Kubernetes & Cloud Infrastructure Engineer – AI Platform

🏢 Summary: Cloud Infrastructure Engineer role focused on designing, automating, and operating scalable and secure cloud infrastructure across GCP and AWS using Infrastructure as Code. The position emphasizes Terraform-driven provisioning, cloud security, reliability patterns, and observability in large-scale environments. You will support platform and data teams by building resilient, well-governed cloud foundations. 🗂️ Requirements: 3–7+ years in Cloud Infrastructure, DevOps, Platform Engineering, or SRE, Strong hands-on experience with Terraform, Experience with Infrastructure as Code practices, Deep knowledge of GCP services (Pub/Sub, BigQuery, IAM, Networking), Experience managing complex Terraform state and large-scale environments, Strong understanding of cloud security and IAM, Experience with monitoring, alerting, and observability in cloud environments, Knowledge of distributed systems and scalability patterns, Polish language proficiency, English C1 proficiency 📃 Skills: Terraform, GCP, AWS, PubSub, BigQuery, IAM, Networking, Monitoring, Alerting, Logging, IaC, GitOps, CICD, Security, DistributedSystems 🏢 Description: Role Overview We are looking for a Cloud Infrastructure Engineer to design, build, and operate the cloud infrastructure that supports modern data and application platforms. This role focuses on infrastructure automation, cloud resource management, security, reliability, and operational excellence across large-scale cloud environments. You will play a key role in establishing scalable and resilient cloud foundations, managing Infrastructure as Code, and ensuring secure and efficient provisioning of cloud resources. The position combines hands-on engineering with platform-level thinking, helping development and data teams operate reliably at scale. Key Responsibilities Design, implement, and maintain cloud infrastructure using Infrastructure as Code (Terraform). Manage Terraform modules, state files, and state separation strategies for large-scale cloud environments. Provision, configure, and operate cloud resources across GCP and/or AWS environments. Manage core platform services, including messaging, data storage, identity management, and access controls. Build and maintain cloud-native services such as BigQuery datasets, Pub/Sub topics, IAM roles, and networking components. Implement resilience and reliability patterns, including retry mechanisms, circuit breakers, flow control, and automated recovery processes. Develop monitoring, alerting, logging, and observability solutions to ensure platform stability and operational excellence. Support automated deployment processes, schema versioning, and multi-version release strategies. Enforce cloud security best practices, including least-privilege access, audit logging, governance controls, and compliance requirements. Collaborate closely with platform, engineering, and data teams to improve infrastructure scalability, reliability, and developer productivity. Requirements 3–7+ years of experience in Cloud Infrastructure Engineering, Platform Engineering, DevOps, or Site Reliability Engineering. Strong hands-on experience with Terraform and Infrastructure as Code practices. Deep knowledge of cloud platforms, particularly Google Cloud Platform (GCP), with experience in services such as: Pub/Sub BigQuery IAM Networking Experience managing complex Terraform environments, including state management and large-scale resource provisioning. Strong understanding of cloud security principles, identity and access management, and governance frameworks. Experience implementing monitoring, alerting, and reliability solutions in cloud-native environments. Knowledge of distributed systems, scalability patterns, and operational best practices. Able to speak Polish and English C1 + Nice to Have Experience with AWS cloud services. Knowledge of event-driven architectures and messaging platforms. Experience supporting large-scale data platforms and streaming systems. Familiarity with CI/CD pipelines and GitOps practices. Experience in highly regulated or security-focused environments.

