Senior Azure DevOps Engineer

🏢 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: Platform Engineer role focused on designing, building, and maintaining Azure-based cloud infrastructure, Kubernetes clusters, and shared CI/CD pipelines. The position centers on Azure DevOps pipeline templates, Infrastructure as Code with Terraform, and automation for .NET application deployments. The role ensures secure, standardized, and reliable platform operations across environments. 🗂️ Requirements: Hands-on experience with Azure Kubernetes Service (AKS) configuration and operations, Strong knowledge of CI/CD principles and GitFlow branching strategy, Experience building and maintaining Azure DevOps YAML pipelines, Proficiency in PowerShell Core 7+ scripting and module development, Experience with Terraform modules and state management, Experience with Azure services (Key Vault, ACR, Service Bus, SQL Database, Storage, Managed Identities, RBAC), Knowledge of .NET build and containerization processes, Understanding of Azure networking (VNets, NSGs, private endpoints, DNS, ingress), Experience managing multi-stage deployment pipelines, Ability to design and maintain Infrastructure as Code solutions 📃 Skills: Azure, AKS, AzureDevOps, YAML, Terraform, PowerShell, Kubernetes, Helm, Docker, ACR, .NET, NuGet, SQL, DACPAC, ServiceBus, KeyVault, RBAC, ManagedIdentities, VNets, NSG, DNS, OpenShift, SonarQube, Keycloak, AzureCLI 🏢 Description: About the Role The Platform Engineer is a key member of the Platform Team, responsible for enabling development, deployment, and operation of applications across the organization. You will design, build, and maintain the shared foundations — pipelines, infrastructure, and tooling — that development teams rely on to ship software faster, more securely, and more reliably. You will own and evolve a shared Azure DevOps pipeline template library consumed by all application teams, manage Azure Kubernetes Service (AKS) clusters (including confidential compute), and automate infrastructure provisioning using Infrastructure as Code. Key Responsibilities Platform Engineering & Infrastructure Design, build, and maintain Azure Kubernetes Service (AKS) clusters — both private and public — including node pool configuration, networking, ingress, autoscaling, and confidential compute workloads. Manage and evolve the Azure cloud platform: subscriptions, resource groups, Key Vault, Azure Container Registry, Service Bus, Storage Accounts, and SQL databases. Operate and support OpenShift environments where applicable. Ensure platform security, reliability, and compliance with organizational standards (network policies, managed identities, TLS, RBAC). CI/CD Pipeline Development & Maintenance Develop and maintain shared, reusable CI/CD pipeline templates (YAML) in Azure DevOps, consumed by all application repositories across the organization. Build and optimize multi-stage deployment pipelines covering build, test, package, and deploy for .NET 8 applications, including container image builds (Docker/ACR), database deployments (DACPAC/sqlpackage), and Service Bus provisioning. Author and maintain PowerShell Core 7+ modules and scripts that drive pipeline logic — configuration generation, deployment map parsing, secret retrieval, Terraform variable construction, and Helm-based deployments. Ensure pipelines enforce security, quality gates (SonarQube), and environment promotion controls (DEV → TST → VAL → Manual Gate → PRD). Standardize deployment patterns so all project teams follow consistent, auditable release workflows. Infrastructure as Code (IaC) Design, author, and maintain Terraform modules for provisioning and configuring Azure resources: AKS workloads (via Helm provider), Keycloak identity clients, SQL users, managed identities, Key Vault HSM keys, and Service Bus RBAC. Automate provisioning, scaling, and lifecycle management of infrastructure resources using Terraform, Azure CLI, and PowerShell. Manage Terraform state (Azure Storage backend with AAD auth) and ensure safe, repeatable deployments across environments. Repository & Azure DevOps Administration Administer the shared Common/devops repository and associated deployment configuration repositories. Support version control practices, branching strategy (GitFlow: DEV/MAIN/hotfix), and PR validation workflows. Manage Azure DevOps service connections, agent pools, variable groups, and environment approvals. Collaboration & Enablement Serve as the bridge between infrastructure and application development teams, helping them integrate platform capabilities into their workflows. Provide guidance and support on platform standards, deployment map configuration, pipeline extension patterns, and troubleshooting. Write and maintain documentation (README, schema references, onboarding guides) for consuming teams. Review contributions to shared platform code for architectural consistency and backward compatibility. Key Requirements - Hands-on experience operating and configuring Azure Kubernetes Service — networking, ingress, node pools, autoscaling, confidential compute, Helm chart deployments. - Strong understanding of CI/CD principles, GitFlow branching, environment promotion, and deployment automation. - Familiarity with .NET 10 build toolchain (dotnet build), NuGet, solution/project structure, and containerizing .NET applications. - Proficiency in PowerShell Core 7+ — writing modules (.psm1), classes, Pester 5+ tests, and robust scripting with proper error handling. - Broad experience with Azure services: Key Vault, Container Registry, Service Bus, Storage Accounts, SQL Database, Managed Identities, RBAC. - Understanding of cloud architecture principles — scalability, high availability, security, cost management. - Experience with Azure DevOps (TFS) — YAML pipelines, extends templates, repositories, service connections, agent pools, artifacts. - Ability to author and maintain multi-stage YAML pipeline templates with parameterization, conditions, and template composition. - Experience writing and maintaining Terraform configurations — modules, providers (azurerm, helm, keycloak, mssql, kubernetes), state management, plan/apply workflows. - Understanding of network concepts relevant to AKS and Azure — VNets, NSGs, private endpoints, DNS, ingress controllers, proxy configuration. - Ability to reason about system architecture — separation of concerns, shared platform design, module boundaries, and extensibility. Nice to Have - Experience with Keycloak or OpenID Connect identity management. - Familiarity with Docker and container image build optimization. - Knowledge of database deployment automation (DACPAC, sqlpackage). - Experience with SonarQube or similar code quality tooling. - Familiarity with confidential computing on Azure. - Experience with OpenShift container platform.

