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-Design, build, and operate backend infrastructure for new DeFi protocols and vault products. -Build vault management, curation, and constraint-based allocation systems.
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Подготовка деплой-пакетов и конфигураций Создание и поддержка Helm-чартов, Kubernetes-манифестов, стандартизация конфигураций. Управление секретами, сертификатами и переменными окружения.
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Коммерческий опыт работы DevOps Engineer — от 4 лет; Сильные знания Linux и системного администрирования;
3 000 – 3 000 $
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Australian Payments Plus (AP+) is seeking a Senior Product Manager to oversee critical components of Australia's payment infrastructure, including eftpos, BPAY, NPP, and the ConnectID secure identity service. The role is based in Sydney and involves managing product strategies and delivery for these key payment systems. Candidates should have extensive experience in product management within the payments or financial technology sectors, demonstrating strong leadership and stakeholder engagement skills. The position requires a deep understanding of payment ecosystems and the ability to drive innovation and operational excellence in a complex, regulated environment.
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— Develop and maintain the current infrastructure and CI/CD pipelines using GitLab CI and ArgoCD; — Support application deployments to testing and production environments;
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The role of Business Development Lead for Ecosystem & Partnerships at onRails involves driving the growth and expansion of the asset infrastructure within the Canton ecosystem. The position is fully remote and focuses on establishing and nurturing strategic partnerships to integrate assets into the platform. Candidates are expected to have experience in business development, a strong understanding of blockchain ecosystems, and the ability to collaborate across teams to enhance the asset infrastructure. Responsibilities include identifying new partnership opportunities, managing relationships, and contributing to the overall ecosystem strategy to support onRails' mission of bringing assets to Canton.
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Responsibilities AWS Security: Own and improve security across Phantom’s multi-account AWS environment, including IAM, Identity Center, networking, compute, storage, secrets, logging, and organization-level guardrails. Identity and Access: Design least-privilege access models for engineers, services, and automation.
200 000 – 250 000 $
Nebius is an international cloud technology company that is fully focused on infrastructure for artificial intelligence. Work format: On-site (Israel) or remote work (Europe, United Kingdom).
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-Build and deploy security tooling across endpoint management, supply-chain security, infrastructure, and application layers. -Identify and remediate security gaps across Tempo's production systems and development pipelines.
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Проектирование, развёртывание и поддержка инфраструктуры для микросервисных приложений (on‑prem и/или облако); Построение и развитие CI/CD-процессов (от сборки до доставки в production);
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About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. It offers an advanced enterprise search evolving into a full-scale Work AI ecosystem with intelligent Search, AI Assistant, and scalable AI agents on a secure, open platform. It supports over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, enabling organizations to govern, scale, and customize AI without vendor lock-in or costly implementation cycles. Glean redefines how enterprises find, use, and act on knowledge through its Enterprise Graph and Personal Knowledge Graph, delivering personalized, context-aware responses. Its AI agents automate work across teams by accessing broad data sources, resulting in measurable business impact such as faster onboarding, increased productivity, and smarter decisions. Recognized by Fast Company, CNBC, Bloomberg, Forbes, and Gartner, Glean serves customers across 50+ industries with 1,000+ employees in 25+ countries, integrating with platforms like Microsoft Teams, Zoom, ServiceNow, Zendesk, and GitHub. About the Role: Glean seeks an Enterprise Account Executive to drive new business and expand relationships within large enterprise accounts. Responsibilities include landing and managing multi-million dollar global accounts using Glean’s AI technology and knowledge graph to deliver business outcomes. You will: — Source and close new logos within a territory — Navigate complex organizations to identify executive sponsors and champions — Understand customer business objectives and perform value-driven sales cycles — Collaborate internally to advance deals and ensure customer success — Consistently deliver ARR revenue targets using a metric-based approach — Develop and execute sales strategies to generate pipeline and predictable bookings — Provide timely input to corporate functions — Create ROI and business justification reports based on data — Run tight POCs based on business success criteria About you: — 6+ years of closing experience in sales with a top performer track record — Ability to learn, pitch, and demonstrate a highly technical product in a fast-changing environment — Proven success closing complex deals and selling into complex organizations — Experience uncovering greenfield opportunities and building new territories — Experience building relationships and selling face-to-face to C-level executives — Knowledge of best-of-breed software, technical understanding of integrations, APIs, infrastructure management, security, and analytics — Experience selling technical SaaS and cloud-based software solutions — Basic understanding of search infrastructure is a plus — Experience working with multiple teammates including SEs, BDRs, PMs, Executives, and Engineers — Familiarity with target account selling, solution selling, and methodologies like MEDDIC and Challenger is a plus Location: This role is remote but requires the candidate to be based in Chicago. Compensation and Benefits: OTE range is $250,000 - $300,000 annually, determined by location, level, knowledge, skills, and experience. Some roles may be eligible for variable compensation, equity, and benefits. Benefits include competitive compensation, Medical, Vision, Dental coverage, generous time-off, 401k plan contributions, home office improvement stipend, annual education and wellness stipends, regular company events, and daily healthy lunches. Diversity and Inclusion: Glean is committed to an inclusive and diverse company, not discriminating based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. AI-First Mindset: AI fluency is core to Glean’s work culture. The interview process includes an AI-focused exercise or discussion to assess candidates' approach to AI integration in their role. Global Data Privacy Notice: Applicants agree to data processing as per Glean’s Privacy Policy and Applicant Arbitration Agreement by submitting their application.
Задачи: — проектирование, реализация и оптимизация масштабируемых CI/CD-систем для нескольких команд разработчиков — автоматизация процессов разработки и управления инфраструктурой с использованием Python — применение подходов Infrastructure-as-Code, поддержка стандарта и контроль качества инфраструктурного кода — развитие облачных решений и управление контейнерами с Kubernetes, Helm и операторами — анализ корневых причин сбоев (RCA), обеспечение высокой доступности и надежности систем — наставничество коллег и передача экспертизы внутри команды Требования: — опыт работы DevOps-инженером или в смежных областях свыше 6 лет — глубокие знания Python и владение принципами ООП — продвинутые навыки настройки и эксплуатации CI/CD-конвейеров (GitLab CI, и др.) — свободная работа с операционными системами семейства Linux (Ubuntu, CentOS) и Bash-скриптами — уверенное использование практик Infrastructure as Code (Terraform, Ansible) — опыт работы с облачной инфраструктурой и оркестрацией контейнеров — практический опыт решения инженерных задач с LLM-агентами, настройка harness, написание собственных скиллов Дополнительные преимущества: — владение системами мониторинга и аналитики (Prometheus, Grafana, ELK Stack) — способность разрабатывать архитектуру программного обеспечения — опыт внедрения LLM-агентов и RAG в процессы разработки продукта, контроль качества и CI — высокий уровень владения английским языком (Upper Intermediate+) Условия: — комфортный современный офис в Москве - м. Кутузовская, либо Нижний Новгород - Тургенева 30. — ежегодный пересмотр зарплаты, годовой бонус — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера — корпоративная пенсионная программа.
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Anthropic Fellows Program overview: The program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on projects aligned with Anthropic's research priorities, aiming to produce a public output like a paper submission. Multiple cohorts run each year with rolling application reviews. What to expect: — 4 months of full-time research — Direct mentorship from Anthropic researchers — Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country — Funding for compute (~$15k/month) and other research expenses Interview process: Includes initial application and reference check, assessments and interviews, and a research discussion. Compensation: Expected base stipend is 3,850 USD / 2,310 GBP / 4,300 CAD per week for 40 hours per week over 4 months, with possible extension. The Anthropic Institute Fellows (Economics & Policy): Mentors and research areas include Economics (Maxim Massenkoff, Peter McCrory) and Policy, Security, and Society (Jack Clark, Marina Favaro, Jim Baker). Projects may include: — Designing and conducting empirical research on AI's economic effects using external data sources — Developing new methodological approaches for studying AI's impact on labor markets, future of work, and society — Analyzing offense–defense balance for AI-enabled cyber and bio capabilities as models scale — Measuring model performance increases with custom harnesses — Identifying market-driven mechanisms to improve societal resilience to AI threats — Identifying AI R&D metrics as early warning signals for recursive self-improvement Candidate criteria: — Interest in economics or policy research; prior experience is a plus but not required — Adaptable and collaborative, able to take direction and contribute to team priorities — Skilled at writing and communicating results, including null or unexpected findings — Passionate about translating research insights into actionable recommendations for AI systems and policy Good fit if: — Motivated to ensure AI is safe and beneficial for society — Interested in transitioning into AI research and possibly a full-time role at Anthropic — Strong track record of empirical research — Thrives in fast-paced, collaborative environments — Can implement ideas quickly and communicate clearly Requirements: — Fluent in Python programming — Available full-time for the Fellows program Logistics: — Must have work authorization and be located in the US, UK, or Canada during the program — Workspace available in San Francisco; remote fellows accepted in UK, US, or Canada — No visa sponsorship available; candidates must have or obtain full-time work authorization independently — Program duration is 4 months full-time; partial commitments considered case-by-case Additional notes: — The program encourages applications from underrepresented groups and those who may doubt their qualifications. — Anthropic is a public benefit corporation headquartered in San Francisco offering competitive compensation, benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. — Candidates should be cautious of scams and only trust communications from @anthropic.com email addresses.
Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.
В роли Senior DevOPS / SRE инженера предстоит заниматься управлением и оптимизацией облачных платформ, автоматизацией CI/CD и GitOps пайплайнов, а также внедрением Infrastructure as Code с помощью инструментов Ansible, Terraform и Pulumi. Работа включает поддержку контейнеризированных сред на базе Docker, Docker Swarm и Kubernetes, а также обеспечение надежной инфраструктуры для BI-сервисов и data-driven приложений, таких как ClickHouse, SQL, Airflow, Tableau и Superset. Взаимодействие с командами разработки и BI направлено на повышение стабильности развертывания и эффективности операций. Требуется уверенное владение одной из облачных платформ, опыт построения масштабируемой IT-инфраструктуры, навыки администрирования Linux-серверов, понимание сетевой модели OSI и принципов информационной безопасности. Опыт работы с инфраструктурой для Business Intelligence и data-related решений будет преимуществом. Работа предполагает офисный формат в Минске или Лимассоле с зарплатой от 4000 до 5000 USD.
4 000 – 5 000 $
Ищем сильного DevOps-инженера, который будет отвечать за инфраструктуру Orion: облачные и on-premise развёртывания, стабильность сервисов, CI/CD, мониторинг, безопасность и поддержку высоконагруженных AI-видеоаналитических систем. В работе будут Docker, PostgreSQL, RabbitMQ, GPU-серверы, VPN, видеопотоки и production-окружения клиентов. Обязательные требования: — Опыт DevOps / SRE / Infrastructure Engineer от 3 лет. — Уверенное администрирование Linux: troubleshooting, networking, systemd, package management. — Сети: TCP/IP, DNS, load balancing, firewall, VPN, reverse proxy; умение диагностировать потери пакетов, пропускную способность и узкие места. — Практический опыт с AWS, GCP, Azure или Yandex Cloud. — Docker: Dockerfile, multi-stage builds, docker-compose, оптимизация и безопасность образов. — Terraform и Ansible. — Prometheus, Grafana, логирование и алертинг. — OpenTelemetry: collectors и pipeline traces / metrics / logs. — PostgreSQL + Patroni: репликация, failover, backup, performance tuning. — RabbitMQ: очереди, exchanges, кластеризация, мониторинг. — Nginx: reverse proxy, SSL/TLS, load balancing, rate limiting, caching. — GitLab CI/CD. — Keycloak, FreeIPA и HashiCorp Vault. Будет плюсом: — WireGuard или Amnezia VPN. — NVIDIA GPU: драйверы, CUDA, мониторинг и контейнеризация. — Kubernetes, Helm, Ingress, operators и troubleshooting. — Bash/Python-скрипты. — Security best practices: least privilege, CIS benchmarks, secrets rotation. — Опыт high-load и high-availability систем. — Умение писать небольшие инфраструктурные утилиты с использованием AI-агентов.
2 000 – 3 000 $
Компания Centicore занимается продуктовой разработкой проектов Заказчиков под ключ. Вакансия Senior DevOps с удалённым форматом работы (РФ) и зарплатой 300 000-400 000 рублей на руки. Требования: — Опыт работы от 4-5 лет в эксплуатации высоконагруженных распределённых ИТ-систем. — Отличные знания Kubernetes. — Практический опыт настройки сетевых фабрик и Service Mesh (например, Istio, Linkerd). — Опыт развертывания, оптимизации и масштабирования open-source компонентов Observability: сборщики и CDC (Vector, Debezium, OpenTelemetry Collector). — Опыт работы с брокерами Apache Kafka (настройка кластеров, тюнинг партиций, управление квотами, обеспечение отказоустойчивости). — Навыки администрирования, горизонтального масштабирования и резервного копирования баз данных (реляционных и аналитических/временных рядов): VictoriaMetrics, ClickHouse, Elasticsearch. — Уверенное владение инструментами Infrastructure as Code (Terraform / OpenTofu, Ansible). — Опыт построения CI/CD пайплайнов (GitLab CI, ArgoCD). — Уверенное владение Bash/Shell. — Хорошие навыки автоматизации рутинных задач на Python или Go. Условия: — Удалённый формат работы в IT аккредитованной компании. — Длительный проект. — Оплачиваемый отпуск 28 календарных дней в год и оплачиваемые больничные. — Предоставление техники (MAC, Windows). — ДМС со стоматологией. — Компенсация хобби/спортзала/английского языка. — Компенсация профессионального обучения. — Возможность участия во внутренних программах компании и активностях, например, в реферальной программе «приведи друга». — Онлайн и оффлайн корпоративные мероприятия (йога, шахматы, покер, квиз, марафон, CS2 и др.). — Программа лояльности Сентибонусы за проявление активностей, стаж работы и др.. — Оформление по ТК.
300 000 – 400 000 ₽
Задачи: — развивать и оптимизировать CI/CD на базе GitLab; — проектировать, поддерживать и масштабировать облачную инфраструктуру; — переводить инфраструктуру в Terraform + Terragrunt и развивать Infrastructure as Code; — создавать и поддерживать Helm-чарты; — выстраивать CD в Kubernetes по принципам GitOps с использованием ArgoCD; — автоматизировать рутинные процессы и улучшать взаимодействие разработки и инфраструктуры; — участвовать в развитии архитектуры и повышении стабильности инфраструктуры; — искать узкие места, предлагать и реализовывать собственные технические решения. Стек: GitLab CI/CD, Kubernetes, Docker, Terraform, Terragrunt, Ansible, Helm, ArgoCD, Yandex Cloud, Linux, Nginx. Ожидаем: — 5+ лет опыта в DevOps / SRE / администрировании облачной инфраструктуры; — уверенное владение Kubernetes, Docker и Terraform; — практический опыт работы с Yandex Cloud, Ansible, Terragrunt, Helm и ArgoCD; — глубокое понимание CI/CD и современных подходов к автоматизации деплоя; — опыт настройки и оптимизации Nginx; — понимание принципов Infrastructure as Code и GitOps; — способность самостоятельно разбираться в сложных инфраструктурных задачах и доводить решения до результата. Условия: — официальное оформление по ТК РФ с первого дня; — полностью белая зарплата, выплаты 2 раза в месяц; — оплачиваемые отпуск и больничные; — современный офис в 10 минутах от м. Балтийская; — бесплатные напитки и сладости; — оплачиваемые парковочные места; — массажное кресло и PlayStation в офисе; — отсутствие дресс-кода.
300 000 – 400 000 ₽
250 000 – 300 000 $
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Зарплата не указана