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Ваши задачи: Разработка и поддержка современных веб-приложений.
Основные задачи: Проектирование и развитие архитектуры frontend-приложений.
Задачи: внедрение и интеграция решений на базе искусственного интеллекта для бизнеса. Требования: опыт работы с Git, Docker, Linux, Python, Kubernetes, Nginx, CI/CD, Bash. Условия: Junior грейд.
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Настроить подборLocation: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for an experienced Senior Developer who combines strong React frontend skills with robust Python/Django backend expertise. This role offers the opportunity to work on cutting-edge solutions that are transforming the real estate technology sector. The ideal candidate will help build and optimize full-stack applications that enhance the apartment leasing experience for property managers and renters alike. Our client values proactive team members who are eager to dive deep into the multifamily real estate domain, understand the unique challenges of property management, and actively contribute to solving complex business problems. You’ll be expected to go beyond just coding to truly understand the client’s field, engage with their business challenges, and take ownership of delivering solutions that make a real impact. DataArt is seeking a talented Senior Full-Stack Developer with strong React and Python expertise to join our team for an exciting project with our client, a leading proptech company that is revolutionizing the apartment rental process through innovative technology solutions. Our client provides AI-powered leasing automation, renter communication tools, and operational intelligence for multifamily property management companies. They are at the forefront of digital transformation in real estate, helping property managers streamline operations, enhance renter experiences, and make data-driven decisions through cutting-edge technology that automates routine tasks and provides actionable insights. Design responsive and user friendly web applications using React.js and modern JavaScript Build and maintain backend services using Python and Django Create reusable React components and implement state management solutions Develop and optimize RESTful APIs and microservices architecture Ensure integration between frontend and backend systems Collaborate with UX UI designers to implement accessible interfaces Optimize application performance for fast load times and smooth user interactions Identify opportunities for product improvement and innovation Analyze the property management domain to understand user needs and pain points Ensure code quality, performance, and security practices across the full stack 5 plus years of professional experience in full-stack development Experience with React.js, including hooks, Context API, and modern React patterns Proficiency in JavaScript, TypeScript, HTML5, CSS3, and responsive design Experience with Python and Django for backend development Experience with state management libraries such as Redux, MobX, or Context API Understanding of RESTful service architecture and API design Experience with frontend build tools such as Webpack, Vite, or similar tools Familiarity with frontend testing frameworks such as Jest and React Testing Library Experience with Git and CI CD pipelines Ability to solve technical problems with attention to detail Ability to understand business context and domain specifics Communication skills for working in a distributed team environment English proficiency at B2 level or higher Experience with LLM API providers such as OpenAI and Anthropic Knowledge of LangSmith or similar AI ML observability tools Experience in the PropTech or Real Estate industry Knowledge of cloud platforms such as AWS, Azure, or GCP Experience with containerization using Docker and Kubernetes Familiarity with GraphQL Experience with Next.js or other React frameworks Knowledge of UI UX design principles and tools such as Figma and Sketch Experience working with stakeholders to gather requirements and translate them into technical solutions
Задачи: — Проведение функционального, регрессионного и smoke-тестирования. — Разработка и поддержка тестовой документации (тест-кейсы, чек-листы). — Тестирование API, REST и интеграций. — Проверка веб-интерфейсов и пользовательских сценариев. — Выявление, документирование и сопровождение дефектов в Jira / YouTrack. — Проверка данных с использованием SQL. — Участие в тестировании релизов и взаимодействие с разработчиками и аналитиками. — Участие в улучшении процессов тестирования и ревью тестовой документации. Требования: — Опыт работы в тестировании ПО от 2–3 лет (Middle+). — Опыт работы в FinTech: платёжные сервисы, эквайринг, банки, процессинг или e-commerce с приёмом платежей. — Знание видов и уровней тестирования, техник тест-дизайна. — Опыт написания тест-кейсов и чек-листов. — Практический опыт работы с Jira / YouTrack, Postman или Bruno. — Базовые знания SQL и Git. — Понимание клиент-серверной архитектуры, HTTP, REST API, Webhook. — Навыки работы с DevTools, понимание Cookies, JWT и сессий. — Опыт тестирования веб-приложений и интеграций. Будет преимуществом: — Опыт работы с AI-инструментами (Cursor, Claude). — Опыт тестирования платёжных систем и сложных интеграционных сценариев. Условия: — Удалённый формат работы. — Развивающийся финтех продукт. — Сильная команда. — Возможность профессионального и карьерного роста.
Задачи: — Проведение функционального, интеграционного, UI-/UX-тестирования на территории заказчика. — Анализ технической документации на предмет соответствия стандартам. — Разработка матрицы трассировки требований. — Составление тестовой документации: тест-кейсы, тест-планы, чек-листы. — Разработка и актуализация методик и стратегий тестирования. — Тестирование backend. — Локализация дефектов. — Помощь в подготовке и проведении приемо-сдаточных испытаний. Требования: — Опыт функционального тестирования веб-приложений от 1,5 лет. — Знание тест-дизайна: разработка чек-листов, тест-кейсов, баг-репортов и т.д. — Опыт тестирования REST API через Postman или Swagger, умение анализировать структуру JSON. — Базовые навыки работы с SQL: SELECT, JOIN, GROUP BY, проверка данных в базе. — Уверенное использование Git (clone, branch, commit), DevTools (Network, Console, Elements) и инструментов перехвата трафика. — Опыт работы с Linux и терминалом. — Понимание сетевых протоколов: HTTP/HTTPS (методы, коды ответа, заголовки, cookies). — Знание жизненного цикла ПО (SDLC) и баг-трекинговых систем (Jira, YouTrack, Redmine). — Опыт работы в Agile/Scrum. Условия: — Официальное оформление и стабильный прозрачный доход. — Офисный формат работы: 1 неделя в офисе компании на м. Марьина Роща, 1 неделя в офисе заказчика на м. Фрунзенская. — График работы: 2/2 (дневная или ночная смена). — Обучение: корпоративный университет, электронная библиотека, вебинары с внешними и внутренними экспертами, центр карьерного консультирования. — Сообщества: школа спикеров, дебат клуб, писатели Хабр, киберспорт. — Спорт: футбольный, волейбольный и баскетбольный клубы. — Здоровье: ДМС, включая стоматологию и страхование родственников, сервис «Просебя» (психологические и юридические консультации). — События для детей сотрудников: праздники и профориентационные игры, образовательные курсы. — Партнерские программы и скидки для сотрудников: в магазинах-партнерах, фитнес-клубах, на образовательных платформах, на досуговые мероприятия.
Разработка программного обеспечения по заданию и его обслуживание; Выполнение тасок на разработку и обслуживание программного обеспечения.
Нам нужен специалист, который умеет самостоятельно реализовывать сложные доработки и интеграции 1С, руководить командой программистов и обеспечивать качество разработки. Участвовать в разработке целевой архитектуры (модель C4) и проектных решений совместно с архитектором, оценивать трудоёмкость доработок.
Разработка ПО; Проведение code‑review;
Задачи: — Проверять работы студентов и решать, зачесть задание или нет. — Давать обратную связь простыми словами в письменном виде: отмечать неточности, указывать на ошибки и давать советы по улучшению. — При проверке опираться на гайды и чек-листы, учитывая must критерии, глубина и наполненность обратной связи зависят от профессионализма. Требования: — Middle-уровень (и выше) программирования 1С с опытом работы от 3-х лет. — Готовность посвящать проекту около 15 часов в неделю. — Желание делиться знаниями. — Умение работать с Git-репозиториями или готовность быстро освоить основы. — Регулярная работа с ИИ-агентами, наличие личной подписки на сервис с большими языковыми моделями или готовность её оформить. Условия: — Удаленное сотрудничество, возможность работать из любой точки мира. — Возможность освежить знания, реализовать потенциал и влиять на качество образования. — Развитие мягких навыков: умение давать обратную связь, объяснять сложные вещи простыми словами, формировать безопасную образовательную среду. — Бесплатное обучение в Школе ревьюеров и плавное погружение в сотрудничество. — Выдача сертификатов о социально‑полезной деятельности. — Возможность писать статьи и участвовать в конференциях, мероприятиях и подкастах Яндекс Практикума.
Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role: You will join a high-impact team transforming healthcare through technology. Our platform connects fragmented clinical systems to enable real-time care coordination across thousands of healthcare facilities, serving millions of users. You will design and build scalable platform services, leveraging modern AI-augmented engineering practices to accelerate delivery, improve reliability, and enhance clinical and operational outcomes What your day-to-day will look like: • Build robust platform services supporting clinical operations • Partner with product and clinical teams to understand and solve real workflow challenges • Drive architectural decisions for business platform services • Own the reliability and performance of critical healthcare solutions • Mentor team members on modern engineering practices What qualifications we’re looking for: Required Technical Experience •Strong track record building and shipping production software in modern languages (Java, Python, or similar) • Deep understanding of cloud-native architecture and distributed systems design patterns • Expertise in design, optimization, and scaling for relational (SQL) database systems, bonus points for NoSQL database systems • Experience designing and implementing RESTful APIs and microservices • Proficiency with test-driven development, automated testing, and maintaining high code quality • Hands-on experience with modern frontend frameworks, primarily React • Working knowledge of CI/CD pipelines and infrastructure-as-code practices • Experience with production observability, monitoring, and performance optimization tools Modern Engineering Practices • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude Code) as part of your workflow • Experience applying AI tools throughout the development lifecycle from requirements analysis, documentation to incident response • Strong code review skills demonstrated through giving and receiving constructive feedback • Experience with Git workflows and collaborative development practices • Ability to balance feature delivery with system reliability and technical excellence • Comfortable with on-call responsibilities and incident response What Would Make You Stand Out • Experience building and scaling SaaS platforms • Track record of mentoring engineers or leading technical initiatives • Background with Spring Boot and Java ecosystem • Experience with Azure cloud services and Kubernetes (AKS) • Experience in healthcare technology or regulated industries • Understanding of HIPAA compliance and handling sensitive data Our Stack • Front-End: React, Micro-Frontends, Material-UI • Backend: Java, Spring Boot • Data: PostgreSQL, MSSQL, Redis • CI/CD: GitHub Actions, Jenkins • Infrastructure: Azure, AKS, Terraform • AI Tooling: Claude Code, Copilo #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks: Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $130,100-162,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn. **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings. For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. About the role: You will join a high-impact team transforming healthcare through technology. Our platform connects fragmented clinical systems to enable real-time care coordination across thousands of healthcare facilities, serving millions of users. You will design and build scalable platform services, leveraging modern AI-augmented engineering practices to accelerate delivery, improve reliability, and enhance clinical and operational outcomes What your day-to-day will look like: • Build robust platform services supporting clinical operations • Partner with product and clinical teams to understand and solve real workflow challenges • Drive architectural decisions for business platform services • Own the reliability and performance of critical healthcare solutions • Mentor team members on modern engineering practices What qualifications we’re looking for: Required Technical Experience •Strong track record building and shipping production software in modern languages (Java, Python, or similar) • Deep understanding of cloud-native architecture and distributed systems design patterns • Expertise in design, optimization, and scaling for relational (SQL) database systems, bonus points for NoSQL database systems • Experience designing and implementing RESTful APIs and microservices • Proficiency with test-driven development, automated testing, and maintaining high code quality • Hands-on experience with modern frontend frameworks, primarily React • Working knowledge of CI/CD pipelines and infrastructure-as-code practices • Experience with production observability, monitoring, and performance optimization tools Modern Engineering Practices • Comfortable using AI-augmented development tools (e.g., GitHub Copilot, Claude Code) as part of your workflow • Experience applying AI tools throughout the development lifecycle from requirements analysis, documentation to incident response • Strong code review skills demonstrated through giving and receiving constructive feedback • Experience with Git workflows and collaborative development practices • Ability to balance feature delivery with system reliability and technical excellence • Comfortable with on-call responsibilities and incident response What Would Make You Stand Out • Experience building and scaling SaaS platforms • Track record of mentoring engineers or leading technical initiatives • Background with Spring Boot and Java ecosystem • Experience with Azure cloud services and Kubernetes (AKS) • Experience in healthcare technology or regulated industries • Understanding of HIPAA compliance and handling sensitive data Our Stack • Front-End: React, Micro-Frontends, Material-UI • Backend: Java, Spring Boot • Data: PostgreSQL, MSSQL, Redis • CI/CD: GitHub Actions, Jenkins • Infrastructure: Azure, AKS, Terraform • AI Tooling: Claude Code, Copilo #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks: Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more! It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment. When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Задачи: — Разработка мобильных приложений для платформы iOS; — Взаимодействие с аналитиками, дизайнерами и тестировщиками; — Выявление и устранение ошибок в текущих разработках; — Интеграция с сервисами компании; — Поддержка и развитие проектов, добавление нового функционала. Требования: — Опыт коммерческой iOS-разработки от 3 лет; — Уверенное владение Swift и SwiftUI; — Базовое понимание UIKit — для интеграции UIKit-оберток в SwiftUI при необходимости; — Знание паттернов проектирования, понимание и применение принципов SOLID; — Опыт проектирования и разработки архитектуры приложений; — Практический опыт с архитектурными паттернами: MVVM / Clean Architecture / VIPER или аналогичными; — Опыт создания гибких пользовательских интерфейсов и кастомных UI-компонентов; — Опыт работы с async / await и асинхронностью в iOS; — Опыт работы с клиент-серверной архитектурой (REST API); — Навык оценки сроков выполнения задач; — Умение работать в команде и с системами контроля версий (Git); — Опыт работы в Jira / YouTrack или других системах контроля задач. Условия: — Возможность профессионального роста и применения знаний на реальных задачах; — Шанс поработать на крупном и сложном проекте; — Отсутствие бюрократии, оперативное согласование рабочих вопросов; — Крупная команда высококвалифицированных специалистов, которые всегда готовы помочь; — Официальное оформление по ТК, офисное расположение в Минске, отпуск 28 календарных дней + дополнительно 4 оплачиваемых выходных дня. Данное рабочее место является планируемым к созданию (перспективным).