🏢 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 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: 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: 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: Remote B2B Cloud Platform Engineer role focused on designing, building, and operating Azure-based infrastructure using Infrastructure as Code. The position combines cloud engineering and operational support, including maintaining Azure subscriptions, Kubernetes clusters, and resolving incidents. You will collaborate with technical teams to deliver scalable, secure, and reliable cloud environments. 🗂️ Requirements: 3+ years experience with Azure core services (Resource Manager, VMs/Scale Sets, Storage, Networking), 3+ years experience with Azure Kubernetes Service, 2+ years experience with Terraform, 3+ years experience in Windows or Linux administration, Experience designing and maintaining IaaS and PaaS in Azure, Experience troubleshooting cloud infrastructure incidents, Ability to create technical documentation (runbooks, diagrams) 📃 Skills: Azure, AKS, Terraform, ARM, Bicep, AzureDevOps, GitHubActions, Ansible, Kafka, MongoDB, Elasticsearch, Bash, PowerShell, Linux, Windows, Networking, DNS, LoadBalancer, AppGateway, PrivateLink 🏢 Description: Cloud Platform Engineer Work mode: Remote from Poland Type of contract: B2B contract Summary: We are looking for a talented and experienced Cloud Engineer to join our growing team. As well as experience with cloud infrastructure, networking, and security, the Cloud Platform Engineer will be responsible for operating, monitoring, and maintaining our many Azure subscriptions and associated global applications. This is a cloud infrastructure role. As a Cloud Platform Engineer with cloud architecture, you will work closely with other data professionals, software engineers, and business stakeholders to build, maintain and support[CU1] [MU2] efficient, scalable, and secure data pipelines. This role involves both engineering and operations, requiring comfort with project work and handling incident tickets as part of the team. Responsibilities: Design, build and maintain Azure based infrastructure with Terraform modules (IaaS and PaaS resources) as part of new projects or updates needed to production environments Troubleshoot IaaS and PaaS issues raised via SNow incident and meet ticket closure SLA’s Documentation and knowledge sharing: create and maintain environment diagrams, playbooks, runbooks, and best practice documents Communicate with internal business partners including guidance on application design Qualifications: MUST 3+ years of experience with Azure core services: Resource Manager, Virtual Machines/Scale Sets, Storage (Blob/Files), Networking (VNets, NSGs, Load Balancer, App Gateway, DNS, Private Link) 3+ year of experience in Windows or Linux administration, with strong problem-solving abilities 3+ years of experience with Azure Kubernetes Service 2+ years of experience with Terraform Ability to work independently and initiate tasks without supervision and utilize strong interpersonal and organizational skills, including the ability to meet deadlines, work in a team environment, follow written policies and procedures and always maintain superior customer service Excellent problem-solving and analytical skills NICE TO HAVE [MU3] [J(4] Experience with BICEP and/or ARM templates CI/CD and automation: Azure DevOps Pipelines or GitHub Actions (YAML) Familiarity with configuration management tools, preferably Ansible Familiarity with configuring and managing Kafka/MongoDB/Elasticsearch Competency in scripting languages such as Bash, Shell, or PowerShell Strong communication and teamwork skills 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: Platform Engineer / DevOps role focused on building and standardizing multi-cloud Kubernetes environments using Infrastructure-as-Code. The position centers on Terraform-driven provisioning across AWS, Azure, and GCP, GitOps-based deployment automation, and enterprise-grade security and identity integration. The engineer supports internal and client environments, ensuring portable, secure, and reliable cloud-native deployments. 🗂️ Requirements: Strong Terraform experience across AWS Azure and GCP, Hands-on experience with EKS AKS and GKE, Practical knowledge of Kubernetes networking node pools workload identity private clusters ingress storage classes cluster upgrades, Experience with GitOps workflows and Helm release management, Experience with GitHub Actions and OIDC authentication, Experience with Terraform remote state management, Ability to deploy into secure enterprise environments with strict security audit and change-control requirements, Experience debugging Kubernetes CRDs RBAC networking DNS ingress and identity issues, Fluent English, EU residency and valid EU work authorization 📃 Skills: Terraform, Kubernetes, AWS, Azure, GCP, EKS, AKS, GKE, Helm, GitOps, GitHubActions, OIDC, OCI, AzureOpenAI, ACR, KeyVault, Postgres, Databricks, OpenTelemetry, RBAC, DNS, Ingress 🏢 Description: Join Our Team as a Platform Engineer / DevOps - Multi-Cloud IaC Are you a hands-on Infrastructure-as-Code expert who can provision real Kubernetes environments across AWS, Azure, and GCP, while keeping security, auditability, portability, and operational reliability in mind? PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source, Kubernetes-native agentic AI platform. We are looking for a Platform Engineer / DevOps specialist to provision internal environments and support multi-cloud client deployments, with a strong focus on Terraform, Kubernetes, GitOps, and cloud-native identity. This role is ideal for someone who can move between cloud infrastructure, CI/CD, Kubernetes debugging, deployment automation, and client advisory work. Role and Responsibilities As Platform Engineer / DevOps, you will: Provision internal and client environments: Build and maintain repeatable Kubernetes deployment environments across AWS, Azure, and GCP. Own multi-cloud IaC patterns: Use Terraform to define secure, maintainable, portable infrastructure for EKS, AKS, GKE, networking, storage, identity, and deployment dependencies. Build Azure parity: Help establish strong Azure deployment patterns, including AKS, Azure managed identity, Azure OpenAI, Azure networking, Azure Container Registry, Key Vault, Terraform, and GitHub Actions. Support enterprise deployment requirements: Work within client infrastructure constraints, including strict security, audit, change-control, network, registry, and identity requirements. Standardize deployment automation: Improve GitOps workflows, Helm release management, OCI chart/image handling, GitHub Actions/OIDC, Terraform remote state, environment promotion, and cluster bootstrap automation. Integrate with client stacks: Support deployment patterns for Databricks, S3-compatible storage, managed Postgres, OTEL, model gateways, private registries, and cloud-native secret systems. Debug practical failures: Resolve issues around CRDs not being established, unavailable APIService resources, webhook certificates, image pulls, RBAC denials, network policies, DNS, ingress, and cloud identity. Support forward-deployed engineering: Help client teams that lack internal Kubernetes, DevOps, or cloud-platform maturity adopt robust deployment patterns. What We Offer A technically challenging platform mission: Work on a real open-source platform being scaled for enterprise adoption across cloud providers and client-owned environments. A senior, developer-led culture: PortBlueSky publicly positions itself around top 1% technical experts, senior engineering talent, and challenging projects for leading corporations. Remote-first flexibility: Work in a remote-first setup with flexible conditions and a strong work-life balance. High ownership: Shape how environments are provisioned, promoted, secured, upgraded, and supported. Practical impact: Your work will directly affect whether the platform can be adopted by enterprise teams with confidence. About You You are an experienced Platform Engineer, DevOps Engineer, or Cloud Infrastructure Engineer with: Strong Terraform experience across AWS, Azure, and GCP. Hands-on experience with EKS, AKS, and GKE. Practical knowledge of Kubernetes networking, node pools, workload identity, private clusters, managed ingress, storage classes, and cluster upgrade workflows. Experience with GitOps, Helm release management, OCI charts/images, GitHub Actions/OIDC, Terraform remote state, and environment promotion. Experience deploying into client infrastructure or multi-cloud environments with security, audit, and change-control requirements. A preference for portable, vendor-agnostic patterns while still using native cloud identity and infrastructure where appropriate. Strong debugging skills and calmness under deployment pressure. Fluent English and comfort working in a distributed, international team. EU residency and permission to work in the EU. Nice to Have Deep Azure experience, especially AKS, managed identity, Azure OpenAI, Azure Container Registry, Key Vault, and private networking. Experience with Databricks, managed Postgres, OTEL, model gateways, private registries, or enterprise secrets management. Familiarity with agentic AI platforms, Kubernetes-native control planes, MCP/A2A flows, or workflow orchestration. Experience supporting enterprise clients in consulting, staff augmentation, or forward-deployed roles. Technologies & Tools You May Work With Terraform AWS / EKS Azure / AKS GCP / GKE Kubernetes Helm GitHub Actions / OIDC GitOps OCI registries Azure OpenAI Azure Container Registry Azure Key Vault Managed Postgres Databricks OpenTelemetry Private registries Cloud-native identity systems Ready to build the multi-cloud foundations for a serious enterprise AI platform? Apply now and help create deployment patterns that work across real-world client environments. Apply Now!

🏢 Summary: Cloud Platform Engineer role focused on designing, building, operating, and maintaining Azure-based cloud infrastructure across multiple subscriptions and global applications. The position combines infrastructure engineering and operations, including Terraform-based deployments, AKS management, and incident handling. It requires close collaboration with technical teams to deliver secure, scalable, and reliable Azure environments. 🗂️ Requirements: 3+ years experience with Azure core services (Resource Manager, VMs, Scale Sets, Storage, Networking), 3+ years experience with Azure Kubernetes Service, 2+ years experience with Terraform, 3+ years experience in Windows or Linux administration, Experience troubleshooting IaaS and PaaS environments, Ability to manage incidents and meet SLA targets 📃 Skills: Azure, ARM, VMs, ScaleSets, Blob, VNets, NSG, LoadBalancer, AppGateway, DNS, PrivateLink, AKS, Terraform, Windows, Linux, IaaS, PaaS 🏢 Description: ☁️ Azure Cloud Platform Engineer We are looking for a talented and experienced Cloud Engineer to join our growing team. As well as experience with cloud infrastructure, networking, and security, the Cloud Platform Engineer will be responsible for operating, monitoring, and maintaining our many Azure subscriptions and associated global applications. This is a cloud infrastructure role. As a Cloud Platform Engineer with cloud architecture, you will work closely with other data professionals, software engineers, and business stakeholders to build, maintain and support[CU1] [MU2] efficient, scalable, and secure data pipelines. This role involves both engineering and operations, requiring comfort with project work and handling incident tickets as part of the team. Work mode: Hybrid — Prague, Czech Republic (2–3 days in the office) or Bucharest, Romania Type of contract: B2B contract Responsibilities: Design, build and maintain Azure based infrastructure with Terraform modules (IaaS and PaaS resources) as part of new projects or updates needed to production environments Troubleshoot IaaS and PaaS issues raised via SNow incident and meet ticket closure SLA’s Documentation and knowledge sharing: create and maintain environment diagrams, playbooks, runbooks, and best practice documents Communicate with internal business partners including guidance on application design Qualifications: MUST 3+ years of experience with Azure core services: Resource Manager, Virtual Machines/Scale Sets, Storage (Blob/Files), Networking (VNets, NSGs, Load Balancer, App Gateway, DNS, Private Link) 3+ year of experience in Windows or Linux administration, with strong problem-solving abilities 3+ years of experience with Azure Kubernetes Service 2+ years of experience with Terraform Ability to work independently and initiate tasks without supervision and utilize strong interpersonal and organizational skills, including the ability to meet deadlines, work in a team environment, follow written policies and procedures and always maintain superior customer service Excellent problem-solving and analytical skills NICE TO HAVE [MU3] [J(4] Experience with BICEP and/or ARM templates CI/CD and automation: Azure DevOps Pipelines or GitHub Actions (YAML) Familiarity with configuration management tools, preferably Ansible Familiarity with configuring and managing Kafka/MongoDB/Elasticsearch Competency in scripting languages such as Bash, Shell, or PowerShell Strong communication and teamwork skills Benefits: Collaborative and supportive team culture Opportunity to work with global teams and stakeholders Exposure to innovative and impactful projects 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: 12+ month B2B contract for a remote Platform Engineer to design and operate a Kubernetes-based internal cloud platform enabling reliable deployments for application and data teams. The role focuses on building self-service CI/CD capabilities, ensuring platform reliability, security, and observability, and supporting multi-environment, primarily Azure-based, deployments. 🗂️ Requirements: Strong expertise in Kubernetes (AKS and on-prem), Hands-on experience with CI/CD pipelines, Proficiency in Azure DevOps YAML, Solid understanding of platform reliability, observability, and security, Operational experience in multi-cloud environments, Experience working with Microsoft Azure 📃 Skills: Kubernetes, AKS, Azure, AzureDevOps, YAML, CICD, Observability, Security, Multicloud 🏢 Description: Summary: The Platform Engineer role focuses on building and operating a shared cloud platform to facilitate reliable deployments for application and data teams. This position combines platform engineering expertise with DevOps practices and data-platform exposure, particularly concerning Kubernetes environments. What we offer: Contract Length: 12 months+ prolongation Type of contract: B2B Contract Work Model: Remote Main Responsibilities: Design and operate a Kubernetes-based internal platform for application and data workloads. Provide self-service deployment and runtime capabilities for engineering teams via standardized pipelines and templates. Build and maintain CI/CD pipelines as platform components, primarily using Azure DevOps YAML. Operate and evolve platform integrations for data systems , including Snowflake-based workloads. Ensure platform reliability, observability, and security across environments. Support multi-environment and multi-cloud deployments , primarily in Azure. Own operational aspects of the platform, including troubleshooting, incident response, and continuous improvements. Key Requirements: Kubernetes expertise (AKS and on-prem Kubernetes) Experience with CI/CD pipelines, notably Azure DevOps YAML Strong understanding of platform reliability, observability, and security Operational experience in multi-cloud environments (Azure preference) Nice to Have: Experience with Snowflake Familiarity with AWS/GCP Proficiency with Terraform Knowledge of Bash and Python Experience with AI technologies

🏢 Summary: The role involves designing, deploying, and supporting enterprise-grade hybrid infrastructure platforms across on-premise and cloud environments. The engineer is responsible for ensuring stability, scalability, security, and automation of critical systems using HCI, Microsoft, and cloud technologies. The position requires independent task delivery and collaboration within a global, product-oriented environment. 🗂️ Requirements: Bachelor’s degree in IT or related field, Minimum 3 years of experience in enterprise infrastructure deployment and support, Strong knowledge of Nutanix and VMware HCI platforms, Experience with Windows Server (2012–2022), Experience with Active Directory and WSUS, Experience with Microsoft SQL Server (2014–2019), Familiarity with Commvault backup solutions, Basic knowledge of Azure and/or AWS, Basic knowledge of Ansible, Terraform, or Azure Automation, Scripting experience with PowerShell, Fluent English 📃 Skills: Nutanix, VMware, Windows, ActiveDirectory, WSUS, SQLServer, Commvault, Azure, AWS, Ansible, Terraform, AzureAutomation, PowerShell, Lenovo 🏢 Description: Infrastructure Engineer (Enterprise Platforms) Location: Warsaw, Poland About the Role We are looking for an experienced Infrastructure Engineer to join a global Technology & Infrastructure team responsible for designing, operating, and continuously improving enterprise-grade platforms supporting business-critical systems. In this role, you will work within a product-oriented environment, contributing to the stability, scalability, and modernization of hybrid infrastructure solutions across on-premise and cloud environments. You will collaborate closely with engineering teams, product stakeholders, and service providers to ensure secure and high-performing systems. Key Responsibilities Plan, estimate, and deliver infrastructure-related tasks independently Collaborate with product teams and stakeholders to clarify technical requirements Deploy, manage, and support enterprise HCI platforms (Nutanix, VMware) Maintain and optimize Microsoft-based environments (Windows Server, Active Directory, SQL Server) Support hybrid infrastructure environments (on-premise + Azure/AWS) Ensure high standards of reliability, security, and operational excellence Contribute to automation and scripting initiatives (PowerShell, Ansible, Terraform) Work with backup and data protection solutions (e.g., Commvault) Support hardware platforms such as Lenovo ThinkSystem servers Required Experience & Skills Bachelor’s degree in IT or related field Minimum 3 years of hands-on experience in deployment, management, and support of enterprise infrastructure platforms Strong knowledge of HCI environments (Nutanix, VMware) Experience with Windows Server (2012–2022), Active Directory, WSUS Experience with Microsoft SQL Server (2014–2019) Familiarity with backup solutions (e.g., Commvault) Basic knowledge of cloud platforms (Azure and/or AWS) Basic knowledge of automation tools (Ansible, Terraform, Azure Automation) Scripting experience (PowerShell preferred) Strong client-oriented mindset and ownership attitude Ability to work independently and collaboratively in international environments Fluent English Nice to Have Experience with infrastructure automation initiatives Exposure to large-scale enterprise or complex transformation projects