Вакансии

-Проектировать целевую архитектуру системы (модули и компоненты).

Location: Москва Приглашаем корпоративного архитектора в команду транзакционного банкинга B2C. Основная часть работы будет связана с проектированием архитектурных решений в направлениях криптовалют и агентной коммерции. В этой роли важны умение переводить бизнес-задачи в архитектурные решения, видеть межсистемные связи и согласовывать решения с участниками проекта. Мы —команда профессионалов: помогаем новым коллегам освоиться, делимся знаниями и спокойно относимся к вопросам. Обсуждаем решения с уважением друг к другу, поддерживаем коллег и ценим человеческое общение. Нам важно, чтобы в команде было комфортно работать и развиваться. Обязанности * проектировать архитектурные решения для криптовалют и агентной коммерции — основных направлений работы * исследовать технологии и подходы в рамках бизнес-направления, оценивать возможности их применения в банковских продуктах * разрабатывать целевую архитектуру направления и дорожную карту перехода к ней * прорабатывать архитектуру новых решений и изменений существующих систем с учётом бизнес-требований, ограничений и зависимостей * проектировать межсистемные интеграции, API и событийное взаимодействие * определять требования к производительности, масштабируемости, отказоустойчивости, безопасности и согласованности данных * совместно с техническими командами оценивать варианты решений и обосновывать выбор технологий и архитектурных подходов * готовить архитектурные модели и решения, проводить архитектурные ревью * согласовывать решения с бизнесом, разработкой, эксплуатацией и информационной безопасностью; сопровождать их реализацию. Требования * опыт проектирования архитектурных решений или проработки системных решений в роли системного аналитика * понимание основных принципов работы криптовалют и их применения в финансовых сервисах * понимание современных подходов к взаимодействию ИИ-агентов и совершению финансовых операций, понимание платёжных технологий * понимание протоколов MCP, ACP, UCP и AP2 * понимание принципов работы больших языковых моделей (LLM). ### ### Другие профессиональные требования * опыт работы в IT не менее 5 лет * понимание банковских транзакционных процессов, карточного бизнеса и процессинговых систем * понимание принципов проектирования высоконагруженных и распределённых систем * понимание Agile-подходов и умение взаимодействовать с командами разработки * умение описывать архитектурные решения с помощью моделей и схем, знакомство с UML и BPMN * понимание архитектуры интеграций, API и событийного взаимодействия, принципов надёжной обработки операций и согласованности данных * понимание принципов выбора СУБД и способов хранения данных с учётом задач системы * умение объяснять архитектурные решения, сравнивать альтернативы и аргументировать компромиссы. ### ### Будет преимуществом * практический опыт разработки ИИ-агентов * практический опыт разработки программного обеспечения, в том числе на Java * знание технологического стека Platform V СберТеха * знакомство с Kafka, контейнерными платформами Kubernetes или OpenShift, API Gateway и Service Mesh * знакомство с ARIS, OpenAPI и DevOps-процессами * знакомство с PCI DSS, ISO 8583 и 3-D Secure. Условия * расширенный социальный пакет, включающий медицинскую страховку * современный офис в комплексе Сбера по адресу: Москва, Кутузовский проспект, 32, корпус 1. Светлые общественные пространства, живые растения и продуманные зоны для совместной работы и неформального общения * библиотеки и комнаты тишины, где можно сосредоточиться на сложной задаче, а также комнаты отдыха, чтобы сделать паузу и переключиться * спортзал и возможности для активного отдыха в свободное от работы время: теннис и игровые приставки * кафе, кофейни и рестораны на территории комплекса — для обеда, короткого перерыва или встречи с коллегами за чашкой кофе.

