Вакансии

Задачи: — Переводить бизнес-задачи в архитектурные и технические решения — Развивать AI-продукты, интеграции, новые каналы и источники данных — Определять затрагиваемые компоненты, API, контракты, модели данных и бизнес-семантику — Декомпозировать разработку на проверяемые задачи для AI coding agents — Проверять сгенерированный код, проводить code review, тестирование и выпуск изменений — Отвечать за стабильность, безопасность и конечный результат Требования: — Опыт промышленной разработки от 3 лет — Бэкграунд в аналитике данных, BI или системном анализе — Умение работать с бизнес-требованиями, метриками, моделями данных и интеграционными контрактами — Практический опыт промпт-инжиниринга: проектирование, тестирование и оптимизация промптов для LLM, построение многошаговых AI-флоу и достижение стабильного качества ответов — Практический опыт с LLM, AI-агентами, RAG, tool calling, structured outputs и MCP — Уверенное знание TypeScript или Python, API, SQL, Git, CI/CD и автоматизированного тестирования — Понимание принципов работы современных языковых моделей, ограничений LLM и способов повышения качества генерации — Системное мышление, самостоятельность и ответственность за продукт целиком Будет преимуществом: — Опыт создания и оптимизации сложных промптов для различных AI-сценариев (reasoning, extraction, generation, classification) — Опыт создания evals, guardrails и контроля качества AI-ответов — Опыт работы с React, Telegram-ботами, BI-платформами и семантическими слоями Условия: — Конкурентную заработную плату (обсуждается индивидуально) — Профессиональный рост и участие в масштабных проектах — Работу в крупном холдинге с активной цифровой трансформацией — Сильную ИТ-команду и поддержку руководства — Необходимость краткосрочного приезда в солнечный Ташкент для оформления

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Задачи: — Разрабатывать и рефакторить модули платформы (интерфейсы управления медиа-хранилищем) — руками агента под вашим управлением. — Проектировать поверхности взаимодействия человека и AI: чаты с потоковой передачей ответов (SSE), канвасы, дашборды агентов. — Создавать собственных AI-агентов и мульти-агентные системы, встроенные в продукт. — Разрабатывать и подключать инструменты на базе Model Context Protocol (MCP): понимать устройство MCP-серверов и проектировать клиентские решения «интерфейс — агент — инструменты». — Писать спецификации и правила для агентов, развивать реестр скиллов команды. — Ревьюить код — и человеческий, и агентский; держать планку качества. — Участвовать в планировании, оценке задач, релизах; работать в связке с аналитиками, бэкендом, дизайном и QA; менторить джунов — в том числе учить их работать с агентами. Требования: — Подтвержденный опыт разработки от 3х лет (по ТК РФ). — Глубокий практический опыт с React, Next.js, TypeScript. — Redux Toolkit (плюс — RTK Query), HTML5, CSS3, SASS/SCSS. — REST API, SSR, серверный Node.js. — Server-Sent Events (SSE): механика стриминга, обработка событий, реконнекты, graceful degradation. — Unit-тесты (Jest / React Testing Library), код-ревью, GitFlow. — SOLID, DRY, KISS — и понимание, когда агент их нарушает. — Ежедневная работа с AI-агентами в разработке: Claude Code, Codex, Cursor, GigaCode, Qwen Code, OpenCode, Roo Code, Windsurf — любой из них. — Умение управлять контекстом и сессиями агента: что положить в контекст, когда начать новую сессию, как декомпозировать задачу, чтобы агент её не «размазал». — Навык написания правил и промптов под проект: agents.md / CLAUDE.md / rules, переиспользуемые инструкции (скиллы). — Понимание MCP: что это, зачем, опыт подключения MCP-серверов к агенту. — Главное — умение ревьюить и доводить сгенерированный код: вайб-кодинг у нас заканчивается продакшеном, а не прототипом. Условия: — Официальное трудоустройство в Bell Integrator. — Конкурентная заработная плата (по итогам собеседования). — Аккредитованная ИТ-компания. — Формат работы: Москва офис (м. Кутузовская), после испытательного срока возможен гибрид. — Менторство. — Возможности карьерного роста и получения экспертизы в ведущих проектах страны. — Скидки на занятия фитнесом и собственное фитнес-приложение. — Скидки на занятия английским языком.

