OpenShift/Kubernetes Engineer

🏢 Summary: Oferta dotyczy roli Kubernetes Engineer odpowiedzialnej za projektowanie, wdrażanie i utrzymanie produkcyjnych platform kontenerowych opartych na Red Hat OpenShift oraz chmurach AWS i Azure. Stanowisko koncentruje się na budowie skalowalnych, bezpiecznych środowisk mikrousługowych z wykorzystaniem Infrastructure as Code i CI/CD. 🗂️ Requirements: Minimum 5 lat doświadczenia z Kubernetes i orkiestracją kontenerów, Minimum 3 lata doświadczenia z Red Hat OpenShift, Doświadczenie z AWS ECS/EKS, Znajomość Azure AKS, Znajomość Linux, Znajomość Docker, Doświadczenie z narzędziami IaC, Znajomość CI/CD, Umiejętność tworzenia skryptów, Biegła znajomość języka angielskiego, Miejsce zamieszkania w Polsce 📃 Skills: Kubernetes, OpenShift, AWS, Azure, ECS, EKS, AKS, Linux, Docker, Terraform, Ansible, CI/CD, IaC, Bash 🏢 Description: Poszukujemy doświadczonego Kubernetes Engineer do projektowania i obsługi nowoczesnych platform kontenerowych. Rola koncentruje się na Red Hat OpenShift i natywnych środowiskach chmurowych na AWS i Azure. Będziesz pracować ze skalowalnymi, bezpiecznymi i produkcyjnymi platformami mikrousług. Twoje zadania Projektowanie, wdrażanie i obsługa klastrów Kubernetes w środowisku produkcyjnym Zarządzanie i obsługa platform Red Hat OpenShift Utrzymywanie i optymalizacja platform kontenerowych w AWS (ECS/EKS) i Azure AKS Budowanie i zarządzanie infrastrukturą przy użyciu Infrastructure as Code Rozwiązywanie problemów z platformą i wspieranie zespołów programistycznych Wymagania Co najmniej 5 lat doświadczenia z Kubernetes i orkiestracją kontenerów Minimum 3 lata praktycznego doświadczenia z Red Hat OpenShift Doświadczenie z AWS ECS/EKS i znajomość Azure AKS Dobra znajomość Linuksa, Dockera i narzędzi IaC (Terraform, Ansible) Dobra znajomość CI/CD i umiejętności tworzenia skryptów Biegła znajomość języka angielskiego Wymagane miejsce zamieszkania w Polsce Benefity, które czekają na Ciebie: Tytuł Great Place to Work od 2015 roku - to dzięki opiniom pracowników otrzymujemy tytuł i wdrażamy nowe pomysły Stabilność zatrudnienia - 2,1 MLD PLN przychodu, brak długów, od 2006 roku na rynku Dzielimy się zyskiem z pracownikami - od 2022 roku przeznaczyliśmy na ten cel już ponad 76 milionów PLN Bogaty pakiet benefitów - prywatna opieka zdrowotna, platforma kafeteryjna, zniżki na samochody i więcej Komfortowe miejsce pracy - pracuj w naszych biurach klasy A lub zdalnie Dziesiątki fascynujących projektów dla prestiżowych marek z całego świata 1 000 000 PLN rocznie na Twoje pomysły - taką kwotą wspieramy pasje i akcje wolontariackie naszych pracowników Stawiamy na Twój rozwój - meetupy, webinary, platforma szkoleniowa i blog technologiczny – Ty wybierasz Fantastyczna atmosfera stworzona przez wszystkich Sii Power People Dołącz do zespołu Sii – rozwijaj umiejętności, zdobywaj doświadczenie i buduj karierę!

