Задачи:
— Разворачивание новых, поддержка и развитие существующих приложений в Kubernetes;
— Создание пайплайнов CI/CD, поддержка текущих;
— Взаимодействие с командами разработки и тестирования;
— Администрирование кластеров Kubernetes с приложениями в различных средах разработки (dev, test) и продуктовом облаке.
Требования:
— Опыт администрирования ОС Linux (Centos/Ubuntu/Debian) от 5 лет;
— Опыт администрирования и использования систем управления контейнерами - Kubernetes, OpenShift (у нас k8s) от 2 лет;
— Опыт работы с CI/CD - инструментами и настройкой процессов сборки и доставки кода приложений (у нас Gitlab CI);
— Опыт работы с Docker, опыт сборки образов;
— Опыт работы с Helm, Ansible;
— Опыт администрирования и использования инструментов мониторинга (Prometheus, Grafana);
— Понимание принципов работы микросервисных платформ и их компонентов.
Будет плюсом:
— Опыт работы с высоконагруженными микросервисами;
— Знание Python/GoLang.
Условия:
— Реализация проектов федерального масштаба (облако и сеть облачных дата-центров, которым нет аналогов в России) в составе крупного международного промышленного холдинга;
— Оформление по ТК РФ, белая зарплата, уровень вознаграждения обсуждается с успешным кандидатом;
— Современный офис в 10–15 минутах пешком от м. «Улица 1905 года», на территории бизнес-кластера «Трехгорная мануфактура»;
— Гибридный график работы;
— Льготы для аккредитованных ИТ-компаний;
— ДМС после испытательного срока, в том числе для родственников;
— Скидки от компаний-партнеров (BestBenefits, Ингосстрах);
— Компенсация спорта и заботы о здоровье (Фитмост);
— Корпоративный университет, библиотека Alpina Digital;
— Корпоративное питание;
— Мобильная связь;
— Курсы английского языка;
— Программа развития персонала по итогам Performance review;
— Материальная помощь в важных жизненных событиях;
— Отсутствие бюрократии, быстрое принятие решений.
Location: Москва
Managed Inference Platform (MIP) - корпоративная PaaS-платформа для высокопроизводительного инференса классических ML-моделей и больших языковых моделей (LLM), обеспечивающая централизованное управление GPU, эластичность ресурсов, автоматизацию развертывания и доступ к AI-сервисам.
Обязанности
* писать helm-чарты для деплоя компонентов платформы;
* автоматизировать процессы создания и обслуживания кластеров Kubernetes с помощью ansible;
* заниматься интеграцией компонентов платформы с сервисами и системами Банка;
* запускать, тестировать и оптимизировать инференс ML-моделей, в том числе в мульти-нодовых конфигурациях;
* участвовать в сопровождении платформы, поиске и устранении неисправностей, решении проблем пользователей;
* изучать и внедрять новые продукты и технологии для развития платформы.
Требования
* понимаете, как работают контейнеры, можете написать Dockerfile для нового сервиса;
* имеете опыт создания и администрирования кластеров Kubernetes, понимаете принципы работы компонентов кластера;
* умеете работать с основными элементами контейнерной инфраструктуры (container registry, secret management, ingress controller, service mesh, CNI, CSI); имеете опыт написания и отладки сложных helm-чартов и плейбуков ansible;
* понимаете внутреннее устройство Linux, умеете решать проблемы с драйверами, модулями ядра, сетевой подсистемой;
* разбираетесь в основных концепциях машинного обучения, хотя бы в общих чертах представляете, как работает LLM-трансформер, и хотите глубоко погрузиться в изучение этой темы;
* знаете, как работают современные сети и протоколы передачи данных;
* можете читать код на Python; владеете bash на уровне, достаточном для автоматизации рутинных операций
* инструментальное владение AI для анализа, генерации и автоматизации
Условия
* комфортный офис БЦ «Южный Порт» (10 минут пешком от ст. м. Кожуховская),
* ежегодный пересмотр зарплаты, квартальная и годовая премия
* корпоративный спортзал, зоны отдыха
* уникальная система обучения Сбера для профессионального и карьерного развития
* расширенный ДМС и льготное страхование семьи
* гибкий дисконт по ипотеке — всего ⅓ ключевой ставки ЦБ
* подписка Прайм с возможностью совместного пользования на трех близких
* вознаграждение за рекомендацию друзей в команду Сбера
Location: Москва
Наша команда работает над инфраструктурным развитием Сбера. Мы формируем готовые инфраструктурные решения, работаем с системами хранения данных, серверными мощностями, виртуальными машинами и системным ПО для них.
