Вакансии

Focus on infrastructure development, CI/CD processes, and high-load service maintenance.

The role involves joining an international project to develop, manage, and automate Azure cloud infrastructure supporting a critical SAP production environment. Key duties include designing and maintaining Infrastructure as Code (IaC) solutions, optimizing CI/CD pipelines with Azure DevOps or GitHub, and managing Azure IaaS and PaaS services such as Virtual Machines, Storage Accounts, Key Vault, AKS, Databricks, and Application Gateway. The engineer will handle containerized applications and Kubernetes clusters, automate infrastructure using Terraform, PowerShell, Shell scripting, YAML, and Python, and enforce automated security controls for IaC. Responsibilities also cover configuring monitoring, logging, and alerting systems to ensure infrastructure reliability, independently resolving incidents and performance issues, and collaborating with cloud engineering and DevOps teams to maintain a secure and efficient SAP environment. Candidates must have strong practical experience with Azure cloud services, IaC, CI/CD pipelines, container technologies, and infrastructure automation, along with skills in troubleshooting complex environments and supporting SAP production systems. Proficiency in English at B2 or higher and availability for on-site work in Eindhoven, Netherlands, are required. Preference is given to those who can provide a team of Azure Cloud Engineers or have experience with large-scale enterprise cloud projects.

Responsibilities: — Design and deploy on-premises Kubernetes clusters for high-load products. The role is within a fast-growing Russian tech company focused on software development for LTE/5G network management.

Location: Distributed; Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Atlanta, GA; Austin, TX; Denver, CO; New York City; San Francisco, CA; Seattle, WA; Washington D.C.; Toronto, Canada About the role Many of Cloudflare’s critical internal services run on Kubernetes. These services include those responsible for Cloudflare’s control plane and APIs, data analytics and other internal tools used to manage our global network. These Kubernetes platforms are purpose-built from the ground up and run on bare metal Linux in different regions around the world. The scale we work at involves tens of thousands of containers and terabits per second of network traffic. The team takes pride in knowing this platform helps run parts of the global Internet. As an engineer on the Kubernetes platform team, you'll be building the tools to help engineers deploy and operate the services that make Cloudflare work. Our mission is to provide a reliable and flexible platform to help product teams release new software efficiently and safely. The role includes both software engineering and DevOps operational responsibilities. Responsibilities Design scalable and resilient systems that can keep up with company growth. Work with application teams to understand their needs and challenges, and help them choose the best way to architect their systems to run well in our Kubernetes environment. Harden the platform against security threats, noisy neighbours, and accidents. Improve the efficiency of our use of resources such as CPU, memory, bandwidth, and storage. Help respond to, resolve, and prevent incidents impacting the platform or our users. Contribute back to the open source community. Some of our favorite open source projects include: Envoy, Contour, Consul, etcd, cdk8s, Cloudprober, Calico, Ceph, Rook, KubeVirt, and more. Desirable Skills, Knowledge, and Experience Experience managing production Kubernetes clusters. Experience operating systems on-premise at scale in roles such as SRE, systems design or architecture. Excellent debugging skills in a Linux environment. Knowledge of how container runtimes work inside of Linux (isolation, storage, and networking). A firm grasp of IP networking including routing and iptables/nftables. Ability to work with codebases in Go, TypeScript, and Bash/shell. The ability to break down complex problems into smaller pieces, provide options, talk through trade-offs, build consensus, and drive the effort to solve the problem. Bonus Points Familiarity with building platforms across multiple zones and regions as the foundation for other teams to build distributed highly-available applications. Experience with configuration management frameworks such as SaltStack or Ansible. Experience with continuous deployment tooling like ArgoCD and Argo Rollouts. Operational/administrator experience with etcd, Ceph, Rook, KubeVirt, CNIs, ClusterAPI, Envoy, and/or Contour. Experience as a user of Prometheus, Elasticsearch/Kibana, Vault, Redis, and/or Consul. Compensation Compensation may be adjusted depending on work location. For San Francisco based hires: Estimated annual salary of $194,000 - $266,000 For Denver based hires: Estimated annual salary of $168,000 - $231,000 For New York City based hires: Estimated annual salary of $185,000 - $254,000 For Seattle based hires: Estimated annual salary of $185,000 - $254,000 For Washington D.C. based hires: Estimated annual salary of $185,000 - $254,000 For Toronto, Canada based hires: Estimated annual salary of $150,000 - $206,000 Applications will be accepted until December 25, 2026. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