🏢 Summary: Role for an experienced Kubernetes / Platform Engineer responsible for designing, implementing and developing modern container platforms in on-premise and hybrid environments. The position focuses on building and integrating Kubernetes clusters with data center infrastructure, automating processes, and supporting production environments. Opportunity to work on advanced infrastructure projects with real impact on architecture and technology choices. 🗂️ Requirements: Minimum 3 years of experience with Kubernetes, DevOps or Linux, Experience in at least 2 Kubernetes or container platform implementation projects, Strong knowledge of Kubernetes architecture, components and CNI networking, Good knowledge of Linux systems (RHEL, Ubuntu or Rocky), Knowledge of data center infrastructure: networking (L2/L3, load balancing), storage, compute, virtualization, HA, Experience with automation tools such as Terraform or Ansible, Ability to design architecture and analyze technical problems, English proficiency for working with technical documentation 📃 Skills: Kubernetes, RKE2, OpenShift, Rancher, OKD, Linux, RHEL, Ubuntu, Rocky, Terraform, Ansible, GitOps, ArgoCD, Flux, Ceph, Networking, CNI, L2, L3, HA, Virtualization, CICD, Storage, Compute 🏢 Description: Poszukujemy doświadczonego Kubernetes / Platform Engineera , który będzie odpowiedzialny za projektowanie, wdrażanie oraz rozwój nowoczesnych platform kontenerowych w środowiskach on-premise i hybrydowych. To rola dla osoby, która chce pracować z zaawansowaną infrastrukturą, projektować architekturę rozwiązań i mieć realny wpływ na środowiska produkcyjne klientów. 🔧 Zakres obowiązków Projektowanie, wdrażanie i rozwój platform Kubernetes (on-prem / hybrid) Budowa i konfiguracja klastrów (upstream Kubernetes, RKE2, OpenShift, Rancher) Integracja Kubernetes z infrastrukturą data center (compute, network, storage) Analiza wymagań klientów oraz dobór architektury rozwiązania Automatyzacja procesów (Infrastructure as Code, GitOps) Diagnostyka, optymalizacja i utrzymanie środowisk produkcyjnych Testowanie i walidacja nowych technologii Wsparcie klientów w utrzymaniu i rozwoju platform Współpraca z zespołami projektowymi oraz udział w działaniach pre-sales Wymagania Min. 3 lata doświadczenia w obszarze Kubernetes / DevOps / Linux Udział w co najmniej 2 projektach wdrożeniowych (Kubernetes / platformy kontenerowe) Bardzo dobra znajomość Kubernetes (architektura, komponenty, networking – CNI) Dobra znajomość systemów Linux (RHEL / Ubuntu / Rocky Linux) Wiedza z zakresu infrastruktury data center: networking (L2/L3, load balancing) storage (block / file / object, np. Ceph) compute / wirtualizacja / HA Doświadczenie z narzędziami automatyzacji (Terraform, Ansible lub podobne) Umiejętność analizy problemów i pracy projektowej Znajomość języka angielskiego (praca z dokumentacją techniczną) Mile widziane Certyfikacje Kubernetes (CKA / CKAD / CKS) Doświadczenie z OpenShift, Rancher, OKD Znajomość GitOps (ArgoCD, Flux) Doświadczenie z systemami storage (np. Ceph) Znajomość narzędzi CI/CD Oferujemy Pracę przy zaawansowanych projektach infrastrukturalnych Realny wpływ na architekturę rozwiązań Możliwość pracy z nowoczesnym stackiem (Kubernetes, GitOps, IaC) Rozwój kompetencji w obszarze platform engineering i cloud-native Elastyczne formy współpracy (B2B / UoP) Przyjazną atmosferę i współpracę z doświadczonym zespołem

🏢 Summary: The offer is for a Kubernetes Engineer responsible for designing, deploying, and optimizing container orchestration platforms to support scalable and secure microservices architectures. The role focuses on RedHat OpenShift and multi-cloud environments (AWS, Azure), ensuring high availability and reliability of middleware systems. It involves infrastructure automation, CI/CD integration, and GitOps practices in a hybrid cloud setup. 🗂️ Requirements: 3+ years experience with Kubernetes and container orchestration (5+ for senior), 1+ year hands-on experience with RedHat OpenShift (3+ for senior), Proficiency with AWS ECS and EKS, Familiarity with Azure AKS, Strong knowledge of Linux systems, Experience with Docker containerization, Experience with Terraform and Ansible, Understanding of CI/CD practices, Experience with ArgoCD and Flux, Deep knowledge of Kubernetes architecture, controllers, CRDs, Operators, Scripting skills in Bash or Python, Understanding of GitOps practices 📃 Skills: Kubernetes, OpenShift, AWS, ECS, EKS, Azure, AKS, Linux, Docker, Terraform, Ansible, ArgoCD, Flux, Bash, Python, GitOps, CI/CD 🏢 Description: Team description: We build and maintain the middleware systems that support Toyota’s digital systems and mobility solutions. Our work supports multiple applications used for in‑car multimedia services, EV charging platforms, factory digitalization, data‑driven projects and online sales technologies. By ensuring continuous service availability and integrating key tools, we enable teams across Europe to develop and operate digital solutions reliably. Role Summary: We would like invite you to join the adventure of expanding TME PL branch in the Toyota Digital HUB in Wrocław. We are seeking a highly skilled and experienced Kubernetes Engineer with deep expertise in RedHat OpenShift and strong working knowledge of AWS ECS, EKS, and Azure AKS. The ideal candidate will be responsible for designing, deploying, managing, and optimizing container orchestration platforms to support scalable, secure, and resilient microservices-based architectures Qualifications & Skills: WHAT WE REQUIRE: For Engineer position 3+ (for senior Engineer 5+) years of experience with Kubernetes and container orchestration. 1+ (senior 3+) years of hands-on experience with RedHat OpenShift Proficiency with AWS ECS and EKS, and familiarity with Azure AKS. Strong knowledge of Linux systems and containerization (Docker) Experience with Infrastructure as Code tools (Terraform, Ansible). Solid understanding of CI/CD practices and tools like ArgoCD and Flux Deep understanding of Kubernetes architecture, controllers, CRDs, and Operators. Strong scripting skills (Bash, Python). Solid understanding of GitOps practices and tools. Excellent problem-solving and communication skills. ADDITIONAL REQUIREMENTS (considered an advantage): Certified Kubernetes Administrator (CKA) or Red Hat Certified Specialist in OpenShift Administration. Experience with observability tools. Exposure to multi-cloud or hybrid cloud environments. You have a  TOYOTA DNA, this means: Courage: you are ready to let go of the easy path to reach challenging targets Creativity: your passion drives you to explore innovative ideas and challenge the impossible Coaching: you share knowledge and feedback with your colleagues and celebrate each other's success Curiosity: you are open for new experience and able to combine imagination with fact-based observation Collaboration: you are a team player, respectful and inclusive in your style and you take a customer-oriented approach Formal Role Details: Job Type:  undefined time period contract Starting date: Position available since June 2026 Location: Wrocław, Silver Tower Office Center Working Pattern: Hybrid - 2 to 3 days per week in the office, in line with the need Reporting line: MW manager / Team Lead What we can offer you: Health insurance Sport card Lunch subsidy Car leasing Languages lessons Bonuses

🏢 Summary: Full-time remote DevOps Engineer role focused on designing, implementing and migrating containerized environments based on Kubernetes and OpenShift for a financial sector client. The position involves CI/CD pipeline development, infrastructure automation, and modernization of production environments. The role also includes technical consulting and hands-on implementation of Cloud Native and AI-driven DevOps solutions. 🗂️ Requirements: Very good knowledge of Kubernetes architecture, networking, storage, operators and security, Hands-on experience with application containerization, Practical experience with Red Hat OpenShift, Experience in migrations to Kubernetes/OpenShift and infrastructure modernization, Strong knowledge of CI/CD pipelines, Experience with Infrastructure as Code tools, Knowledge of Kafka, Advanced programming skills in Python, Practical experience with AI concepts in DevOps (LLM, AI agents, automation), Ability to design and implement CI/CD pipelines, English level B2 or higher 📃 Skills: Kubernetes, OpenShift, Docker, CI/CD, GitLab, Jenkins, ArgoCD, Helm, Kustomize, AWSCDK, Ansible, Chef, Kafka, Python, LLM, Strands-agents, LangGraph, AzureAI, Prometheus, Grafana, ELK, OpenTelemetry 🏢 Description: Dla naszego Klienta poszukujemy DevOps Engineera (Kubernetes, Openshift) . 📍 Tryb współpracy : zdalnie (z terenu Polski) 🕒 Full-time / B2B 📍 Projekt dla Klienta z brażny finansowej Poszukujemy doświadczonych ekspertów DevOps , którzy będą partnerami technologicznymi dla naszych klientów - od definiowania architektury i rekomendacji rozwiązań, po ich praktyczną implementację w środowiskach opartych o Kubernetes, Docker i OpenShift . Rola obejmuje również prowadzenie migracji między środowiskami do wirtualizacji oraz wsparcie w obszarze automatyzacji, modernizacji infrastruktury i wdrażania najlepszych praktyk DevOps. Twoja praca będzie polegała na: Doradztwie technologicznym i prowadzeniu warsztatów dla klientów z obszaru DevOps / Cloud Native Projektowaniu, budowaniu i rozwoju środowisk Kubernetes, OpenShift Migracji aplikacji i usług do architektur kontenerowych Projektowaniu i implementacji pipeline’ów CI/CD Automatyzacji infrastruktury (IaC) i procesów operacyjnych Rozwiązywaniu złożonych problemów technicznych w środowiskach produkcyjnych Współpracy z zespołami developerskimi, architektami oraz klientami biznesowymi Do realizacji zadań będzie Ci potrzebna: Bardzo dobra znajomość Kubernetes - architektura, networking, storage, operators, security Doświadczenie hands-on z konteneryzacją aplikacji Praktyczne doświadczenie z Red Hat OpenShift Realne doświadczenie w migracjach: do K8s/OpenShift, modernizacji aplikacji, migracji