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 Germany 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. You'll guide startup and AI customers from the first conversation about their AI ambitions through technical validation, production deployment, and long-term adoption and 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 Startup AI segment. Technical Discovery & Validation: Partner closely with Account Executives to lead technical deep-dive discovery and uncover what kind of AI problem a customer actually has. It might be building AI products and agents, governing how their people and agents use AI, or protecting internet-facing applications from AI-driven threats and traffic. Turn that into a sequenced plan rather than a feature tour. Capture business requirements and map startup and AI customer infrastructure (DNS, CDN, Zero Trust, Network Security, serverless and edge compute) to fit-for-purpose Cloudflare architectures and bespoke solutions. Define scope, success criteria, and technical evaluation plans for Proofs of Concept (PoCs) and Technical Validations, anchored in measurable quality, latency, and cost targets rather than subjective impressions. Rapidly build working, customer-specific prototypes. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, reliability, and scale 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: Oversee technical onboarding and implementation without executing it yourself, 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). Act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Guide customers in taking AI applications and agents from prototype to production in a way that is reliable, safe, and affordable. That covers durable state and failure recovery for long-running agents; secure agent design such as defenses against prompt injection, scoped access, and human approval for sensitive actions; and the right model choices for each task. After go-live, help customers keep AI workloads healthy through tracing, quality and cost monitoring, and safe rollout of model and prompt changes, feeding production learnings back into evaluation. 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 as customers move from early-stage development to production scale. 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 and the evolving needs of startup and AI customers. Translate AI spend into clear business cases, such as cost per task or per resolved request. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for founders, C-level executives, and engineering leaders. Ecosystem & Business Development: Help build and grow Cloudflare's presence in the startup and AI ecosystem. Develop relationships with incubators, accelerators, venture capital firms, founder communities, and developer meetups to generate new pipeline alongside Account Executives. Represent Cloudflare at startup events, demo days, and hackathons, and identify high-potential AI startups early in their journey. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with founders, CTOs, engineering leaders, and other key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, agent design, AI governance and compliance (e.g. GDPR, EU AI Act, data residency), 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: Use AI agents, coding agents, Large Language Models (LLMs), and internal platforms as a default way of working. Automate routine tasks such as meeting preparation, RFP/Security Questionnaire responses, sandbox provisioning, demo setup, basic telemetry monitoring, and internal/external documentation, so you have more time for strategic customer advisory. Apply AI-assisted workflows to support customer engineering teams and improve the speed and quality of technical validation. Share hands-on learnings and gaps with product teams as a direct feedback channel. 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. Support technical enablement for startup and AI customers through workshops, code samples, documentation, and developer onboarding. 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). Experience working with startups, AI companies, digital-native businesses, or as part of a startup engineering team is strongly valued. Startup Ecosystem Network: An established network within incubators, accelerators, venture capital, and the broader startup scene is highly desirable, along with the drive to take on business development activities and open doors to new relationships. Architectural Mindset: Ability to white-board, design, and articulate complex enterprise, startup, AI application, agent, 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, founders, and technical leaders. 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, mid-market, or startup 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. Business fluency in German is required. 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 Engineering: Solid grounding in AI model fundamentals (model size, context length, reasoning models, fine-tuning versus prompting, and matching the right model to the job). Familiarity with common agent patterns, including knowing when a simple workflow beats an agent, and with open agent frameworks and standards such as MCP. Understanding of how to evaluate and operate AI systems in production. AI-Augmented Workflows: Familiarity with prompt engineering, building prototypes with coding agents, AI-assisted scripting and log analysis, 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. 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: Hands-on experience with retrieval and knowledge systems (RAG, embeddings, reranking, agentic search), domain adaptation through lightweight fine-tuning, sandboxed execution environments for agents that write and run code, LLM orchestration, or model-access controls. AI Traffic & the Agentic Web: Understanding of how AI crawlers and agents interact with internet-facing applications: protecting AI endpoints, managing bot and agent access, and exposing services to agents. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, SOC 2, GDPR, and the EU AI Act. Hyperscaler / Digital Native / Startup Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency, advanced architecture depth, and ability to operate effectively in fast-moving, ambiguous environments. Compensation For Germany based hires: Estimated annual salary is between €116,000 - €182,000. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity: This role is eligible to participate in Cloudflare's equity plan. 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.

