. This includes both manual testing of new features and the development and maintenance of automated tests.   Key responsibilities:   Act in quality assurance and control, including functional, regression, and usability testing. Analyze software requirements and develop appropriate test cases. Conducting manual testing for new software features. Developing and maintaining automated tests using Java or C#. Writing and implementing UI and API tests. Integrating work with CI/CD tools. Proactive participation in incident review, adjusting the quality improvement strategy depending on the causes of incidents. Collaborating within a Scrum environment. Implementing new quality requirements (testing, releases) in the team if needed. Formulating a quality improvement strategy. Advocating for compliance with quality requirements in the team. Requirements: Proficient in Software Quality Assurance. Competence in Java or C# for test automation. A strong understanding of the principles of RESTful services and web application architecture. Demonstrated experience in both manual and automated testing. Experience in developing and implementing testing strategies, including both automated and manual approaches to testing. Professional in UI and API testing. Experience with CI/CD tools. Proficiency in Scrum methodologies and tools such as Jira and Testrail. Nice-to-have skills: Experience or knowledge in performance testing. We are pleased to offer: Remote work as b2b contractor or on-site/hybrid employment (Belarus) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees.

Обязанности: • Доработка и дальнейшее поддержание работы существующего центра мониторинга (отслеживание нахождения спецтехники). • Внедрение новых идей по развитию центра мониторинга (ИИ и прочие инструменты), в целях обеспечения безопасности спецтехники, своевременного реагирования на ситуации по угону, краже спецтехники. Требования: • Python • FastAPI • REST API • MySQL • Docker • Docker-compose • Linux • Kubernetes • Работа в GitLab и с CI/CD механизмами • Уровень Senior • Опыт работы с геоданными и поставщиками услуг телематики Цезарь, Виалон. Условия: • Возможности для профессионального, финансового и карьерного развития. • Официальное оформление по ТК, полный соц. пакет. • На территории БЦ столовая, обеды для сотрудников частично оплачивает Компания. • Предоставляется охраняемая парковка за счет компании.

Location: Morocco; Egypt Project Responsibilities Operate and maintain on-premise infrastructure environments across DEV, TEST, STAGING, UAT, and PROD. Ensure network zoning and environment segregation in line with External / DMZ / Internal architecture. Configure and support Web Application Firewalls (WAFs) and controlled traffic flows between zones. Operate and maintain External and Internal API Gateways. Support enterprise integrations via the Software AG integration platform. Operate identity and access management infrastructure, including miniOrange IdP, MFA, and OIDC integrations. Design, maintain, and operate CI/CD pipelines using Azure DevOps, including secure release promotion. Implement and operate Secure SDLC controls (SAST, SCA, DAST). Implement and maintain monitoring, logging, and audit capabilities (Prometheus, Grafana, Graylog, Sentry, SIEM forwarding). Support backup, replication, and disaster recovery activities, including DR testing. Requirements Must-haves 5+ years of experience in DevOps or Infrastructure Engineering. Experience with on-premise infrastructure deployment and operations in enterprise environments. Experience managing multiple isolated environments (DEV, TEST, STAGING, UAT, PROD). Knowledge of network security zoning architectures (External / DMZ / Internal). Hands-on experience working with Web Application Firewalls (WAFs). Experience configuring and supporting External and Internal API Gateways. Experience working with enterprise integration / ESB platforms (Software AG). Experience integrating and operating Identity Providers (IdP) (miniOrange). Knowledge of OIDC / OAuth2 authentication flows and Multi-Factor Authentication (MFA). Experience with TLS / mTLS secure communication and PKI-based certificate management. Hands-on experience with CI/CD pipelines using Azure DevOps. Experience implementing Secure SDLC practices, including SAST, SCA, and DAST. Knowledge of threat modeling techniques, specifically STRIDE. Experience with monitoring and observability tools (Prometheus, Grafana). Experience with centralized logging and application monitoring (Graylog, Sentry, SIEM integration). Experience supporting backup, replication, and disaster recovery processes, including DR testing.