Location: Сочи Ищем Java-разработчика в команду разработки прикладных сервисов СберБизнес — самого востребованного интернет-банка для бизнеса в России. В рамках нашего проекта мы создаём платформу для подключения внешних AI-агентов и навыков к AI-ассистенту СберБизнес. Это новый продукт, который позволит предпринимателям решать бизнес-задачи (работа с документами, договорами, маркетплейсами, HR-аналитика и тп) через единый чат-интерфейс, не переключаясь между десятками сервисов.  Вас ждёт захватывающая работа в дружной команде профессионалов, ориентированных на применение лучших практик гибкой разработки (Agile). Проект стартует с нуля, и у вас будет возможность повлиять на архитектуру, клиентский путь и бизнес-логику продукта с первых дней. Обязанности * проектировать решения, в том числе разрабатывать детальную внутреннюю архитектуру сервиса, включая интеграционные сценарии * принимать участие в разработке крупнейшего в России интернет-банка для юридических лиц * работать в Agile-команде (ежедневные стендапы, 2х-недельные спринты, демонстрация, ретроспектива) * проводить и проходить Code Review **Технологии / фреймворки:** * Java 25 * Spring Framework, Spring Boot * PostgreSQL * Hibernate * Gradle **Инструменты:** Jenkins, Jira, Bitbucket, Confluence, Podman (Docker), Kubernetes (OpenShift) Требования * опыт от 5 лет разработки высоконагруженных и отказоустойчивых систем * Знание микросервисной архитектуры * уверенное знание Java 17+ * уверенные знания Spring Framework, Spring Boot,  * умение писать Unit-тесты, знание фреймворков JUnit, Mockito * опыт разработки REST-сервисов * опыт работы с реляционными БД PosgreSQL или Oracle (требования ACID); * опыт работы с Docker * умение работать в команде: дружелюбность и открытость к взаимодействию *  Активность, инициативность, ответственность **Желательно:** * опыт агентной разработки * базовые навыки работы в Unix-системах * понимание принципов DevOps и CI/CD * опыт работы с Jenkins * опыт работы с Kafka * опыт работы с Elasticsearch. * Опыт работы с MCP * Понимание принципов векторизации и кластеризации текстов Условия * современный офис в центре Сочи на Войкова, 2 — всего в нескольких минутах ходьбы от побережья Черного моря * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь наставника на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * льготная ипотека и кредитование от Сбера * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.

Ищем QA-инженера, который умеет разбираться в продукте, находить риски и выстраивать проверку изменений до и после релиза, используя AI как основной рабочий инструмент.

Workplace: hybrid Обязанности Взаимодействие с бизнесом Погружаться в бизнес-контекст, взаимодействовать с ключевыми стейкхолдерами и пользователями Генерировать образ результата совместно с Владельцами продуктов для нахождения оптимального способа его достижения Переводить нечёткие бизнес-запросы в архитектурные решения и реализуемые планы Инженерная работа Проектировать и разрабатывать клиент-серверные приложения на Python (FastAPI, Django) Строить автоматизации бизнес-процессов: интеграции между системами, ETL-пайплайны, боты, внутренние инструменты Планировать архитектуру решений совместно с внутренними экспертами, принимать обоснованные технические решения Писать автоматизированные тесты (Playwright, Pytest), обеспечивать качество и надёжность решений Выстраивать CI/CD-пайплайны, настраивать агентские системы для code review и автоматизированного контроля качества Деплоить и поддерживать свои решения в продакшене AI-augmented разработка Использовать AI-кодинг ассистенты (Claude Code, Cursor, Codex) как основные инструменты ежедневной работы Работать с MCP-серверами, CLI-агентами и другими инструментами AI-augmented workflow Оценивать и внедрять новые инструменты автоматизации разработки и тестирования Формировать инженерные практики работы с AI для всей команды Условия работы гибридный формат работы в Москве (приезжать в офис нужно по потребности, это может быть раз в неделю или раз в месяц, на встречи с руководителем и командой) официальное оформление с белой ЗП, оклад fix + полугодовой бонус (по результатам работы) возможность профессионального и карьерного роста (обратная связь регулярная, индивидуальные планы развития, 2 раза в год оценка персонала) яркую корпоративную жизнь с большим количеством мероприятий, конкурсов и возможностей для творческой реализации: X5 Tech Bar, регулярные внутренние митапы, демо-дни, открытые микрофоны, обмен опытом через внутренние комьюнити, день IT-специалиста, программы корпоративного волонтерства, корпоративное предпринимательство X5 Idea Challenge широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья, забота о благополучии сотрудников программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров) материальную помощь сотрудникам, попавшим в сложную жизненную ситуацию Профессиональные навыки Инженерный фундамент 5+ года опыта разработки на Python, знание современных фреймворков и технологий Опыт проектирования и разработки REST API и клиент-серверных приложений Работа с реляционными БД (PostgreSQL), брокерами сообщений и очередями (Redis, RabbitMQ, Kafka) Понимание принципов проектирования: когда монолит, когда сервисы, когда скрипт Опыт работы с Docker, понимание CI/CD Привычка писать юнит-тесты, автоматизация процесса тестирования через агентов AI-инструментарий Практический опыт работы с AI-кодинг ассистентами: Claude Code, Cursor, Codex — не просто «пробовал», а ежедневно используете в работе Понимание, как эффективно формулировать задачи для AI-агентов, валидировать результат, итерировать Опыт или готовность работать с MCP-серверами (Playwright MCP, DB MCP) Понимание, что такое промпт-инжиниринг в контексте разработки, а не генерации текстов LLM-кой (Если гоняли GitHub Spec-Kit, GSD, Ralph Loop или Superpowers - будет плюсом) Опыт автоматизированного тестирования с Playwright или аналогами Экспериментировать с MCP-серверами, CLI-инструментами, skills.md и другими подходами к AI-augmented разработке Архитектурное мышление Способность принимать технические решения, учитывая бизнес-контекст, сроки и ограничения Опыт проектирования решений, которые пойдут в продакшен, а не останутся прототипами Способность трансформировать legacy-архитектуру в сторону более современных решений, используя AI инструменты