Задачи: — Владение и развитие стратегии качества компании, включая дорожную карту и рамки ответственности для инженеров, EM и PM на каждом этапе разработки ПО. — Разработка стратегии тестирования по всему стеку: unit, component, contract, API, end-to-end, мобильное и нефункциональное тестирование (производительность, нагрузка, доступность), согласованная с каждой командой. — Развитие AI-ориентированных инструментов качества, включая агенты и навыки, такие как Claude Code, для генерации тестов, ревью кода и руководства по качеству. — Управление CI/CD и инфраструктурой тестирования: обязательные проверки, quality gates, E2E и визуальные регрессионные пайплайны, бюджеты производительности, стратегия мобильной автоматизации на эмуляторах и реальных устройствах. — Связь сигналов качества из продакшена с инцидент-менеджментом и создание рабочих дашбордов. — Техническое наставничество QA-инженеров по всей организации, поддержка их технического роста и взаимодействие с EM для оценки производительности. Требования: — Опыт использования AI для генерации тестов и создания агентных инструментов (Claude Code, MCP workflows). — Стратегическое мышление с умением адаптировать подходы к уровню зрелости команды. — Глубокий практический опыт создания и поддержки тестовых наборов: компонентных, контрактных, API, E2E, производительности. — Умение обучать и наставлять инженеров, а также заниматься hands-on разработкой CI/CD и инструментов. — Готовность влиять на дисциплину QA без непосредственного управления персоналом на старте, опыт управления QA-командой будет плюсом. Условия: — Годовая зарплата $80,000-$100,000 USD. — Полностью удалённая работа с гибким графиком, ориентированным на результат. — Работа с партнёрами из США, требуется организация рабочего времени с учётом часовых поясов. Роль не предполагает традиционного управления QA-инженерами на старте, не является ролью по утверждению тикетов или блокировке релизов, не требует создания стратегии с нуля и не измеряется ростом команды, а улучшением качества всей инженерной организации.

Задачи: — Владение и развитие стратегии качества компании, включая дорожную карту и рамки ответственности для инженеров, EM и PM на каждом этапе разработки ПО. — Разработка стратегии тестирования по всему стеку: unit, component, contract, API, end-to-end, мобильное и нефункциональное тестирование (производительность, нагрузка, доступность), согласованной с каждой командой. — Развитие AI-ориентированных инструментов качества, включая агенты и навыки, такие как Claude Code, для генерации тестов, ревью кода и руководства по качеству. — Управление CI/CD и инфраструктурой тестирования: контрольные проверки, quality gates, E2E и визуальные регрессионные пайплайны, бюджеты производительности, стратегия мобильной автоматизации на эмуляторах и реальных устройствах. — Интеграция сигналов качества из продакшена с инцидент-менеджментом и создание рабочих дашбордов. — Техническое наставничество QA-инженеров по всей организации, поддержка их технического роста и взаимодействие с EM для оценки производительности. Требования: — Опыт использования AI для генерации тестов и создания агентных инструментов (Claude Code, MCP workflows). — Стратегическое мышление с умением адаптировать подходы к уровню зрелости команды, без навязывания конкретных инструментов или метрик. — Глубокий практический опыт создания и поддержки тестовых наборов: компонентных, контрактных, API, E2E и производительных тестов. — Умение обучать и наставлять инженеров, а также самостоятельно строить CI-пайплайны и инструменты. — Готовность влиять на техническую дисциплину без непосредственного управления командой на старте, с возможностью развития управленческих функций. Условия: — Годовая зарплата от 80,000 до 100,000 USD. — Полностью удалённая работа с гибким графиком, ориентированным на результат. — Работа с партнёрами из США, требуется организация рабочего времени с учётом часовых поясов. Роль не предполагает традиционного управления QA-инженерами на старте, не требует переписывания существующих процессов и инструментов, не является ролью по утверждению тикетов или блокировке релизов, и не оценивается по росту численности команды, а по улучшению качества всей инженерной организации.

