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Location: South Africa; Pakistan; Philippines; Colombia; Mexico; Argentina About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Job Type: Full-time Location: Remote Job Summary As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. You will work closely with data analysts, data scientists, software engineers, and business stakeholders to ensure reliable, accessible, and high-quality data across the organization. This is an excellent opportunity for professionals who enjoy solving complex data challenges and building systems that support business intelligence, analytics, and machine learning initiatives. Key Responsibilities Design, develop, and maintain scalable ETL and ELT pipelines. Build and optimize data architectures, databases, and data warehouses. Integrate data from multiple sources, APIs, and third-party platforms. Ensure data quality, consistency, reliability, and security. Monitor and troubleshoot data pipelines and workflows. Collaborate with analytics, engineering, and business teams to understand data requirements. Implement data governance and best practices for data management. Optimize data storage, processing performance, and query efficiency. Support reporting, business intelligence, and analytics initiatives. Document data models, workflows, and technical processes. Requirements 3+ years of experience in data engineering, data warehousing, or related roles. Strong proficiency in SQL and database management. Experience with Python, Java, Scala, or similar programming languages. Hands-on experience with ETL/ELT tools and data pipeline development. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with modern data warehouses such as Snowflake, Redshift, BigQuery, or Databricks. Familiarity with orchestration tools such as Airflow or Prefect. Understanding of data modeling, data governance, and data quality principles. Experience working with large datasets and distributed systems is preferred. Strong analytical, problem-solving, and communication skills. Ability to work independently in a remote, collaborative environment. Benefits 💰 Competitive salary: Based on experience, technical expertise, and location. 🌎 Fully remote role: Work from anywhere with flexible working arrangements. 🚀 Career growth opportunities: Join innovative companies and work on impactful projects. 📈 Long-term opportunities: Build your career with growing global organizations. 🧠 Continuous learning: Exposure to modern data technologies, cloud platforms, and large-scale data systems. 🤝 Collaborative culture: Work alongside talented engineers, analysts, and business leaders. ⚙️ Cutting-edge technology: Gain experience with modern data stacks and cloud-native solutions.

Обязанности: • Проведение учебной практики и учебных занятий для групп 1,2,3,4 курса специальности «Сетевое и системное администрирование» • Технология выполнения работ по профессии рабочего "Оператор электронно-вычислительных и вычислительных машин" • Технология выполнения работ по профессии рабочего-"Наладчик технологического оборудования" • Основы вычислительной техники • Основы безопасности на производстве Требования: • Образование, знания, умения - в соответствии с профстандартом • Владение навыками работы в специализированных программах, а также: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта. • История ОС, архитектура. Диспетчеризация, планирование и взаимодействие процессов ОС, работы с памятью, файловые системы, принципы организации. Установка, настройка и работы в Windows, Linux, Astra Linux. Администрирование ОС и управление безопасностью • Сертификаты Cisco/Huawei либо иных сетевых вендоров. Плюсом будут сертификаты Microsoft и Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI/ Принцип работы протоколов TCP и UDP • Знание сетевых протоколов. FTP, SMTP, POP, IMAP, DHCP, IPv6 адресации. Протоколы удалённого доступа (SSH, Telnet). Принципы работы сети на физическом уровне. Принцип работы технологий IEEE 802.11 (WiFi) Понимание принципа работы локальных сетей, Ip адресация, SLAAC + DHCPv6. Технологии WPAN, WLAN, WMAN, WWAN. Технологии беспроводной связи BLE, BR/EDR, WiMAX • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Email Platform (L3) About the job This position is a critical engineering role within Twilio SendGrid, requiring a hands-on engineer capable of developing, deploying, and managing highly available, massive-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L3 engineer, you will act as a key driver of execution within our core services. You will be heavily involved in modernizing our backend systems, optimizing our extensive Go-based microservices, and contributing to the design and reliability of our dual-cloud infrastructure span across Amazon Web Services (AWS) and Microsoft Azure. Responsibilities In this role, you’ll: WEAR THE CUSTOMER’S SHOES: Architect and ship reliable, high-velocity features that handle critical traffic with low end-to-end latency. Partner closely with product management and technical leadership to break down complex system requirements into manageable, iterative milestones. BE AN OWNER (CODE QUALITY): Drive rigorous code reviews and push for maintainable patterns in our Go codebase, ensuring high testing standards (unit, integration, and component testing) are executed across the team. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Manage and enhance cloud configurations across AWS and Azure environments utilizing Infrastructure as Code (Terraform). Ensure deep observability coverage by standardizing metrics, alerts, and distributed tracing across core data pipelines. CHAMPION ENGINEERING HEALTH: Advocate for a clean architectural foundation. Proactively identify technical debt, system bottlenecks, and single points of failure (SPOF), balancing feature delivery with critical platform refactoring. MENTOR AND LEAD: Foster a collaborative environment by mentoring junior engineers, leading technical sprint planning, and sharing expertise across distributed engineering nodes. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 4+ years of professional software engineering experience building and operating resilient backend services at scale. Modern Development Workflow: Practical experience leveraging AI-assisted development tools (such as Claude Code) to accelerate code generation, automate testing, and streamline debugging workflows. Language Proficiency: Strong, hands-on production experience writing clean, idiomatic, and highly concurrent Go (Golang), Java or Python . Cloud Infrastructure: Solid experience deploying and managing production workloads in cloud environments—ideally with deep exposure to AWS core services (such as EC2, S3, Aurora, or DynamoDB) AND Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, Azure SQL, or Cosmos DB). Infrastructure as Code: Proficiency with Terraform for provision-level automation and maintaining environment parity. Distributed Systems: Strong theoretical and practical understanding of distributed datastores, caching layers, and asynchronous event streaming (e.g., Kafka or similar queuing ecosystems). Systems Mindset: Strong foundational background in computer science fundamentals, data structures, and building self-healing cloud architectures. Desired: Prior experience managing high-throughput applications running inside containerized infrastructure ( Docker, Kubernetes ). Familiarity with database migration pathways (e.g., transitioning traditional on-prem/relational datastores to managed instances like AWS Aurora ). Experience implementing OpenTelemetry or distributed tracing systems across decoupled microservice platforms. Direct experience handling constraints related to network topology, proxy layers, or mail transfer agent (MTA) protocols. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $138,700 - $173,400 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $146,800 - $183,600 Based in the San Francisco Bay area, California: $163,100 - $203,900. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 7/28/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: India; Singapore; Australia The Platform Auth team’s goal is to support our ‘one customer identity’ vision by providing tools, processes, and expertise for our engineering teams to create a unified access management experience while simplifying and standardizing engineering patterns in the space. We are looking for engineers to join our growing team!  What you will be doing: - Design and build the platform services that power authentication, authorization, and audit across ClickHouse Cloud. This includes a unified RBAC/ReBAC service, token issuance and session handling, and the SDKs that product teams embed to make authorization decision. - Model permissions and access control primitives (resources, roles, relationships, policies) that work across ClickHouse, SQL Console, ClickPipes, and HyperDX. Ship the libraries and APIs that other engineers build against. - Implement protocol-level support for SAML, SCIM, OIDC, OAuth2, and MFA/passwordless flows. Own the integrations that make enterprise SSO and provisioning work end to end. - Build the audit and authorization-decision telemetry pipeline so every access decision is observable, queryable, and surfaceable to customers. - Partner with product engineering teams to migrate bespoke per-product auth implementations onto the shared platform, and design APIs that make adoption straightforward. - Carry the platform on-call rotation and own production reliability for systems on the critical path of every customer request. What you bring along: - Minimum 4+ years building production backend systems at scale. Comfort with at least one systems language (Go, Rust, C++) and one application language (TypeScript, Python). - Hands-on experience designing and implementing an authentication or authorization service. Examples include building a token issuer, an OIDC or OAuth2 provider, a policy engine, a permissions model, or an FGA/ReBAC system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Working knowledge of SAML, SCIM, OIDC, and OAuth2 at the protocol level and are able to implement them. - Experience designing APIs and SDKs that other engineers