🏢 Summary: Cloud Engineer role focused on automating and securing global Azure infrastructure by transforming network and security processes into scalable Infrastructure-as-Code. The position bridges Network Infrastructure and DevOps, driving cloud networking architecture, DevSecOps integration, and CI/CD automation. Responsible for ensuring architectural stability, security enforcement, and automated multi-region Azure deployments. 🗂️ Requirements: Expert-level Terraform experience, Deep practical knowledge of Microsoft Azure networking, Experience designing complex network topologies (V-WAN, VNET, BGP), Hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or Jenkins), Proficiency in scripting (Python, PowerShell, or YAML), Experience implementing Policy-as-Code and security benchmarks (NIST/CIS), Strong knowledge of DevSecOps practices and automated security testing, Experience managing and automating firewall configurations, Experience working in Agile/Scrum/SAFe environments 📃 Skills: Azure, Terraform, V-WAN, VNET, BGP, DevSecOps, CI/CD, AzureDevOps, GitHubActions, Jenkins, Python, PowerShell, YAML, NIST, CIS, Firewall, Agile, Scrum, SAFe 🏢 Description: The Mission We are looking for a highly skilled Cloud Engineer to bridge the gap between Network Infrastructure and DevOps. Your role is to transform manual networking and security tasks into scalable, automated Infrastructure-as-Code (IaC) . You will be responsible for the architectural stability, security enforcement, and automated deployment of our global Azure footprint. Core Responsibilities Infrastructure Automation: Architect and maintain robust IaC patterns using Terraform to ensure consistent, repeatable deployments. Cloud Networking: Design and optimize complex network topologies (V-WAN, VNET, BGP) across multi-region environments. Security Integration (DevSecOps): Implement Policy-as-Code (NIST/CIS benchmarks) to automate security gating and remediation. CI/CD Orchestration: Build and refine end-to-end pipelines (Azure DevOps, GitHub Actions) to automate the lifecycle of cloud resources. Network Security: Manage and automate firewall workflows, ensuring security protocols are integrated directly into the deployment process. Innovation & Troubleshooting: Resolve complex infrastructure bottlenecks and evaluate emerging tools to keep our stack at the cutting edge. Technical Profile Azure Expert: Deep practical knowledge of Microsoft Azure and its networking ecosystem. IaC Champion: Expert-level Terraform skills are non-negotiable. Automation Mindset: Proficient in scripting (Python, PowerShell, or YAML) to drive self-service infrastructure. DevOps Guru: Proven track record of managing environments via CI/CD (ADO, Jenkins, or GitHub). Methodology: Comfortable working in Agile/Scrum/SAFe environments, understanding both the "how" (code) and the "why" (business delivery). Security-First: Solid grasp of DevSecOps, including automated testing frameworks and operational stability controls.