Задачи: • Разработка backend-сервисов банковского приложения на .NET 8 • API для мобильного приложения и веба • Работа с транзакциями, лимитами, комиссиями и идемпотентностью • Интеграции с платёжными и банковскими системами • Архитектура и code review • Активное использование AI для кода, тестов, документации и миграций Требования: • 4+ года коммерческой разработки на C#/.NET • .NET Core / .NET 6–8+, Web API, EF Core • Микросервисы, REST/gRPC, RabbitMQ/Kafka • SQL, Docker • Claude Code / Copilot и умение критически проверять AI-код • OAuth2/OIDC, JWT, шифрование, OWASP Top 10 • Опыт с транзакционной логикой Будет плюсом: финтех/банкинг, PCI DSS, ISO 8583/20022, MCP, CI/CD и AI-автоматизация тестирования.

Задачи: — Разворачивать и обслуживать Kubernetes-кластеры (OpenShift, BareMetal). — Строить и поддерживать CI/CD-пайплайны (GitLab CI, Jenkins, TeamCity) от коммита до прода. — Администрировать с-системы, виртуализацию и сети. — Работать с инфраструктурным стеком: Docker, Ansible, PostgreSQL, Kafka/RabbitMQ, Vault. — Настраивать и развивать системы мониторинга (Prometheus, Grafana) и логирования (ELK). — Автоматизировать рутину на Bash/Python. Требования: — Официальный опыт работы в роли DevOps от 3 лет. — Понимание специфики жизненного цикла AI-агентов или ML-моделей. — Практический опыт разработки и развертывания автономных AI-агентов с использованием базового окружения (MCP, RAG). — Опыт работы с Kubernetes (установка, обновление, управление). — Практические навыки по настройке CI/CD, сборке артефактов (Harbor, Nexus). — Глубокое понимание Linux, сетей, балансировки (Nginx/Haproxy). — Знание принципов работы контейнеров, СУБД, брокеров сообщений. Условия: — Работа в офисе Москвы (удаленки и гибрида нет). — Работа в стабильной компании, "белая" заработная плата. — Оформление в соответствии с ТК РФ с первого дня работы. — Расширенный социальный пакет: ДМС (включая стоматологию), корпоративные скидки на посещение фитнес-клубов, футбольная и волейбольная секции. — Профессиональное обучение и развитие. — Снабжение всей необходимой современной техникой: мощный ноутбук привезут прямо в день оформления.

Location: Canada Remote; Argentina Remote Workplace: Remote ABOUT THE TEAM Teams do their best work when they’re aligned, and alignment depends on shared context. Today, the context that matters most to a team is scattered across a dozen tools: tickets in Jira and Linear, specs in Confluence and Google Docs, decisions buried in meeting notes, threads in Slack and Teams. Every new conversation starts with someone hunting it down. We’re changing that. The Integrated Workflows team is building the layer that brings a team’s real working context into Mural, so people (and the AI working alongside them) can align on shared knowledge and design the workflows they need. When this works, a person opens a canvas and the project, the open work, the last three meetings, and the doc everyone keeps referencing are already there. No team should have to start from a blank canvas. That’s the problem we’re solving, and we’re early enough that the person in this seat will shape how it’s done.   YOUR MISSION This isn’t connector maintenance. You’ll be defining how an AI-native product reaches into the outside world: what context to pull, how to represent it so models can reason over it, how to respect permissions and privacy across systems that each model them differently, and how to make all of that feel effortless to the end user. Few teams anywhere are working at this intersection of AI, integrations, and collaborative product design. WHAT YOU'LL DO - Design and build connectors, including MCP-based connectors, that bring context from systems of record, docs and wikis (Confluence, Google Docs, Notion, and others), meeting notes, and communication tools into the Mural canvas - Shape how that context is modeled, normalized, and made useful to users, so the canvas becomes a live picture of how a team works rather than a snapshot of one meeting - Bridge product and engineering: translate messy realities (different auth models, data shapes, rate limits, permission systems, partner review processes) into a product experience that just works - Build the integration platform, the shared frameworks, services, and patterns that let any team at Mural ship connected, context-aware experiences without starting from scratch - Own the security and trust posture of everything crossing our system boundary, including permissions, data handling, and graceful behavior when an upstream service misbehaves - Maintain and evolve our public API with the backwards-compatibility discipline a published interface demands - Lead projects end to end, from research and prototyping through release and iteration, with a bias toward getting value into customers’ hands quickly - Use AI tools as a core part of how you build, and help the team get better at it - Mentor colleagues, contribute to technical design, and raise the bar on code quality, testing, and documentation WHAT YOU'LL BRING - A product mindset: you care about why something is being built and who it’s for, not just how - 5+ years building and shipping production software at scale, with fluency in TypeScript/JavaScript and Node.js (React and Python are a plus) - Hands-on experience integrating with third-party APIs and platforms: OAuth and token lifecycle, webhooks, rate limiting and backoff, pagination, versioning, and degrading gracefully when things fail - Genuine curiosity about AI-driven products and development practices, and a willingness to experiment - A track record