depend on, with strong opinions on what makes them adoptable. - Experience operating distributed systems at scale, including caching strategies, consistency tradeoffs, and multi-region concerns. - Familiarity with identity vendors (Auth0, WorkOS, AWS/GCP/Azure IAM) as building blocks you've extended or integrated into a larger platform. - Strong production debugging instincts and a high bar for systems that are easy to develop against. Bonus: - You've built or contributed to a Zanzibar-style authorization system, or run an OpenFGA or SpiceDB deployment beyond the demo. - You've designed a multi-tenant permission model that survived real customer requirements like custom roles, hierarchies, delegation, and ABAC attributes. - You've shipped an SDK that product teams across an org actually adopted, and have opinions about why most internal SDKs fail. 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: Germany; Portugal; France; United Kingdom; Italy; The Netherlands The Platform Auth team’s goal is to support our ‘one customer identity’ vision by providing tools, processes, and expertise for our engineering teams to create a unified access management experience while simplifying and standardizing engineering patterns in the space. We are looking for engineers to join our growing team!  What you will be doing: - Design and build the platform services that power authentication, authorization, and audit across ClickHouse Cloud. This includes a unified RBAC/ReBAC service, token issuance and session handling, and the SDKs that product teams embed to make authorization decision. - Model permissions and access control primitives (resources, roles, relationships, policies) that work across ClickHouse, SQL Console, ClickPipes, and HyperDX. Ship the libraries and APIs that other engineers build against. - Implement protocol-level support for SAML, SCIM, OIDC, OAuth2, and MFA/passwordless flows. Own the integrations that make enterprise SSO and provisioning work end to end. - Build the audit and authorization-decision telemetry pipeline so every access decision is observable, queryable, and surfaceable to customers. - Partner with product engineering teams to migrate bespoke per-product auth implementations onto the shared platform, and design APIs that make adoption straightforward. - Carry the platform on-call rotation and own production reliability for systems on the critical path of every customer request. What you bring along: - Minimum 4+ years building production backend systems at scale. Comfort with at least one systems language (Go, Rust, C++) and one application language (TypeScript, Python). - Hands-on experience designing and implementing an authentication or authorization service. Examples include building a token issuer, an OIDC or OAuth2 provider, a policy engine, a permissions model, or an FGA/ReBAC system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Working knowledge of SAML, SCIM, OIDC, and OAuth2 at the protocol level and are able to implement them. - Experience designing APIs and SDKs that other engineers depend on, with strong opinions on what makes them adoptable. - Experience operating distributed systems at scale, including caching strategies, consistency tradeoffs, and multi-region concerns. - Familiarity with identity vendors (Auth0, WorkOS, AWS/GCP/Azure IAM) as building blocks you've extended or integrated into a larger platform. - Strong production debugging instincts and a high bar for systems that are easy to develop against. Bonus: - You've built or contributed to a Zanzibar-style authorization system, or run an OpenFGA or SpiceDB deployment beyond the demo. - You've designed a multi-tenant permission model that survived real customer requirements like custom roles, hierarchies, delegation, and ABAC attributes. - You've shipped an SDK that product teams across an org actually adopted, and have opinions about why most internal SDKs fail. 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.

Обязанности: • Проведение учебной практики и учебных занятий для групп 1,2,3,4 курса специальности «Сетевое и системное администрирование» • Технология выполнения работ по профессии рабочего "Оператор электронно-вычислительных и вычислительных машин" • Технология выполнения работ по профессии рабочего-"Наладчик технологического оборудования" • Основы вычислительной техники • Основы безопасности на производстве Требования: • Образование, знания, умения - в соответствии с профстандартом • Владение навыками работы в специализированных программах, а также: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта. • История ОС, архитектура. Диспетчеризация, планирование и взаимодействие процессов ОС, работы с памятью, файловые системы, принципы организации. Установка, настройка и работы в Windows, Linux, Astra Linux. Администрирование ОС и управление безопасностью • Сертификаты Cisco/Huawei либо иных сетевых вендоров. Плюсом будут сертификаты Microsoft и Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI/ Принцип работы протоколов TCP и UDP • Знание сетевых протоколов. FTP, SMTP, POP, IMAP, DHCP, IPv6 адресации. Протоколы удалённого доступа (SSH, Telnet). Принципы работы сети на физическом уровне. Принцип работы технологий IEEE 802.11 (WiFi) Понимание принципа работы локальных сетей, Ip адресация, SLAAC + DHCPv6. Технологии WPAN, WLAN, WMAN, WWAN. Технологии беспроводной связи BLE, BR/EDR, WiMAX • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's RL Scaling Science team studies how reinforcement learning behaves as we scale it (across model size, compute, and task horizon) and turns that understanding into the training recipes behind our frontier models. As a Research Engineer on this team, you'll design and run large-scale experiments to understand and resolve bottlenecks, build the benchmarks that make long-horizon progress measurable, and ship validated findings directly into production training. This role lives at the boundary between research and engineering. The problems are open, the experiments run at frontier scale, and the path from a robust result to production is short. Key responsibilities Design, run, and interpret large-scale RL experiments, reasoning rigorously about what the data does and doesn't show Investigate how RL improves as horizon, compute, and model size grow Build and maintain benchmarks for long-horizon RL so progress is measurable and reproducible Translate validated findings into production training recipes, exercising judgment about when a result is robust enough to ship Debug complex issues at the seam where research meets infrastructure - failures that only appear at scale Partner closely with adjacent RL teams across research and engineering and advance our overall RL stack Minimum qualifications Strong empirical research skills in Reinforcement Learning, large-scale ML training, or a closely adjacent area Demonstrated ability to own large experiments end-to-end, from design through interpretation Proficiency in Python and experience working with large-scale or distributed ML systems Comfort operating at the research/systems boundary, including debugging where the two meet Care about the societal impacts of AI and responsible scaling Preferred qualifications Published or shipped work in long-horizon RL or RL fundamentals Experience translating research findings into production training recipes Demonstrated large scale industry impact via RL interventions Experience working on frontier-scale training runs with long trajectories Representative projects Design a benchmark suite for long-horizon RL that distinguishes genuine capability gains from artifacts of evaluation setup Take a promising experimental finding, stress-test it across model scales, and work with training teams to land it in a production recipe Investigate an unexpected scaling trend in an RL run and trace it to a root cause spanning algorithm, data, and infrastructure The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £375,000 — £640,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — ручное и автоматизированное тестирование продукта (примерное соотношение 80 на 20) — функциональное тестирование веб-интерфейса — тестирование API (REST API / HTTP API / backend API) — проверка бизнес-сценариев — регрессионное тестирование перед релизами — разработка автотестов — заведение и сопровождение баг-репортов — построение процессов тестирования: расставлять приоритеты, решать, что тестировать руками, а что автоматизировать — помощь в проработке задач: формирование тест-кейсов и чек-листов — поиск краевых случаев в проектируемой функциональности Для автотестов используется Python и Playwright, для API — Postman. Есть возможность построить процесс тестирования и выбрать удобные инструменты. Команда: 7 человек (dev, QA, PM), в команде тестирования сейчас 1 человек. Условия: — полностью удаленный формат worldwide — 28 оплачиваемых дня отпуска — оплачиваемые больничные — компенсации за обучение

Задачи: — Создавать и развивать Kubernetes Operators с использованием Go и Operator SDK, реализованные как микросервисы. — Полный цикл разработки: проектировать и разрабатывать высокопроизводительные веб-приложения с акцентом на архитектуры с высокой доступностью и сценарии аварийного восстановления. — Управлять контейнеризированными средами с помощью Kubernetes или Docker Swarm, включая развертывание, масштабирование и мониторинг состояния. Требования: — Опыт профессиональной разработки backend не менее 7 лет, из них минимум 5 лет с Go. — Опыт работы в роли технического лидера или тимлида. — Практический опыт работы с Kubernetes. — Опыт использования Go и Operator SDK (обязательно). — Опыт работы с AWS, включая разработку и поддержку операторов для управления ресурсами в AWS. — Уровень английского не ниже B2. — Преимуществом будет знание современных серверных языков, таких как Node.js, Python или Rust, а также опыт работы с GCP или Azure. Условия: — Удалённая работа, полный рабочий день. — Контракт B2B. — Зарплата до 8500 USD gross, зависит от навыков кандидата. — Местоположение и юридическое лицо кандидата должны быть вне России, Беларуси и Турции. Компания: — Ascendra Networks, находится в режиме "стелс". — Сфера деятельности: облачная инфраструктурная безопасность.

