Senior Windows Engineer (GKE / Kubernetes) - Remote Poland

🏢 Summary: B2B contract role focused on providing advanced technical support, development, and troubleshooting for Windows systems within Google Kubernetes Engine (GKE) environments. The position involves resolving complex system and networking issues, improving CI/CD pipelines, and contributing to feature development for Windows support in Kubernetes. Requires strong expertise in Windows internals, containerized environments, and GKE operations. 🗂️ Requirements: 5–8 years of relevant experience, Strong expertise in Windows systems and networking, Hands-on experience with Google Kubernetes Engine (GKE), Experience with Kubernetes in production environments, Ability to perform Windows system-level and kernel debugging, Experience with crash dump analysis, Experience managing and optimizing CI/CD pipelines, Experience maintaining automated build and test suites, Ability to diagnose containerized Windows application issues, Experience with root cause analysis and code-level fixes 📃 Skills: Windows, GKE, Kubernetes, CI/CD, Networking, PowerShell, C++, CrashDump, Containers, Git, Azure, TCP/IP 🏢 Description: We are seeking a highly skilled and motivated Windows Networking & GKE to join our dynamic Technology Services team. Candidates are expected to work from the office full-time (5 days) during the first week for onboarding, setup, and to get familiar with the team and client environment teams. B2B Contract After the onboarding period, presence in the Warsaw office will be required approximately 1–2 days per month . Job Description: Provide specialized technical services for Windows systems and networking within Google Kubernetes Engineers (GKE) environments (incl. Kubernetes). Respond to and resolve incidents and bugs related to GKE Windows, including root cause analysis, and implementing code changes as necessary to address issues. Contribute to the design and development of new features and enhancements for Windows support within GKE. Maintain, troubleshoot, and improve automated build and test suites for GKE Windows components. Manage, enhance, and optimize CI/CD pipelines for GKE Windows components. Perform advanced Windows system-level and kernel debugging, including but not limited to crash dump analysis, to diagnose and resolve complex issues. Diagnose and resolve intricate system and network issues, particularly those affecting containerized Windows applications running on Kubernetes. Enable, test, and qualify new compute and storage features for New Product Introductions (NPIs) within the GKE Windows environment. Thoroughly document investigation findings, issue resolutions, code changes, and system improvements for Google engineering teams. Perform other related tasks and responsibilities as mutually agreed upon by both parties. 5-8 years of relevant experience 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: Contract roles within a large-scale cloud and platform engineering programme focused on Windows-based Kubernetes (GKE) environments and low-level networking. The positions involve enhancing Windows systems, troubleshooting complex networking and container issues, and contributing to CI/CD automation and platform improvements in a global setup. Remote EU work with periodic travel to Warsaw. 🗂️ Requirements: Strong experience in Windows networking or network driver development, Experience with Windows kernel-level debugging and crash analysis, Hands-on experience with Kubernetes (GKE preferred), Experience with CI/CD pipelines and automation, Knowledge of low-level networking concepts, Ability to troubleshoot complex system and container issues, EU-based and availability for regular travel to Warsaw 📃 Skills: Windows, Kubernetes, GKE, Networking, Kernel, CI/CD, Automation, OpenvSwitch, Antrea, Go 🏢 Description: Join a large-scale cloud and platform engineering programme within a global technology environment, working on Windows-based Kubernetes (GKE) systems and networking layers . Send CV to (marcillina.tietjen@dcvtechnologies.co.uk if you are interested. 📍 EU Remote | ✈️ Travel to Warsaw (1–2x/month) | 💼 Contract | DCV-JO-WP-24.04.2026 Open Roles (3 Positions) 2x Windows Networking Engineers (Network Driver / Low-level Networking) 1x Windows + Kubernetes Engineer (Platform / GKE focus) Key Responsibilities Support and enhance Windows systems within Kubernetes (GKE) Troubleshoot system, networking, and container issues Perform Windows kernel-level debugging & crash analysis Work on CI/CD pipelines and automation Investigate and resolve complex production issues Contribute to feature development and system improvements Collaborate with global engineering teams Must Have (Core Skills) 🔹 For Windows Networking Roles: Strong experience in Windows networking / network driver development Exposure to low-level networking (Open vSwitch / Antrea – or willingness to learn) 🔹 For Windows + Kubernetes Role: Kubernetes (GKE preferred) Windows debugging (system-level) CI/CD pipelines & automation Go (nice to have) ⚙️ Tech Stack Windows Kernel | Kubernetes (GKE) | CI/CD | Networking | Open vSwitch | Antrea | Automation 📍 Working Model Remote (EU candidates only) Initial: 5 days onsite in Warsaw (onboarding) Ongoing: 1–2 visits/month to Warsaw Timezone overlap with US (Google teams) required