of designing scalable, reliable systems and delivering them iteratively - Strong communication skills and comfort leading technical discussions and navigating trade-offs NICE TO HAVE - Familiarity with the Model Context Protocol (MCP) or interest in learning it - Experience with the Microsoft ecosystem (Teams, Office add-ins) or shipping through a partner marketplace or app review process - Experience designing or maintaining a public developer API - Background in high-growth or startup environments Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process  evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security. You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions. You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point. You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls. What we look for You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls. You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries. You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews. You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira). You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS. You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals. You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus. This posting is for an existing vacancy This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $173,000 - $233,000 #Li-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The InfoSec team protects Affirm’s systems and data from evolving threats. We manage security risk, monitor vulnerabilities, and enforce protective controls across the company. The team leads incident response, compliance, identity and access management, and employee training. Our goal is to ensure that security is built into every system and decision at Affirm. We maintain a secure, trustworthy environment so the business can operate and grow with confidence. In this role, you'll build and run Affirm's end-to-end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirm adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatable. What you’ll do You will lead and continuously improve Affirm's enterprise AI security review process  evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phase. You will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediation. You will review source code, system prompts, agent configurations, and tool/permission manifests (e.g., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch. You will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, IaC) — to enforce and automate AI security. You will evaluate the AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews and drive risk-based adoption decisions. You will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI-specific incident response playbooks as a senior escalation point. You will lead cross-functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controls. What we look for You are a seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems, plus deep expertise in enterprise security systems, processes, and controls. You have practical experience threat modeling and reviewing AI/LLM applications (e.g., against the OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries. You have built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (e.g., Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews. You have experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with the corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira). You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS. You understand how LLMs and agentic systems are built (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access, with strong application-architecture and threat-modeling fundamentals. You can lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $220,000 - $280,000 USA base pay range (all other U.S. states) per year: $195,000 - $255,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Integration Engineer Job Description We are seeking an experienced Integration Engineer to join our enterprise integration engineering team at PlayStation. We are responsible for delivering reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise. As an Integration Engineer, you will design, develop, maintain and support integration solutions using MuleSoft and SnapLogic platforms. You will work across a wide range of integration use cases, applying modern integration patterns and best practices to connect systems across SaaS platforms, AWS-hosted COTS applications, cloud-native services, and bespoke on-premise systems. Working closely with global engineering and business teams across multiple time zones with a high degree of ownership and limited supervision. You will have strong and demonstrable experience of industry-standard integration design patterns and approaches, including implementing API-based real-time integrations, event-driven and pub-sub architectures, asynchronous request-response, and batch/data integrations patterns across multiple integration platforms. What you'll be doing: Integration Architecture & Design Produce and maintain high-quality integration designs (HLDs and LLDs) addressing both functional and non-functional requirements. Select and apply appropriate integration patterns (real-time, event-driven, pub-sub, asynchronous, batch) based on business and technical requirements. Ensure the designs are clearly documented, socialised with the relevant stakeholders, and capture the rationale for integration design decisions. Define API specification and integration contracts, implementing