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. This is a company-level technical leadership role spanning Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. You will set the multi-year technical direction for the platform, align teams around clear architectural boundaries and standards, and lead major cross-functional initiatives from ambiguous opportunity through durable adoption and measurable impact. WHAT YOU’LL DO - Set and communicate a multi-year technical vision for the Builder Platform, translating company strategy into an executable portfolio across Agents & Workflows, AI Infrastructure, Developer Infrastructure, and Productivity Engineering. - Lead the architecture and evolution of our Agent Platform, the shared foundation teams across Temporal use to deploy, run, evaluate, govern, and improve their agents and agentic workflows. - Establish and operate our AI Infrastructure, the LLM and MCP gateways every agent and workflow at Temporal runs through, with guardrails, fallback, usage and cost controls, model rollout policies, and clear SLOs. - Implement AI Governance in partnership with Security, Legal, and IT, turning policy into practical controls, approved patterns, and auditability without creating unnecessary barriers. - Architect the agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, and decide which patterns graduate into shared platform capabilities and which stay with the teams that own them. - Own the technical strategy for our Developer Infrastructure (Source Control and CI) and developer tools, including repository standards, access and ownership models, reusable workflows, and CI reliability and cost. - Partner with leaders across Engineering, Product, Sales, and G&A to identify where AI can accelerate work and improve outcomes, and prioritize those opportunities into a company-wide portfolio. - Standardize how Temporal adopts agents and agentic tooling (best practices, paved roads, and enablement), driving adoption across the organization through influence rather than mandate. - Define clear architectural and organizational boundaries across the platform (what is centralized, standardized as a paved road, federated to teams, purchased, or deliberately not built) and make the hard tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Measure the platform on outcomes (adoption, velocity, reliability, and cost), with feedback loops that quantify the productivity it unlocks and shape the portfolio. - Own our customer-zero strategy: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, drive the feedback loop with product leadership, lead our open-source reference architecture for customer platform teams, and represent the strategy with customers, partners, and the broader technical community. - Develop senior technical leaders, create alignment among engineering leads and managers, and make teams more effective without relying on direct authority. - Participate in on-call rotation while leading systemic improvements that reduce operational burden, address risks before they become company-wide problems, and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of setting technical direction and delivering major platform initiatives across multiple engineering teams. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining company-wide best practices and driving adoption across the organization. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with deep expertise in at least one relevant domain (developer infrastructure, distributed systems, AI platforms, or platform engineering) and proficiency across several others. - Experience building and operating internal platforms, developer infrastructure, or agent platforms adopted across a company. - Strong judgment in platform-boundary decisions (what to centralize, federate, standardize, buy, or deliberately avoid building) and in tradeoffs among speed, flexibility, reliability, security, cost, and long-term maintainability. - Demonstrated ability to influence engineering managers, senior individual contributors, Security, Legal, IT, Product, and business stakeholders, and to turn ambiguous company objectives into architecture, standards, roadmaps, and coordinated execution. - Experience defining outcome-oriented metrics for developer productivity or AI systems (adoption, reliability, quality, cost, and cycle time) and using them to steer a portfolio. - Clear written communication, including documentation and technical strategy that enable self-service and align teams across the company. - Experience establishing governance through paved roads rather than documentation or approval processes alone. - Evidence of making other technical leaders and teams more effective through mentorship, architectural clarity, and consensus building. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. - Experience defining or implementing AI governance, model-access infrastructure, or agent evaluation systems. - Experience managing GitHub configuration, policy, and workflows at organizational scale - Familiarity with developer productivity measurement frameworks such as SPACE and DORA metrics. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Staff Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and open-source frameworks our customers can adopt. WHAT YOU’LL DO - Own the strategy, architecture, and operation of our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows, setting direction and ensuring reliability and scalability. - Architect the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Design, build, and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, scaling them across teams and use cases. - Lead the development and evolution of our Developer Infrastructure (Source Control and CI) and the developer tools that improve builder flow and reduce friction across the company. - Partner closely with stakeholders across Engineering, Product, Sales, and G&A to identify high-impact opportunities where AI can accelerate work and improve outcomes. - Define best practices for agents and agentic tooling, build the enablement materials and paved roads behind them, and proactively drive adoption across the organization. - Establish and drive measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks, inform prioritization, and shape the roadmap. - Lead our work as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, own the feedback loop with product leadership, and drive our contribution to an open-source reference architecture that customer platform teams can adopt. - Mentor and support engineers on the team, raising the bar on technical design, execution, and use of agents and agentic tooling. - Participate in on-call rotation, while identifying and driving improvements that reduce operational burden and improve the internal user experience. WHAT YOU’LL BRING - Strong software engineering fundamentals and a track record of leading the design, delivery, and operation of production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining best practices and driving adoption across teams. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java, with the ability to make pragmatic, high-leverage technical decisions. - Experience architecting and scaling workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar) used across teams or the organization. - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability, security, or long-term maintainability. - Comfort leading cross-functional collaboration, including partnering with non-traditional developers and translating ambiguous needs into scalable, well-adopted solutions. - Ability to use data and qualitative feedback together to define success metrics, prioritize effectively, and measure impact. - Clear written communication, including documentation that enables self-service and scales knowledge across teams. NICE TO HAVES - Experience building internal agents and operating an agent platform. - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Join our Builder Platform Team as a Senior Software Engineer. Our mission is to empower a company of builders by delivering a frictionless, standardized, and governed platform for agents, workflows, and core engineering tools. We operate Temporal as customer zero: we partner directly with teams across the company to run their real work on the platform, measure the productivity it unlocks, and feed what we learn back into Temporal’s products and an open-source frameworks our customers can adopt. WHAT YOU’LL DO - Develop and operate our Agent Platform for deploying, running, evaluating, governing, and improving agents and agentic workflows. - Establish and operate the AI Infrastructure that agents depend on: LLM and MCP gateways with guardrails, fallback, usage and cost controls, and model rollout policies. - Build and operate agents and workflows that carry engineering work from issue to production and business work from trigger to outcome, with humans governing the boundaries. - Own our Developer Infrastructure (Source Control and CI) and build the developer tools that improve builder flow and reduce friction across the company. - Partner with teams across Engineering, Product, Sales, and G&A to understand where AI could accelerate their work or improve the quality of outcomes. - Drive adoption of agents and agentic tooling across the company, and own the best practices and enablement materials that help builders succeed using the paved roads. - Build measurement and feedback loops (usage, reliability, and cost) to quantify the productivity the platform unlocks and guide the roadmap. - Treat Temporal as customer zero: turn what we learn into validated requirements for Temporal Cloud, the SDKs, and our Agent Harness, and contribute to an open-source reference architecture that customer platform teams can adopt. - Participate in on-call to support internal users. WHAT YOU’LL BRING - Strong software engineering fundamentals and experience shipping and operating production-quality internal platforms or developer tooling. - Experience leveraging modern agentic coding tools such as Codex and Claude Code. - Proficiency in one or more programming languages commonly used at Temporal, such as Go, TypeScript/JavaScript, Python, or Java. - Experience building workflow automation or internal tools (CLI tools, services, GitHub automation, cloud automation, or similar). - Strong judgment about when to standardize versus when to enable flexibility, and how to remove friction without compromising reliability. - Comfort working cross-functionally, including partnering with non-traditional developers and translating needs into usable solutions. - Ability to use data and qualitative feedback together to prioritize and measure impact. - Clear written communication, including documentation that enables self-service. NICE TO HAVES - Experience building internal agents and operating an agent platform - Experience building and operating Temporal applications. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We're seeking a Principal Product Manager to help advance our Agentic Automation vision by giving enterprises the means to see, trust, and govern every agent they run, whether it runs on UiPath or somewhere else. Your scope spans three connected areas. Traces and observability capture the end-to-end record of what an agent did, what it cost, which model and configuration it used, and why. Those traces are the single source of truth for what happens across the UiPath platform, covering agents and every service that joins our trace infrastructure. Agent identity establishes who owns an agent, who it acts for, and what it's allowed to do. Governance ties the two together, and you'll be the Agents team's bridge to UiPath's broader platform governance. Across all three, you'll help define patterns the industry is still inventing, including OpenTelemetry for agents, cross-platform trace exchange, delegated permissions for agents, and policy and audit for non-deterministic systems. This is a high-agency, AI-native role. You won't be running status meetings. You'll be deep in the product: reading traces, prototyping with coding agents, talking with customers and FDEs, and turning what you learn into crisp direction for the engineers who build it. Influence, not headcount, will be your default leverage. Your north star is simple. Every agent in production should be visible, attributable, and governable. A builder should be able to debug a failed run in minutes. A finance owner should be able to trust the cost numbers. A security team should be able to answer "what did this agent do, and on whose behalf?" without opening a ticket What you'll do at UiPath - Collaborate and help drive the multi-year vision for agentic observability and governance, across the UiPath platform and the outside agents it works with. - Own traces end to end. That covers the schema, completeness, and quality of every trace, and the accuracy of its cost, token usage, and LLM configuration data. - Build observability integrations with other platforms, including OpenTelemetry export and import, Microsoft Agent 365, and other agent and observability ecosystems. UiPath traces should flow out, and outside agent traces should flow in. - Bring UiPath services and teams onto our trace infrastructure, so traces cover the whole platform and not only agents. Run intake, prioritization, and coordination for trace requests across the company. - Own agent identity, so that every agent and every run maps to an owner, the user it acts for, and the permissions it used. - Serve as the Agents team's counterpart to platform governance, making sure traces and identity feed policy, audit, alerting, and controls like a kill switch. - Partner with our largest and most demanding customers, including those in regulated industries, on production deployments. Go deep enough to know which span was missing and why it mattered. - Use the platform as a builder. Stand up agents, read their traces, wire exports into real observability tools, and use coding agents to prototype. If a point needs a working example, build one. - Translate the fast-moving landscape of OpenTelemetry GenAI conventions, agent observability vendors, agent identity standards, and AI governance regulation into a coherent UiPath point of view and a shipping product. - Define the metrics that matter, such as trace coverage and completeness, cost accuracy, time to diagnose a failed run, and the share of agents with a clear owner and identity. Then prioritize ruthlessly against them. - Represent UiPath's agent observability and governance story to customers, partners, and industry forums. WHAT YOU'LL BRING TO THE TEAM - 6+ years in technical product management or engineering, with an emphasis on observability, developer platforms, identity, security, or applied agentic AI. You have a proven record of shipping infrastructure that builders and platform teams rely on. - Hands-on experience building observability, telemetry, tracing, or governance products. You've designed systems that capture, correlate, and act on signals across many services. - Deep fluency in agentic AI: models, tool calling, MCP / A2A, coding agents, agent design patterns, evals, and observability. You can read an agent trace, see right away what went wrong, and how the trace could be improved. - Working knowledge of identity and access concepts such as service identities, delegated permissions, OAuth, and audit, and a view on how they should apply to agents. - A builder's posture and a bias for action. You write code, or prompt agents to write it, so you can test ideas and ship prototypes. You treat coding agents as leverage rather than writing specs and waiting. - A first-principles mindset and comfort with ambiguity. You can reach a defensible direction in days, not quarters. - Sharp communication: a position doc that inspires bold decisions, a technical explanation a skeptical architect trusts, a demo that closes the room. - Comfort working in regulated, on-prem, and hybrid environments. IDEAL BACKGROUND - Built observability, telemetry, identity, security, or agent platform products at a frontier lab, hyperscaler, observability vendor, or automation vendor, or as an early PM at a startup in the space. - Has taken a product from 0 to 1 and felt the weight of it. Startup or founding PM experience is strongly preferred. - Has a point of view, with receipts, on how enterprises will observe and govern agents over the next 24 months. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Bellevue Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION We're seeking a Principal Product Manager to help advance our Agentic Automation vision by making UiPath the best place to build agents without writing code. You'll shape how builders create two kinds of agents. Autonomous agents carry out tasks inside business processes. Conversational agents work directly with people. Your scope covers Agent Builder end to end and the agent experiences inside our Maestro canvases. It also covers AI assisted features built into these experiences: Autopilot, our platform-native coding agent, and Agent Reviewer, an agentic validator that checks an agent's quality and suggests improvements before it ships. You'll bring all of this together by turning shared platform capabilities like tools, context, memory, guardrails, and evals into a setup experience that feels effortless. This