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Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work on internal applications and infrastructure that deliver data from core services and APIs to a multitude of users across Trading, Risk, Compliance, Regulatory Reporting, Operations and Support. The role focuses primarily on C# development, building scalable systems that provide accurate and timely data for trading and operational workflows, alongside contributing to user interfaces developed using React and TypeScript. Your future role within QRT Design, develop and maintain C# applications and infrastructure supporting real time data delivery across the business Build scalable services and data flows for trade entry, positions, order monitoring, execution, risk and PnL workflows Optimise application architecture, memory management and resource utilisation to improve scalability and reliability Investigate and resolve production issues involving data quality, latency, throughput and system performance Take ownership of technical decisions and continuously improve existing systems in response to evolving business needs Develop and enhance user interfaces using React and TypeScript in collaboration with other engineers Collaborate with Trading, Risk and operational stakeholders to understand requirements and deliver practical technical solutions Your Present Skillset Minimum three years of professional software engineering experience, with strong C# and .NET development skills Experience designing, developing and supporting real time applications and data intensive production systems Strong understanding of software engineering fundamentals, including data structures, memory allocation, garbage collection and concurrency Experience investigating performance bottlenecks and implementing improvements to application reliability and efficiency Ability to work autonomously, make informed architectural decisions and take ownership of complex technical problems Experience with React, TypeScript, JavaScript, WPF, WinForms or similar user interface technologies is beneficial Strong communication and collaboration skills, with the ability to work effectively with technical and business stakeholders Familiarity with AWS, C++, real time messaging technologies, WebSockets or SignalR is advantageous Exposure to financial markets, trading systems or risk management applications is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Warszawa, Poland; Madrid, Spain; Belgrade, Serbia; Bucharest, Romania; Vilnius, Lithuania; Rīga, Latvia; Almaty, Kazakhstan; Tallinn, Estonia; Tbilisi, Georgia; Yerevan, Armenia Workplace: fully 🧠 Tech Level: Senior 🗣 Language Proficiency: Requires fluent Russian, as part of the team communication is conducted in Russian 🧾 Employment type: Full time 🌍 Candidate Location: Poland, other EU countries, Armenia, Georgia, Kazakhstan 🕐 Working Time Zone: CET 🚀 Start: asap 🧭 Planned Work Duration: Preliminary 3 months with potential for extension 👥 Customer Description: The customer is a global mobility and urban services platform offering ride-hailing, intercity travel, delivery, and task assistance. 🧩 Project Description: Data-collection platform spanning a worker mobile application, back office, and backend services. ⚙️ Project Phase: Ongoing 👨‍💻Project Team: frontend, 2 backend, QA, product manager 💡 Hard Skills / Must Have: • Functional, integration, API, and end-to-end testing across onboarding, task processing, data capture, review, earnings, and payouts • Testing TTL, expiry, reassignment, quotas, targeting, financial flows, privacy, consent, retention, and erasure • Experience testing financial flows, such as accruals, balances, batch payouts, and reconciliation with third-party payout providers; understanding of data privacy requirements, including consent management, data retention, and erasure. • Experience testing integrations with internal and third-party services, such as authentication, CRM and push notifications, payout partners, LLM providers, and cloud storage (S3). • Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency. • REST/gRPC API testing and automation with Postman • Automated testing with Playwright, Cypress, Appium, or similar frameworks • Troubleshooting using logs, metrics, traces, databases, message queues, SQL/MySQL, Kafka, Grafana, Kibana, and CloudWatch • Ability to validate consistency across the mobile app (Kotlin), WebView, back office, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. • CI/CD, Docker, AWS, distributed-service testing, test strategy, release validation, and production issue analysis ✨ Hard Skills / Nice to Have: • Experience testing media capture and upload on mobile devices (photo, voice, video, text), including device fragmentation, permissions, poor or unstable networks, resumable uploads, and on-device validation. • Experience testing ML/LLM-powered features and validating AI-generated outputs. 📌 Responsibilities and Tasks: • Own test strategy, test planning, and release sign-off for the platform • Test mobile media capture and upload under real-world device and network conditions • Verify task lifecycle, quotas, submissions, review workflows, segmentation, and isolation • Validate financial, compliance, consent, erasure, and audit flows • Build and maintain end-to-end and API automation in CI, including load testing 🧪 Technology Stack: Kotlin, Playwright/Cypress/Appium, Postman, REST/gRPC APIs, SQL (MySQL), Kafka, Grafana, Kibana, AWS (S3, CloudWatch), Docker, CI/CD 📞 Interview stages: • English check (15 minutes) • Internal technical interview (1-1,5 hour) • Client interview (1 hour) • Client interview – cultural fit (45 minutes) 💼 What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com

Location: Germany (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. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner —not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in the Germany 5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In Germany , the base compensation range for this role is 109,700 EUR - 131,600 EUR. 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 .