a scalable, secure, and reusable integration solution aligned to enterprise standards (e.g. security) Identify risks, issues, and constraints, and communicate them timely and effectively to the stakeholders. Actively contribute to the integration teams best practices and design patterns maturing the teams design and delivery processes. Integration Development Participate in Agile/Scrum delivery activities including sprint planning, estimation, and implementation. Develop, test, deploy, and support integration solutions using MuleSoft and SnapLogic, following established SDLC and DevOps practices Implement integrations across enterprise environments, including SaaS platforms, AWS-hosted applications, cloud-native services, and on-premise/bespoke systems Implement CI/CD pipelines, automated testing (e.g. MUnit or equivalent), and release management processes. Ensure integrations are secure, scalable, resilient, and observable, including logging, monitoring, error handling, and performance optimisation Leverage AWS-native messaging and eventing services (e.g. SQS and SNS) to support decoupled and event-driven integration architectures Collaborate with product managers, architects, and engineering managers and teams to deliver end-to-end integration solutions Work with core capabilities of integration platforms, including API management, gateway policies, runtime and deployment environments, data transformation, connectors/adapters, and orchestration/pipeline frameworks across MuleSoft and SnapLogic Drive reuse, standardisation, and continuous improvement across integration solutions and platform usage. Support production deployments, incident resolution, and root cause analysis activities. Participate in on-call and production support rotations. Work with globally distributed teams across US and Japan time zones. What we're looking for: 10+ years of experience of designing and delivering enterprise integration on one or more integration platform (e.g. Informatica, Dell Boomi, OSB, or similar) 5+ years of experience of hand-on integration design and development experience on MuleSoft and/or SnapLogic. MuleSoft and/or SnapLogic certification. Experience with AWS SQS and SNS. Experience with GitHub Actions, Jenkins, Maven, ReadyAPI/Postman. Exposure to emerging integration approaches such as MCP Servers and agentic based integrations is desirable. Skills Strong problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and within globally distributed teams. Ability to quickly learn and adapt to new integration technologies and platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: — Разработка и развитие бэкенд-сервисов банковского приложения на .NET 8 — Проектирование и реализация API для мобильного приложения и веба — Активное использование AI-инструментов для генерации кода, тестов, документации и миграций — Работа с финансовой логикой: транзакции, лимиты, комиссии, идемпотентность операций — Интеграции с платёжными и банковскими системами — Участие в проектировании архитектуры и код-ревью Требования: — Опыт разработки: от 4 лет коммерческой разработки на C# / .NET, уверенный опыт с .NET Core / .NET 6–8+ — Стек: Core, Web API, Entity Framework Core, микросервисы, REST/gRPC, очереди (RabbitMQ / Kafka), уверенный SQL, Docker — AI-компетенции: ежедневная практика с Claude Code / Copilot, умение декомпозировать задачи для AI и критически ревьюить сгенерированный код — особенно в финансовой логике — Понимание безопасности: OAuth2/OIDC, JWT, шифрование данных, OWASP Top 10 — Опыт работы с транзакционной логикой и требованиями к надёжности — Английский B2+ — Будет плюсом: коммерческий опыт в финтехе / банкинге / платежах — Будет плюсом: PCI DSS, ISO 8583 / ISO 20022, интеграции с процессингом и эквайрингом — Будет плюсом: MCP, автоматизация CI/CD и генерация тестов с помощью AI Условия: — Полностью удаленная работа — Гибкий график — Оплата в USD/USDT — Минимум бюрократии и гибкие процессы — Работа в сильной команде над интересным проектом — Возможность расти и развиваться вместе с командой

Location: Hyderabad, India Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability. WHAT YOU'LL ACHIEVE: - Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance. - Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff. - Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates. - Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure. - Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions. - Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation. - Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns. - Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution. - Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions. - Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution. - Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly. - Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work. - Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel. - Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time. - Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements. SKILLS YOU'LL NEED TO BRING: - 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role. - Strong hands-on Python development experience. - Working experience with Node.js, JavaScript, or TypeScript. - Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation. - Experience working with REST APIs, JSON, authentication, webhooks, and system integrations. - Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff. - Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation. - Experience with Git, code review, automated testing, release practices, and production deployment. - Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems. - Evidence of working on production systems, not only prototypes or proof-of-concept projects. - Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders. - High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation. NICE TO HAVES: - Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation. - Experience with AWS, GCP, or Azure. - Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits. - Experience with monitoring, logging, alerting, or other observability tools. - Experience with enterprise SaaS applications, professional services, or large-scale customer implementations. - Experience migrating large volumes of content or structured data between enterprise platforms. - Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows. - Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms. - Experience working with distributed global or APAC teams. WHAT SUCCESS LOOKS LIKE: In your first 90 days, you will: - Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model. - Establish a productive working rhythm with regional FDE partners. - Contribute to at least one migration or integration workstream through production delivery. - Leave behind clear technical documentation, validation evidence, and an operational runbook. Within your first six months, you will: - Independently own production migration or integration workstreams from technical design through rollout and handoff. - Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering. - Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team. - Demonstrate effective prioritization and communication across multiple concurrent APAC engagements. - Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement. LOCATION: This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Разрабатывать повторно используемые паттерны для агентных сервисных рабочих процессов, оркестрации, протоколов HITL, логики переопределения и эскалации, механизмов обеспечения качества, чтобы разработчики могли собирать решения из проверенных компонентов — Устанавливать стандарты, которым следуют разработчики, достаточно конкретные для применения без вашего участия — Избирательно прототипировать рабочие процессы для проверки паттернов, выявления пробелов или решения сложных задач, затем выделять повторно используемые части и передавать их — Внедрять полученные знания из каждого проекта обратно в общие паттерны для повышения скорости и безопасности — Влиять на продуктовую команду, формируя приоритеты и конкретные запросы на разработку, основанные на данных и опыте разработчиков — Прототипировать решения для пробелов в платформе, доказывая необходимость их создания — Оценивать возможности автоматизации по объему, риску и влиянию на клиента, используя SOP, операционные метрики и данные взаимодействий — Работать с командой данных для определения метрик производительности рабочих процессов — Определять процессы, которые не должны быть автоматизированы — Обеспечивать качество, включая участие в юридических, безопасностных и комплаенс-ревью, чтобы требования были заложены в паттерны — Представлять результаты портфеля старшим заинтересованным сторонам кратко и эффективно Требования: — Более 8 лет опыта в операциях, продукте или AI, включая минимум 2 года в проектировании и внедрении AI-поддерживаемых или агентных рабочих процессов в продакшене — Практический опыт работы с агентными инструментами, оркестрационными фреймворками или интеграциями MCP, включая координацию нескольких агентов — Глубокое понимание LLM-систем: дизайн запросов, оценка и поведение моделей в масштабе — Опыт проектирования систем с участием человека в цикле, с четкой логикой эскалации, контролем переопределения и соблюдением требований — Умение определять и анализировать метрики рабочих процессов (уровень решения, сдерживание, качество эскалации) и отличать реальные регрессии от шума — Успешный опыт влияния на продукт, инженерные, юридические, безопасностные и комплаенс-команды в письменной форме, на дизайн-ревью и в важных форумах — Знакомство с практиками ответственного AI, управлением и управлением рисками в продакшене — Опыт работы в условиях активного переопределения функций Желательно: — Опыт с архитектурами RAG и оптимизацией качества поиска — Способность оценивать данные, качество и управление для поддержки надежной агентной работы — Опыт работы в SaaS, финтехе или регулируемых средах с реальными ограничениями комплаенса — Знакомство с процессами AI-управления или обзором безопасности Условия: — Годовая зарплата от $168,420 до $210,525 для Денвера и большинства крупных городов, от $197,895 до $247,369 для Сан-Франциско и Нью-Йорка — Гибридный формат работы с офисами в Денвере, Сан-Франциско и Нью-Йорке, ожидание присутствия в офисе 2-3 дня в неделю — Требование надежного и безопасного интернет-соединения при работе вне офиса — Компания предоставляет конкурентную базовую оплату, льготы и акции (RSU) — Равные возможности при найме и поддержка кандидатов с инвалидностью

Задачи: — Разработка Co-Pilot решений (RAG + LLM) и микросервисов в качестве MCP-инструментов. — Проектирование и интеграция AI-агентов, Code Review и менторство. — Участие в Scrum-процессах и проектировании архитектуры. Требования: — Коммерческий опыт на Python — от 4 лет. — Опыт внедрения AI-агентов в пром (LangChain, LangGraph). — Микросервисы, асинхронный Python, SOLID, PostgreSQL, Unit-тесты. Будет плюсом: — DDD, Kafka, Qdrant, OpenSearch. — Навыки Vibe Coding, промпт-инжиниринга и AI-ассистентов (Cursor, Copilot).

Задачи: — Руководство командой разработчиков (не менее 3 человек) — Разработка и модификация программного обеспечения с использованием Java и связанных технологий Требования: — Опыт работы разработчиком от 5 лет с 2019 года по настоящее время — Опыт работы с Java, Spring, Hibernate, Gradle, JMS, JAX-WS, Git, Jenkins, UML, Junit — Опыт управления командой разработчиков (не менее 3 человек) — Опыт командной разработки с использованием Confluence и Jira — Опыт работы по каскадным (waterfall) и гибким методологиям (Agile, DevOps, Scrum) — Знание и применение SDD-ориентированного подхода (Specification-Driven Development) — Продуктовое мышление и умение переводить бизнес-потребности в технические контракты — Критическое отношение к сгенерированному коду и понимание ограничений LLM — Навыки промпт-инжиниринга уровня не ниже Middle — Владение техниками декомпозиции задач для работы с агентами — Навыки управления контекстом для агентов, включая подготовку документации и конфигураций CI/CD — Опыт работы с MCP (Model Context Protocol) и подключением внешних инструментов через MCP-серверы — Опыт использования машиночитаемых спецификаций для CI/CD (Gherkin, JSON/YAML, OpenAPI/Swagger, Pact) — Опыт версионирования промптов и системных инструкций с использованием PR -> Review -> Merge — Навыки отладки взаимодействия с агентами и корректировки задач Условия: — Удаленный формат работы (только для РФ) — Белая заработная плата с оформлением по ТК РФ — Плавное погружение в течение 3 месяцев под присмотром HR — Поддержка IT-отсрочки и консультации HR/юристов — Прозрачные процессы и открытая коммуникация — Работа на лучшем оборудовании без логирования времени, с фокусом на доверии и результате — ДМС (медицинское страхование за счет компании) — Индивидуальный план обучения, посещение конференций и митапов, поддержка в развитии карьеры — Возможность выступать на конференциях, митапах, публикация статей — Ежеквартальное обновление корпоративных скидок — Организация оффлайн и онлайн вечеринок, предоставление мерча, проведение конкурсов и челленджей

Задачи: – Разработка и развитие бэкенд-сервисов банковского приложения на .NET 8 – Проектирование и реализация API для мобильного приложения и веба – Активное использование AI-инструментов для генерации кода, тестов, документации и миграций – Работа с финансовой логикой: транзакции, лимиты, комиссии, идемпотентность операций – Интеграции с платёжными и банковскими системами – Участие в проектировании архитектуры и код-ревью Требования: – Опыт разработки: от 4 лет коммерческой разработки на C# / .NET, уверенный опыт с .NET Core / .NET 6–8+ – Стек: Core, Web API, Entity Framework Core, микросервисы, REST/gRPC, очереди (RabbitMQ / Kafka), уверенный SQL, Docker – AI-компетенции: ежедневная практика с Claude Code / Copilot, умение декомпозировать задачи для AI и критически ревьюить сгенерированный код — особенно в финансовой логике – Понимание безопасности: OAuth2/OIDC, JWT, шифрование данных, OWASP Top 10 – Опыт работы с транзакционной логикой и требованиями к надёжности – Английский B2+ Будет плюсом: – Коммерческий опыт в финтехе / банкинге / платежах – PCI DSS, ISO 8583 / ISO 20022, интеграции с процессингом и эквайрингом – MCP, автоматизация CI/CD и генерация тестов с помощью AI Условия: – Полностью удаленную работу с гибким графиком – Оплату в USD/USDT – Минимум бюрократии и гибкие процессы – Работу в сильной команде над интересным проектом – Возможность расти и развиваться вместе с командой