🏢 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: Design and deliver production-grade Kubernetes platforms across Azure (AKS) and on-prem environments for critical in-house applications. The role focuses on portability, reliability, observability, and secure container lifecycle management. You will architect, deploy, and migrate Kubernetes workloads while defining networking, storage, and security standards. 🗂️ Requirements: 6–8+ years of experience with Linux and container platforms, Deep expertise in Kubernetes (managed and on-prem), Strong understanding of cloud-native architectures, Experience designing Kubernetes networking, storage, and security, Hands-on experience with PostgreSQL in cloud or containerized environments, Infrastructure-as-Code experience, Strong troubleshooting and performance tuning skills 📃 Skills: Kubernetes, AKS, Docker, OpenTofu, Terraform, Bicep, Helm, ArgoCD, Flux, PostgreSQL, Linux, Azure, GitOps 🏢 Description: Tech stack: Kubernetes (AKS & on‑prem) Docker OpenTofu / Terraform / Bicep Helm GitOps tools (ArgoCD, Flux) PostgreSQL Linux Requirements: 6–8+ years of experience with Linux and container platforms Deep expertise in Kubernetes (managed and on‑prem) Strong understanding of cloud‑native architectures Experience designing Kubernetes networking, storage, and security Hands‑on experience with PostgreSQL in cloud or containerized setups Infrastructure‑as‑Code experience Strong troubleshooting and performance tuning skills Nice to have: ELK stack experience Azure Administrator certification or experience Open‑source storage solutions (Ceph, Longhorn) Policy engines (OPA, Kyverno) Experienced in using AI tools in day-to-day workflow Project description: You will design and deliver production‑grade Kubernetes platforms across cloud and on‑prem environments hosting critical in‑house applications. The role focuses on portability, reliability, observability, and secure container lifecycle management. Main responsibilities: Design and deploy on‑prem and AKS Kubernetes clusters Enable workload portability between Azure and on‑prem Define networking, ingress, storage, and security patterns Deliver Kubernetes workload migrations Build container image lifecycle processes Collaborate closely with Platform Engineers and Infrastructure teams

🏢 Summary: Senior Cloud Engineer role focused on designing, automating, and maintaining enterprise-scale multi-cloud environments across Azure and AWS. The position centers on Infrastructure as Code, VM provisioning, OS image engineering, compliance automation, and CI/CD operations in secure, highly scalable environments. You will build reliable cloud automation solutions and support platform reliability in complex enterprise ecosystems. 🗂️ Requirements: 3+ years in Cloud Engineering, DevOps, or Platform Engineering, Hands-on experience with Azure and AWS, Experience with Infrastructure as Code (Terraform or CloudFormation), Strong scripting skills (Python, PowerShell, Bash, Shell), Experience with CI/CD pipelines and GitHub Actions, Knowledge of cloud networking, IAM, and cloud security, Experience with Ansible or configuration management tools, Experience with Linux and Windows systems 📃 Skills: Azure, AWS, Terraform, CloudFormation, Python, PowerShell, Bash, Shell, Ansible, GitHub, CI/CD, Packer, Kubernetes, Linux, Windows, IAM, OIDC 🏢 Description: Senior Cloud Engineer About the role We are looking for an experienced Senior Cloud Engineer to join a global infrastructure and cloud automation team responsible for designing, automating, and maintaining enterprise-scale multi-cloud environments across Azure and AWS. In this role, you will focus on cloud infrastructure automation, VM provisioning, OS image engineering, compliance automation, and CI/CD operations in highly scalable and secure environments. You will work closely with platform, infrastructure, and security teams to build reliable and auditable cloud solutions. This position is ideal for someone with strong hands-on experience in Infrastructure as Code, cloud automation, and DevOps practices who enjoys working in complex enterprise ecosystems. Key Responsibilities Multi-Cloud Infrastructure & Automation Design and maintain automated VM provisioning workflows across Azure and AWS environments Develop and maintain Infrastructure as Code solutions using Terraform and CloudFormation Build and maintain CI/CD pipelines and deployment automation processes Manage GitHub Actions integrations and cloud identity federation mechanisms Support event-driven cloud automation workflows Maintain post-provisioning automation using Ansible, PowerShell, and Bash scripting Troubleshoot incidents and ensure platform reliability across multiple environments OS Image Engineering & Compliance Design and maintain secure OS golden images for Azure and AWS platforms Develop and maintain Packer templates for automated image creation Implement OS hardening and compliance standards for Windows and Linux systems Manage integration of security and compliance tooling into cloud environments Support patching, compliance, and lifecycle management processes Cloud Operations & Platform Engineering Maintain monitoring, compliance, and maintenance automation across cloud platforms Support infrastructure scalability, reliability, and disaster recovery capabilities Collaborate with engineering, infrastructure, and security teams on platform improvements Prepare and maintain technical documentation and operational procedures Requirements 3+ years of experience in Cloud Engineering, DevOps, or Platform Engineering roles Strong hands-on experience with Azure and AWS cloud platforms Experience with Infrastructure as Code tools such as Terraform or CloudFormation Strong scripting skills in Python, PowerShell, Bash, or Shell Experience with CI/CD pipelines and GitHub Actions Knowledge of cloud networking, IAM, and cloud security best practices Experience with automation and configuration management tools such as Ansible Experience working with Linux and Windows environments Strong troubleshooting and problem-solving skills Good communication and collaboration skills Nice to have Experience with Packer and image automation Experience with Azure Entra ID / OIDC federation Knowledge of monitoring and observability tools Experience with Kubernetes or containerized environments Cloud certifications (AWS or Azure) Experience in enterprise-scale multi-cloud environmentsd

🏢 Summary: Contract role for an experienced Cloud Platform Engineer to design, operate, and maintain scalable and secure Azure cloud infrastructure in a global environment. The position focuses on Azure IaaS/PaaS, AKS, and Terraform, ensuring operational stability, SLA compliance, and infrastructure automation. Fully remote within Poland with a strong emphasis on cloud operations and platform engineering. 🗂️ Requirements: 7+ years overall IT experience, 3+ years experience with Azure core services, 3+ years Windows or Linux administration, 3+ years experience with Azure Kubernetes Service (AKS), 2+ years experience with Terraform, Experience troubleshooting Azure IaaS and PaaS issues, Ability to manage and maintain Azure subscriptions, Experience with infrastructure as code, Strong problem-solving and analytical skills 📃 Skills: Azure, AKS, Terraform, ARM, BICEP, Windows, Linux, ServiceNow, AzureDevOps, GitHubActions, YAML, Ansible, Kafka, MongoDB, Elasticsearch, Bash, Shell, PowerShell, DNS, VNet, NSG, LoadBalancer, AppGateway, PrivateLink 🏢 Description: We are currently looking for an experienced Cloud Platform Engineer to support cloud infrastructure, operations, and platform engineering activities within a global environment. As a Cloud Platform Engineer, you will be responsible for operating, monitoring, and maintaining Azure subscriptions and associated applications. You will work closely with engineering and business teams to build, maintain, and support scalable and secure cloud infrastructure. Send CV to marcillina.tietjen@dcvtechnologies.co.uk if interested. 📍 Location: Poland (Remote) 💼 Role Type: Contract 🧠 Experience: 7+ years Key Responsibilities Design, build and maintain Azure infrastructure using Terraform (IaaS & PaaS) Troubleshoot Azure IaaS and PaaS issues via ServiceNow incidents Ensure SLA adherence for ticket resolution Create and maintain documentation (runbooks, playbooks, diagrams) Communicate with business stakeholders and support application design Must-Have Skills 3+ years Azure core services: Resource Manager, Virtual Machines/Scale Sets, Storage (Blob/Files), Networking (VNets, NSGs, Load Balancer, App Gateway, DNS, Private Link) 3+ years Windows or Linux administration 3+ years Azure Kubernetes Service (AKS) 2+ years Terraform Strong problem-solving and analytical skills Ability to work independently and within a team Nice to Have BICEP or ARM templates CI/CD (Azure DevOps Pipelines or GitHub Actions – YAML) Ansible Kafka / MongoDB / Elasticsearch Bash / Shell / PowerShell scripting

🏢 Summary: The offer is for an experienced Azure DevOps Engineer to design, automate, and operate cloud-native platforms and large-scale distributed systems in an international environment. The role focuses on building and maintaining CI/CD pipelines, managing Azure infrastructure, and supporting scalable, secure deployments. You will work with cross-functional teams to ensure reliable delivery and high availability of cloud-based systems. 🗂️ Requirements: Completed degree in Computer Science or related technical field, 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering, Strong hands-on experience with Microsoft Azure and core services, Experience with GitHub and CI/CD pipelines using GitHub Actions, Proven experience with Infrastructure as Code using Terraform, Hands-on experience with Apache Kafka configuration, monitoring, and troubleshooting, Experience with Docker and Kubernetes in production, Understanding of microservices architectures and distributed systems, Fluent English and Polish 📃 Skills: Azure, AKS, GitHub, GitHubActions, Terraform, Kafka, Docker, Kubernetes, CI/CD, Microservices, Java, Networking, Storage, Identity 🏢 Description: Responsibilities We are looking for an experienced Azure DevOps Engineer who wants to work on modern cloud-native platforms and large-scale distributed systems in an international environment. You will be responsible for designing , automating , and operating cloud infrastructure and deployment processes, working closely with developers, architects, and platform teams to ensure reliable and scalable delivery. Your key responsibilities include: Design and maintain CI/CD pipelines using GitHub Actions to support automated and efficient delivery processes. Manage, optimize, and secure Azure cloud environments , ensuring high availability, scalability, and performance. Deploy, monitor, and troubleshoot Apache Kafka clusters within distributed system landscapes. Implement and maintain Infrastructure as Code using Terraform for scalable and repeatable environments. Support development teams in integrating Java-based applications into automated deployment workflows. Drive automation of operational processes and continuously improve deployment efficiency across the platform. Ensure compliance with security standards, best practices, and internal governance policies. Collaborate with cross-functional teams in an international environment and participate in incident management and on-call support . Qualifications Completed university degree in Computer Science or a comparable technical field. 