Обязанности
* участвовать в анализе, проработке и реализации архитектуры создаваемых систем
* участвовать в тестировании новых технических решений и технологий
* автоматизировать CI/CD-процессы, выполнять настройку окружения сборочной среды, включая инструменты анализа качества кода, инструменты нагрузочного и деструктивного тестирования
* осуществлять стандартизацию конвейеров CI/CD под различные архитектурные решения команд
* обеспечивать мониторинг и доступность тестовых стендов и инструментов разработки
* автоматизировать операции администрирования и внедрять практики DevOps в процессы сопровождения
* проводить экспертизу внедрения практик DevOps на этапах CI/CD.
Требования
* знания современных архитектур автоматизированных систем
* общие знания по серверному и сетевому оборудованию, знание основ настройки производительности, общие знания в вопросах информационной безопасности
* навыки работы с ITSM-системами учёта обращений и оформления работ, навыки администрирования одной из операционных систем Linux/Unix/MS Windows
* знание систем управления конфигурациями, знание систем сбора и мониторинга логов и метрик OpenSearch, Vector, Grafana, VictoriaMetrics, знание систем развертывания и тиражирования программного обеспечения, знание систем управления версиями кода
* навыки разработки автоматизации задач сборки, тестирования, развертывания и конфигурирования ПО с помощью ansible, terraform, Jenkins, python, bash
* иметь опыт работы с СУБД (PostgreSQL), иметь опыт применения hashicorp vault для хранения секретов
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
* комфортный современный офис по адресу: 2-й Южнопортовый проезд,12А, к1, рядом с м. Кожуховская
* возможность перейти на гибридный формат работыпосле адаптации
* 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
* 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.
Location: US, Remote
Workplace: remote
15Five is the AI-powered performance management platform built for business impact. 15Five’s AI-powered all-in-one people management system is easy to use, delivers effortless insights, and enables managers to lead with impact so that companies and their people can thrive. Within the flow of work, HR leaders are empowered with data-driven insights and recommendations while managers are transformed into change-makers, accelerating engagement, performance, and retention. 15Five combines generative AI, custom analytics, and human-centered principles within a complete platform, including 360° performance reviews, engagement surveys, goal tracking, manager coaching and training, and ongoing feedback tools like guided 1-on-1s and check-ins.
A career at 15Five is the chance to have high impact in a fast paced, remote startup environment that operates with focus, urgency, and accountability. Every role and every hire meaningfully impacts our trajectory.
We’re a high-performance, high-purpose team that gives you the chance to Build the Future of Work. We run on High Standards and High Support — holding a high bar for results, ownership, clarity, and disciplined execution, while investing in manager enablement, skill development, and whole-person care. We are committed to a No B.S. environment, meaning we anchor ourselves in truth, course-correct in real time, and expect people to lean into direct conversations. We are focused on ensuring every 15Fiver can Work in the Future and that starts with proactively using AI across all aspects of your role to increase leverage, speed, and impact.
If you're energized by a fast pace, high standards, and high accountability for yourself and others, you'll thrive here and we encourage you to apply.
Role & Responsibilities
Cloud infrastructure:
design, build, secure and troubleshoot AWS and EKS/Kubernetes, including provisioning, scaling, capacity planning, upgrades and cost optimization with Terraform and Helm.
Architecture:
provide design input on infrastructure and systems for security, scalability, reliability and performance.
Databases:
run PostgreSQL upgrades, backups, restore tests and tuning.
CI/CD and release engineering:
build and improve the pipelines that ship code to production.
Reliability and incidents:
own Datadog observability and alerting, take part in the on-call rotation (including scheduled after-hours coverage), respond to incidents and lead post-incident reviews.
Disaster recovery:
maintain and test backups, failover and DR plans.
Security and compliance:
manage access and secret rotation, patch vulnerabilities, configure Cloudflare network/VPN and email and domain security (MTA-STS), and support audits.
AI platform and governance:
deploy and secure MCP servers, LLM integrations and agent frameworks; build AI workflow automations; manage prompts, skills and evals in our Prompt Test Manager; enforce least-privilege access; track AI usage and spend; help shape AI policy; and administer AI tools across the company.
Configuration management:
maintain Ansible for user access and server configuration, and automate repeatable work.
Cross-functional support:
resolve requests from engineering and business teams, including internal systems, vendor integrations and access provisioning.
Projects and documentation:
scope and deliver infrastructure, operations and AI projects, and keep runbooks and Guru current.
What Success Looks Like
3 months:
onboarded, on the on-call rotation, handling cross-team requests and reviewing infrastructure changes.
6 months:
running incidents end to end, leading a DR or restore test, and owning AI platform operations.
12 months:
independently delivering major reliability, security or cost projects and helping guide DevOps direction.
Experience Required
5+ years in DevOps, SRE or infrastructure engineering for Senior (3+ years for DevOps Engineer II).
Deep hands-on experience with AWS and Linux, and with running production Kubernetes (EKS preferred).
Infrastructure as code with Terraform (Terragrunt a plus) and Helm.
Experience building and maintaining CI/CD pipelines.
Configuration management with Ansible.
Strong scripting in Python and/or Bash, and Git-based workflows.
Monitoring and alerting with Datadog or similar tools, plus hands-on on-call and incident response experience.
PostgreSQL administration: upgrades, backups, restores and performance tuning.
Practical security operations: IAM and access management, secrets, patching and network configuration.
Clear written and verbal communication with technical and non-technical people.
Comfort owning projects end to end on a small team.
Additional Nice to Haves:
Experience deploying or securing AI tooling: MCP servers, LLM APIs, agent frameworks or prompt evaluation pipelines.
Experience with AI governance: access controls, usage and cost tracking, or acceptable-use policies.
Cloudflare (Zero Trust/VPN, DNS) and email security (SPF, DKIM, DMARC, MTA-STS).
Experience supporting SOC 2 or ISO 27001 audits.
Disaster recovery testing and multi-region resilience.
Familiarity with Django or other Python web applications.
Experience supporting distributed teams across US and EU time zones.
Tech Stack
Cloud and containers:
AWS (EKS, RDS/PostgreSQL), Kubernetes, Docker
Infrastructure as code and configuration:
Terraform/Terragrunt, Helm/Helmfile, Ansible
Delivery:
CI/CD pipelines, Git
Observability:
Datadog, VictorOps on-call paging
Network and security:
Cloudflare, DNS, MTA-STS
AI:
MCP servers, LLM integrations, Prompt Test Manager
Collaboration:
Jira, Slack, Google Workspace, Guru
Schedule & On-Call Requirements
This is a full-time role that works Monday through Friday during regular business hours (flexible),
plus a shared weekly on-call rotation with scheduled after-hours coverage.
Occasional early-morning or evening meetings support US and EU teammates is expected.
We offer amazing benefits that align with our values and culture at 15Five.
Your Health & Wellbeing
Medical, dental, vision with 15Five cost subsidy
Employer paid Short-Term, Long-Term Disability, and Term LifeFamily planning support with enhanced medical plans and consultation programs
Inclusive Benefits Stipend
Access to mental health and wellness resources
Your Life
Flexible Time Off Program
Generous paid leave for new parents
Military leave
Paid Company Holidays
Sabbatical Program
Your Future
401K with 4% Matching after 6 months
Your Work Life
Remote work
Work with experts in leadership, culture, and personal development
For more information see:
Our Mission, Vision, & Values -https://www.15five.com/about
Our People and Culture -https://www.15five.com/about/careers
Our Personal & Professional Development Resources -https://www.15five.com/resources/content-library
Reading over the role description and feeling like you don’t check every box? That’s okay; if you think you have what it takes but don’t necessarily meet all the criteria, please apply—you could be exactly who we are looking for!
15Five follows equitable hiring practices. Our compensation programs are designed to attract, motivate, and retain talented employees who are highly engaged, high performing, and have an exceptional impact on the business and our customers.
The salary range displayed on each job posting reflects the target for new hire salaries for the role across all US locations. Within the range, individual pay is determined by budget allocated for the role and additional factors, including job-related competencies and skills, experience, and relevant education or training. Please note that the compensation details listed in US job postings do not reflect added total compensation including equity or benefits.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
Annual Base Pay Range, US Full-Time Senior DevOps Engineer.
This role's Total Rewards package includes participation in an annual discretionary company bonus program, equity awards, and comprehensive benefit and wellbeing offerings.
Location: Remote (Worldwide)
About Logos (λ)
Logos (λ)
is a movement of technologists, creatives, strategists, and activists working together to build a sovereign, people-owned technology stack that revitalises civil society and protects digital liberties at scale.
This position is within the IFT Technical Services (IFT-TS) Distributed Systems Testing (DST) Team, a team that primarily supports Logos, while also contributing to other IFT projects.
The role
We are seeking an experienced Distributed Systems Evaluation Engineer to join the Institute of Free Technology - Technical Services, on the Distributed Systems Testing (IFT-TS DST) team. This role focuses on rigorously assessing the performance and reliability of IFT projects at scale, where Logos (λ) is one of them.
Logos (λ) technology stack is composed of 3 main components:
Logos (λ) Blockchain
: Advanced privacy for a new era of decentralised applications and social institutions.
Logos (λ) Messaging
: Private peer‑to‑peer communication that resists surveillance and censorship.
Logos (λ) Storage
: Secure decentralised storage enabling fully decentralised apps and file sharing.
We are looking for a talented and enthusiastic DevOps Engineer to join our Distributed Systems Testing (DST) team.
You’ll be responsible for designing and executing comprehensive evaluation strategies, leveraging both large-scale lab deployments and protocol behavior modeling scripts. Your expertise will be crucial in analyzing these complex distributed systems, automating intricate test scenarios, and providing in-depth insights into system behaviors.
Working closely with cross-functional teams, you’ll troubleshoot complex issues and translate technical data into actionable recommendations. Proficiency in containerization, cloud technologies, and distributed systems principles is essential.
Key responsibilities
Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies.
Continuously improve cluster scalability and resource utilization, enabling increasingly complex deployments and experiments.
Set up, maintain, and optimize supporting infrastructure such as monitoring, logging, and observability stacks (Grafana, Prometheus, Loki, etc.).
Collaborate with DST researchers and engineers to streamline experimentation workflows and make analysis easier and more reproducible.
Automate infrastructure and deployment workflows to increase reliability and reduce overhead.
Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking.
Identify, reproduce, and debug complex issues in distributed systems, working closely with Logos development teams.
You ideally will have
Strong experience with Kubernetes and container orchestration in production or research environments.
Hands-on experience with libp2p/gossipsub
Solid understanding of cloud infrastructure, Linux systems, and networking (especially relevant to distributed/P2P systems).
Familiarity with monitoring and logging tools (Grafana, Prometheus, VictoriaLogs, etc.).
Experience with infrastructure as code (Terraform, Ansible, Helm, etc.).
Proficiency in at least one scripting/programming language (ideally Python).
Interest in or experience with distributed systems, P2P networks, or blockchain technologies.
Experience with networks and systems programming.
Excellent written and conversational communication skills.
Alignment with our core values and principles.
Bonus points
Hands-on experience with projects in the Logos collective.
Background in performance benchmarking, scalability testing, or systems research.
Contributions to open source projects.
Experience working for an open-source organization.
Interview Process
Interview with our POps team
Interview with team member from the IFT-TS DST team
Pair programming & discussion of results
Interview with IFT-TS team lead
Location: Remote (Worldwide)
Logos is a movement supporting the development of the decentralised web. Logos technologies lay the foundations for a freer internet upon which communities can evolve into network states. Each protocol in the Logos stack seeks to empower its users while upholding civil liberties and fundamental freedoms.
About Logos (λ)
Logos (λ)
is a movement of technologists, creatives, strategists, and activists working together to build a sovereign, people-owned technology stack that revitalises civil society and protects digital liberties at scale.
This position is within the IFT Technical Services (IFT-TS) Distributed Systems Testing (DST) Team, a team that primarily supports Logos, while also contributing to other IFT projects.
The role
We are seeking an experienced Distributed Systems Evaluation Engineer to join the Institute of Free Technology - Technical Services, on the Distributed Systems Testing (IFT-TS DST) team. This role focuses on rigorously assessing the performance and reliability of IFT projects at scale, where Logos (λ) is one of them.
Logos (λ) technology stack is composed of 3 main components:
Logos (λ) Blockchain
: Advanced privacy for a new era of decentralised applications and social institutions.
Logos (λ) Messaging
: Private peer‑to‑peer communication that resists surveillance and censorship.
Logos (λ) Storage
: Secure decentralised storage enabling fully decentralised apps and file sharing.
We are looking for a talented and enthusiastic DevOps Engineer to join our Distributed Systems Testing (DST) team.
You’ll be responsible for designing and executing comprehensive evaluation strategies, leveraging both large-scale lab deployments and protocol behavior modeling scripts. Your expertise will be crucial in analyzing these complex distributed systems, automating intricate test scenarios, and providing in-depth insights into system behaviors.
Working closely with cross-functional teams, you’ll troubleshoot complex issues and translate technical data into actionable recommendations. Proficiency in containerization, cloud technologies, and distributed systems principles is essential.
Key responsibilities
Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies.
Continuously improve cluster scalability and resource utilization, enabling increasingly complex deployments and experiments.
Set up, maintain, and optimize supporting infrastructure such as monitoring, logging, and observability stacks (Grafana, Prometheus, Loki, etc.).
Collaborate with DST researchers and engineers to streamline experimentation workflows and make analysis easier and more reproducible.
Automate infrastructure and deployment workflows to increase reliability and reduce overhead.
Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking.
Identify, reproduce, and debug complex issues in distributed systems, working closely with Logos development teams.
You ideally will have
Strong experience with Kubernetes and container orchestration in production or research environments.
Hands-on experience with libp2p/gossipsub
Solid understanding of cloud infrastructure, Linux systems, and networking (especially relevant to distributed/P2P systems).
Familiarity with monitoring and logging tools (Grafana, Prometheus, VictoriaLogs, etc.).
Experience with infrastructure as code (Terraform, Ansible, Helm, etc.).
Proficiency in at least one scripting/programming language (ideally Python).
Interest in or experience with distributed systems, P2P networks, or blockchain technologies.
Experience with networks and systems programming.
Excellent written and conversational communication skills.
Alignment with our core values and principles.
Bonus points
Hands-on experience with projects in the Logos collective.
Background in performance benchmarking, scalability testing, or systems research.
Contributions to open source projects.
Experience working for an open-source organization.
Interview Process
Interview with our POps team
Interview with team member from the IFT-TS DST team
Pair programming & discussion of results
Interview with IFT-TS team lead
Location: Limassol, Cyprus
We are looking for a hands-on DevOps Lead to own our infrastructure architecture, reliability and security, while building an agentic Site Reliability Engineering (SRE) practice.
You will lead two DevOps engineers and design secure, scalable cloud environments across markets and licences. A key part of your role will be defining how AI agents support production operations, from incident triage and investigation to controlled remediation, with clear permissions, approval workflows and human accountability.
Key Responsibilities:
Infrastructure Architecture & Reliability
Own the design and evolution of our AWS infrastructure, Kubernetes environments and Terraform infrastructure as code.
Design environments for individual markets and licences, ensuring appropriate isolation, resilience and regulatory alignment.
Define service-level objectives (SLOs), monitoring standards and reliability improvements.
Own incident management, escalation procedures, on-call practices and post-incident reviews.
Agentic SRE & Operational Automation
Build the agentic SRE operating model, defining what agents can triage, investigate and remediate autonomously, and when human approval is required.
Own the infrastructure Model Context Protocol (MCP) layer, including tool access, permissions, guardrails and audit trails.
Establish agents as first responders within defined boundaries, with people accountable for critical decisions.
Equip Production Operations with agent tooling that reduces manual monitoring and repetitive operational work.
Validate agent actions and improve automation through production feedback, measurable outcomes and safe rollback mechanisms.
Security, Compliance & Cost Management:
Embed security and least-privilege access into infrastructure and agent workflows.
Define controls that limit the impact of automated actions, including approval gates, execution boundaries and traceability.
Support compliance requirements, licence audits and infrastructure security reviews.
Own cloud cost visibility and optimisation, including LLM usage and token spend.
Team Leadership:
Lead, mentor and develop two DevOps engineers.
Set technical priorities, engineering standards and delivery expectations.
Partner with Engineering, Production Operations and Security to balance delivery speed, reliability and compliance.
Must-Have Experience:
6+ years of experience in DevOps or SRE, including 2+ years in a technical leadership role.
Strong hands-on experience operating AWS, Kubernetes and Terraform at scale.
Proven ownership of production reliability, incident management and on-call processes.
Demonstrated experience running agentic operations in production, such as MCP servers, AI-driven incident triage or automated remediation.
Ability to design guardrails for AI agents in regulated environments, including approval workflows, audit trails and controls that limit the scope and impact of agent actions.
Experience leading engineers while remaining actively involved in architecture and implementation.
Nice to Have:
Experience in iGaming or other regulated environments, including ISO 27001 and licence audits.
Experience building an internal AI operations platform or Slack-based ChatOps with agents.
Familiarity with evaluation frameworks and observability for LLM agents.
Experience with OpenTelemetry.
By joining us, you can expect:
A unique opportunity to build a career in a global, fast-growing company.
An attractive remuneration package, based on qualifications and experience.
Continuous learning and development opportunities.
Company-wide events and team activities, fostering a fun and supportive work environment.
Wolt monthly allowance.
Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages.
Medical and wellness app, supporting both mental and physical well-being!
Apply now and let’s achieve success together
Apply at https://aloplay.bamboohr.com/careers/119?source=aWQ9MTg%3D
to become a member of our amazing team!
We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.
Знание целевых ОС – Windows, Linux (Debian-based) – на уровне администрирования, уверенное владение основными командами терминала, настройка сетей, работа с файловыми системами и процессами.
- обеспечивать стабильную работу инфраструктуры данных и сопровождать существующие решения. - администрировать Linux-системы, разбираться в технических проблемах и устранять инциденты.
Тесно взаимодействовать с командами разработки и инфраструктуры для обеспечения бесперебойного CI/CD-цикла; Разрабатывать, поддерживать и оптимизировать CI/CD-пайплайны;
Задачи:
— Поддерживать стабильную работу Kubernetes-кластера и обеспечивать высокую доступность сервисов
— Проектировать и внедрять решения по управлению инфраструктурой (IaaC: Ansible, Terraform)
— Разрабатывать и поддерживать CI/CD процессы
— Управлять жизненным циклом приложений в Kubernetes (установка, обновление, масштабирование)
— Обеспечивать безопасность инфраструктуры и сервисов
— Проводить диагностику и устранять инциденты
— Работать над улучшением производительности и оптимизацией ресурсов
— Настраивать системы мониторинга и логирования
— Интегрироваться с облачной инфраструктурой (создание, удаление, изменение ресурсов)
Требования:
— Понимание CI/CD, умение настраивать пайплайны в Jenkins, GitLab CI (или GitHub Actions)
— Уверенная работа с Git (Git Flow)
— Создание и управление контейнерами (Docker, Docker Compose)
— Знание Linux (bash-скрипты, администрирование)
— Понимание основ сетей: TCP/IP, DNS, HTTP/HTTPS, VPN, балансировка нагрузки
— Работа по принципу Infrastructure as a Code
— Администрирование Kubernetes: разворачивание кластеров (kubespray, kubeadm, вручную), знание компонентов (etcd, kube-apiserver, kubelet, CNI, ingress-контроллеры), устранение проблем
— Управление инфраструктурой через Terraform
— Автоматизация конфигурации серверов через Ansible
— Установка приложений в Kubernetes через Helm
— Опыт работы с облачными провайдерами (AWS, GCP, Azure, Cloud.ru)
— Настройка систем мониторинга и логирования (Prometheus, Grafana, Loki, ELK)
Будет плюсом:
— Опыт работы с VictoriaMetrics
— Глубокие знания CNI и ingress-контроллеров
Условия:
— Конкурентная зарплата с годовой премией (обсуждается на собеседовании)
— Официальное оформление в российскую ИТ-компанию с аккредитацией
— Бонусы: ДМС, бесплатная подписка «СберПрайм+», скидки на изучение английского, бесплатный фитнес в офисе или скидки на абонементы, скидки от партнёров Сбера, корпоративная пенсионная программа
— Льготная ипотека в Сбере
— Удобный формат работы: удалённо или в гибридном формате, «короткая» пятница
Обязанности:
— Взаимодействие с командами разработки
— Коммуникация со смежными командами по продукту.
— Разработка и оптимизация процессов CI/CD на базе GitLab;
— Развертывание и поддержка Kubernetes
Требования:
— Опыт работы DevOps от 3-х лет
— Опыт работы с мониторингом (Prometheus, Grafana)
— Опыт работы с CI/CD стеком ( Github, Ansible);
— Знание Docker,Kubernetes;
— Системный подход, отзывчивость, навыки в коммуникации
— Способность читать техническую документацию на английском языке
— Опыт работы с базами данных блокчейна - будет плюсом
Условия:
— Fulltime-работа. Возможен гибкий график
— Конкурентная ЗП 3600 до 4100 USD, подробнее обговорим лично
— Работа в одной из топовых команд в своей сфере
— Возможность работы на удаленке
— Курсы по повышению квалификации от компании
УдалённоmiddleГеография найма не уточнена
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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