Задачи: — Писать кастомные парсеры под соц сети, медиахостинги и маркетплейсы — Реализовывать сервисы на Python — Разрабатывать и поддерживать сервисы для сбора данных Требования: — Опыт разработки и поддержки высоконагруженных парсеров/scrapers от 3х лет — Python от 3х лет — Понимание типов различных прокси-серверов (ротация прокси, мониторинг качества), принципов работы CAPTCHA — Работа с rate limiting — Playwright — AsyncIO, aiohttp/httpx — Опыт reverse engineering внутренних API веб- и мобильных приложений — Опыт работы с базами данных (PostgreSQL / ClickHouse / Redis) — Отличное понимание HTTP/TCP, работы CDN, REST API, GraphQL, антибот-систем и методов их обхода Будет плюсом: — Опыт разработки парсеров для площадок: Instagram, YouTube, Tik Tok, Trip Advisor, Spotify, X, Flickr, LinkedIn, Reddit и аналогичные — Опыт работы с Grafana/Prometheus — Kubernetes — Kafka/RabbitMQ Условия: — Проектная занятость с гибким форматом работы — Прямая коммуникация с техническим руководством без бюрократии — Возможность вырасти в полноценную техническую роль внутри компании

Обязанности: • Проведение учебной практики и учебных занятий для групп 1,2,3,4 курса специальности «Сетевое и системное администрирование» • Технология выполнения работ по профессии рабочего "Оператор электронно-вычислительных и вычислительных машин" • Технология выполнения работ по профессии рабочего-"Наладчик технологического оборудования" • Основы вычислительной техники • Основы безопасности на производстве Требования: • Образование, знания, умения - в соответствии с профстандартом • Владение навыками работы в специализированных программах, а также: Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта. • История ОС, архитектура. Диспетчеризация, планирование и взаимодействие процессов ОС, работы с памятью, файловые системы, принципы организации. Установка, настройка и работы в Windows, Linux, Astra Linux. Администрирование ОС и управление безопасностью • Сертификаты Cisco/Huawei либо иных сетевых вендоров. Плюсом будут сертификаты Microsoft и Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI/ Принцип работы протоколов TCP и UDP • Знание сетевых протоколов. FTP, SMTP, POP, IMAP, DHCP, IPv6 адресации. Протоколы удалённого доступа (SSH, Telnet). Принципы работы сети на физическом уровне. Принцип работы технологий IEEE 802.11 (WiFi) Понимание принципа работы локальных сетей, Ip адресация, SLAAC + DHCPv6. Технологии WPAN, WLAN, WMAN, WWAN. Технологии беспроводной связи BLE, BR/EDR, WiMAX • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Location: Lisbon Workplace: Hybrid Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We are looking for a Customer Success Producer to help game studios maximize revenue through monetization, LiveOps, and direct-to-consumer (DTC) strategies. You will work closely with game teams to analyze performance, identify growth opportunities, and drive initiatives across offers, pricing, experimentation, and player engagement. This role combines analytics, strategy, and execution with a direct impact on customer growth and business results. KEY RESPONSIBILITIES Monetization and Growth Strategy - Analyze game performance, monetization, and retention metrics to identify growth opportunities - Develop recommendations for LiveOps, offers, pricing, promotions, and DTC monetization strategies - Design and evaluate experiments to improve revenue, engagement, and conversion - Assess in-game and web store experiences and propose optimization initiatives Customer Success and Revenue Expansion - Partner with game teams to drive measurable business outcomes and revenue growth - Develop and execute DTC adoption and revenue transition plans - Provide strategic guidance on monetization, LiveOps, CRM, and customer engagement initiatives - Identify expansion opportunities and help customers maximize the value of Aghanim's platform Cross-functional Collaboration - Work closely with Product, Data, Engineering, and Implementation teams to execute customer initiatives - Act as the voice of the customer, ensuring feedback and business needs are reflected in product and operational decisions - Contribute to scalable customer success processes, onboarding frameworks, and best practices REQUIRED QUALIFICATIONS - 5+ years of experience in mobile gaming, F2P, LiveOps, monetization, product analytics, or related roles - Strong understanding of game monetization, retention, LiveOps, and player lifecycle management - Experience using data to drive business decisions and improve commercial performance - Advanced proficiency in SQL and Google Sheets - Strong analytical and statistical reasoning skills - Proven experience using LLMs or GenAI tools in professional workflows - Excellent communication skills and ability to influence stakeholders through data and