Задачи: — Писать качественный, поддерживаемый код, разрабатывать техническую документацию и поддерживать инженерные стандарты. — Проектировать и разрабатывать микросервисы в облачной распределённой архитектуре. — Анализировать, отлаживать и решать производственные проблемы. — Активно участвовать в технических обсуждениях, включая написание и рецензирование RFC для новых решений. — Наставлять коллег, участвовать в код-ревью и принимать технические решения. — Вести функции от начального проектирования и создания RFC до реализации и поддержки. — Работать по модели "Owner/Helper", быть ведущим по ключевым этапам и поддерживать коллег. Требования: — Опыт профессиональной разработки ПО не менее 6 лет, глубокое понимание объектно-ориентированного программирования, предпочтительно Java. — Опыт проектирования событийно-ориентированных, надёжных и масштабируемых решений. — Практический опыт работы с публичными облачными платформами AWS, GCP или Azure. — Владение SQL (Oracle) и NoSQL (DynamoDB), знание принципов проектирования баз данных. — Высшее образование в области компьютерных наук, количественной области или эквивалентный практический опыт. Преимущества: — Опыт full-stack разработки с TypeScript и React. — Навыки построения автоматизированных тестовых фреймворков и CI/CD пайплайнов. — Опыт работы с Kafka и Flink. — Знакомство с интеграциями AI и машинного обучения. — Способность влиять на направление команды и архитектурные решения. Условия: — Полная занятость, удалённая работа из США. — Зарплата от 170,000 до 210,000 рублей в месяц в зависимости от региона (Metro 2 и Metro 3). — Переменная комиссия и бонусы компании. — Конкурентная зарплата, бонусный и акционерный планы. — Медицинское страхование, пенсионные планы, гибкий график и неограниченный отпуск. — Программы поддержки финансового, ментального и физического здоровья. Компания Prove специализируется на мобильной идентификации и аутентификации, обслуживает более 1000 корпоративных клиентов и обрабатывает 20 миллиардов запросов в год в различных отраслях.

Задачи: — Разрабатывать и поддерживать сервисы и API на C# / .NET — Разрабатывать интерфейсы на React или Vue — в зависимости от проекта — Участвовать в проектировании архитектуры и выборе технических решений — Писать поддерживаемый, тестируемый и понятный код — Проводить code review и помогать команде расти — Работать с базами данных, очередями, кэшами, внешними API — Участвовать в CI/CD, деплое и мониторинге — Декомпозировать задачи, оценивать сроки и влиять на технические решения — Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта Требования: — Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior — Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core — Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации — Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management — TypeScript — уверенное использование — Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги — Понимание SQL и умение писать запросы — Опыт с Docker, Git, Linux, CI/CD — Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги — Понимание принципов SOLID, паттернов проектирования и чистого кода — Технический английский — чтение документации, переписка, созвоны Будет плюсом: — Опыт коммерческой разработки и на React, и на Vue — Опыт миграции между фреймворками (Vue → React, React → Vue) — Fullstack-опыт: самостоятельная разработка от API до интерфейса — Микросервисная архитектура, gRPC, GraphQL — Kafka, RabbitMQ, Redis, NATS — Kubernetes, Helm, Terraform, Ansible — Cloud: AWS / Azure / GCP / Yandex Cloud — Опыт высоконагруженных систем — Опыт миграций, работы с легаси, монорепозиториями — Опыт в финтехе, e-commerce, SaaS, ML, DevTools — Вклад в open source — Опыт менторства, техлидства, архитектурных ревью — Английский B2+ — Опыт работы в продуктовых командах и/или стартапах Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо Контакты для отклика: info@it-implant.ru

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: Japan About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a senior Account Executive to drive customer acquisition and growth across Japan. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region. You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment. This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings. As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Tokyo Area. Your responsibilities will include: Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets. Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships. Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations. Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes. Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions. Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets. Market presence: Represent Nebius at regional and industry events, webinars, and customer forums. Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively. We expect you to have: 10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies. A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy. Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies. Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring. A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth. Willingness and ability to travel within the region as needed. It will be an added bonus if you have: Prior experience in a high-growth or early-stage startup environment. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Руководить проектированием и реализацией платформы CDS Hooks, включая оркестрацию карточек, обработку контекста хуков, логику на стороне EHR и интеграцию с сервисами данных. — Владеть контрактами API CDS Hook, обеспечивать соответствие спецификации SMART CDS Hooks, улучшать производительность и надежность. — Вести техническую интеграцию с EMR системами (Epic, NextGen, Athena, ECW) для обнаружения, выполнения CDS Hook, отображения карточек и обработки действий пользователей. — Проектировать, создавать и поддерживать публичные REST и событийно-ориентированные API, предоставляющие клинические данные, метрики качества, данные о пробелах в уходе, данные атрибуции и контент поддержки принятия решений. — Устанавливать контракты API, стратегии версионирования и политики устаревания для баланса инноваций и стабильности. — Реализовывать и поддерживать паттерны безопасности API, включая OAuth 2.0, авторизацию на основе областей, ограничение скорости и аудит логов. — Проектировать и оптимизировать каналы данных в реальном или почти реальном времени для CDS Hooks и API с низкой задержкой и высокой свежестью. — Разрабатывать и внедрять комплексные тестовые и QA-фреймворки для CDS Hooks и API, включая валидацию контекста хуков, проверку отображения карточек и тестирование клинических рабочих процессов. — Устанавливать метрики надежности и SLA для доставки CDS Hook и производительности API, измерять и отслеживать их в соответствии с клиническими требованиями. — Определять и измерять клинические метрики влияния, такие как принятие CDS Hooks, взаимодействие клиницистов, успех интеграции рабочих процессов и влияние на результаты пациентов. — Принимать архитектурные решения с учетом компромиссов между корректностью, задержкой, масштабируемостью, поддерживаемостью и операционными рисками. — Проектировать и внедрять паттерны надежности для CDS и API сервисов, включая мониторинг, оповещения, обнаружение сбоев, плавное деградирование и восстановление после инцидентов. — Сотрудничать с инженером по надежности данных для определения и эксплуатации SLA, согласованных с клиническими потребностями. — Устанавливать и поддерживать инженерные стандарты для дизайна API, схем данных, паттернов интеграции и интероперабельности; поддерживать техническую документацию и спецификации OpenAPI. — Сотрудничать с командой Data Engineering для согласования моделей данных, наборов данных и возможностей платформы с требованиями поддержки клинических решений и API. — Быть техническим авторитетом по стандартам клинической интероперабельности (SMART CDS Hooks, FHIR, HL7, CDS Hooks, интеграция EHR). — Взаимодействовать с продуктом, клиническими операциями и бизнес-стейкхолдерами для уточнения требований, трансформации клинических рабочих процессов в функции платформы и формирования направления продукта. — Быть доверенным техническим советником для партнеров EMR, систем здравоохранения и внешних потребителей API, обеспечивать четкие и предсказуемые ожидания и поставки. — Обеспечивать соответствие всех CDS и API сервисов требованиям безопасности, конфиденциальности и нормативным требованиям здравоохранения (HIPAA, государственные регламенты, требования плательщиков). — Сотрудничать с командами IT Security и Compliance для реализации безопасного контроля доступа, аудита, шифрования и мер защиты данных. — Проектировать и внедрять аудиторские следы для доступа к клиническим данным, поддерживать аудиты соответствия и нормативную отчетность. — Наставлять членов команды через обзоры дизайна, парное программирование и архитектурное руководство по интеграции клинических данных и дизайну API. — Документировать новые и существующие системы, дизайны, процессы и процедуры. Требования: — 8+ лет опыта проектирования, создания и эксплуатации API платформ, сервис-ориентированных систем или бэкенд-инфраструктуры в масштабе. — Опыт работы на уровне старшего или ведущего специалиста с владением сложными системами от начала до конца. — 3+ года прямого опыта интеграции данных здравоохранения, рабочих процессов EMR, обмена клиническими данными или стандартов интероперабельности здравоохранения (FHIR, HL7, CDA, данные по страховым случаям). — 2+ года практического опыта с CDS Hooks, SMART on FHIR или аналогичными API поддержки клинических решений. — Глубокие знания проектирования и эксплуатации REST API, включая дизайн контрактов, версионирование, обработку ошибок и паттерны аутентификации/авторизации. — Экспертные знания интеграции данных здравоохранения, рабочих процессов EMR и паттернов интероперабельности (FHIR, HL7, CDS Hooks, SMART on FHIR). — Опыт проектирования надежности, SLA и операционных метрик; способность переводить клинические требования в технические SLO. — Опыт определения и измерения метрик производительности API (задержка, доступность, ошибки); знакомство с мониторингом и обеспечением SLA. — Системное мышление с умением проектировать масштабируемые, надежные, поддерживаемые и устойчивые системы. — Владение современными бэкенд-языками (Python, Java, Go или аналогичные); умение читать и анализировать код на разных языках. — Опыт работы с облачными платформами (AWS, Databricks, GCP) и контейнеризированными сервисами (Docker, Kubernetes или управляемые сервисы). — Способность эффективно взаимодействовать с инженерными, продуктовыми, аналитическими, клиническими и бизнес-командами. — Четкие письменные и устные коммуникативные навыки, особенно для объяснения технических концепций и компромиссов клиницистам и неспециалистам. — Умение работать в быстро меняющейся, неоднозначной среде с учетом требований соответствия и регулирования в здравоохранении. Плюсы: — Практический опыт реализации спецификации CDS Hooks и SMART on FHIR в продуктивных средах здравоохранения. — Опыт внедрения и тестирования CDS Hooks в нескольких EMR системах (Epic, NextGen, Athena, ECW) с валидацией клинических рабочих процессов. — Знание форматов и стандартов данных здравоохранения: ресурсы FHIR (Patient, Condition, Medication и др.), CCD/C-CDA, данные по страховым случаям (837s, 835s), HL7 v2 или v3. — Опыт проектирования и эксплуатации каналов данных в реальном или почти реальном времени для клинических приложений и систем поддержки решений. — Знание метрик ухода, основанных на ценности, пробелов в уходе, мер качества (NQF, HEDIS) и стратификации риска HCC/RAF. — Опыт работы с платформами управления API, порталами разработчиков или экосистемами партнеров / паттернами монетизации API. — Знакомство с OAuth 2.0, OIDC, SAML и федеративными паттернами идентификации в системах здравоохранения. — Опыт работы с CI/CD пайплайнами, инфраструктурой как кодом и безопасными практиками деплоя. — Опыт поддержки платформ, ориентированных на провайдеров, или внешних клинических партнеров; глубокое понимание рабочих процессов и ограничений провайдеров. — Опыт работы в стартапе здравоохранения или быстрорастущей технологической компании в сфере здравоохранения. — Знакомство с управлением данными здравоохранения, нормативами интероперабельности (21st Century Cures, ONC rules) и фреймворками качества клинических данных. — Опыт работы с фреймворками тестирования API и обеспечением качества распределенных систем. Условия: — Конкурентная базовая компенсация. — Потенциал годового бонуса. — Медицинские льготы с первого дня работы. — Программа здоровья и благополучия с выделением до $300 в квартал. — План 401K с первого месяца работы, покрывающий 100% до 4% годовой зарплаты. — Неограниченный или щедрый оплачиваемый отпуск "Vytal Time" и 5 оплачиваемых больничных после первых 90 дней. — Оплата компанией краткосрочной и долгосрочной нетрудоспособности (STD/LTD). — Современная технологическая инфраструктура. — Возможность участвовать в создании лидера рынка в области здравоохранения с оплатой за результат. Дополнительно: — В процессе отбора не запрашивают дополнительную личную или финансовую информацию, не просят покупки или интервью через текстовые сообщения. — Все коммуникации от рекрутеров приходят с домена vytalizehealth.com.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We’re looking for a strong Golang Backend Engineer to join a product-focused engineering team. In this role, you’ll work closely with other engineers to build and maintain scalable backend services, improve system performance, and contribute to the overall architecture of the platform. This is a great opportunity for someone who enjoys working in a fast-paced environment, is comfortable with modern backend technologies, and is eager to grow and experiment with new tools and approaches. The project provides maintenance and development for a high-load platform for hotel reservations, It requires improvements and optimizations of the UI and backend functionality. Develop and maintain backend services using Golang Collaborate with cross-functional teams (engineering, DevOps, product) Design and implement scalable APIs and services Work within a microservices-based architecture Ensure code quality through reviews and collaboration (e.g. pair programming) Identify and resolve performance and reliability issues Contribute to continuous improvement of engineering practices and processes Troubleshoot and debug complex technical issues 2+ years of hands-on experience with Golang Strong understanding of Go fundamentals, standard library, and best practices Experience designing and working with APIs (REST and/or gRPC) Experience with microservices architecture Good understanding of asynchronous communication and concurrency Solid problem-solving skills and proactive mindset Experience working in collaborative engineering teams Experience with cloud platforms (AWS, GCP, or Azure) Familiarity with Linux environments Experience with containers (Docker, Kubernetes) and related tools (e.g. ArgoCD) Understanding of networking basics (routing, gateways, firewalls, etc.) Experience with other programming languages (Java, Scala, C/C++, Rust) Interest in the travel domain Degree in Computer Science or a related field

Задачи: — Проектирование и управление инфраструктурой AWS (VPC, IAM, EKS/ECS, S3, EventBridge) с использованием Terraform в средах DEV, QA и Production — Создание и поддержка CI/CD-конвейеров и стандартизированного процесса развертывания для команд AI-агентов — Поддержание надежности платформы в производственной среде: масштабирование, резервное копирование, управление секретами, мониторинг и оповещение — Внедрение лучших практик безопасности: сетевая изоляция, шифрование, доступ с минимальными привилегиями и интеграция SSO — Создание контейнеров и развертывание AI-агентов и сервисов на основе Python, а также устранение неполадок в сотрудничестве с командой разработки — Разработка автоматизации и внутренних инструментов на Python для управления инфраструктурой и рабочих процессов развертывания Требования: — Опыт работы в DevOps/Cloud Engineering не менее 5 лет, включая управление производственными средами — Большой практический опыт работы с AWS и Terraform — Опыт работы с Kubernetes (желательно EKS), Docker и Helm — Опыт работы с CI/CD инструментами: GitHub Actions, GitLab CI или аналогичными — Отличные навыки программирования на Python: написание автоматизации и инструментов, а также чтение, отладка и поддержка сервисов на стороне сервера — Опыт интеграции приложений с провайдерами идентификации через SSO (OIDC/SAML), например, Okta или Microsoft Entra ID — Понимание архитектуры инфраструктуры для ИИ-агентов и её компонентов (API LLM, векторные базы данных, фреймворки агентов) — Способность работать самостоятельно и общаться напрямую с заинтересованными сторонами клиента Хорошо, если есть: — Знакомство с платформами и инструментами для ИИ: AWS Bedrock, LangChain/LangGraph, векторные базы данных (например, ChromaDB), Langfuse — Опыт работы с FastAPI — Опыт работы в фармацевтической, биофармацевтической или других регулируемых отраслях — Сертификаты AWS Условия: — Конкурентная компенсация — Работа на удаленке или в офисе — Гибкий график работы — Программы непрерывного обучения, наставничества и профессионального развития — Команда с отличной технической экспертизой

Location: SF Bay Area Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced software engineer to help drive and evolve our data and AI security product. Our technology is new and rapidly evolving: you’ll be an early contributor with a substantial impact on the architecture and be solving multiple exciting technical challenges! WHAT YOU'LL DO - You'll design and implement highly scalable and fault-tolerant solutions to protect enterprise data across public clouds (e.g., AWS, GCP, Azure), SaaS applications, and AI agents. - You'll build security capabilities that provide visibility into and control over how AI agents discover, access, process, and share sensitive enterprise data. - You'll solve real-world scaling problems that require thorough performance analysis and troubleshooting skills. - You'll work with a modern and constantly evolving microservices-based software stack that includes Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, Docker, and more. - You'll write robust, secure-by-design software that must withstand real-world attacks while processing untrusted data and communicating with hundreds of thousands of endpoints over the internet. WHO YOU ARE - Proven Expertise: You have 5-8 yrs of industry experience in building high-scale security products. Experience in data security is highly preferred. - AI Agents and Agentic Security: You have experience building AI agents, agentic applications, or security solutions for AI agents. Familiarity with agent frameworks, tool calling, MCP, and securing agent access to enterprise data is highly preferred. - Cloud and SaaS Development: You have extensive experience developing distributed application software for public clouds (AWS, GCP, Azure) or SaaS applications. - Data Integration at Scale: You are skilled in integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - Programming Skills: You have extensive experience developing enterprise-scale applications, preferably in Go. Alternatively, you are proficient in Python, Java, or Rust. - Database Proficiency: Familiarity with GCP Bigtable, BigQuery, or graph databases such as Neo4j or AWS Neptune is a plus. - Performance Optimization: You have expertise in profiling and optimizing distributed code that interacts with large databases and streaming platforms. - API and Microservices Development: You are experienced in designing and implementing RESTful APIs, with hands-on knowledge of microservices and Kubernetes. - Communication Skills: You have excellent verbal and written communication skills in English and are comfortable collaborating frequently with distributed teams across Europe, India, and the US. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Bangalore Workplace: Hybrid ABOUT THE ROLE We’re looking for an experienced Senior Software Engineer with 5+ years of experience to help build and evolve our data and AI security product. You’ll work on scalable backend systems that protect enterprise data across cloud environments, SaaS applications, and AI agents. As an early contributor, you’ll have the opportunity to influence technical decisions and solve complex engineering challenges at scale. WHAT YOU’LL DO - Design and build highly scalable, reliable, and fault-tolerant backend systems to protect enterprise data across public clouds (AWS, GCP, Azure), SaaS applications, and AI agents. - Develop security capabilities that provide visibility and control over how AI agents access, process, and share sensitive enterprise data. - Build and optimize distributed services that process large volumes of data with high performance and reliability. - Work with a modern microservices-based stack including Go, Kubernetes, Bigtable, BigQuery, Spanner, Redis, and Docker. - Write secure, production-ready code and troubleshoot complex performance and scalability challenges. - Collaborate with engineering teams to contribute to technical design and architecture decisions. WHO YOU ARE - You have 5+ years of software engineering experience building scalable backend systems and distributed applications. - You have experience developing cloud-native or SaaS applications, preferably in security or data protection. - You have experience with AI agents, agentic applications, or AI security, including familiarity with agent frameworks, tool calling, or MCP. - You have experience integrating and ingesting large-scale data from third-party SaaS, PaaS, or IaaS APIs. - You have strong programming skills in Go, Python, Java, or Rust, with Go preferred. - You have hands-on experience with microservices, RESTful APIs, Kubernetes, and public cloud platforms. - You are familiar with distributed databases such as Bigtable, BigQuery, Spanner, Redis, or graph databases. - You have strong debugging, performance optimization, and problem-solving skills, with the ability to independently own and deliver technical solutions. - You communicate effectively and collaborate well with distributed teams. Joining Cyberhaven means joining the team building Data Security for the Agentic Enterprise. Traditional tools fall short. Cyberhaven traces the full lifecycle of your data, adapting protection to changing context, so protection moves with the way people actually work, not against it. AI Changed Work. We Protect It. Backed by $250M from leading investors like Khosla and Redpoint, our team includes leaders who built industry-defining technologies at CrowdStrike, Palo Alto Networks, Meta, Google, and more. This role lets you shape the future of data security, working alongside people driven to protect workflows, not just data, for customers who cannot afford to slow down to stay safe. AI Tools Disclosure: As part of Cyberhaven's hiring process, we use recruiting tools that include AI-powered features to help with tasks like scheduling, note-taking, workflow automation, and other recruiting activities ("AI Tools"). The AI Tools may process information you provide during the application and interview process. When AI-assisted interview note taking is used, candidates are notified in advance and have the option to opt out of the AI-assisted interview note taking. Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. _______________________________________________________________________ KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. _______________________________________________________________________ WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$327.6K– CA$468K OTE United States: $226.1K – $323K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted. Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering. This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products. You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes. _______________________________________________________________________ WHAT YOU'LL DO TECHNICAL VISION AND STRATEGY - Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms. - Define and sequence "trusted by default" architecture for 20M developers. - Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps. - Establish company-wide architectural principles and security standards. - Identify high-leverage platform investments that enhance security across all Docker products. - Proactively position architecture ahead of evolving supply chain threats and regulatory demands. BUILD SECURITY ARCHITECTURE Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images. - Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history. - Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines. - Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility. - Align with and help shape emerging supply chain security standards. - Ensure security controls remain fast and unobtrusive so developers keep them enabled. SDLC AND DEVELOPER WORKFLOW INTEGRATION - Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment - Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us - Define the developer experience for security tooling, where the secure path is the fast path and the default path - Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow - Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives TECHNICAL EXCELLENCE AND INFLUENCE - Work with leaders across engineering to drive strategy and execution - Mentor and develop Staff and Principal engineers, raising the technical bar across the organization - Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement - Participate in executive-level discussions, providing architectural perspective on business decisions - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ WHAT YOU'LL BRING DOMAIN EXPERTISE - 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling - Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations - Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence - Practical knowledge of supply chain security frameworks and standards - Expertise in API design, service architecture, and scalable system integration - Proven record delivering large-scale distributed systems for millions of users and enterprise customers - Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure - Bachelor's degree in CS, Engineering, or equivalent practical experience STRATEGIC AND BUSINESS IMPACT - Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals - Experience converting business strategy into technical architectures and roadmaps - Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes - Experience leading build-vs-buy decisions for core platform components LEADERSHIP AND INFLUENCE - Ability to lead large, cross-company technical initiatives across multiple engineering teams - Experience partnering with VPs and executives to define and execute technical strategy - Proven ability to influence technical direction and build consensus without direct authority - Strong communication skills for presenting to executives and driving organization-wide alignment - Experience mentoring senior engineers and developing technical leaders ENTERPRISE CONTEXT - Experience building products that serve enterprise customers with complex security and compliance requirements - Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications - Understanding of how enterprise security teams evaluate, procure, and operate tooling PREFERRED - Scale experience at a security, developer tools, or infrastructure software company - Experience with containers (Docker, Kubernetes) or developer platforms - Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition - Proven ability to migrate legacy systems without disrupting business operations - Contributions to open-source security tools or supply chain security standards - Recognized technical leader via speaking, publishing, or open-source work - Advanced degree in CS, Engineering, or a related field _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE SECURITY POSTURE - Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration - Build-time threat classes are addressed architecturally rather than through detection after the fact - Developers keep security controls enabled because the controls are fast and unobtrusive BUSINESS ENABLEMENT - Security and governance capabilities directly unblock enterprise revenue - New product SKUs launch in weeks instead of months through the billing platform - Usage-based billing supports monetization of new security and AI product lines PLATFORM LEVERAGE - Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months - Shared security primitives replace fragmented per-product implementations - Platform systems achieve 99.9%+ uptime for business-critical workflows ORGANIZATIONAL IMPACT - Recognized across Docker as the definitive technical authority on build and supply chain security - Multiple Staff and Principal engineers developed who can own major domains - Docker's voice carries weight in the external supply chain security conversation Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $219K – $352K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a senior Account Executive to drive customer acquisition and growth across APJ. This is a strategic hunter role, focused on expanding adoption of our AI and cloud platform with new and existing customers in the region. You will own complex, high-value sales cycles end to end—building executive relationships, uncovering new opportunities, working closely with partners, and closing deals that drive long-term customer value. Success in this role requires strong consultative selling skills, the ability to translate complex business needs into tailored solutions, and comfort operating in a fast-moving, innovative environment. This role blends strategic thinking with hands-on execution and will play a key role in helping customers unlock the full potential of Nebius’ AI and cloud offerings. This role is also a core member of our founding APJ team, currently operating remotely out of Singapore . Your responsibilities will include: Own and grow your territory: Build and execute a strategic territory plan, delivering against revenue and growth targets. Negotiation & closing: Lead complex, multi-stakeholder negotiations with C-suite and senior decision-makers, closing deals that support long-term partnerships. Solution selling: Demonstrate the value of Nebius’ AI and cloud platform through consultative discovery, tailored presentations, and product demonstrations. Client engagement: Develop trusted relationships with key stakeholders across the enterprise, aligning solutions to customer-specific challenges and outcomes. Team orchestration: Partner closely with Sales Engineers, Industry Specialists, Partners, and Customer Success to deliver differentiated value propositions. Forecasting & execution: maintain strong forecast accuracy and delivering against ACV and activity targets. Market presence: Represent Nebius at regional and industry events, webinars, and customer forums. Subject matter expertise: Stay current on industry trends, emerging technologies, and the competitive landscape to position our solutions effectively. We expect you to have: 10+ years of B2B sales experience, ideally in AI, cloud, data infrastructure, or related technologies. A proven track record of exceeding sales targets, generating pipeline, and maintaining forecast accuracy. Experience selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, or complex enterprise technologies. Strong commercial acumen, including value-based selling, executive storytelling, negotiation, and multi-year deal structuring. A genuine interest in working in a high-growth, startup environment, with a desire to directly impact company growth. Willingness and ability to travel within the region as needed. It will be an added bonus if you have: Proficiency in additional regional languages beyond English. Prior experience in a high-growth or early-stage startup environment. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Задачи: — проектировать масштабируемые решения в области безопасности — автоматизировать процессы обнаружения угроз и реагирования — руководить инцидент-менеджментом — усиливать возможности безопасности с использованием искусственного интеллекта Требования: — опыт в инфраструктурной безопасности, ISO 27001, threat modeling — знание Git, облачных технологий, Bitcoin — опыт в корпоративной безопасности, безопасности продуктов — навыки инцидент-реагирования, автоматизации безопасности — понимание стандартов PCI, SOC 2 — опыт работы с AWS, GitHub Условия: — удалённая работа — зарплата $225,000 - $275,000 в год