is a high-agency, AI-native role. You won't be running status meetings. You'll be deep in the product: building agents, prototyping with coding agents, talking with customers and FDEs, and turning what you learn into crisp direction for the engineers who build it. Influence, not headcount, will be your default leverage. Your north star is simple. Builders should go from idea to production-ready agent faster on UiPath than anywhere else. Their agents should be capable enough for real business processes and dependable enough that enterprises trust them with non-deterministic work. #LI-MH1 WHAT YOU'LL DO AT UIPATH - Set the multi-year vision for low-code agent building on UiPath, across autonomous and conversational agents, in Agent Builder and across our Maestro canvases. - Own Agent Builder end to end. That covers how builders define an agent's goal, instructions, tools, context, and outputs, and how they test, debug, and publish it. - Shape Autopilot's agent-building experience: what it can build from a description, how it reasons about a process, and how it hands its work back to the builder for review. - Lead Agent Reviewer, which tells builders whether an agent is ready for production and what to fix first. Partner with the governance, evals, and ML teams on how agents are scored. - Design how builders set up shared capabilities (tools, context, memory, guardrails, evals) inside the builder, working alongside the teams that own each engine. - Define how low-code agents fit into complex business processes alongside deterministic workflows, with clear contracts for when to use each. - Partner with our largest and most demanding customers on production deployments. Go deep enough to know which step failed and what would fix it. - Use the platform as a builder. Stand up agents, wire them into real processes, and use coding agents aggressively to prototype and ship reference implementations. If a point needs a working example, build one. - Translate the fast-moving landscape of agent builders, conversational AI, and AI-assisted development into a coherent UiPath point of view and a shipping product. - Define the metrics that matter, such as time from idea to published agent, the share of agents that pass review on the first attempt, task success in production, and builder retention. Then prioritize ruthlessly against them. - Represent UiPath's low-code agent story to customers, partners, and industry forums. WHAT YOU'LL BRING TO THE TEAM - 6+ years in technical product management or engineering, with an emphasis on low-code or no-code platforms, builder tools, conversational AI, or applied agentic AI. You have a proven record of shipping products that builders love and rely on. - Hands-on experience building low-code platforms, agent builders, or conversational AI products. You've made powerful systems simple without hiding what matters. - Deep fluency in agentic AI: models, tool calling, MCP and A2A, coding agents, agent design patterns, memory, guardrails, evals, and observability. You can read an agent trace and see right away what went wrong. - A clear view of how deterministic automation and non-deterministic agents should compose, and where each belongs in a real business process. - A builder's posture and a bias for action. You use coding agents to test ideas and ship prototypes rather than writing specs and waiting. - A first-principles mindset and comfort with ambiguity. You can reach a defensible direction in days, not quarters. - Sharp communication: a position doc that inspires bold decisions, a technical explanation a skeptical architect trusts, a demo that closes the room. - Comfort working in regulated, on-prem, and hybrid environments. IDEAL BACKGROUND - Built low-code, agent-building, conversational AI, or automation products at a frontier lab, hyperscaler, or automation vendor, or as an early PM at a startup in the space. - Has taken a product from 0 to 1 and felt the weight of it. Startup or founding PM experience is strongly preferred. - Has a point of view, with receipts, on how non-developers will build agents over the next 24 months. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Bengaluru, India We are looking for a Senior Performance Engineer with solid experience across performance testing and strong JMeter scripting skills. You will define performance requirements with product owners and developers, validate environment readiness, run load, stress, spike, and soak tests, find root causes through full-stack observability, and give engineering teams and leadership evidence for release decisions. You will also own the performance framework and its CI/CD pipelines, build dashboards in CloudWatch and Grafana, run chaos and fault-injection tests on AWS and Azure, and test front-end performance alongside server-side performance. This position is intended for Hyderabad-based candidates who are available to work from the office. The client operates a scaled Quality Engineering function across a broad technology landscape running primarily on AWS, with Azure as the secondary cloud. Most applications run on containers. Performance engineering covers load, stress, spike, and soak testing, full-stack observability, root cause analysis, and chaos and resiliency testing for distributed systems. Performance engineers own performance testing delivery across multiple applications, from requirements and environment readiness through execution, root cause analysis, and release-readiness reporting. Own performance testing delivery across multiple applications, from requirements through execution, analysis, and reporting. Define performance requirements with product owners and developers, and validate environment readiness before each test cycle. Build and maintain JMeter scripts, workload models, and test data in GitHub. Own the performance test framework and its CI/CD pipelines on GitHub Actions or an equivalent tool, with defined