Location: Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. IN THIS ROLE YOU WILL Master the Sentry Ecosystem & Support Elite Developers - Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. - Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. - Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. - Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes. Engineer Agentic Operations (The Scaling Engine) - Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions. - Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely. - Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously. - The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine." YOU’LL LOVE THIS JOB IF - You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort. - You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon - You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next. - You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem. QUALIFICATIONS - 4+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems. - Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories. - Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database. - AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention. - Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI. BONUS QUALIFICATIONS - Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries. - Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night. The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $100,000 to $125,000 CAD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As an Engineering Manager, Mobile at Via, you’ll own a key product line and lead a team building mobile apps that power reliable, equitable and sustainable transit for communities worldwide. You’ll pair strategic leadership with end-to-end execution, shaping product direction, scaling core experiences, and driving meaningful real-world impact by building from the ground up on Via’s established platform. About the Role: Lead the development of key mobile initiatives, such as improving rider/driver app performance, reliability, and user experience across iOS and Android Own and execute a roadmap focused on scalability (e.g. handling peak demand, optimizing app responsiveness, and reducing latency across core user flows) Drive cross-functional projects with Product, Design, and Backend teams to launch new features end-to-end, from concept through production Improve engineering quality and velocity by introducing better development practices, strengthening code review standards, and evolving mobile architecture Build and grow a high-performing team by hiring, mentoring, and supporting engineers across different levels Identify and lead improvements to team processes (e.g. release cycles, CI/CD, testing frameworks) to increase efficiency and reduce friction Contribute to broader mobile initiatives, such as aligning on shared tooling, frameworks, and long-term platform strategy About You: 7+ years of experience building mobile applications (iOS or Android), including experience working on production-scale apps Proven experience leading engineering teams and delivering complex projects end-to-end Strong understanding of mobile architecture, performance optimization, and modern development practices (e.g. CI/CD, testing, MVVM) Comfortable working across mobile, backend, and product domains to deliver cohesive solutions Collaborative and pragmatic, able to balance speed with quality and make thoughtful trade-offs Hands-on and detail-oriented when needed, while still operating effectively at a leadership level Clear communicator who builds trust across teams and creates a positive, inclusive team environment Compensation and Benefits Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $215,000 - $265,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best in class suite of products, we make transit thrive. Our teams of worldclass engineers, data-scientists, product managers, operations specialists, marketers, transit experts and more bring cutting-edge AI-powered software and innovative technology-enabled operations to our partners across the globe. Founded in 2012, Via builds solutions to digitize, automate, and enable data-driven decision making for entire transportation networks; fixed-route buses, microtransit, paratransit, school buses, autonomous vehicles, and more. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and willing to become/already are a transit nerd, we are the place for you. Even if your past experience doesn’t align perfectly with every qualification in the job description for this role, we encourage you to apply. You may be just the right candidate for this or other opportunities. Ready to join the ride? Via is an equal opportunity employer.

Location: CH - Zurich, Switzerland The Security Team of Scopely Explore (formerly known as Niantic) seeks a Senior Security Engineer to improve the security posture of our software development lifecycle, applications, and build infrastructure. Scopely Explore, known for global hits like Pokémon GO, Monster Hunter Now, and Pikmin Bloom is now part of Scopely, home to games like Monopoly GO!, Stumble Guys, and Star Trek Fleet Command. Together, we engage billions of players worldwide, and we need your expertise to keep them safe! Do you want to help secure one of the most widely used gaming platforms on the planet? We seek creative and dedicated engineers with excellent technical judgment, strong interpersonal skills, and an eagerness to embrace new technologies. What You’ll Do Implement and maintain agentic or AI-enabled workflows to speed-up common security tasks. Perform security reviews and audits of platform and application software throughout design and launch. Provide guidance and expertise to product and operations teams across Scopely. Design, build and maintain automation and tooling that amplify the Security Team’s impact and improve the developer experience. Drive initiatives in security architecture, application scanning, fuzzing, and other proactive defenses. Contribute to hardening efforts across in-house libraries, CI/CD systems, and cloud/container environments. Be responsible for third-party library reviews and manage vulnerability remediation. Educate engineers on secure coding practices and help standardize security across teams. Engage in red-team exercises and coordinate with internal teams and external pentesting partners. Qualifications Bachelors in Computer Science or related field 5+ years of experience in a global company with cloud-centric infrastructure (preferably GCP). You have implemented services and applications with the help of AI tools like Claude, Codex, OpenCode or Gemini and are adept in the use of these tools and adjacent technologies (RAG, MCP, etc). You are capable of creating automation, agentic workflows and tooling to reliably solve problems that scale to the whole enterprise. You have in-depth experience in hardening distributed web services, cloud services and platform architectures. You can demonstrate strong programming skills (preferably Go or Java) and a deep understanding of common vulnerability classes and exploitation patterns across modern stacks. Excellent communication skills and experience collaborating across distributed teams. Bonus Points... Have participated in red-team operations or managed mitigation tracking. Possess deep familiarity with build systems, artifact repositories, or large-scale infrastructure. Have delivered privacy-focused solutions for user-facing services. Have experience in code quality management or security champion programs. Have worked in a customer-centric engineering culture and value pragmatic, scalable solutions. Can demonstrate hands-on experience or research in the area of AI security and safety. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For: We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. This is an AI-first engineering role: you will spend most of your time designing agents, engineering prompts and context, building retrieval and evaluation pipelines, and directing AI coding agents - with solid .NET engineering as the foundation rather than the whole job. You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context and memory, follow permissions, and escalate to humans when needed. The team also owns the core infrastructure for evaluation, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready. This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows - and you will use AI coding agents as your primary daily development workflow. Responsibilities: Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search. Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent). Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations. Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform. Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities. Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates. Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage. Develop and maintain backend services using C# and .NET. Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team. Follow the AI landscape closely and bring new models, tools, and patterns to the team. Requirements: Must have: Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management. Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK. Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes. Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices). Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand. Solid experience with C# and .NET, API design, distributed systems, and software architecture. Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes. Strong knowledge of engineering best practices and production-grade software development. Nice to have: Python for prototyping, data work, and evaluation scripting. Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience building agent-facing tools or MCP servers. LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes. Fine-tuning, distillation, or adapter-based model customization. Experience with Creatio or other low-code CRM platforms. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Poland Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.   In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who We’re Looking For We are looking for an AI Software Engineer to design, build, evaluate, and operate AI-powered capabilities within the Creatio platform. You will join the AI teams building the agent platform that enables AI agents to safely perform real work in the product: call tools and APIs, read and write data, maintain context, follow permissions, and escalate to humans when needed. The team also owns the core infrastructure for testing, monitoring, logging, observability, and cost/performance control, ensuring AI agents are reliable, scalable, secure, and production-ready. This role combines strong software engineering expertise with hands-on AI engineering experience. You will work on enterprise-grade AI solutions, including assistants, copilots, knowledge systems, semantic search, RAG-based capabilities, and agentic workflows. Responsibilities: Design and implement AI-powered product features within the Creatio platform: assistants, copilots, agentic workflows, knowledge systems, RAG, and semantic search. Design agent architectures - tools, memory and context strategy, orchestration, permissions, guardrails, and human-in-the-loop escalation - and choose the right pattern for each problem (single LLM call vs. tool-using agent vs. multi-agent). Engineer prompts, system instructions, and agent context as first-class artifacts: versioned, reviewed, and covered by evaluations. Integrate LLM providers, MCP servers and tools, enterprise data sources, embedding pipelines, and vector/hybrid search into the platform. Build evaluation datasets, offline and online evals, quality gates, and observability (tracing, logging, drift detection) for AI capabilities. Monitor and improve the quality, latency, cost, reliability, and security of AI capabilities in production, including prompt and model updates. Identify and mitigate AI-specific risks: prompt injection, data exfiltration through tools, hallucinations, over-permissioned agents, and sensitive-data leakage. Develop and maintain backend services using C# and .NET. Use AI coding assistants and engineering agents as the default development workflow; critically review and verify agent output; contribute reusable rules, skills, and prompts to the team. Follow the AI landscape closely and bring new models, tools, and patterns to the team. Requirements: Must have: Hands-on experience shipping LLM-based features to production: prompt engineering, function/tool calling, structured outputs, context-window and cost management. Practical understanding of agent architectures (tool loops, planner/executor, multi-agent, human-in-the-loop), MCP, and at least one agent framework or SDK. Working knowledge of RAG: chunking, embeddings, vector and hybrid search, re-ranking, grounding and citations, and common failure modes. Experience with AI evaluation (datasets, offline evals, LLM-as-judge), LLM observability and tracing, and AI security (prompt injection, OWASP Top 10 for LLM Applications, Responsible AI practices). Daily proficiency with AI coding agents: the ability to direct, review, and verify agent output rather than only write code by hand. Solid experience with C# and .NET, API design, distributed systems, and software architecture. Experience with SQL databases, automated testing, CI/CD, and cloud-native development; Docker and basic Kubernetes. Strong knowledge of engineering best practices and production-grade software development. Nice to have: Python for prototyping, data work, and evaluation scripting. Hands-on experience with a major AI platform (Anthropic API, Azure OpenAI, AWS Bedrock, Google Vertex AI). Experience building agent-facing tools or MCP servers. LLMOps practices: prompt and model versioning, evaluation gates in CI/CD, canary rollouts of prompt changes. Fine-tuning, distillation, or adapter-based model customization. Experience with Creatio or other low-code CRM platforms. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Задачи: — Работа над мобильным многопользовательским шутером WELTKRIEG 1: Firestorm Требования по DevOps: — уверенное пользование Linux на уровне администратора — опыт решения инцидентов и поиска уязвимостей — знания модели OSI и понимание работы сетевого трафика — опыт работы с сервисами на уровне TCP/UDP приветствуется — уверенные знания Docker и Docker Compose — понимание работы Kubernetes (k3s, k8s, k0s и др.), опыт работы приветствуется — опыт работы с облачными провайдерами (Google Cloud, AWS, Yandex Cloud, Timeweb, Selectel и др.) — опыт работы с CI/CD: GitHub Workflows, GitLab CI/CD, Jenkins — умение работать с консольным Git Требования по Unity: — крепкое понимание Unity — хорошие знания C# — опыт сборки Unity-проектов под серверные окружения — опыт работы с Unity Dedicated Server / headless builds — опыт работы с сетевым решением Mirror — понимание особенностей multiplayer разработки — умение разбираться в логах, профилировать проблемы и находить причины нестабильной работы — умение писать поддерживаемый, понятный и тестируемый код Требования по Backend: — опыт разработки backend сервисов на C# / ASP.NET Core — понимание REST API и принципов проектирования API — опыт работы с PostgreSQL, MySQL или другими реляционными базами данных — понимание авторизации и аутентификации: JWT, OAuth, session-based auth или аналоги Будет большим плюсом: — опыт оптимизации серверной нагрузки — опыт защиты игровых серверов от злоупотреблений, DDoS, читов или нестандартного поведения клиентов Условия: — формат: полная занятость — локация: удалённо — работа над действующим мобильным multiplayer-проектом — возможность влиять на технические решения и развитие инфраструктуры проекта

Задачи: — Ведение миграции устаревших сервисов на современную архитектуру с использованием Node.js. — Владение backend-компонентами в кросс-функциональной команде для реализации end-to-end функционала. — Проектирование и реализация REST API на инфраструктуре AWS. — Мониторинг производственных сервисов для обеспечения высокой производительности, масштабируемости и надежности. — Сотрудничество с продакт-менеджерами и frontend-инженерами для выпуска качественных функций. — Использование AI-инструментов и агентных рабочих процессов для максимизации продуктивности разработки. Требования: — Свободное владение английским языком (устным и письменным). — Опыт работы с Node.js и/или Java 21+ (Spring Boot). — Практический опыт работы с AWS, Docker и Kubernetes. — Владение PostgreSQL и Elasticsearch. — Опыт работы с распределенными системами, микросервисами и межсервисным взаимодействием. — Готовность работать в офисе в Берлине не менее 80% времени. Плюсы: — Опыт работы с CI/CD пайплайнами. — Знакомство с AI-копилотами и агентами LLM. — Степень бакалавра или магистра в области компьютерных наук или смежных областях. Условия: — Визовая поддержка для международных кандидатов. — 28 дней отпуска плюс дополнительные дни за выслугу и особые случаи. — Бесплатный обед в офисе и доступ к полностью оборудованному спортзалу. — Корпоративная пенсионная программа и поддержка психического здоровья через nilo.health. — Поддержка профессионального развития и культура обратной связи. — Инициативы по устойчивому развитию через внутреннюю Green команду.

Задачи: — Ведение миграции устаревших сервисов на современную архитектуру с использованием Node.js. — Владение backend-компонентами в кросс-функциональной команде для реализации end-to-end функционала. — Проектирование и реализация REST API на инфраструктуре AWS. — Мониторинг производственных сервисов для обеспечения высокой производительности, масштабируемости и надежности. — Сотрудничество с продакт-менеджерами и frontend-инженерами для выпуска качественных функций. — Использование AI-инструментов и агентных рабочих процессов для максимизации продуктивности разработки. Требования: — Свободное владение английским языком (устным и письменным). — Опыт работы с Node.js и/или Java 21+ (Spring Boot). — Практический опыт работы с AWS, Docker и Kubernetes. — Владение PostgreSQL и Elasticsearch. — Опыт работы с распределенными системами, микросервисами и межсервисным взаимодействием. — Готовность работать в офисе в Берлине не менее 80% времени. Плюсы: — Опыт работы с CI/CD пайплайнами. — Знакомство с AI-копилотами и агентами LLM. — Степень бакалавра или магистра в области компьютерных наук или смежных областях. Условия: — Визовая поддержка для международных кандидатов. — 28 дней отпуска плюс дополнительные дни за выслугу и особые случаи. — Бесплатный обед в офисе и доступ к полностью оборудованному спортзалу. — Корпоративная пенсионная программа и поддержка психического здоровья через nilo.health. — Поддержка профессионального развития и культура обратной связи. — Инициативы по устойчивому развитию через внутреннюю Green команду.