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About the Role

We are seeking a skilled DevOps Engineer to manage and enhance our EMEIA infrastructure. This role involves maintaining existing VM systems while leading the development of a new managed environment, likely based on Kubernetes (Kube/EKS) or AWS@Apple. You will collaborate with various teams and vendors to ensure our infrastructure supports rapid, AI-assisted development cycles in a fast-paced, evolving environment.

Responsibilities

• Lead the design and build-out of a new managed container environment.
• Contribute to the selection of the new environment architecture.
• Own the migration of existing VM-based workloads onto the new platform.
• Establish and maintain the standard workflow for deploying solutions.
• Configure and maintain networking between Kube and Apple’s internal systems.
• Own namespace and compute provisioning on the shared Kube cluster.
• Manage credentials, service accounts, and access controls.
• Act as the go-to expert on internal network topology.
• Own and manage cloud infrastructure across EMEIA using internal cloud tooling.
• Manage certificates, firewalls, resource pools, networking, and access controls.
• Ensure infrastructure is appropriately sized, resilient, and cost-efficient.
• Maintain accurate documentation of infrastructure topology and configuration.
• Maintain and operate existing virtual machines.
• Build and maintain standardized, repeatable provisioning processes.
• Manage package deployment, software repositories, databases, and web servers.
• Own the patching and update lifecycle for managed systems.
• Implement and maintain monitoring, alerting, and observability.
• Proactively identify risks, bottlenecks, and failure patterns.
• Define and track appropriate SLIs/SLOs for critical services.
• Conduct post-incident reviews and drive lasting improvements.
• Support AI-augmented development by providing the infrastructure scaffold for rapid iteration.
• Act as a pragmatic partner to developers, unblocking deployment and catching risks.
• Actively use AI tools to accelerate your own work.
• Take ownership of vague or ambiguous production issues and drive them to resolution.
• Deliver short-term fixes rapidly while tracking long-term root cause resolutions.
• Maintain a pragmatic balance between speed-of-recovery and quality-of-fix.

Requirements

• Proven experience in a DevOps, infrastructure, or platform engineering role.
• Hands-on experience with Kubernetes — deploying, configuring, and operating workloads.
• Experience containerizing applications: writing Dockerfiles, managing images, publishing to a registry, and debugging container-level issues.
• Strong networking fundamentals: DNS, TLS/SSL certificates, firewall rules, load balancing, VPNs, and service-to-service connectivity.
• Comfort operating in environments where the architecture is still being defined.
• Hands-on experience with RHEL (or equivalent enterprise Linux) — provisioning, hardening, package management (yum/dnf), systemd services.
• Experience managing cloud infrastructure, ideally in an enterprise private/hybrid cloud environment.
• Experience with infrastructure-as-code or configuration management tooling (e.g. Terraform, Ansible, Puppet, or similar).
• Solid scripting ability in Bash and at least one higher-level language (Python preferred).
• Experience with monitoring and observability tooling (e.g. Prometheus, Grafana, Datadog, or similar).
• Strong incident diagnosis skills — able to work from vague symptoms to root cause using logs, metrics, and reasoning.
• Comfortable working with AI-generated or AI-assisted codebases.
• Clear written and verbal communication — able to translate infrastructure complexity for non-technical stakeholders.
• Experience with AWS or AWS@Apple, particularly EKS (Desirable).
• Familiarity with Apple’s internal platform tooling: Kube, Shield, Appleconnect, Floodgate, or similar (Desirable).
• Experience integrating with Snowflake (Desirable).
• Experience with CI/CD pipelines (Desirable).
• Exposure to security tooling, vulnerability scanning, or compliance frameworks (Desirable).
• Familiarity with secrets management tooling (Desirable).
• Experience working in a regulated or enterprise environment with change management processes (Desirable).

Skills

• Kubernetes
• Containerization (Docker)
• Networking (DNS, TLS/SSL, Firewalls, Load Balancing, VPNs)
• RHEL/Linux Administration
• Cloud Infrastructure Management
• Infrastructure as Code (Terraform, Ansible, Puppet)
• Scripting (Bash, Python)
• Monitoring and Observability (Prometheus, Grafana, Datadog)
• Incident Diagnosis
• AI-assisted Development Tools
• Communication
• AWS/EKS
• CI/CD Pipelines
• Security Tooling
• Secrets Management

Location

• EMEIA

Work Type

• Full-time

Experience Level

• Mid-level
• Senior

About the Company

• We are a company that produces solutions rapidly using AI-assisted, structured development, enabling ideas to move from concept to deployment faster than ever.