As Kubernetes and Container Platform Security Specialist you own the security of Verda's Kubernetes offering: multi-node and single-node clusters, the container registry, and the credentials that reach it.

Задачи: - Внедрять Domain-Driven Design на практике - Расширять возможности Kubernetes через проектирование CRD и разработку операторов - Описывать и защищать Architecture Decision Records - Задавать стандарты качества через тесты и ревью кода - Создавать библиотеки, которые будут использовать другие разработчики Требования: - Опыт коммерческой разработки от 3–6 лет - Глубокое погружение в методологию Domain Driven Design на стратегическом уровне - Уверенные навыки работы с Kubebuilder и опыт проектирования CRD - Опыт написания и защиты Architecture Decision Records - Желание решать нетривиальные задачи за рамками стандартной разработки

Workplace: Удаленно Объединённая компания Wildberries и Russ — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Обязанности Внедрять и поддерживать механизмы безопасности Kubernetes: policy-as-code, PSS/PSA, securityContext, контроль отклонений и работа с исключениями; Развивать runtime security и security observability: сбор/анализ событий, настройка правил детекта, снижение false positive, интеграции с логированием/алертингом; Улучшать сетевую безопасность кластеров: NetworkPolicies (Calico/Cilium), сегментация, контроль ingress/egress совместно с платформенной командой; Развивать автоматизацию аналитики Kubernetes-безопасности: сбор данных о конфигурациях/политиках/инцидентах, базовые отчёты и дашборды, поиск отклонений; Внедрять и сопровождать менеджмент секретов в Kubernetes: практики работы с секретами, интеграции с Vault/KMS/External Secrets, ротация и безопасная доставка секретов в workload’ы; Проводить архитектурные ревью безопасности и моделирование угроз для платформенных изменений и инфраструктурных сервисов, доводить изменения до production окружения; Автоматизировать рутину: GitOps/CI для конфигов и политик, тестирование политик, документация и runbooks. Требования Практический опыт с Kubernetes: RBAC, ServiceAccounts, securityContext, Admission, Audit Logs, PSS/PSA, харденинг Control Plane; Понимание контейнеров и Linux security на прикладном уровне; Опыт работы с 1–2 доменами: policy engines (Kyverno / OPA Gatekeeper), runtime monitoring/detection (Falco/Tetragon/Tracee или аналоги), NetworkPolicies (Calico/Cilium); Опыт secret management: Vault/External Secrets/KMS, понимание ротации, прав доступа, безопасной доставки секретов; Инструменты эксплуатации: Terraform/Ansible, Helm/Kustomize, GitOps (ArgoCD/Flux); Автоматизация: Python/Go/Bash, написание интеграций/утилит, работа с K8s API, логами/метриками; Базовая наблюдаемость: Prometheus/Alertmanager/логирование, умение разбираться в инцидентах и писать понятные runbooks. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

поддержкой и развитием кластеров Kubernetes; развитием концепции "Kubernetes As Service";

🕹 Список обязанностей: Развёртывание и администрирование Kubernetes-кластеров на bare metal. Настройка и оптимизация Docker-контейнеризации.

Build durable systems. Design and implement Java services, Temporal workflows, and Kafka-based event pipelines, and help clients adopt durable execution and event streaming the right way — from first workflow to production scale.

- Развёртывание и администрирование Kubernetes-кластеров на bare metal. - Настройка и оптимизация Docker-контейнеризации.

Эксплуатация, сопровождение и развитие Kubernetes-кластеров в частных и публичных облаках, а также на физических серверах (Bare Metal); Развёртывание и настройка новых Kubernetes-кластеров под задачи компании;

Location: European Union What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Разрабатывать архитектуру и помогать заказчикам выстраивать решения под их задачи. Поддерживать коммерческую команду, предоставляя техническую экспертизу.

В объединённой компании Wildberries и Russ нужно развивать безопасность Kubernetes: внедрять политики и runtime-защиту, настраивать NetworkPolicies, управлять секретами. В задачи также входят анализ событий, архитектурные ревью и моделирование угроз, автоматизация через GitOps/CI.

Lambda is looking for a Senior Software Engineer to build Kubernetes control-plane services, automate cluster lifecycle management, and support AI infrastructure.

Задачи: — Участвовать в архитектурных решениях, проектировании, развитии и эксплуатации PaaS-платформы на базе Kubernetes, включая компоненты ClickHouse и Redis/Valkey. — Автоматизировать жизненный цикл Data Services: развертывание, масштабирование, миграции, обновления, резервное копирование, репликацию и восстановление. — Создавать и развивать решения самообслуживания для команд разработки. — Стандартизировать и развивать платформенные практики: Service Catalog, SLO/SLA, GitOps и IaC. — Участвовать в устранении инцидентов, анализировать стабильность и производительность платформы. — В первую очередь развивать платформенные компоненты для ClickHouse и Redis/Valkey, формировать стандартные сценарии их предоставления и эксплуатации в Kubernetes. Требования: — Понимание Kubernetes как платформы: архитектуры control plane и data plane, жизненного цикла объектов, примитивов нагрузки Deployments, StatefulSets и DaemonSets, механизмов контроля и reconciliation. — Уверенное знание Kubernetes storage stack: StorageClass, PVC/PV, особенности stateful-нагрузок, репликация и отказоустойчивость. — Практический опыт эксплуатации и тюнинга ClickHouse от 3х лет: репликация, шардирование, ClickHouse Keeper, оптимизация запросов и хранения, резервное копирование и восстановление. — Практический опыт эксплуатации Redis или Valkey: репликация, Sentinel или Cluster, механизмы персистентности, переключение при отказах, оптимизация памяти и задержек. — Опыт развертывания и эксплуатации stateful-операторов Kubernetes для ClickHouse и Redis/Valkey или участие в разработке и кастомизации собственных операторов. — Опыт работы с Terraform и понимание принципов IaC. — Опыт построения CI/CD pipelines для инфраструктурных компонентов. — Практическое владение GitOps-подходом, например Argo CD или Flux, и умение проектировать процессы развертывания платформенных компонентов. — Понимание процессов Software Development. Дополнительно приветствуется: — Опыт решения эксплуатационных задач, связанных с кластеризацией, высокой доступностью, backup/restore и производительностью других Data Services в Kubernetes. — Опыт разработки Kubernetes-операторов и контроллеров на Go или Python. — Опыт работы с multi-tenancy в Kubernetes. — Знание принципов распределенных систем: CAP, Raft, quorum и consensus. — Опыт участия в архитектурных обсуждениях и принятии решений при построении PaaS/DBaaS. — Опыт работы с policy-as-code: OPA, Gatekeeper или Kyverno. — Экспертиза в observability-стеке: Prometheus, Grafana, VictoriaMetrics и Jaeger, умение строить метрики и алерты для Kubernetes и Data Services. — Умение находить корневые причины инцидентов, связанных с latency, IO bottlenecks, сетью и потреблением памяти. — Опыт работы с Helm и проектирования production-чартов. Условия: — Полный рабочий день. — Возможна удалённая работа из любого города России. — Официальное трудоустройство, полностью белая зарплата. — Медицинское страхование (ДМС) и возможность онлайн-консультаций с врачами. — Возможность выступать на конференциях и писать статьи. — Собственный учебный центр с курсами, тренингами и книгами для повышения квалификации. — Офисы в Москве, Санкт-Петербурге и Новосибирске для гибридного формата работы.