insights PREFERRED QUALIFICATIONS - Experience with DTC commerce, CRM, or customer lifecycle tools - Experience with Python for data analysis and automation WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Dhahran, Saudi Arabia Job Summary We are seeking an experienced Power BI Developer with 5–6 years of experience in designing and delivering enterprise-grade business intelligence solutions. The ideal candidate should have strong expertise in Power BI, DAX, Power Query, SQL, BigQuery, data modeling, and Row-Level Security (RLS) . The candidate will be responsible for developing interactive dashboards and analytical solutions that support business decision-making, with a focus on KPI reporting, inventory analytics, and executive dashboards. Key Responsibilities Design, develop, and maintain interactive and visually compelling Power BI dashboards and reports . Build and optimize KPI dashboards , inventory analytics solutions, and executive reporting dashboards. Develop complex calculations and business logic using DAX . Use Power Query to perform data extraction, transformation, and preparation activities. Design and implement scalable and efficient data models to support reporting and analytics requirements. Develop and optimize SQL queries and integrate data from BigQuery and other enterprise data sources. Implement and manage Row-Level Security (RLS) to ensure secure access to data. Collaborate with business stakeholders to gather requirements and translate them into analytical solutions. Monitor, troubleshoot, and optimize report performance and data refresh processes. Ensure data accuracy, consistency, and adherence to data governance standards. Support report deployment, maintenance, and enhancements across development and production environments. Provide documentation, user training, and ongoing support for BI solutions. Requirements Technical Requirements Must-Have Skills 5–6 years of experience in Business Intelligence or Power BI development. Strong hands-on experience with: Power BI DAX Power Query SQL Google BigQuery Data Modeling Row-Level Security (RLS) Experience in developing enterprise-level dashboards and reporting solutions. Strong understanding of data warehousing concepts and BI best practices. Experience in data integration, transformation, and performance optimization. Proficiency with version control and collaborative development practices. Good-to-Have Skills Experience with Paginated Reports in Power BI Report Builder. Experience in Power BI Service administration , including workspace management, gateways, and deployment pipelines. Knowledge of data governance , data quality, and security practices. Experience integrating Python or R within Power BI for advanced analytics and visualizations. Familiarity with Azure DevOps for source control and release management. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Experience working with enterprise-scale analytics and reporting platforms.

Задачи: — Проектирование и реализация новых решений для подключения к рынкам — Разработка и поддержка высоконагруженных, низколатентных приложений на C++ — Поиск возможностей для снижения задержек и улучшения производительности системы — Повышение надежности, стабильности и масштабируемости ключевой инфраструктуры — Поиск и устранение сложных технических проблем и узких мест в производительности — Взаимодействие с командами для внедрения новой функциональности и улучшений платформы Требования: — Опыт коммерческой разработки на современном C++ не менее 3 лет — Опыт создания или поддержки HFT, высоконагруженных и/или низколатентных систем — Хорошее понимание алгоритмов, структур данных и шаблонов проектирования ПО — Знание основ сетевых технологий, включая REST API и WebSockets — Сильные аналитические и проблемно-ориентированные навыки Желательно: — Знание протокола FIX — Опыт работы с AWS, Kubernetes, Grafana, Kibana или Prometheus — Опыт разработки на Python — Знакомство с Kafka О кандидате: — Проактивность и внимательность к деталям — Умение эффективно решать технические задачи — Быстрое освоение новых технологий и концепций — Умение работать в команде и взаимодействовать с разными отделами — Ответственность и коммуникабельность Условия: — Возможность удаленной работы или релокации в Дубай — Работа в технически сложной среде с прямым влиянием на производительность и развитие торговой платформы

Задачи: — Участвовать в проектах по разработке AI-ассистентов с текстовыми и голосовыми интерфейсами — Организовать и выстроить процесс тестирования AI-агентов — Организовывать и проводить различного рода тестирование (тест требований, ручное, функциональное, E2E, нагрузочное) AI-агентов на всем цикле разработки — Проводить нагрузочное тестирование, подготовку тестовых сценариев и данных — Активно использовать такие инструменты как Copilot в работе — Мониторить состояние систем и агентов на продакшн-среде, настраивать алертинг Требования: — Понимание принципов работы LLM (токенизация, промпты) — Знание архитектур AI агентов (ReAct, Tool Use, RAG, Multi-Agent) — Опыт работы с LangChain или аналогичными фреймворками — Понимание недетерминированности AI систем и методов их контроля — Опыт формирования процесса тестирования продукта с высокой нагрузкой — Написание автотестов на Python от 3+ лет — Опыт настройки CI/CD — Опыт нагрузочного тестирования на k6 или другого инструмента Условия: — Удалённый формат работы — Гибкий рабочий график, фулл-тайм (40 часов в неделю) — Задачи на стыке бизнеса и современных AI-технологий — Заключаем договор формата b2b (с ИП)

Обязанности: • Проведение занятий по учебным предметам, курсам, дисциплинам (модулям) образовательной программы в соответствии с расписанием учебных занятий • Разработка и обновление учебных программ • Планирование в соответствии с локальными актами колледжа, занятий по учебным предметам, курсам, дисциплинам • Ведение документации, выполнение должностных обязанностей в соответствии с требованиями безопасности • Преподавание следующих дисциплин: • Проектный менеджмент в сопровождении и разработке программного обеспечения • Разработка встраиваемых программных модулей • Практическая подготовка по технологии выполнения работ по профессии "Техник" • Внедрение и поддержка компьютерных систем • Технология и инструментальные средства разработки программного обеспечения • Тестирование информационных систем • Проектирование и разработка веб-приложений • Оптимизация веб-приложений • Обеспечение безопасности веб-приложений Требования: • Высшее профессиональное образование • Опыт практической работы в IТ-сфере в организациях соответствующей направленности будет преимуществом • Уверенное владение современными языками программирования (Python, Java, C#, C++, JavaScript/TypeScript и др.) • Знание методологий разработки ПО (Agile/Scrum), систем контроля версий (Git), принципов тестирования и CI/CD • Готовность к классному руководству • Наличие медицинской книжки и справки об отсутствии судимости • Опыт работы на образовательных платформах, в том числе в электронной образовательной среде колледжа, работа в МЭШ • Грамотная речь, коммуникабельность, ответственность Условия: • Работа на территории работодателя • отпуск 56 дней в летнее время • шестидневная рабочая неделя

Обязанности: • Проведение учебной практики в группах 2 курса специальности «Информационные системы и программирование» по направлениям: «Разработка модулей программного обеспечения для компьютерных систем», «Сопровождение и обслуживание программного обеспечения компьютерных систем», «Разработка, администрирование и защита баз данных», «Выполнение работ по профессии рабочего 'Оператор электронно-вычислительных и вычислительных машин» • Обеспечение охраны жизни и здоровья обучающихся во время образовательного процесса • Выполнение правил по охране труда и пожарной безопасности Требования: • Образование, знания и умения в соответствии с Профстандартом • Владение навыками работы в специализированных программах, а также Microsoft Excel, Microsoft Outlook, Microsoft PowerPoint, Microsoft Word, Интернет, электронная почта • Знание истории ОС, архитектуры, диспетчеризации, планирования и взаимодействия процессов ОС, работы с памятью, файловых систем, принципов организации • Установка, настройка и работа в Windows, Linux, Astra Linux; администрирование ОС и управление безопасностью • Наличие сертификатов Microsoft, Python, Astra Linux (или иных Linux дистрибутивов) • Знание модели OSI, принципов работы протоколов TCP и UDP • Знание сетевых протоколов • Медицинская книжка, медицинское освидетельствование психиатр/нарколог, справка об отсутствии судимости Условия: • Работа на территории работодателя • Полный социальный пакет • Отпуск в летнее время

Задачи: — Сбор и анализ данных, проведение feature engineering. — Обучение ML-моделей на табличных данных и их вывод в продакшн. — Автоматизация пайплайнов сбора данных и моделирования. — Улучшение ценообразования в ЖД-направлении, автобусах, электричках и аренде авто с помощью ML. — Подготовка отчетности и презентация итогов работы бизнес-заказчикам. Требования: — Опыт работы в Data Science не менее 3 лет. — Опыт решения задач в ценообразовании, предиктивной аналитике, uplift-моделировании или ранжировании. — Владение стеком: Python, SQL, ClickHouse, S3, FastAPI. — Опыт работы с Feature Store / Feast. Условия: — Гибкий выбор формата работы: офис, гибрид или full remote. — Работа в структурированной команде (DS, MLOps, Lead) с использованием OKR для синхронизации целей. — Регулярные планирования и синки для прозрачности процессов. — Ценности команды: вовлечённость, инициативность и ответственность.