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview Fanatics Betting & Gaming (FBG) is on a mission to create the best online sportsbook in the industry. We are seeking an Engineering Manager to lead the team that builds the Balance and Ledger platform: the shared ledger and customer-level balance that holds customer funds across Fanatics. This leader will own systems where accuracy matters most, guiding the team through complex and ambiguous problems while ensuring operational excellence, consistent delivery, and long-term impact. The team sits within the Customer, Accounts & Transactions (CAT) domain and works closely with the Payments team. The Engineering Manager plays a central role in shaping the architecture, processes, and engineering culture of the balance platform. You will lead backend engineers (Java, Spring Boot, AWS) who are responsible for the ledger, the rules that decide where each portion of a balance can be used, and the migration of existing wallets onto a shared platform. At FBG, we're revolutionizing sports betting with cutting-edge technology, a customer-first mindset, and a world-class engineering team. You'll have the opportunity to work on complex, high-scale challenges in an exciting and rapidly growing industry, as part of a team that values innovation, integrity, and excellence. Responsibilities Operational Leadership & Ownership Lead an engineering team that owns the ledger and balance services for customer funds, where correctness, auditability, and availability are key. Drive operational excellence by setting high standards for security, reliability, observability, and on-call practices. Lead the phased migration of existing business wallets onto the shared ledger, including reconciliation, cutover, and rollback planning that avoids customer-visible downtime. Partner with Finance, Legal, and Compliance on fund attribution between businesses, settlement, chargebacks, and audit requirements. Identify and resolve technical and operational risks before they affect the business. Team Performance & Delivery Build and maintain a high-performing engineering team through hiring, coaching, performance management, and career development. Define and execute a roadmap that balances new capabilities, migration work, technical health, and operational load. Plan team capacity honestly, make tradeoffs visible, and hold the team to the commitments it makes. Deliver maintainable, scalable software that handles high transaction volume without losing or double-counting a transaction. Stay close enough to the technical work to review designs, take part in architectural decisions, and unblock engineers. Communication, Stakeholder Management & Product Partnership Communicate clearly with engineers, Product, Finance, Legal, Compliance, and executive stakeholders. Build partnerships with the Payments team and with the teams in other Fanatics businesses that depend on the balance, and agree on ownership boundaries. Write and present clear documentation, including roadmaps, vision documents, design reviews, and incident reviews. Represent the balance platform's technical perspective in broader company planning. Navigating Complexity & Ambiguity Lead the team through open questions that span engineering, finance, and regulation, using structured and data-informed approaches. Bring Product, Legal, Finance, and Engineering viewpoints together to make decisions that hold up over time. Provide clarity as requirements change, new businesses onboard, and regulatory expectations evolve. Travel Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team building activities. Qualifications We value aptitude and integrity over years of experience, but here are key skills that will make you successful in this role: 3-5+ years of experience managing software engineering teams, with a track record of delivering secure, scalable systems in regulated or high-stakes environments. Background leading teams or contributing in a Java and AWS ecosystem preferred. Experience with ledgers, wallets, balance services, payments, or other financial systems of record is highly desirable. Understanding of transactional consistency, idempotency, and data modeling in systems where accuracy cannot be compromised. Experience with event-driven architectures and message streaming platforms such as Kafka. Experience leading migrations of live, high-traffic systems with minimal customer impact. Ability to balance strategic direction with technical depth. Strong communication skills and the ability to influence across Engineering, Product, Finance, Legal, and Compliance. Experience working through complex, cross-functional, and regulatory challenges. Commitment to operational excellence and to building systems that people can trust. Passion for mentoring and developing engineers, and for fostering a culture of accountability, empathy, and innovation. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $190,000 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .