Senior Kubernetes Platform Engineer

🏢 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 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: The offer is for a Senior Platform Engineer responsible for designing, building, and operating scalable Kubernetes-based platforms on AWS. The role focuses on backend platform development, Infrastructure as Code with Terraform, CI/CD automation, and improving developer experience through self-service and multi-tenant solutions. It involves driving reliability, observability, and automation across a cloud-native ecosystem. 🗂️ Requirements: 5+ years of experience as a Platform Engineer, Strong hands-on experience with Kubernetes, including cluster operations, Strong programming skills in TypeScript or Go, Experience with AWS or other cloud platforms, Experience with Infrastructure as Code tools, preferably Terraform, Experience with CI/CD pipelines and deployment automation, Experience designing scalable multi-tenant systems, Strong understanding of API and platform architecture, Solid Linux and networking fundamentals, Experience with observability and monitoring solutions, Experience building self-service platform capabilities, Practical experience using AI-powered coding assistants, Work permit and residence in the European Union 📃 Skills: Kubernetes, AWS, Terraform, TypeScript, Go, Python, CI/CD, Linux, Networking, APIs, Docker, OpenTelemetry, Backstage, GitHub, Claude, Cursor 🏢 Description: 🟣 You will be: designing, building, and operating scalable Kubernetes-based platform infrastructure, developing backend platform services and reusable engineering components, building and maintaining cloud-native solutions (primarily on AWS), creating and evolving Infrastructure as Code solutions using Terraform, designing and implementing CI/CD pipelines and deployment automation, developing scalable multi-tenant platform capabilities for engineering teams, building self-service developer platform features and internal tooling, designing and maintaining APIs and platform architecture standards, improving platform reliability, observability, and monitoring capabilities, collaborating with engineering teams to improve developer experience and platform adoption, contributing to platform engineering best practices and technical standards, supporting container platform operations and orchestration processes, driving automation and operational excellence across the platform ecosystem. 🟣 Your profile: 5+ years of experience as a Platform Engineer, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts, strong backend engineering background, strong programming skills in TypeScript and/or Go; Python experience is a plus, solid experience with cloud platforms, preferably AWS, practical experience with Infrastructure as Code tools, preferably Terraform, experience with CI/CD pipelines and deployment orchestration, experience designing scalable multi-tenant systems, strong understanding of API and platform architecture, solid Linux and networking fundamentals, experience with observability and monitoring solutions, experience building reusable self-service platform capabilities for developers, good English communication skills (at least B2 level). 🟣 Nice to have: experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work, interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches, experience with Internal Developer Platforms (IDP), experience building Kubernetes operators and controllers, experience with Backstage or developer portal tooling, experience in container runtime or platform engineering, knowledge of event-driven and distributed systems architecture, experience with service mesh technologies and OpenTelemetry. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: The offer is for a senior Cloud & DevOps professional responsible for designing and deploying scalable cloud-native applications and critical infrastructure. The role focuses on driving CI/CD automation, improving cloud architecture, and ensuring security and quality standards across delivery pipelines. It also involves mentoring teams and leading cloud adoption initiatives in an Agile environment. 🗂️ Requirements: Minimum 5 years experience in cloud-focused or DevOps role, Hands-on experience with Kubernetes, Docker, Terraform, Experience with at least one cloud provider (AWS/Azure/GCP/IBM), Strong knowledge of Jenkins, Ansible, ArgoCD, GitLab, Ability to design and manage CI/CD pipelines, Understanding of RESTful APIs, data quality, security protocols, Experience working with Agile methodologies (SCRUM/Kanban), Familiarity with JIRA and Confluence, Professional English communication skills 📃 Skills: Kubernetes, Docker, Terraform, AWS, Azure, GCP, IBM, Jenkins, Ansible, ArgoCD, GitLab, REST, SQL, PostgreSQL, SQLServer, Python, JavaScript, SpringBoot, Nuxt.js, Vue, JIRA, Confluence 🏢 Description: Responsibilities Design, deploy, and assess scalable native cloud applications and critical infrastructure components. Drive the evolution of CI/CD processes and build/deployment pipelines using Jenkins, Docker, Kubernetes, and GitLab . Consult and collaborate with cross-functional IT teams on cloud architecture, optimization, and security standards. Lead the implementation of test strategies and best practices to ensure high-quality delivery within automated pipelines. Support and mentor delivery teams in adopting new cloud initiatives, ensuring alignment with company security policies. Requirements Minimum 5 years of experience in a similar cloud-focused role with a strong problem-solving mindset. Expertise in Cloud & DevOps tools : Hands-on experience with Kubernetes, Docker, Terraform , and at least one major provider (AWS/Azure/GCP/IBM). Advanced CI/CD proficiency : Strong knowledge of Jenkins, Ansible, ArgoCD , and GitLab version control. Deep understanding of IT Architecture : Proven ability to handle RESTful APIs, Data Quality, and Security protocols. Strong Communication & Leadership : Ability to engage with stakeholders (IT, Business, Clients) in English (written and oral). Agile Mindset : Familiarity with SCRUM/Kanban and tools like JIRA/Confluence. Technical Versatility (Nice to have) : Proficiency in Python, JavaScript and experience with frameworks like SpringBoot or Nuxt.js/VUE . Data Management : Basic knowledge of SQL Server or PostgreSQL.