5+ years of experience in DevOps , Cloud Engineering , or Platform Engineering roles. Strong hands-on experience with Microsoft Azure and core cloud services ( AKS , networking, storage, identity). Experience with GitHub and CI/CD pipelines, especially GitHub Actions . Proven experience implementing Infrastructure as Code using Terraform . Hands-on experience with Apache Kafka including configuration , monitoring , and troubleshooting . Experience with Docker and Kubernetes in production environments. Good understanding of microservices architectures and distributed systems. Fluent communication skills in English and Polish Nice to have: Experience with Apache Flink and stream processing technologies. Knowledge of Azure Data Explorer (ADX) and advanced KQL . Experience with Redis , Azure Sentinel , or SIEM solutions. Familiarity with NIST - 800 or similar security frameworks. Experience with observability tools such as OpenTelemetry , Prometheus , Grafana , or Azure Monitor . About Cluster Reply Cluster Reply is the Reply Group company specializing in consulting and system integration of Microsoft technologies. As a Microsoft partner, Cluster Reply is active in Germany, Austria and Switzerland and works within the Reply network with sister companies in Brazil, Great Britain, Italy as well as the USA. The company focuses on innovation and supports customers in their digital transformation. The solutions range from on-premises to cloud applications in the areas of modern workplace and security, business applications, applications and infrastructure as well as data and artificial intelligence.

🏢 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: Backend engineering role focused on designing, building, and operating scalable, event-driven services on Microsoft Azure. The position covers full ownership of backend systems, including architecture, infrastructure as code, container orchestration, CI/CD automation, and data management. It emphasizes microservices, distributed systems, and cloud-native DevOps practices. 🗂️ Requirements: Extensive experience in backend development with C# and .NET, Strong practical knowledge of Microsoft Azure core services, Hands-on experience with AKS and APIM, Experience with distributed messaging systems (Azure Service Bus or Kafka), Proven experience with microservices and distributed systems, Experience with relational and NoSQL databases, Hands-on experience with CI/CD automation tools, Practical experience with Terraform and Infrastructure as Code 📃 Skills: C#, .NET, Azure, AKS, APIM, Kafka, ServiceBus, Terraform, Kubernetes, CI/CD, SQL, CosmosDB, Microservices, AppInsights, LogAnalytics 🏢 Description: Key Responsibilities: End-to-End Product Engineering: Own the entire lifecycle of backend services and APIs—from initial architecture design and coding to comprehensive testing and production deployment. Event-Driven Ecosystems: Architect and maintain highly scalable, asynchronous solutions on Microsoft Azure , utilizing Azure Service Bus or Kafka for robust messaging. Infrastructure as Code (IaC): Orchestrate and manage cloud environments using Terraform , ensuring all infrastructure aligns with enterprise security and performance benchmarks. Container Orchestration: Deploy and fine-tune containerized workloads within Azure Kubernetes Service (AKS) environments. DevOps Ownership: Drive the automation of build, test, and release cycles, taking full accountability for the CI/CD pipelines of your assigned services. Data Persistence & Management: Design efficient data storage strategies (SQL, Cosmos DB, Storage) and expose secure, high-performance interfaces through Azure API Management (APIM) . Strategic Collaboration: Partner with architects and platform teams to monitor system health via App Insights/Log Analytics, ensuring continuous reliability and optimization. Required Skills & Experience: Technical Mastery: Extensive professional experience in backend development using C# and the .NET ecosystem . Cloud Expertise: Deep practical knowledge of Microsoft Azure core services, specifically AKS, APIM, and distributed messaging platforms. Architectural Literacy: Proven ability to work with Microservices and distributed systems, including sophisticated data modeling in both relational and NoSQL databases. DevOps Mindset: Hands-on proficiency with CI/CD automation tools and a strong commitment to Infrastructure as Code (Terraform) . Agile Adaptability: Experience thriving in fast-paced, iterative delivery teams with a focus on solving complex technical challenges. Impactful Communication: Ability to articulate technical concepts clearly to both technical and non-technical stakeholders while adhering to best practices in documentation.