Вакансии

Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Responsibilities: Write robust, scalable, and reusable Golang code according to requirements Cover code with unit tests. Work together with QA engineers to ensure high, consistent code quality Perform code reviews, help teammates with solving technical problems Troubleshoot issues where needed Participate in requirements and implementation discussions Ensure stable operation of the product through monitoring, alerts and metrics Develop applications to work in an isolated infrastructure, complying with security standards Work only with the backend, solve complex  business problems related to fintech Communicate clearly with the team about technical directions and product goals Promote knowledge sharing across the team Requirements: 3+ years of experience with Golang as a primary working language and 5+ of overall development experience Experience with queues Kafka/NSQ/NATS/Rabbit Comfortable working with Docker, Kubernetes, good understanding of CI/CD (we use ArgoCD and Gitlab) Experience with MySQL or similar DBs Experience with event sourcing architecture pattern Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation) Experience with ScrumUnderstanding of software observability tools - Prometheus, Grafana, ELK, Opsgenie Skilled in assessing technical skills and knowledge via code reviews, peer evaluations Good level of spoken and written English and Russian Nice to have: Experience in training and onboarding engineers Experience mentoring junior and mid-level developers, offering coaching, feedback, and support for their career growth. Understanding crypto industry Take part in interviews Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Responsibilities: Write robust, scalable, and reusable Golang code according to requirements Cover code with unit tests. Work together with QA engineers to ensure high, consistent code quality Perform code reviews, help teammates with solving technical problems Troubleshoot issues where needed Participate in requirements and implementation discussions Ensure stable operation of the product through monitoring, alerts and metrics Develop applications to work in an isolated infrastructure, complying with security standards Work only with the backend, solve complex algorithmic problems related to fintech Communicate clearly with the team about technical directions and product goals Promote knowledge sharing across the team Requirements: 3+ years of experience with Golang as a primary working language and 5+ of overall development experience Experience with queues Kafka/NSQ/NATS/ Rabbit Comfortable working with Docker, Kubernetes, good understanding of CI/CD (we use ArgoCD and Gitlab) Experience with MySQL or similar DBs Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation) Experience with Scrum Understanding of software observability tools - Prometheus, Grafana, ELK, Opsgenie Experience in training and onboarding engineers (will be as plus) Skilled in assessing technical skills and knowledge via code reviews, peer evaluations Nice to have: Experience in training and onboarding engineers Experience mentoring junior and mid-level developers, offering coaching, feedback, and support for their career growth. Understanding crypto industry Take part in interviews Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Основные задачи Проектирование и разработка control-plane компонентов платформы на Python/Go: API эндпоинтов, сервисов управления состояниями, планировщиков асинхронных операций. Разработка и поддержка агентов автоматизации жизненного цикла бэкапов PostgreSQL-кластеров: инициирование и конфигурация WAL-архивирования;

-обеспечивать стабильную работу и оптимизацию инфраструктуры 1С:Предприятие 8.3 во всех контурах (продуктивном, тестовом, разработки), включая администрирование MS Windows Server, SQL Server, IIS и автоматизацию через PowerShell. -управлять пулом виртуальных машин на MS Server 2022 и VMWare, поддерживать их конфигурацию и доступность.

• Опыт построения или развития аналитики цифрового продукта.

Location: Europe Our client, Growe, is a leading business advisory and services group in iGaming and Entertainment. Сreators of strategies that work and solutions that scale. Combining strategic vision with hands-on expertise, Growe helps businesses navigate the fast-evolving industry, seize new opportunities, enter new markets, and achieve sustainable growth. Perfect for those who aim to: Design, build, and maintain backend services using .NET (C#); Develop and evolve microservices in a production environment; Support existing functionality and ensure backward compatibility of releases; Work on core domain flows such as accounts, registration, authentication, wallet, and related business capabilities; Participate in task analysis, decomposition, and effort estimation; Deliver completed tasks for testing and collaborate with QA during test phases; Build integrations using asynchronous communication and event-driven patterns; Work with relational databases, transactional flows, and optimize query performance; Identify performance bottlenecks and contribute to system design improvements; Contribute to service observability (logs, metrics, traces, dashboards, monitoring); Manage deployment configurations and manifests in Kubernetes environments; Work in a GitOps setup and participate in deployment and operational ownership; Collaborate with DevOps teams on infrastructure-related changes (including Terraform workflows); Participate in on-call rotation and handle production incidents; Identify technical debt and propose improvements; Perform high-quality code reviews focusing on maintainability, performance, and consistency. Experience you’ll need to bring: 5+ years of commercial backend development experience with C# / .NET (6+), .NET Core / ASP.NET Core; Solid understanding of microservices architecture and distributed systems; Experience with asynchronous communication and event-driven architectures; Experience with message brokers (Kafka or similar); Strong knowledge of relational databases (SQL, transactions, indexing, performance tuning), PostgreSQL will be a plus; Experience with ORM tools (e.g., Entity Framework); Experience writing Unit and Integration tests; Understanding of authentication and authorization (OAuth 2.0, OpenID Connect); Good understanding of software design principles (SOLID, separation of concerns, testability); Understanding of observability and monitoring in production systems; Experience troubleshooting performance and memory issues; English - Upper Intermediate; Experience with AWS, Kubernetes, Terraform will be a plus; Experience with Grafana, Loki, Tempo will be a plus. It's a perfect match if you have those personal features: Good communication skills; Multitasking, quick task execution; Good team player; Responsibility. Our clients offer competitive benefits to support your professional and personal growth, including: Health & Wellness Focus; Global Medical Coverage; Growth Opportunities; Benefits Programs (compensation for the gym/stomatology/psychological service & etc.); Performance-Driven Rewards; Dynamic Work Environment. Apply, and let your growth journey begin.

-Управлять командой: нанимать, растить и менторить команду Senior PHP инженеров. Выстраивать онбординг, проводить 1-on-1, performance reviews и заботиться о долгосрочной мотивации ребят.

Задачи: — Разработка сервисов и инструментов для алертинга и управления инцидентами — Интеграция с системами VictoriaMetrics, Grafana, Kafka/Redis Streams — Интеграция open-source решений с in-house инфраструктурой ВКонтакте — Построение observabilty-платформы — Проектирование API и внутренних сервисов для обмена событиями и метриками — Оптимизация производительности и надёжности разрабатываемых систем — Участие в архитектурных решениях, код-ревью и CI/CD-автоматизации Требования: — От пяти лет коммерческого опыта разработки на Go — Глубокое понимание принципов построения распределённых систем, очередей сообщений, потоковой обработки событий, работы сетей и ОС Linux — Опыт работы с реляционными (PostgreSQL) и нереляционными БД (Redis; ClickHouse будет плюсом) — Навыки построения REST/gPRC API — Опыт написания unit- и интеграционных тестов — Проактивность: умение организовать процесс разработки и предлагать архитектурные улучшения Условия: — Полный рабочий день — Можно удалённо География: Санкт-Петербург, Россия

Изучить текущее состояние облачных сервисов, архитектуры, процессов эксплуатации, поддержки и клиентского опыта. Собирать и структурировать потребности от клиентов, превращая их в портфель продукты и сервисы нашего направления.

Location: Москва Мы – динамичная команда молодых, позитивных профессионалов, работающих в крупнейшем российском банке. Мы занимаемся интереснейшим проектом по созданию новой, современной и очень востребованной аналитической платформы. Мы стремительно развиваемся, а значит, у сотрудника будут все возможности для развития и роста. Мы работаем с современными, наукоемкими технологиями, по гибкой методологии проектов – Agile. Наш процесс создания и развёртывания инновационных программ полностью автоматизирован (Continuous Integration & DevOps). Мы используем самые современные технологии: * Jenkins, Ansible, Groovy * Git (BitBucket), SonaQube, Nexus * Maven, Gradle, NPM * Docker, оркестраторы Kubernetes/OpenShift * Istio * PostgreSQL * Linux SberOS, Ubuntu based. Обязанности * разработка и сопровождение Jenkins Pipeline скриптов и Shared Library (Groovy) * разработка и сопровождение Ansible скриптов, в меньшей степени * сопровождение и развитие процессов автоматизированного конфигурирования и развертывания на тестовые и промышленные среды * автоматизация рутинных задач * администрирование тестовых стендов * навыки работы с генеративными AI-моделями * поддержка внедрения в Пром * умение диагностировать проблемы “потребитель ↔ сеть ↔ приложение”. * опыт работы с DevSecOps инструментами Требования * пыт работы в роли DevOps / SRE / Platform Engineer от года * опыт с OpenShift от 2 лет * понимание CI/CDL/CDP * Jenkins, Ansible * Git (bitbucket), SonaQube, Nexus * Maven/Gradle * Docker, оркестраторы Kubernetes/Openshift * Istio * PostgreSQL * mTLS Будет плюсом: * Hashicorp vault * Linux, bash * Dynatrace, Grafana * Kafka * Ceph * практический опыт использования LLM для решения задач DevOps * настройка и сопровождение систем мониторинга. Условия * ежегодный пересмотр зарплаты, годовая премия * 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 * ипотека выгоднее до 7% для каждого сотрудника * прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Владение Python 3.12+: типизация, dataclasses, контекстные менеджеры. Глубокое знание pytest: фикстуры, хуки, параметризация, scopes, conftest .py.

- Встраивать автоматические проверки безопасности в GitLab CI/CD и разбирать результаты AI-анализа. - Обеспечивать защиту, мониторинг и безопасное развертывание в Kubernetes, PostgreSQL, ELK, Grafana.

Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

-Анализировать требования, техническую документацию и бизнес-логику реализуемых изменений. -Тестировать backend-сервисы и REST API.

✔️3+ years in manual QA of web products, including sites running in product with real users. ✔️Solid knowledge of QA fundamentals: testing processes, methodologies, test documentation, client-server architecture.

Location: Москва В ИТ-команду интегрированного риск-менеджмента нужен DevOps-инженер для развития инженерной платформы продуктов расчёта оценочного и пруденциального резервов, а также кредитного риска RWA. Основной фокус — автоматизация поставки изменений, управление окружениями и конфигурациями, внедрение безопасных инженерных практик и AI-инструментов. Ищем самостоятельного, инициативного специалиста с системным подходом, который умеет взаимодействовать с разработкой, тестированием, архитектурой, информационной безопасностью и сопровождением. Регулярная эксплуатация, обработка пользовательских обращений и контроль регламентных расчётов находятся в зоне ответственности команды сопровождения. Обязанности * развивать общие инструменты и шаблоны поставки изменений для продуктов резервов и RWA, сокращать ручные операции и время подготовки релизов * создавать и совершенствовать CI/CD-пайплайны с автоматизированными проверками качества, безопасности и совместимости изменений приложений и БД * автоматизировать создание окружений и управление конфигурациями * разрабатывать механизмы безопасного развёртывания, отката, запуска и перезапуска расчётных задач; передавать готовые процедуры команде сопровождения * автоматизировать подключение метрик, логов и трассировок, предоставлять сопровождению инструменты диагностики * внедрять согласованные банком AI-инструменты для инженерной автоматизации с проверкой результатов, ограничением полномочий и подтверждением критичных действий человеком * устранять системные причины проблем поставки изменений, участвовать в диагностике в качестве эксперта по DevOps-компонентам и поддерживать техническую документацию. Требования * опыт работы DevOps-инженером от 2 лет; понимание жизненного цикла разработки ПО и управления релизами * опыт создания и настройки CI/CD Job * уверенное владение Groovy, Helm, Ansible, Python * Jenkins Pipeline (Declarative и Scripted) * способность разбираться в существующем коде АС/ФП * понимание основных объектов Kubernetes и их назначения service mesh, istio, control plane и data plane * понимание mTLS и шифрования трафика между сервисами * понимание взаимодействия Deployment ↔ Service ↔ VirtualService ↔ DestinationRule * понимание связи Deployment → ReplicaSet → Pod * уверенные знания OC Linux * опыт настройки мониторинга Prometheus, Grafana, Victoria Metrics * навыки применения AI-ассистентов для подготовки скриптов, конфигураций, тестов и документации с обязательной проверкой результатов и соблюдением требований к защите кода, данных и секретов будет преимуществом * опыт платформенной инженерии: разработка единых шаблонов сервисов и пайплайнов, инструментов самообслуживания и внутренних порталов разработчика * опыт интеграции AI-ассистентов в инженерные процессы с контролем доступа, журналированием действий и проверкой генерируемых изменений * опыт нагрузочного тестирования и оптимизации инфраструктурных ресурсов. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * 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.

Lambda is looking for a Staff Product Manager to define and deliver observability products, telemetry capabilities, and diagnostics for cloud customers and operators.