🏢 Summary: Platform Engineer role focused on building a cloud-agnostic infrastructure and CI/CD platform across Azure and on-prem environments. The position centers on migrating from Azure DevOps to GitLab CI/CD, standardizing Infrastructure-as-Code with OpenTofu, and automating hybrid infrastructure at enterprise scale. You will design, deploy, and operate reusable IaC modules and self-hosted GitLab infrastructure. 🗂️ Requirements: 6–8+ years in Platform Engineering or DevOps, Strong hands-on experience with OpenTofu or Terraform, Deep experience designing and operating GitLab CI/CD pipelines, Proven experience migrating from Azure DevOps to GitLab, Strong Linux administration skills, Solid understanding of networking fundamentals, Solid understanding of security fundamentals, Strong knowledge of Kubernetes fundamentals, Experience managing Infrastructure-as-Code at enterprise scale, Experience automating provisioning in hybrid cloud environments 📃 Skills: OpenTofu, Terraform, GitLab, AzureDevOps, Azure, Kubernetes, Linux, PowerShell, Ansible, DotNet, Networking, Security, CICD, IaC, Firewalls, LoadBalancers 🏢 Description: Tech stack: OpenTofu / Terraform GitLab CI/CD (self‑hosted) Azure, on‑prem infrastructure Azure DevOps (migration source) Linux Kubernetes PowerShell Requirements: 6–8+ years of experience in Platform Engineering or DevOps roles Strong hands‑on experience with OpenTofu / Terraform Deep experience designing and operating GitLab CI/CD pipelines Experience migrating Azure DevOps to GitLab Strong Linux background Solid understanding of networking, security, and Kubernetes fundamentals Experience managing IaC at enterprise scale Automation‑first mindset and operational approach Nice to have: .NET application modernization and containerization experience Ansible for configuration management and golden images Load balancer and firewall automation experience Experienced in using AI tools in day-to-day workflow Project description: You will be part of the core engineering team responsible for building a cloud‑agnostic infrastructure and CI/CD platform. The project focuses on standardizing Infrastructure‑as‑Code, migrating from Azure DevOps to GitLab, and enabling consistent deployments across Azure and on‑prem environments. Main responsibilities: Migrate Azure DevOps pipelines to GitLab CI/CD Rewrite existing IaC templates to OpenTofu Build reusable IaC modules Deploy and operate self‑hosted GitLab infrastructure Automate provisioning across hybrid environments Collaborate with Kubernetes and architecture teams

🏢 Summary: The role focuses on building, automating, and optimizing cloud infrastructure and CI/CD processes in AWS or GCP environments. You will work hands-on with Kubernetes and modern DevOps tools to ensure scalable, secure, and reliable software delivery. The position involves close collaboration with engineering teams to enhance infrastructure and deployment practices. 🗂️ Requirements: Proven experience in Infrastructure Engineering, DevOps, SRE, or Backend Development, Strong expertise in Kubernetes (cluster management and application deployment), Strong knowledge of CI/CD principles, Practical experience with CI/CD tools, Willingness to work with GitHub Actions, Experience with cloud platforms (AWS or GCP) 📃 Skills: Kubernetes, Terraform, Helm, ArgoCD, AWS, GCP, GitHubActions, CICD 🏢 Description: Responsibilities: ● Work hands-on with modern tools such as Kubernetes, Terraform, Helm, and ArgoCD. ● Develop and continuously enhance internal cloud infrastructure across AWS or GCP ● Design, maintain, and optimize CI/CD pipelines using GitHub Actions to ensure reliable and efficient software delivery. ● Collaborate closely with engineering teams to understand their requirements, resolve issues, and drive automation and scalability initiatives. ● Advocate for and implement best practices in infrastructure, deployment processes, and cloud security across the organization. Requirements: ● Proven experience in infrastructure engineering, DevOps, Site Reliability Engineering (SRE), or backend development. ● In-depth expertise in Kubernetes—including both cluster management and application deployment. ● Strong understanding of CI/CD principles and practical experience with any CI/CD tools (willingness to work with GitHub Actions is essential). ● Proactive and ownership-driven mindset with strong problem-solving abilities. ● Excellent communication skills and a collaborative approach in cross-functional teams. Nice to Have: ● Experience managing OpenShift environments. ● Familiarity with Java and Gradle build systems. ● Awareness of security best practices in cloud-native and containerized environments. Working mode: ● One day per week in the office (Warsaw center) ● Additional 20 days of holidays per year

🏢 Summary: Design, deploy, and maintain high-availability Azure cloud environments with a strong focus on AKS and Infrastructure as Code using Terraform. The role centers on secure, scalable, and well-monitored Azure infrastructure, including networking, identity, databases, and disaster recovery. You will drive automation and operational excellence across the Azure ecosystem. 🗂️ Requirements: Experience managing Azure Kubernetes Service (AKS) clusters, Proficiency in Infrastructure as Code using Terraform, Experience with YAML and Helm for Kubernetes deployments, Administration of Azure networking components (VNETs, NSGs), Management of Azure VMs, Storage Accounts, and ACR, Implementation of Azure AD (Entra ID) and IAM policies, Administration of Azure SQL and SQL Server environments, Configuration of monitoring with Azure Monitor, App Insights, and Log Analytics, Design and implementation of disaster recovery and backup strategies 📃 Skills: Azure, AKS, Kubernetes, Terraform, YAML, Helm, VNET, NSG, ACR, AzureAD, IAM, AzureSQL, SQLServer, AzureMonitor, AppInsights, LogAnalytics, Velero 🏢 Description: Role Overview We are looking for a highly skilled Azure Cloud & Platform Engineer to join our infrastructure team. In this role, you will be responsible for designing, deploying, and maintaining high-availability cloud environments with a heavy focus on container orchestration ( AKS ) and Infrastructure as Code ( Terraform ). You will ensure that our Azure ecosystem is secure, scalable, and monitored to the highest standards. Key Responsibilities Kubernetes Orchestration: Manage and optimize Azure Kubernetes Services (AKS) , including cluster configuration, scaling, and lifecycle management. Infrastructure as Code (IaC): Develop and maintain automated infrastructure deployments using Terraform , YAML , and Helm charts. Cloud Administration: Oversee core Azure resources including Networking (VNETs, NSGs), Storage Accounts, Azure VMs, and Container Registries (ACR). Security & Identity: Implement and manage Azure Active Directory (Azure AD/Entra ID) and Identity & Access Management (IAM) policies to ensure a "least privilege" environment. Database Management: Administer Azure SQL environments, including SQL Server, individual databases, and Elastic Pools. Observability & Monitoring: Set up and maintain robust monitoring solutions using Azure Monitor, App Insights, and Log Analytics . Disaster Recovery: Design and implement Disaster Recovery (DR) mechanisms and backup strategies (e.g., using Velero ). Technical Documentation: Create and maintain comprehensive documentation for system configurations, architecture setups, and operational procedures. Preferred Skills Experience with Velero for Kubernetes backups. Knowledge of the ELK Stack (ElasticSearch, Logstash, Kibana). Experience with Open Source monitoring tools: Prometheus, Grafana, and Loki . Familiarity with Ansible for configuration management. Exposure to Apache Kafka messaging systems. Candidate Profile The ideal candidate is a proactive engineer who prioritizes automation over manual intervention. You should be comfortable working in a fast-paced environment, taking ownership of cloud resources, and ensuring that all solutions are documented and resilient. Your approach should combine technical depth in Azure with a broader understanding of DevOps best practices.

🏢 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: 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

🏢 Summary: The offer is for an experienced MLOps/DevOps Engineer to design, build and maintain a scalable AI platform in a hybrid Azure-based environment. The role focuses on implementing CI/CD/CT pipelines, containerization, orchestration and monitoring for ML/LLM models in production. The position combines infrastructure engineering with ML lifecycle management and production-grade AI operations. 🗂️ Requirements: Minimum 3 years of experience in DevOps, MLOps or Software Engineering, Hands-on experience with deploying and maintaining ML models in production, Advanced knowledge of Docker and Kubernetes (cluster management, Helm, Ingress), Strong experience with Azure (Azure ML, AKS, Azure Container Registry) or GCP/AWS with readiness to work on Azure, Experience building CI/CD pipelines for ML workloads, Proficiency in Python, Proficiency in Bash/Shell scripting, Practical experience with MLflow, Kubeflow or cloud-native MLOps tools, Experience with Infrastructure as Code tools (Terraform, Bicep or Ansible), Higher technical education (Computer Science, Telecommunications or related), Ability to provide services from Poland, Availability for hybrid work from Warsaw office 📃 Skills: Azure, AzureML, AKS, ACR, Docker, Kubernetes, Helm, Ingress, Python, Bash, MLflow, Kubeflow, Terraform, Bicep, Ansible, AzureDevOps, GitHubActions, Jenkins, DVC, Prometheus, Grafana, AzureMonitor 🏢 Description: Must have: • Minimum 3 lata doświadczenia w obszarze DevOps, MLOps lub Inżynierii Oprogramowania, w tym praktyka w pracy z modelami ML na produkcji. • Biegłość w konteneryzacji i orkiestracji: Zaawansowana znajomość Docker i Kubernetes (zarządzanie klastrami, Helm charts, Ingress). • Doświadczenie z chmurą Publiczną: Głęboka znajomość Azure (w szczególności Azure ML, AKS, Azure Container Registry) lub GCP/AWS z gotowością do szybkiego wejścia w Azure. • Praktyka w CI/CD: Doświadczenie w budowaniu pipeline'ów (Azure DevOps, GitHub Actions, Jenkins) uwzględniających specyfikę ML (np. trenowanie modelu jako krok w pipeline). • Programowanie i skryptowanie: Dobra znajomość Python (niezbędna do pracy z SDK narzędzi ML) oraz Bash/Shell. • Znajomość narzędzi MLOps: Praktyczna obsługa MLflow, Kubeflow lub rozwiązań natywnych chmury do zarządzania cyklem życia modelu. • Infrastructure as Code (IaC): Znajomość Terraform, Bicep lub Ansible. · Świadczenie usług z terytorium Polski · Świadczenie usług hybrydowo – częściowo z warszawskiego biura PZU Kompetencje osobiste: • Wykształcenie wyższe techniczne (Informatyka, Telekomunikacja lub pokrewne). • Podejście "Automation First" – dążenie do eliminacji pracy manualnej poprzez skrypty i narzędzia. • Umiejętność pracy na styku zespołów Data Science (rozumienie języka danych) i IT Operations (rozumienie infrastruktury i sieci). • Proaktywność w rozwiązywaniu problemów wydajnościowych i incydentów produkcyjnych. Nice to have: • Certyfikaty Azure: DevOps Engineer Expert (AZ-400) lub Azure AI Engineer (AI-102). • Doświadczenie we wdrażaniu modeli LLM (Large Language Models) i architektur RAG. • Znajomość narzędzi do monitoringu (Prometheus, Grafana, Azure Monitor). • Rozumienie zagadnień sieciowych w chmurze hybrydowej (VPN, VNet, Private Endpoints) – istotne przy integracji z systemami PZU. • Znajomość baz wektorowych (np. w kontekście Azure AI Search). Zadania: • Tworzenie i utrzymanie platformy AI w branży ubezpieczeniowej: • Projektowanie i budowa infrastruktury MLOps/LLMOps: Tworzenie skalowalnego środowiska do trenowania i serwowania modeli przy użyciu Azure Machine Learning, Azure AI Foundry oraz Kubernetes (AKS). • Automatyzacja procesów CI/CD/CT: Implementacja potoków (pipelines) CI/CD dla rozwiązań ML, obejmujących automatyczne testowanie, wersjonowanie danych i modeli (DVC, MLflow) oraz Continuous Training (CT). • Konteneryzacja i orkiestracja: Przygotowywanie obrazów Docker dla modeli AI/GenAI oraz zarządzanie ich wdrożeniami na klastrach Kubernetes w architekturze hybrydowej (integracja z systemami on-premise). • Monitoring i Observability: Wdrożenie zaawansowanego monitoringu modeli (wykrywanie Data Drift/Model Drift), logowania i alertowania, aby zapewnić wysoką dostępność usług AI. • Wsparcie techniczne dla AI Act: Implementacja narzędzi do audytowalności modeli, lineage (śledzenie pochodzenia danych) oraz bezpieczeństwa (zarządzanie dostępem, szyfrowanie) zgodnie z wymogami regulacyjnymi. • Optymalizacja kosztów i wydajności: Zarządzanie zasobami chmurowymi Azure, optymalizacja czasu inferencji modeli oraz skalowanie infrastruktury w zależności od obciążenia.