pipeline’ów i infrastruktury Bardzo dobra znajomość CI/CD (np. GitLab CI, Jenkins, Argo CD) Znajomość IaC (Helm, Kustomize, AWS CDK, Ansible, Chef) Znajomość Kafka Zaawansowane umiejętności programowania w Pythonie: automatyzacje DevOps, integracje z API, praca z frameworkami AI (np. Strands-agents, LangGraph, Azure AI SDK) Rozumienie koncepcji i praktyczne doświadczenie z AI w DevOps (LLM, agenci AI, automatyzacja procesów) Umiejętność pracy konsultingowej i samodzielnego prowadzenia projektów Język angielski na poziomie min. B2 Mile widziane: Certyfikaty CKA, CKAD, CKS, Red Hat Doświadczenie z chmurą (AWS / Azure / GCP) Znajomość service mesh Monitoring: Prometheus, Grafana, ELK/EFK, OpenTelemetry Doświadczenie w optymalizacji kosztów i wydajności środowisk Co zyskasz dzięki aplikacji na ofertę Antal? Gdy Twoja aplikacja zostanie rozpatrzona pozytywnie (zostaniesz zaproszony/a do procesu), otrzymasz wsparcie Konsultanta/Konsultantki, który/a utrzyma z Tobą stały kontakt (mailowo lub telefonicznie), pomoże Ci przygotować się do rozmowy rekrutacyjnej z przyszłym pracodawcą oraz zatroszczy się o jakość procesu rekrutacyjnego, w którym aktualnie bierzesz udział. Kim jesteśmy? Jesteśmy liderem rekrutacji specjalistów i menedżerów oraz doradztwa w obszarze HR. Marka obecna jest w 35 krajach, w Polsce działa od 1996 roku. Przez ten czas zbudowaliśmy wiele karier kandydatów, dzięki elastycznemu i kompleksowemu podejściu do wszystkich rekrutacji. Antal tworzy ponad 130 profesjonalnych konsultantów ds. rekrutacji, którzy są oni nie tylko skutecznymi rekruterami, ale także wykwalifikowanymi doradcami, specjalizującymi się zarówno w zakresie wybranego sektora, jak i stanowiska. Sprawdź inne aktualne oferty pracy na: https://antal.pl/dla-kandydata Zaobserwuj nasz profil na LinkedIn: https://www.linkedin.com/company/antalpoland

🏢 Summary: The role focuses on designing and implementing automation solutions for cloud and virtualized infrastructure environments. It involves building scalable systems using scripting, containerization, and orchestration technologies to improve reliability and deployment speed. The position emphasizes cloud platform management, workflow automation, and infrastructure optimization. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Technology, or related field, Strong programming skills in Python, Hands-on experience with Kubernetes and Docker, Practical experience with VMware virtualization, Experience with OpenStack cloud platforms, Knowledge of Apache Airflow, Solid understanding of Linux systems, Understanding of networking fundamentals, Experience with cloud and infrastructure automation 📃 Skills: Python, Kubernetes, Docker, VMware, OpenStack, Airflow, Linux, Networking 🏢 Description: Position Overview We are looking for a skilled Cloud Automation Engineer to join our team and support the design, automation, and optimization of cloud and virtualized infrastructure environments. The ideal candidate has strong scripting skills, hands-on experience with containerization and orchestration technologies, and a solid understanding of cloud platforms and automation frameworks. This role focuses on building scalable, automated solutions that improve infrastructure reliability, efficiency, and deployment speed. Roles and Responsibilities: Design, develop, and maintain automation solutions for cloud and virtualized environments. Build and optimize automation scripts and services using Python . Deploy and manage containerized applications using Docker and Kubernetes . Support and automate infrastructure running on VMware and OpenStack platforms. Implement and maintain workflow orchestration solutions using Apache Airflow . Collaborate with network and security teams to automate firewall rules, network configurations, and policy enforcement. Work with enterprise storage solutions to automate provisioning, scaling, and lifecycle management. Improve CI/CD and infrastructure automation processes. Monitor, troubleshoot, and optimize cloud and containerized environments. Collaborate with DevOps, infrastructure, and development teams to enhance platform reliability and scalability. Create and maintain technical documentation for automation processes and systems. Required Skills and Experience: Bachelor’s degree (minimum Licencjat or equivalent) in Computer Science, Information Technology, or a related field . Strong programming skills in Python . Hands-on experience with Kubernetes and Docker . Practical experience with VMware virtualization environments. Experience working with OpenStack cloud platforms. Knowledge of Apache Airflow for workflow orchestration. Solid understanding of Linux systems and networking fundamentals. Strong analytical and problem-solving skills. Ability to work independently and as part of a technical team. Nice to Have: Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Familiarity with CI/CD pipelines and DevOps practices. Knowledge of monitoring and logging tools. Cloud certifications or Kubernetes certifications.

🏢 Summary: Senior GCP & Kubernetes DevOps Engineer role focused on migrating 100+ microservices to Google Cloud Platform and operating a scalable, production-ready Kubernetes platform. The position centers on building CI/CD pipelines, implementing observability, and ensuring reliability and security of containerized Java and Python services. It combines hands-on platform engineering with support for large-scale cloud transformation in a global environment. 🗂️ Requirements: 5+ years hands-on Kubernetes experience (preferably GKE), Experience operating or migrating large-scale microservices platforms, Strong support experience with Java and Python microservices on Kubernetes, Experience building CI/CD pipelines for containerized applications, Hands-on Infrastructure as Code experience (Terraform preferred), Experience with monitoring, observability and distributed tracing tools, Knowledge of incident management and production support practices, Fluent English, Legal right to work in the European Union 📃 Skills: GCP, GKE, Kubernetes, Docker, Helm, Terraform, CI/CD, Prometheus, Grafana, Loki, Tempo, Java, Python, Istio, IAM, VPC 🏢 Description: Unleash Innovation in Cloud DevOps — Transform Microservices into Scalable Powerhouses on GCP! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP & Kubernetes DevOps Engineer , you will be working for our client, a leading financial technology organization driving large-scale digital transformation within Global Markets Technology. You will support a major migration project involving over 100 microservices to Google Cloud Platform (GCP), focusing on Kubernetes, observability, and platform reliability. This role offers an exciting opportunity to shape resilient, production-ready infrastructure while fostering innovation and continuous improvement. Your main responsibilities: Engineer and operate the target platform on GCP/GKE to support the migration of 100+ microservices. Partner with application delivery teams to onboard services onto Kubernetes, including deployment patterns, configuration, and operational readiness. Provide hands-on support deploying Java and Python microservices into Kubernetes (using manifests/Helm, config, secrets, scaling, health checks). Build and standardise CI/CD pipelines for containerised workloads, ensuring security and reliability. Implement observability solutions: metrics, logs, distributed tracing (preferably Grafana stack), dashboards, alerting, and SLO reporting. Drive platform reliability and support: incident management, root cause analysis, and preventative enhancements. Identify and address technical debt; propose platform improvements to reduce operational toil and enhance developer experience. Ensure solutions comply with security controls, operational guidelines, and technology standards. Collaborate effectively within a global, dispersed team, sharing knowledge and best practices. You're ideal for this role if you have: A minimum of 5 years of hands-on experience with Kubernetes, ideally GKE, including deployment, ingress, configuration, and troubleshooting. Proven experience migrating or operating microservices platforms at scale. Strong expertise supporting Java and Python microservices within Kubernetes environments. In-depth knowledge of monitoring, observability, and tracing tools, preferably Grafana stacks (e.g., Prometheus, Loki, Tempo). Experience building and maintaining CI/CD pipelines for containerised applications. Skills in Infrastructure as Code (Terraform preferred) and automated environment provisioning. A solid production mindset: reliability, incident response, and continuous improvement. Ability to work effectively with local and global teams, with excellent written and spoken English. A delivery-driven and pragmatic approach, balancing speed, control, and risk management. Open-minded, eager to learn, and capable of guiding colleagues as needed. It is a strong plus if you have: Experience with GCP services supporting GKE (IAM, VPC, Cloud Logging/Monitoring, Artifact Registry). Helm chart development and standardisation across teams. Service mesh experience (Istio) and ingress patterns. Knowledge of security tooling (container scanning, policy-as-code, workload identity). Previous experience with cloud migration or platform engineering projects. Familiarity with Javascript/Vue. Language Required for the role: Fluent English, both written and spoken. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: On-site role in Wroclaw for a Kubernetes & Cloud Infrastructure Engineer focused on building and operating scalable, secure AI platform infrastructure. The position centers on managing Kubernetes clusters, AWS environments, and infrastructure as code to support GPU workloads and large language model deployments. You will enhance reliability, automation, and observability of cloud-native AI systems. 🗂️ Requirements: 4+ years in Cloud, DevOps, or Platform Engineering, Strong expertise in Kubernetes cluster operations and multi-tenancy, Experience with GPU scheduling and model serving infrastructure, Hands-on experience with AWS (networking, IAM, EKS, EC2), Proficiency in Python, Experience with Terraform and infrastructure as code, Ability to build and operate CI/CD pipelines, Experience implementing GitOps workflows, Experience defining and managing infrastructure SLOs, Fluent English, Legal right to work in the EU 📃 Skills: Kubernetes, AWS, EKS, EC2, IAM, Terraform, Helm, Kustomize, Python, CI/CD, GitOps, GPU, Docker, Linux, Networking, Observability 🏢 Description: Unleash the power of cloud-native infrastructure — revolutionize AI platforms with your expertise! Wroclaw-based opportunity with on-site work model As a Kubernetes & Cloud Infrastructure Engineer – AI Platform , you will be working for our client, a leader in AI innovation, building and managing critical infrastructure that supports advanced AI models and large language model workloads. Your work will directly impact the delivery, scalability, and security of cutting-edge AI solutions, empowering teams across the firm to harness AI's full potential. Join us and be part of shaping the future of intelligent technologies! Your main responsibilities: Build and operate scalable Kubernetes clusters supporting multi-tenancy, GPU workloads, and model serving. Manage AWS infrastructure, including networking, IAM, security, and cost optimization. Develop and maintain infrastructure as code utilizing tools like Terraform, Helm, and Kustomize. Implement and maintain CI/CD and GitOps workflows to streamline deployment pipelines. Build observability solutions for system health, utilization, latency, and platform performance monitoring. Automate scaling, capacity management, and enforce security and governance policies across cloud and on-premise environments. Define and monitor infrastructure Service Level Objectives (SLOs) to ensure reliability and performance. Collaborate closely with AI Platform Engineers, Data Scientists, and Research teams to support model inference and deployment infrastructure. Enable internal teams through platform tooling, onboarding, and self-service portals. You're ideal for this role if you have: 4+ years of experience in Cloud, DevOps, or Platform Engineering. Strong expertise in Kubernetes, including cluster operations, multi-tenancy, GPU scheduling, and Helm/Kustomize. Hands-on experience with AWS cloud services—networking, IAM, EKS, EC2, and cost management. Proficient in Python and infrastructure-as-code tools such as Terraform. Proven ability to build and operate CI/CD and GitOps workflows. Skilled in defining and managing infrastructure SLOs. Pragmatic, ownership-driven approach and comfortable working in ambiguous environments. It is a strong plus if you have: Experience supporting LLM inference workloads, model serving platforms, or GPU-backed infrastructure. Knowledge of RAG systems, vector databases, or AI-related data platforms. Background in high-performance or latency-sensitive environments. Relevant certifications such as CKA, CKAD, Solutions Architect, or similar. Language Required for the role: Fluent English Eligibility to work in this role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: The role involves designing, building, and operating scalable and secure Azure Kubernetes Service (AKS) platforms with a strong focus on cloud-native technologies, automation, and GitOps. The engineer will manage containerized workloads, implement autoscaling and observability solutions, and define infrastructure as code in production Azure environments. This position emphasizes platform security, CI/CD, and support for advanced workloads including GPU-based deployments. 🗂️ Requirements: Strong hands-on experience with Kubernetes in production environments, Experience with Azure Kubernetes Service (AKS), Advanced knowledge of Docker and containerization, Experience implementing autoscaling with KEDA, Proficiency in Helm, Experience with Azure services (AKS, ACR, Key Vault, Managed Identities, Azure Monitor), Experience building CI/CD pipelines, Experience implementing GitOps workflows (Flux or Argo CD), Experience with Infrastructure as Code (Terraform, Bicep, or ARM), Experience with observability tools (Prometheus, Grafana, OpenTelemetry), Strong scripting skills (Bash or Python), Understanding of Kubernetes security best practices 📃 Skills: Kubernetes, AKS, Docker, KEDA, Helm, Azure, ACR, KeyVault, ManagedIdentities, AzureMonitor, AzureDevOps, GitLab, Flux, ArgoCD, Terraform, Bicep, ARM, Prometheus, Grafana, OpenTelemetry, Bash, Python, PowerShell, GitOps, RBAC, NVIDIA, GPU 🏢 Description: Azure Kubernetes Platform Engineer We are seeking a skilled Azure Kubernetes Platform Engineer to design, build, and operate scalable, secure, and high-performance Kubernetes platforms on Azure. This role is ideal for someone passionate about cloud-native technologies, platform engineering, and enabling teams through robust infrastructure and automation. Key Responsibilities Design, deploy, and manage production-grade platforms on Azure Kubernetes Service (AKS). Build and optimize containerized workloads using Docker, ensuring efficiency and security. Implement event-driven autoscaling solutions using KEDA. Develop and maintain reusable Helm charts to support scalable application deployments. Manage and integrate Azure services such as ACR, Key Vault, Managed Identities, and Azure Monitor. Build and maintain CI/CD pipelines using Azure DevOps or GitLab CI, with a strong focus on GitOps practices (Flux or Argo CD). Support GPU-based workloads, including configuration of NVIDIA device plugins and GPU node pools. Implement robust observability solutions using Prometheus, Grafana, and OpenTelemetry. Ensure platform security through Kubernetes best practices, including RBAC, workload identity, and non-root containers. Define and manage infrastructure using Terraform, Bicep, or ARM templates. Core Skills & Experience Strong hands-on experience with Kubernetes, particularly Azure Kubernetes Service (AKS), in production environments. Advanced knowledge of containerization and Docker best practices. Experience implementing autoscaling using KEDA (ScaledObjects and ScaledJobs). Proficiency in Helm for packaging and deploying applications. Solid experience across the Azure ecosystem (AKS, ACR, Key Vault, Managed Identities, Azure Monitor). Experience building CI/CD pipelines and implementing GitOps workflows. Familiarity with GPU workloads in Kubernetes environments. Strong scripting skills in Bash and Python (PowerShell beneficial). Experience with observability and monitoring tools (Prometheus, Grafana, OpenTelemetry). Understanding of Kubernetes security and Infrastructure as Code principles. Nice to Have Advanced KEDA scaling patterns (e.g., Azure Service Bus, Prometheus metrics, cron-based scaling). Experience with Python-based machine learning workloads and modern packaging tools (uv, pyproject.toml, tox). Knowledge of PostgreSQL and Redis in highly available containerized environments. Experience with Java / Spring Boot microservices. Familiarity with workflow orchestration tools such as Temporal, Ray, or Argo Workflows. Exposure to WASM/WASI workloads on Kubernetes. FinOps experience in multi-team Kubernetes environments. Relevant certifications (e.g., CKA, CKAD, CKS, AZ-104, AZ-400, AZ-305). Why Join Us? Work on cutting-edge cloud-native and Kubernetes technologies. Build platforms that empower engineering teams at scale. Collaborate in a highly technical, forward-thinking environment.

🏢 Summary: Hands-on systems engineering role focused on enhancing and supporting Windows environments within Google Kubernetes Engine. The position centers on deep system-level debugging, incident resolution, and building reliable infrastructure and CI/CD pipelines for containerized Windows workloads at scale. It involves developing new features and improving automation for Windows support in cloud-native environments. 🗂️ Requirements: 5–8 years of experience in systems engineering, Strong expertise in Windows internals, Experience with system-level debugging, Strong networking knowledge, Hands-on experience with Kubernetes and GKE, Experience with containerized environments, Experience troubleshooting distributed systems, Experience with CI/CD pipelines, Experience with automated testing frameworks 📃 Skills: Windows, Kubernetes, GKE, Networking, CI/CD, Containers, Kernel, CrashDump, Cloud, DistributedSystems, Automation, Testing 🏢 Description: We are looking for a hands-on engineer who thrives deep in systems, debugging complex issues, and building reliable infrastructure at scale. If Windows internals, Kubernetes, and cloud-native environments are your playground this role is for you. 💡 What you’ll be doing Deliver specialized technical expertise for Windows systems and networking within Google Kubernetes Engine (GKE) Investigate, troubleshoot, and resolve production incidents and bugs from root cause analysis to implementing fixes in code Design and build new features to enhance Windows support in Kubernetes environments Maintain and improve automated build and testing frameworks for GKE Windows components Own and optimize CI/CD pipelines to ensure fast, reliable delivery Perform deep system-level and kernel debugging (including crash dump analysis) Diagnose complex system and networking issues affecting containerized Windows workloads Enable and validate new compute and storage features for upcoming product releases (NPIs) Document findings, fixes, and improvements to support engineering teams at scale 🧠 What we’re looking for 5–8 years of experience in systems engineering or similar roles Strong expertise in Windows internals, system-level debugging, and networking Solid experience with Kubernetes (especially GKE) and containerized environments Proficiency in troubleshooting complex, distributed systems Experience working with CI/CD pipelines and automated testing frameworks Ability to dive deep into problems and drive them to resolution 🌟 Nice to have Experience with kernel debugging and crash dump analysis Familiarity with cloud infrastructure and large-scale distributed systems Exposure to storage and compute systems in cloud environments 🎯 Why join? Work on cutting-edge cloud infrastructure powering real-world applications Solve complex technical challenges at scale Collaborate with top engineers in a highly impactful environment Opportunity to influence the future of Windows in Kubernetes

🏢 Summary: DevOps Engineer role focused on maintaining and enhancing a complex, on-premise automation platform deployed globally on Linux and Kubernetes. The position involves advanced troubleshooting, incident response, and development of automation, monitoring, and self-healing mechanisms to reduce on-site interventions. Includes international travel and participation in an on-call rotation to ensure high system reliability. 🗂️ Requirements: Strong Linux (Ubuntu) administration and troubleshooting experience, Hands-on Kubernetes cluster management and troubleshooting, Practical Docker experience, Solid networking knowledge and network diagnostics skills, Experience with NFS and storage troubleshooting, Operational knowledge of GPU and CUDA environments, Experience with RabbitMQ, Experience with PostgreSQL, Ability to handle production incidents and system upgrades, Willingness to participate in on-call rotation, Readiness for international travel and on-site work 📃 Skills: Linux, Ubuntu, Kubernetes, Docker, Networking, NFS, CUDA, GPU, RabbitMQ, PostgreSQL 🏢 Description: Position Overview Important: Travel & On-Call Requirements This role requires readiness for long-distance international travel to customer sites . The systems are deployed globally and, when issues cannot be resolved remotely, on-site interventions may be necessary , including deployments, upgrades, and complex troubleshooting activities. Additionally, the position includes participation in a rotational on-call / standby schedule , ensuring operational continuity and the ability to respond to critical incidents outside of standard working hours. We are looking for an experienced DevOps Engineer to join a team responsible for the maintenance and further development of a complex automation system deployed on-premise at customer sites . The system is based on Linux (Ubuntu) and a containerized Kubernetes architecture . The platform consists of multiple cooperating application and infrastructure components, including: backend services GPU-based computing components (CUDA) communication layer storage networking components The environment is characterized by high operational complexity and strong dependencies between system layers (OS, Kubernetes, applications, networking, storage). Systems are deployed across multiple locations worldwide and often operate in environments with limited local IT support, which requires high reliability and well-defined operational procedures. Responsibilities Incident Handling and System Maintenance Diagnosing and resolving issues related to: Kubernetes clusters containers (Docker) Linux (Ubuntu) operating system networking storage (including NFS) Analyzing logs and service health across application and infrastructure layers Restoring full system functionality in production environments Performing system deployments and upgrades at customer sites Participating in on-site interventions when issues cannot be resolved remotely Automation, Observability, and System Resilience Designing and developing automated troubleshooting mechanisms Early detection of infrastructure and application-level issues Automated validation of the health of key system components: OS Kubernetes containers storage networking Building health checks and observability solutions (metrics, alerts, dashboards) Creating and maintaining: runbooks standard recovery procedures automated self-healing mechanisms Documenting common incidents, root causes, and resolution methods Technical Requirements Strong experience with Linux (Ubuntu) system administration and troubleshooting Hands-on experience with Kubernetes, including cluster troubleshooting and container analysis Practical knowledge of Docker Solid understanding of networking and diagnosing network-related issues Experience with NFS / storage troubleshooting Operational knowledge of GPU / CUDA environments (compatibility, stability) Experience working with: RabbitMQ PostgreSQL Additional Requirements Willingness to participate in an on-call / standby rotation Readiness for business travel, including on-site customer visits Ability to work independently in complex, distributed environments Strong analytical and problem-solving skills We offer Flexible working hours Remote work options Medical care program MultiSport Integration events A contract of employment or self-employment, depending on You