🏢 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 an experienced DevOps Engineer responsible for maintaining and developing Kubernetes-based container environments and supporting business applications in production. The role focuses on ensuring infrastructure stability, automation of CI/CD processes, and resolving system incidents. It includes optimization, hardening, and continuous improvement of container platforms. 🗂️ Requirements: Several years of experience as DevOps Engineer, Practical knowledge of Kubernetes and container environments, Experience with CI/CD tools, Ability to diagnose and resolve production issues, Strong knowledge of Linux and/or Windows Server 📃 Skills: Kubernetes, Docker, GitLab, CI/CD, Linux, Windows, MS SQL, Grafana, Zabbix 🏢 Description: DevOps Engineer (Kubernetes) Poszukujemy doświadczonego DevOps Engineera, który będzie odpowiedzialny za utrzymanie oraz rozwój nowoczesnych środowisk kontenerowych i wsparcie aplikacji biznesowych. Zakres obowiązków: Utrzymanie i rozwój środowisk opartych o Kubernetes Zapewnienie ciągłości działania oraz optymalizacja infrastruktury Aktualizacje, hardening oraz rozwiązywanie problemów w środowiskach kontenerowych Wsparcie aplikacji działających w środowiskach produkcyjnych Automatyzacja procesów wdrożeniowych (CI/CD) Analiza i rozwiązywanie incydentów oraz problemów systemowych Współpraca z zespołami technicznymi oraz zewnętrznymi dostawcami Tworzenie i utrzymywanie dokumentacji technicznej Wymagania: Kilkuletnie doświadczenie na stanowisku DevOps Engineer Praktyczna znajomość Kubernetes oraz środowisk kontenerowych Doświadczenie w pracy z narzędziami CI/CD Umiejętność diagnozowania i rozwiązywania problemów w środowiskach produkcyjnych Dobra znajomość systemów Linux oraz/lub Windows Server Samodzielność i dobra organizacja pracy Technologie: Kubernetes, GitLab lub inne narzędzia CI/CD Systemy baz danych (np. MS SQL) Linux / Windows Server Narzędzia monitoringu (np. Grafana, Zabbix lub podobne)

🏢 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: DevOps Engineer role focused on maintaining and enhancing a complex, on-premise Kubernetes-based automation platform deployed globally. The position involves advanced troubleshooting across Linux, containers, networking, storage, and GPU layers, as well as building automation and observability to reduce on-site interventions. Includes international travel and participation in an on-call rotation to support production systems. 🗂️ Requirements: Strong Linux (Ubuntu) administration and troubleshooting experience, Hands-on Kubernetes cluster management and troubleshooting, Practical Docker experience, Solid networking diagnostics skills, Experience with NFS and storage troubleshooting, Operational knowledge of GPU/CUDA environments, Experience with RabbitMQ, Experience with PostgreSQL, Ability to handle production incidents across infrastructure and application layers, Willingness to participate in on-call rotation, Readiness for international travel and on-site support 📃 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. The DevOps role goes beyond reactive incident handling. A key objective of the project is to systematically reduce the need for on-site interventions by developing automated monitoring, diagnostics, and recovery mechanisms. 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 Collaboration and Architecture Improvement Close cooperation with development and architecture teams Contributing to architecture simplification and standardization Improving overall system stability and reliability Supporting long-term efforts to reduce operational overhead and manual interventions 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 Salary: 20–28k PLN B2B base + action fee Flexible working hours Remote work options Medical care program MultiSport Integration events A contract of employment or self-employment, depending on You

🏢 Summary: Hands-on DevOps Engineer role focused on building and operating automation, deployment, and reliability standards for large-scale GPU infrastructure supporting AI training and inference. The position involves Infrastructure as Code, CI/CD, observability, security, and low-level automation across bare-metal servers, networking, storage, and Kubernetes-based platforms. The role emphasizes reliability, scalability, and automation in complex, high-performance environments. 🗂️ Requirements: 4–7 years in DevOps, SRE, or Platform Engineering, Experience with infrastructure automation in production environments, Hands-on experience with Terraform or Ansible, Experience building and maintaining CI/CD pipelines, Knowledge of GitOps practices, Understanding of infrastructure security and vulnerability management, Experience with security tools (e.g., Snyk, CrowdStrike), Practical experience with Kubernetes, Experience with GPU technologies (e.g., NVIDIA GPU Operator, MIG), Scripting or programming skills in Python, Go, or Bash, Experience with bare-metal provisioning or low-level infrastructure automation, Knowledge of observability tools (Prometheus, Grafana, Loki, OpenTelemetry) 📃 Skills: Terraform, Ansible, Kubernetes, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, Snyk, CrowdStrike, NVIDIA, MIG, CI/CD, GitOps 🏢 Description: About the role We are looking for a DevOps Engineer to help build and operate automation, deployment, and reliability standards for large-scale GPU infrastructure used for AI training and inference workloads. In this role, you will work on software-defined infrastructure supporting GPU clusters, high-performance networking, storage platforms, and internal AI services. This is a hands-on position for someone who is comfortable working close to infrastructure, improving operational processes, and building reliable automation in a complex technical environment. Responsibilities Design, implement, and maintain Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Support reliability initiatives by defining and tracking SLIs/SLOs , automating incident response, and contributing to post-incident analysis Automate operational tasks such as cluster scaling, firmware and BIOS updates, hardware validation, diagnostics, and capacity planning Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify repetitive manual work and replace it with efficient automation Evaluate new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 4–7 years of experience in DevOps, SRE, Platform Engineering , or a similar role Strong practical experience with infrastructure automation in complex production environments Good hands-on knowledge of Terraform, Ansible , or similar Infrastructure as Code tools Experience building and maintaining CI/CD pipelines and working with GitOps practices Good understanding of infrastructure security, vulnerability management, and security best practices Experience with security tools such as Snyk, CrowdStrike , or similar solutions Practical experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, low-level infrastructure automation, or data center operations Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Ability to work independently, prioritize tasks, and communicate effectively with technical teams English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering teams Understanding of compliance and audit requirements in security-sensitive environments What we offer Benefits package Opportunity to work on advanced infrastructure supporting large-scale AI workloads Real impact on the reliability and scalability of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A fast-moving environment with space for ownership, technical input, and professional growth

🏢 Summary: Back-End Engineer role focused on building and maintaining cloud-native compliance and monitoring systems for financial environments. The position involves developing scalable, distributed backend services in C#/.NET Core running on AWS and Kubernetes. You will contribute to a modern, evolving tech stack with strong emphasis on solid backend engineering fundamentals. 🗂️ Requirements: Strong experience with C# and .NET Core, Hands-on experience with AWS, Hands-on experience with Kubernetes, Understanding of distributed systems, Experience building backend services, Experience with cloud-native architectures 📃 Skills: C#, .NET, AWS, Kubernetes, Lambda, S3, Kafka, Redis, Airflow, gRPC, Snowflake, SQLServer, OpenTelemetry 🏢 Description: Back-End Engineer (.NET | AWS | Kubernetes) We’re looking for a Back-End Engineer (regular or senior level) to join a team building cloud-native compliance/monitoring systems used in financial environments. You’ll work on backend services in C#/.NET Core , contributing to scalable, distributed platforms running on AWS and Kubernetes . The tech stack is modern and evolving — the more exposure to new technologies, the better, though solid backend fundamentals matter most. We’re looking for: Strong backend experience with C#/.NET Hands-on AWS and Kubernetes (preferred) Understanding of distributed systems Experience with compliance or monitoring systems is a big plus Openness to working with modern, cloud-native technologies Tech environment includes: .NET Core / C#, AWS (Lambda, S3), Kubernetes, Kafka, Redis, Airflow, gRPC, Snowflake, SQL Server, OpenTelemetry. Why join: Work on mission-critical systems supporting compliance and market integrity High engineering standards, ownership, and stability Flexible, pragmatic technical leadership

🏢 Summary: The offer is for an experienced DevOps Engineer to design, automate, and maintain cloud infrastructure in a regulated banking environment using Google Cloud Platform. The role focuses on managing GCP resources, Kubernetes clusters, Infrastructure-as-Code, and CI/CD pipelines to ensure secure and stable mission-critical systems. It requires hands-on cloud engineering and automation expertise within a distributed team. 🗂️ Requirements: Minimum 3 years of experience managing virtual machines in GCP (Compute Engine), Hands-on experience with Kubernetes (GKE), Experience creating and maintaining Infrastructure-as-Code with Terraform, Experience building and maintaining CI/CD pipelines, Practical experience with Python scripting, Understanding of software development best practices, Fluency in Polish and English, Willingness to work hybrid model in Cracow, Residence in Poland 📃 Skills: GCP, ComputeEngine, Kubernetes, GKE, Terraform, CI/CD, Python, CloudLogging, CloudMonitoring 🏢 Description: Join our team and contribute to the design, development, and ongoing maintenance of infrastructure within regulated banking environments. We are seeking an experienced DevOps Engineer with hands‑on expertise in Google Cloud Platform, who will play a key role in ensuring the stability, security, compliance, and automation of mission‑critical systems. Your tasks Managing virtual machine environments and containerized applications in Google Kubernetes Engine (GKE) Monitoring and troubleshooting GCP environments using Cloud Logging, Cloud Monitoring, and Alerting Policies Creating and maintaining Infrastructure‑as‑Code (IaC) using Terraform Designing, building, and maintaining CI/CD pipelines to automate software delivery Developing and maintaining automation scripts using Python to improve operational efficiency Ensuring compliance with software development best practices, security standards, and organizational policies Analyzing and fulfilling requests from internal customers Collaborating within a globally distributed team in a dynamic environment Requirements At least 3 years of experience managing virtual machine environments in GCP (Compute Engine) Hands-on experience with Kubernetes (GKE) Expertise in creating and maintaining Infrastructure-as-Code with Terraform Strong understanding of CI/CD concepts and experience in building automated workflows Practical knowledge of Python for scripting and automation tasks Awareness of the need to follow best practices in software development Ability to work in a global, distributed team Fluency in both Polish and English (spoken and written) Willingness to work in a hybrid model – 3 day per week in the Cracow office Residing in Poland required What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People If you want to work on systems with high operational significance — apply now!

🏢 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.