Проектирование и разработка frontend- и backend-архитектуры платформы. Обязательные требования:
Проведение полного цикла тестирования нового функционала системы RMS: «Журнал предварительной комплектации» и «Управление СМС-рассылками»; подготовка и выполнение тестовых сценариев;
Location: Redwood City, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU The Reliability Engineering team at Box ensures our platform delivers world-class performance, scalability, and reliability as we continue to serve millions of users worldwide. As our business grows, so does the complexity of operating distributed systems at scale. Our mission is to proactively identify and solve the hardest reliability and performance challenges across Box’s infrastructure, working closely with product and platform teams to build resilient, scalable, and highly performant services. As a Senior Software Engineer on the Reliability Engineering team, you’ll have a direct impact on the performance and scalability of our most critical services. You’ll partner with engineering teams across the company to analyze complex system behaviors under load, design scalable solutions, and build testing frameworks that validate service reliability before issues arise in production. This role provides a unique opportunity to work broadly across our technical stack and make meaningful contributions to Box’s long-term scalability and customer experience. WHAT YOU’LL DO Partner with product and platform engineering teams to assess service designs for scalability and performance risks, ensuring systems are built for long-term growth. Analyze production workloads, system metrics, and load test results to identify bottlenecks, resource inefficiencies, and architectural scaling limits. Design and build frameworks for load testing, capacity modeling, and performance validation that enable teams to proactively address scale concerns. Drive improvements in backend service efficiency, API response times, and resource utilization across Box’s globally distributed platform. Collaborate with SRE, infrastructure, and platform teams to optimize scaling strategies, auto-scaling policies, and resource allocation. Build automation and tooling that integrate performance validation into CI/CD pipelines, enabling early detection of regressions. Participate in root cause analysis of performance-related incidents, identify systemic issues, and drive cross-team remediation efforts. Contribute to the evolution of observability standards (SLIs, SLOs, latency/error budgets) that measure and guide service health. WHO YOU ARE 5+ years of experience in software engineering, performance engineering, or site reliability engineering, with a focus on backend systems and scalability. Proficient in one or more programming languages such as Go or Java, with an emphasis on building performant services. Strong understanding of distributed systems, concurrency, resource contention, and efficient system design. Hands-on experience analyzing and improving application and system performance across compute, storage, database, and networking layers. Familiarity with load testing and performance benchmarking tools (e.g., Locust, JMeter, Gatling, or custom frameworks). Experience working with cloud infrastructure (AWS, GCP) and container orchestration (Kubernetes). Proficient with observability tools and telemetry systems (e.g., Prometheus, Chronosphere, Grafana, Datadog, ELK). Excellent problem-solving and analytical skills, with a data-driven approach to diagnosing complex system behaviors. Strong collaboration and communication skills; comfortable partnering across engineering teams to drive reliability improvements. PREFERRED QUALIFICATIONS Experience with service mesh technologies (Istio, Envoy) and cloud-native networking performance optimization. Exposure to capacity planning, cost optimization, and long-term resource forecasting in cloud environments. Familiarity with incident response processes, post-incident reviews, and reliability improvement practices. Experience contributing to internal platforms, developer tooling, or performance automation frameworks. METHODOLOGY Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - Git EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $198,500 — $248,000 USD
Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .
Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .