Вакансии

Обязанности: • ручное функциональное, регрессионное и интеграционное тестирование бэкенд-сервисов и AI-агентов • разработка и поддержка тестовой модели (регрессионный набор, чек-листы) • написание и поддержка автотестов на Python (API, интеграционные, smoke, e2e) • анализ результатов прогона автотестов в CI, локализация и заведение дефектов • взаимодействие с командой разработки для уточнения логики работы сервисов Требования: • коммерческий стаж в тестировании — от 3 лет • из них написание автотестов — от 2 года • тестирование backend-сервисов через REST API, работа со Swagger/OpenAPI • понимание HTTP: методы, коды ответов, структура запроса/ответа • уверенный PostgreSQL: SELECT, JOIN • понимание синхронного (REST/gRPC) и асинхронного (Kafka/RabbitMQ) взаимодействия сервисов • опыт интеграционного тестирования нескольких сервисов • умение анализировать цепочки прохождения данных между системами • поиск и анализ логов в Kibana (ELK) / Grafana • написание и актуализация тест-кейсов (разумный уровень детализации) • твёрдое знание: типы данных, условия, циклы, функции, работа с файлами, ООП, регулярные выражения • понимание поддерживаемого кода (DRY, читаемость, модульность) • стек: pytest + requests + Selenium/Playwright + SQLAlchemy + pydantic (или jsonschema) • Git, Bitbucket/GitLab, Code Review • Allure-отчёты • Jenkins Условия: • удобный офис AgileHome около станции метро Кутузовская с комфортными условиями (столовые, кафе, бесплатные кухня, спортзал, парковка, зоны отдыха) • конкурентоспособная зарплата (оклад плюс бонусы) • возможность использовать современные технологии • полный соцпакет (включая добровольное медицинское страхование) • обширный выбор образовательных программ и сертификаций за счёт компании • программу льготного кредитования в Сбере • скидки у партнёров компании • шанс поучаствовать в масштабных инновационных проектах.

Задачи: — Освоить инструменты разработки, работая с разнообразными технологическими стеками, включая монолитные и микросервисные архитектуры, gRPC и REST API, Kubernetes и Docker, Python и Rust. — Создавать значимые продукты с высокой степенью автономии, полностью отвечая за свой код от идеи до реализации. — Упрощать сложные процессы и архитектуры, оптимизировать CI/CD пайплайны, писать поддерживаемый код и создавать минималистичные архитектуры для масштабируемых и надежных решений. Требования: — Способность решать сложные задачи, мыслить с первых принципов, структурировать идеи и обращать внимание на важные детали. — Высокая амбициозность, инициативность, ответственность и стремление к постоянному росту. — Командный дух, готовность поддерживать лучшие идеи, честность и прозрачность. — Свободное владение английским языком (чтение, письмо, разговор). Условия: — Работа в небольших автономных командах с талантливыми специалистами. — Возможности быстрого карьерного роста и участия в крупных проектах. — Конкурентная зарплата с возможностью получения доли в компании. — Дополнительные льготы: гибкий график, удаленная работа, обучение, медицинская страховка, помощь с переездом, поддержка родителей, ежегодные корпоративные мероприятия. — Постоянный или срочный контракт, полная занятость. — Локации: Милан (Италия), Лондон (Великобритания) или удаленно из одобренных стран. Процесс отбора: — Тесты на решение нестандартных задач. — Серия интервью с высокими требованиями к кандидатам. — Рекомендуется начать работу из офиса в Милане для лучшей адаптации с поддержкой компании по переезду. Компания придерживается принципов равных возможностей и предоставляет условия для людей с ограниченными возможностями.

Задачи: — Руководить и развивать команду из 6–10 backend-инженеров через 1:1, управление производительностью и найм. — Участвовать в архитектурных обсуждениях и обзорах дизайна для обеспечения высоких технических стандартов. — Отвечать за доставку на уровне команды, планирование и приоритизацию, балансируя скорость продукта и качество инженерии. — Сотрудничать с продуктом, данными и бизнес-стейкхолдерами для формирования дорожной карты и перевода технических ограничений. — Формировать культуру ответственности, надежности и безвиновного управления инцидентами. Требования: — Подтвержденный опыт управления инженерными командами (6+) в динамичной среде. — Глубокие знания распределенных систем на JVM-языках (Java/Kotlin). — Сильное понимание высокопроизводительных стеков (Postgres/Kafka) и наблюдаемости (SLOs/SLIs). — Владение agile-методологиями и опыт реализации сложных межкомандных проектов. — Знакомство с требованиями финтеха, такими как аудит и соответствие PCI-DSS. — Обязательное проживание или готовность к переезду в Берлин, Германия. Условия: — Гибридный режим работы: 2 дня в неделю в офисе в Берлине. — 27 дней ежегодного отпуска с увеличением в зависимости от стажа. — Годовой образовательный бюджет 1000 € и доступ к Udemy Business. — Комплексные медицинские льготы, включая обследования, доступ в спортзал и поддержку медитации. — Финансовые бонусы: программа покупки акций для сотрудников, корпоративная пенсия и ваучеры на питание.

Location: 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 Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer. You'll own the technical strategy across four interconnected pillars: - Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools. - CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering. As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through. Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use. You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities. _______________________________________________________________________ RESPONSIBILITIES Technical Leadership & Architecture - Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools - Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) - Establish architectural patterns, technical standards, and best practices across the developer tooling stack - Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services - Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks - Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation - Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction - Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns - Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management - Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) Strategic Impact & Innovation - Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy - Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does - Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction - Lead cross-functional technical discussions influencing company-wide developer tooling architecture - Define technical approach for productizing successful internal developer tools into customer-facing offerings Leadership & Mentorship - Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration - Lead design reviews and technical decision-making across all developer tooling work - Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team - Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization - Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale - Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns - Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling - Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster - Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development - Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals - Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs - Strong communication skills with ability to influence technical and non-technical stakeholders - Track record of technical mentorship and elevating engineering teams' capabilities - Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable with autonomous work in distributed, remote-first teams across multiple time zones PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in DevOps, SRE, or platform engineering domains - Contributions to open source developer tooling, platform engineering, or observability projects - Experience productizing internal platforms into commercial offerings - Deep knowledge of security, compliance, and operational best practices for production systems - Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) - Track record driving org-wide adoption of developer tooling and engineering standards _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap - Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform - Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars - Review existing tools in production and understand what's working, what isn't, and the technical lessons learned - Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars FIRST 90 DAYS - Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model - Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work - Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management - Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure - Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact - Create architectural decision records and best practices guides for teams building on the platform FIRST YEAR OUTLOOK - Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value - Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction - Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times - Lead technical strategy for productizing successful internal tools into customer-facing offerings - Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing - Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption 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: $198K – $319K 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: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: The Netherlands; Denmark; Portugal; France; United Kingdom; Spain; Germany; Italy Workplace: Remote ABOUT THE TEAM The Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part of the team you will be responsible for designing, building, operating and maintaining components of the petabyte-scale platform that stores trillions of records and processes millions of new events every second, owning its reliability, performance and availability. Our stack is built using Golang, runs in Kubernetes, and is, of course, stored in ClickHouse. The team’s responsibilities include gathering and processing data for the internal billing and accounting system as well as customer-facing dashboards that provide our customers with immediate insights and analytics. The Product Metrics system is specifically designed to prioritize delivery guarantees, precision, and accuracy in handling extensive data volumes. Its primary goal is to provide data that is both prompt and accurate, supporting reliable operational decisions and enhancing the overall customer experience. WHAT WILL YOU DO? - Take an active part in determining the roadmap for the Product Metrics team - Work closely within the team to deliver new features, iterate and improve them - Design, build, operate, and maintain business-critical petabyte-scale systems - Be responsible for the performance, reliability, availability and cost-efficiency of the Product Metrics systems - Mentor and support other team members, participate in design discussions and collaborate with the team - Be a part of on-call rotation and take