thresholds. Run load, stress, spike, and soak tests, including autoscaling, caching, load balancing, and failover on containerized workloads. Test front-end performance alongside server-side performance. Build dashboards in CloudWatch and Grafana covering RUM, APM, infrastructure, logs, and traces, using Prometheus or OpenTelemetry data. Correlate New Relic and Google Analytics data with test runs, and validate golden signals, SLIs, and SLOs. Use observability data to pinpoint bottlenecks across application, API, database, network, and container layers. Recommend tuning and scaling changes and validate them with repeat tests. Run chaos and fault-injection tests on AWS and Azure using native tooling. Contribute reusable scripts, dashboards, and runbooks that explain each application's resiliency setup. Track performance defects to closure in Jira, coordinating with developers and product teams on priority and impact. Deliver test summary reports in Confluence with release-readiness evidence for engineering teams and leadership. Use AWS (primary) and Azure for deployment, secrets, database services, and performance test infrastructure. Senior-level performance engineering experience across multiple applications. Strong JMeter scripting and workload modelling experience, with scripts and test data maintained in GitHub. Hands-on experience with load, stress, spike, and soak testing. Experience with CI/CD integration of performance tests using GitHub Actions or equivalent tools. Experience validating autoscaling, caching, load balancing, and failover on containerized workloads. Experience with an APM or observability platform such as CloudWatch, Grafana, New Relic, or similar. Experience validating golden signals, SLIs, and SLOs. Strong root cause analysis and tuning skills across application, API, database, network, and container layers. Experience with front-end performance testing alongside server-side testing. Experience with chaos and fault-injection testing. Working knowledge of AWS and Azure. Working knowledge of Docker and Kubernetes. Working knowledge of distributed systems and resiliency patterns. Experience with defect tracking and reporting in Jira and Confluence. Ability to present findings to engineering and business stakeholders. Experience working in Agile teams. Experience working in DevOps environments. Ability to communicate clearly with developers, product, and delivery teams. Hands-on use of AI coding assistants (GitHub Copilot, Claude Code, Cursor, Codex, or equivalent) to write and generate load test scripts. Familiarity with GenAI, LLMs, and agentic workflows for maintaining performance scripts. Familiarity with RAG and MCP concepts for QE tooling and for generating test data for load scenarios. Experience with service virtualization using WireMock or an equivalent tool, so performance suites can run when a dependency is unavailable. Experience with Tableau or an equivalent reporting tool. Experience with Azure Monitor.

Location: Prague, Czechia D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! We are looking for an experienced full-stack software and AI engineer to build internal cybersecurity platforms and developer tools. The role combines AI-assisted development, agent harness engineering, application security, Python development, MCP server design, and AWS cloud architecture. You will use coding agents to move rapidly from requirements to working software while remaining accountable for architecture, security, quality, and production outcomes. Fast-paced delivery is expected without compromising reliability or engineering quality. Tasks and Responsibilities Deliver secure, reliable software at a consistently fast pace using Claude Code. Develop Python services, web applications, integrations, and developer tools. Design MCP servers and agent workflows. Build and tune custom AI harnesses for security scanning, including hardcoded secrets, SAST, and SCA. Review AI-generated code and validate agent outputs. Design and operate secure AWS architecture and deployment workflows. Requirements Strong production experience with AI coding agents and harness engineering. Experience designing MCP servers, tools, and agent workflows. A security engineering or application security background is strongly preferred. Professional Python development and automated testing experience. Strong cloud engineering and architecture experience, predominantly on AWS. Strong technical judgment, ownership, and communication skills. Experience building developer-facing CLI tools is an advantage. Fluent English (oral and written) Candidates must declare Criminal record extract not older than three months Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: San Francisco Asana is hiring a Head of IT Systems Engineering to lead the team that powers how every Asana employee works. Reporting to the Head of IT, this San Francisco-based leader owns the strategy, architecture, and operations behind our SaaS productivity applications, corporate endpoints, identity, and user lifecycle, setting the standards and roadmap that keep every employee secure and productive. You will also influence the way Asana evaluates, adopts, and governs the tools and platforms our employees rely on. You will be responsible for the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, who deliver this work. This role has one manager level report. You ask good questions, are confident in not knowing everything, and would rather build with others than go it alone. You are crisp and detail oriented, but comfortable working outside the boundaries when the situation calls for it. You bring a proven record of success, a passion for technology, and, like us, you value hard work and fun in equal measure. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with Asana’s business priorities and Asana’s broader AI strategy Accelerate an Agentified Asana, helping teams across Asana embrace our tools and reduce the friction of manual work. Partner with leaders across Asana to build and maintain an efficient and effective portfolio of SaaS tools to enable all Asanas to do their best work. Lead, develop, and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development Own the strategy and operation of corporate endpoint management, SaaS application management, identity, and the full user lifecycle Drive IT’s AI strategy, from evaluating and governing platforms such as Claude, Gemini, and OpenAI to building AI agents and automation for onboarding, access requests, support, and compliance workflows Partner with Security, Legal, and Privacy to set AI usage policies, data access controls, and vendor risk standards, including identity-based access and data loss prevention for AI tools and integrations Set client platform standards and drive excellence in system performance, patching, and configuration compliance Partner with IT Support, IT Infrastructure, and Security leadership to resolve issues, reduce risk, and improve the employee experience Represent Systems Engineering to senior stakeholders, communicating priorities, tradeoffs, and results clearly About you 10+ years of IT experience, including 5+ years directly leading teams of systems engineers and software engineers in a fast-paced, cloud-first environment Proven ownership of purchasing, inventory management, and budgeting at scale Strong, hands-on knowledge of current IAM practices and cloud-based identity, SSO, SAML, and SCIM Experience with hosted cloud applications, including Okta, Google Workspace, Asana, Figma, and Slack Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review Track record of setting strategy and roadmaps, then delegating effectively while staying close enough to the details to coach and unblockExperience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki Working knowledge of scripting and API integration (REST, OAuth, Python, PowerShell, Bash, or equivalent) Hands-on experience with enterprise AI platforms such as Claude, and OpenAI, including deployment, administration, and integration through APIs, connectors, and MCP servers Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making How you work A strong mix of problem solving and a positive, service-oriented attitude Excellent communication and documentation skills, with the ability to influence senior stakeholders and cross-functional partners Curiosity and a bias toward experimenting with AI in your own work, and the ability to lead a team through rapid change At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $252,000 - $296,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-SA About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Developers find tools by searching, by asking an LLM, and, more and more, by prompting a coding agent to do the work. We’re hiring a technical Sr. Growth Marketing Manager to make sure that across all three, Chainguard gets discovered, recommended, and used. This is a builder role measured on signups and pipeline, not rankings or mentions. It’s also highly cross-functional. You’ll work daily with Product, Product Marketing, Growth, Web, and Paid Media, and you’ll drive the work forward, not wait on it. What you’ll do: Own search. Run Chainguard’s SEO program end to end: keyword strategy, content, programmatic pages, and technical optimization. Partner with Web and PMM to turn high-intent traffic into signups, demos, and pipeline. Agent as researcher. Get ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews to surface and recommend Chainguard. Your levers are content, structured data, and the third-party sources models learn from. Track how often we’re cited and recommended, and grow it. Agent as user. Make Chainguard the default choice when Claude Code, Cursor, or Codex picks tools for a developer. Map the agent adoption journey (discover, auth, pull, build, verify) and remove friction at every step. Partner with Product to build and maintain our MCP server, Agent Skills, plugins, CLAUDE.md / AGENTS.md snippets, llms.txt, and agent-readable quickstarts, and keep them listed where agents look. Measure what works. Run evals of real developer prompts across models and coding agents to learn which assets actually get Chainguard recommended and used. Build attribution that ties organic, AI-referred, and agent-originated signups to pipeline. What you’ll bring: 4+ years in growth, developer marketing, or technical product, with measurable funnel ownership for technical audiences. Hands-on SEO and AEO experience, including technical SEO, keyword strategy, content, and measurement. Terminal fluency and advanced SQL: you can build a working MCP server or agent skill, and you answer your own questions from the data. A daily coding-agent habit, with opinions on how agents choose tools and where they fail. A track record of driving work through cross-functional partners without direct authority, in a fast-paced, high-growth environment. Nice to have: Experience in cybersecurity or the cloud-native ecosystem (containers, Kubernetes, software supply chain security). Base Salary Range $140,000 — $167,500 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Нужен founding engineer №5, строить Blotato — платформу с кучей AI фич для автоматизации соцсетей.

-Проводить аудит SDLC и замерять эффективность: описывать текущий поток создания ценности (от требований до эксплуатации), собирать исторические метрики (baseline) из Трекера, Git и CI/CD, выявлять узкие места и формировать целевую модель AI SDLC.

• Формирование, согласование и актуализация требований информационной безопасности к системам и проектам с использованием AI и LLM. • Анализ архитектуры, сценариев использования и потоков данных AI-систем, включая RAG, AI-агентов, MCP-интеграции и внешних LLM-провайдеров.

-Разработка моделей данных и отчетных решений в Power BI и Apache Superset с учетом бизнес-задач.