Cloud Engineer
AI in this role
Job Description & Summary
The Opportunity
As part of the Cloud Engineering team, you will design, implement, and operate our Azure-based Kubernetes infrastructure (AKS), Cloud Development Environment (CDE), and CI/CD pipeline runners for application teams. You ensure that our cloud platform and developer services are secure, scalable, reliable, and easy to use for application teams.
You independently build, operate, and maintain our cloud platform and underlying infrastructure, designing secure and scalable environments to host CI/CD pipeline runners, cloud-native workloads, and developer services. You have experience with Kubernetes-based platforms, and containerized workloads, and you ensure reliability, security, and cost efficiency across these environments. You actively contribute to automation, documentation, platform standards, and the continuous improvement of our developer experience.
You collaborate closely with Architecture, Security, Application, and Operations teams to deliver robust cloud and platform solutions for application teams - working fluently in English, with German being a plus.
What you will be doing
You design, deploy, and operate Azure Kubernetes Service (AKS) clusters as a shared platform for application teams, ensuring scalability, availability, and security.
You build and maintain infrastructure for CI/CD pipeline runners on AKS (Azure DevOps agents, GitHub Actions runners) to enable automated deployments for application teams.
You configure and manage AKS networking components, including load balancer controllers, DNS, and certificates, to provide secure and reliable connectivity for applications and developer services.
You implement and operate monitoring, logging, and alerting for the AKS platform, CI/CD pipeline runners, and shared services, ensuring transparency and operational readiness.
You manage the AKS cluster lifecycle (upgrades, scaling, patching, node pool management), ensuring minimal downtime and adherence to reliability and security standards.
You provide guidance and best practices to application teams on running workloads on the platform (e.g. containerization standards, resource requests/limits, Helm charts or Kubernetes manifests), without being responsible for individual application deployments.
You ensure compliance with security best practices on the platform level, including RBAC, secrets management, image policies/scanning, and other cloud-native security controls.
You design and support backup and disaster recovery strategies for the AKS platform and critical shared components (e.g. configuration, persistent volumes used by platform services).
What we need from you
Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent practical experience in cloud/platform engineering.
Practical experience operating Kubernetes in production, ideally with Azure Kubernetes Service (AKS).
Solid hands-on experience with Microsoft Azure (compute, networking, storage, IAM).
Strong knowledge of containers and Docker, including image build, registry usage, and runtime considerations.
Experience with Infrastructure as Code (e.g. Terraform, Bicep, ARM templates) for managing cloud resources.
Experience operating CI/CD infrastructure (e.g. Azure DevOps, GitHub Actions) and managing self-hosted pipeline runners/agents.
Good understanding of cloud security concepts (identity & access management, network security, secrets management)
Experience with monitoring, logging, and alerting tools (e.g. Prometheus/Grafana, Azure Monitor, Log Analytics, FluentBit).
Experience working in a Linux-based environment and with Git-based workflows.
Relevant certifications are a plus (e.g. Microsoft Certified: Azure Administrator, Azure DevOps Engineer, Certified Kubernetes Administrator – CKA).
Proven track record in operating cloud and Kubernetes platforms in a professional environment.
You are fluent (written and spoken) in English.
Highly self-motivated and proactive team player with a strong sense of ownership, a hands-on mentality, and the ability to drive and manage change independently
You have effective verbal and written communication skills.
You are curious, self-driven and motivated to learn/upskill across new technologies
You are a Team player comfortable collaborating across countries and cultures
What is nice to have:
In-depth experience with AKS platform design (node pools, autoscaling, upgrades, cluster configuration).
Experience with Helm, Kustomize, or raw Kubernetes manifests to define platform components and shared services
Experience with container image security and supply chain security (e.g. image scanning, policies, SBOM).
Exposure to GitOps concepts and tooling (Argo CD)
#LI-BS1 #LI-Hybrid
How we score this
Cloud Engineer at PwC scores 35 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
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- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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