ownership of the services you're running WHAT ARE WE LOOKING FOR IN YOU? - You demonstrate a strong initiative and a preference for action, high level of responsibility, ownership and accountability - You prioritize customer needs, ensuring that our products are designed with the user in mind - You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively - You have a strong problem solving mindset and have solid production debugging skills - You have excellent communication skills and the ability to work well within a team and across engineering teams in a fully remote environment - You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward REQUIREMENTS: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems - 2+ years of software application development experience using Golang - Experience with at least one of the major Cloud Service Providers such as AWS, GCP or Azure - Experience with storing, shipping, and retrieving large volumes of data efficiently using technologies such as ClickHouse  - Experience with technologies such as Kubernetes, Helm, ArgoCD, Temporal as well as infrastructure-as-code tools such as Terraform BONUS POINTS: - Experience with ClickHouse - Experience writing Kubernetes operators or controllers - Experience with Kafka streaming technology  PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Seattle, WA; San Francisco Bay Area 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 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. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. _______________________________________________________________________ RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments 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: $170,350 – $275,550 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: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: — Разработка и поддержка on-chain и off-chain проектов, связанных с Pyth, включая смарт-контракты, SDK и утилиты. — Влияние на развитие проекта совместно с командами бизнес-развития и продаж. — Наставничество младших инженеров и поддержание высокого уровня проектирования и документации ПО. — Взаимодействие с сообществом разработчиков, понимание их потребностей и создание SDK, документации и инструментов для них. Требования: — Минимум 4 года опыта в разработке программного обеспечения с портфолио реализованных продуктов. — Глубокие знания Rust. — Опыт работы с крупномасштабными, критически важными системами будет плюсом. — Опыт разработки смарт-контрактов и блокчейн-проектов приветствуется, но также ценятся бекенд-инженеры с опытом в низкоуровневых языках (Rust или C++). — Знакомство или интерес к Solidity, Python и Typescript. — Умение работать в быстро меняющейся стартап-среде и адаптироваться к изменениям в DeFi. — Отличные коммуникативные навыки для взаимодействия с техническими, бизнес и внешними партнерами. — Готовность участвовать в периодических дежурствах. Условия: — Удаленная работа с командой, расположенной по всему миру. — Работа в стартапе в сфере децентрализованных финансов. — Английский язык как основной для коммуникации внутри команды и с внешними разработчиками. — Возможность работать из офиса в Порту, Португалия (опционально).

Location: Warsaw Workplace: OnSite - Senior Electronics Engineer - Department: Engineering - Location: Warsaw, Poland - Reports to: Engineering Lead, AOCS Hardware - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO)   THE MISSION OF THE SENIOR ELECTRONICS ENGINEER You ensure that our AOCS system delivers reliable and consistent performance through innovative power electronics design and precision control systems. Beyond this, you will also have the opportunity to design other high-speed, high-power, and high-reliability electronics supporting ICEYE's growing constellation of diverse spacecraft. This role is within the Attitude and Orbit Control domain where we are responsible for developing and maintaining the power electronics and control systems that enable our AOCS capabilities. Your job will be to work closely with production teams, operations teams, and software teams to ensure smooth and performant operation of our propulsion systems in development and deployed environments. Expect to be involved in the complete lifecycle of the system - from design phases of next-generation propulsion architectures to maintenance and optimization of existing systems we and our customers operate. We move fast. At ICEYE, you are expected to understand the whole system - not just your slice of it - and to iterate quickly. Designs you work on today can be launching to orbit within months, not years. This is an environment where your decisions carry real weight and your work becomes tangible faster than almost anywhere else in the industry. You will have a direct impact on mission success as the performance and reliability of our AOCS electronics directly affect the operational capabilities we deliver to our customers and the overall performance of our fleet. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.     YOUR DAY-TO-DAY RESPONSIBILITIES: - Own the full design lifecycle of flight hardware - from first schematics and component selection through bring-up, functional and environmental testing, launch, and on-orbit operations - creating a tight learning and improvement loop at every stage - Develop a deep understanding of the complete AOCS system, including the interplay between power electronics, control systems, and the spacecraft subsystems they drive - Lead the design of power electronics and control electronics for AOCS hardware, including power conversion, distribution, and precision control circuits - Design and optimize power electronics for efficiency, thermal management, and performance across all operational environments - Develop precision analog and data acquisition circuits for power measurement, voltage/current monitoring, signal conditioning, and feedback control - Troubleshoot and resolve issues across the full lifecycle - design, prototyping, manufacturing, field operation, and on-orbit anomalies - Work closely with firmware engineers, FPGA engineers, software developers, and mechanical and thermal engineers to ensure seamless integration - Mentor junior engineers to continuously raise the bar on design and testing practices WHAT WE’RE LOOKING FOR: MUST HAVES: - MSc in Electrical Engineering, Electronics Engineering, or related field with 5+ years of professional experience in high-voltage electronics - Proven expertise in high-voltage electronics (250V+) design, high-voltage topologies, switching architectures, power management, and low-noise power supply design - Advanced analog circuit design: precision measurement, sensor interface and signal conditioning, low-noise amplifier design, and transimpedance circuits - Advanced proficiency with circuit simulation and PCB design tools like, LTSpice and Altium. - Understanding of high-speed signal design: signal integrity, timing analysis, and EMI/EMC principles for noise mitigation in high-voltage switching environments - Experience designing embedded control hardware for power electronics: microcontroller interfaces (ADC, PWM, GPIO), protection circuits (overcurrent/overvoltage detection), fault handling, and safe-state transitions - Experience designing serial communication hardware (RS485, UART) with proper isolation, impedance matching, and protection - Ability to work closely with firmware engineers to define hardware interfaces, protection circuits, telemetry acquisition and develop joint verification test cases - Excellent communication skills and ability to work effectively across multidisciplinary teams NICE TO HAVES: - Hands-on experience with environmental testing (vibration, thermal, radiation, vacuum) and harsh operating conditions - Fundamental understanding of control systems, feedback loops, and closed-loop circuit design - Experience designing solenoid valve driver circuits for high-current on/off switching, including flyback protection and inductive load management - Experience with wide-bandgap semiconductor technologies (GaN, SiC MOSFETs) - Experience with design for manufacturability (DFM) and cost optimization - Proficiency in programming languages (C, Python) for firmware integration or hardware characterization     APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com

Задачи: — Тестирование игровой логики казино-провайдеров (Spinomenal, Pragmatic Play, Hacksaw Gaming и др.). — Проверка игровых механик: RTP, volatility, session behavior, game rounds, session IDs, provider callbacks. — Тестирование бонусных систем: Free Spins, Bonus Money, Bonus Buy, wagering requirements (x20/x30), sticky / non-sticky бонусы, cashback-механики. — Проверка финансовой логики: PnL игрока и провайдера, балансы, бонусные средства, платежные сценарии. — Тестирование affiliate tracking: registrations, FTD, conversions. — Тестирование Frontend, Backend и End-to-End сценариев. — API testing через Postman. — Проверка UI/UX и соответствия дизайну (Pixel Perfect). — Создание тест-кейсов, чек-листов и баг-репортов. — Участие в регрессионном и релизном тестировании. Требования: — 1+ год коммерческого опыта Manual QA в iGaming / Online Casino. — Глубокое понимание игровой логики казино и player journey. — Опыт тестирования: RTP, volatility, session behavior; бонусной и финансовой логики; Free Spins, Bonus Money, Bonus Buy; wagering, sticky/non-sticky бонусов; cashback систем. — Понимание PnL игрока и провайдера. — Опыт тестирования веб-продуктов (Frontend, Backend, E2E). — Понимание лендингов, регистрационных форм и конверсионных сценариев. — Опыт тестирования интерфейсов на разных устройствах и разрешениях. — Навыки UI/UX тестирования и Pixel Perfect проверки. — Опыт работы с API и Postman. — Внимательность к деталям и аналитическое мышление. Будет плюсом: — Jira, GTM/Google Analytics. — SQL, DevTools, Charles Proxy. — Опыт автоматизации тестирования. — Опыт работы с платежными провайдерами и KYC.

Задачи: — Строить бэкенд кошелька, SDK и enterprise API; — Проектировать и деплоить смарт-контракты — от прототипа до продакшена; — Поднимать платформенные сервисы: сканеры, индексеры, внутренние API; — Строить event-driven системы под институциональные нагрузки; — Участвовать в R&D — исследовать новые фреймворки, протоколы и подходы. Требования: — 5+ лет бэкенд-разработки с реальным продакшн блокчейн-опытом; — Сильный JVM-бэкграунд: Scala, Kotlin или Java. Функциональное программирование (Cats Effect, Akka, ZIO) — жирный плюс; — Успешный опыт шиппинга смарт-контрактов на Solana, EVM, Cardano или другом живом чейне; — Опыт создания кошельков, трейдинг-систем, индексеров или DeFi-протоколов; — Глубокое понимание event-driven архитектуры (Kafka, RabbitMQ). Плюсом будет: Мультичейн-опыт, Rust / Anchor, финтех, DAML, custody, трейдинг-инфраструктура. Условия: — Полная инженерная свобода и Senior-команда без лишнего менеджмента; — 100% удаленный формат работы из любой точки мира; — Участие в создании уникального глобального финтех-продукта.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Security Engineer to build the systems that triage and validate bug bounty and other externally reported security findings, not to work the queue. This role suits a software engineer moving into security or a security engineer with a strong engineering background. You will build large language model (LLM) and agent-based tooling that validates findings, traces them to their root cause, and opens fixes for well-understood vulnerability classes. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Build the systems that take in externally reported vulnerabilities and assess validity, severity, and reproducibility at a volume manual triage cannot match Build LLM and agent-based analysis that validates business logic, authentication, and design-level findings, not just known signatures Build systems that trace validated findings to their root cause and propose, and increasingly open, fixes for well-understood vulnerability classes, with human review gates Own the bug bounty program, including scope, policy, and researcher engagement, and feed every resolved report back into automated triage Extend the tooling into security testing capabilities that customers can use on what they build and deploy What you need 5+ years of software engineering or security engineering experience, building and shipping production systems or internal tools Wrote production code in JavaScript/TypeScript on Node.js, with hands-on experience in web frameworks such as Next.js or React Built with LLM or agent-based tooling Reproduced and assessed externally reported vulnerabilities, including judging severity Bonus if you Built security automation used across an engineering org, not just for your own team Built systems that auto-generate or propose code fixes, not just findings Tested or secured multi-tenant platforms where customer-built applications run on shared infrastructure Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently. You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday. What you'll do Design and implement scalable security controls across our cloud-native platform. Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation. Build secure by default infrastructure and code CI/CD pipelines. Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows. Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience. Conduct threat modeling, risk analysis, and mitigation planning for critical systems. Drive improvements in monitoring, detection, and incident response at the platform level. Build, deploy and maintain relevant tooling. What you need 8+ years of experience in infrastructure or platform security roles. Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening. Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security. Skilled at balancing engineering realities with principled security practices. Proven track record of shipping secure, resilient systems at scale. Bonus if you Have built or scaled security automation pipelines. Contributed to open-source security projects or tools. Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP. Hold a bachelor's or master's degree in Cybersecurity or similar disciplines. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: South Africa; Pakistan; Philippines; India About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a rapidly growing AI-powered software company transforming digital validation processes within the pharmaceutical, biotechnology, and medical device industries. Their platform leverages artificial intelligence and automation to dramatically reduce validation timelines and costs, helping regulated organizations accelerate innovation while maintaining compliance and quality standards. As a fast-growing scale-up, the company offers the opportunity to work on meaningful technology that directly impacts life sciences teams around the world. Job Summary We are looking for a Junior Support Engineer to join a growing engineering team supporting customers across the life sciences industry. This is an excellent opportunity for an early-career software engineer who enjoys debugging technical issues, solving customer problems, and working directly with modern web technologies. As the first point of technical support, you will investigate customer-reported issues, diagnose bugs, implement fixes, and communicate solutions clearly to customers. You’ll work closely with engineering, product, and QA teams while gaining hands-on experience across the full software stack. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase codebase. Investigate customer-reported issues and reproduce bugs within the application. Use Cursor or similar AI-powered development tools to trace errors and identify root causes. Debug front-end and back-end systems, including APIs, databases, and application logic. Implement maintainable fixes using TypeScript across the application stack. Improve edge-case handling, reliability, and overall application performance. Draft clear and professional customer emails explaining issues, resolutions, and next steps. Provide calm and empathetic support during high-pressure customer situations. Collaborate with product, QA, and engineering teams to prioritize and resolve issues. Assist with patch releases and ongoing platform improvements. Update internal documentation, runbooks, and knowledge base articles to improve future support processes. Requirements Experience developing applications using JavaScript and TypeScript. Hands-on experience with Next.js, React, Node.js, Supabase, and SQL. Strong debugging, troubleshooting, and problem-solving skills with excellent attention to detail. Ability to work independently, take ownership of issues, and drive resolutions to completion. Excellent written English communication skills and the ability to explain technical concepts to non-technical users. Comfortable communicating directly with customers and diagnosing technical issues in a professional manner. Experience using modern development workflows, version control systems, and software engineering best practices. Experience independently shipping software features or contributing to production applications is preferred. Exposure to AI-assisted development tools such as Cursor or similar coding assistants is a plus. Previous experience in technical support, customer-facing engineering roles, SaaS companies, or startup environments is advantageous. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Colombia; Mexico; Argentina; Brazil; Costa Rica; Chile About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-powered digital validation platform serving pharmaceutical, biotechnology, and medical device organizations worldwide. Their technology helps life sciences teams dramatically reduce validation costs, automate complex workflows, and accelerate compliance processes through intelligent automation and AI-driven assurance solutions. As a rapidly growing scale-up company, they are building the next generation of digital validation tools that enable teams of all sizes to work more efficiently and deliver critical projects faster. Job Summary We are seeking a Junior Support Engineer to join a growing technical team supporting customers across the life sciences industry. This role is ideal for an early-career software engineer who enjoys debugging, problem-solving, and working directly with customers to resolve technical issues. As the first line of technical support, you will investigate customer-reported issues, diagnose bugs, implement fixes across the application stack, and communicate solutions clearly and professionally. You'll work with modern technologies including Next.js, React, Node.js, Supabase, and TypeScript while collaborating closely with product and engineering teams. This is an excellent opportunity for someone looking to grow their software engineering career while gaining hands-on experience in customer-facing technical support. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs across the platform. Use Cursor or similar AI-assisted development tools to trace errors, inspect code, and identify root causes. Write clean, maintainable TypeScript code to resolve bugs and improve application stability. Contribute fixes across both frontend and backend systems. Communicate technical solutions clearly through customer-facing emails. Help customers troubleshoot issues while maintaining professionalism and empathy during challenging situations. Collaborate with Product, QA, and Engineering teams to prioritize fixes and improve product reliability. Document common issues, solutions, and troubleshooting processes within internal knowledge bases. Assist with monitoring, testing, and continuous improvement initiatives. Requirements Basic experience with JavaScript and TypeScript development. Familiarity with modern web technologies including Next.js, React, Node.js, SQL databases, and Supabase. Strong debugging, troubleshooting, and problem-solving skills. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Comfortable communicating directly with customers and handling technical issues professionally and empathetically. Ability to work independently, take ownership of tasks, and manage priorities with minimal supervision. Strong attention to detail and a willingness to learn new technologies and tools quickly. Experience using AI-assisted development tools such as Cursor or similar IDE tools is advantageous. Previous customer support or technical support experience is preferred. Experience contributing to production applications or independently shipping software features is a plus. Understanding of software testing, troubleshooting methodologies, and root-cause analysis is beneficial. Successfully diagnose and resolve customer issues accurately and efficiently. Deliver high-quality bug fixes with minimal oversight while maintaining code quality standards. Communicate technical problems, resolutions, and next steps clearly to both customers and internal teams. Provide professional, calm, and customer-focused support, particularly during high-pressure situations. Contribute to internal documentation, runbooks, and knowledge bases to reduce recurring issues and improve team efficiency. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: North Macedonia; Romania; Bulgaria; Slovakia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a rapidly growing AI-powered validation technology company serving pharmaceutical, biotechnology, and medical device innovators globally. Their platform helps life sciences organizations dramatically reduce validation costs, accelerate compliance workflows, and streamline complex digital validation processes through intelligent automation and AI-driven assurance. As the company continues its growth journey, they are expanding their engineering team to support a growing international customer base. Job Summary We are seeking a Junior Support Engineer to join a fast-growing software company operating at the intersection of AI and life sciences. This role is ideal for an early-career software engineer who enjoys solving technical problems, debugging applications, and helping customers succeed. As the first line of technical support, you will investigate customer issues, troubleshoot application problems, implement fixes, and communicate solutions clearly to customers. You’ll work closely with Product, QA, and Engineering teams while gaining hands-on experience across modern web technologies including Next.js, React, Node.js, TypeScript, and Supabase. This is an excellent opportunity for someone looking to grow their software engineering career in a supportive startup environment. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs within the application. Use Cursor or similar AI-assisted development tools to inspect code, analyze call stacks, and identify root causes. Develop and deploy maintainable TypeScript fixes across both frontend and backend systems. Improve edge-case handling, application reliability, and performance. Write clear and customer-friendly email responses explaining technical issues and resolutions. Support customers professionally and calmly during high-pressure situations. Collaborate with Product, QA, and Engineering teams to prioritize urgent issues and releases. Contribute to internal documentation, knowledge bases, and support runbooks. Help improve monitoring, alerting, and recurring issue prevention processes. Requirements Experience with Next.js, React, Node.js, TypeScript, Supabase, SQL, and Cursor or similar AI-assisted development tools. Strong debugging, troubleshooting, and problem-solving abilities. Solid understanding of software engineering principles, coding best practices, and modern development workflows. Ability to work independently, manage priorities, and execute tasks with minimal supervision. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Customer-focused mindset with strong interpersonal skills and the ability to remain calm under pressure. Experience communicating directly with customers regarding technical issues is highly preferred. Experience building, shipping, or maintaining software applications independently is a plus. Exposure to SaaS products, technical support, or support engineering environments is advantageous. Familiarity with version control systems and collaborative software development practices. Interest in AI, healthcare technology, biotechnology, or life sciences industries is beneficial. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals