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# Site Reliability Engineer

- **Company:** NEP Group
- **Location:** Hilversum, Netherlands
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Systems Engineering, Cloud Computing, Computer Engineering, Linux, Domain Name System (DNS), Python (Programming Language), Load Testing, Routing, Reliability Engineering, Ansible, Prometheus, Software Engineering, Data Logging, Load Balancing, Delivery Pipeline, Grafana, Firewalls (Computer Science), Containerization, Kubernetes, Deployment Automation, Azure AKS, Hardware Infrastructure, Cloudwatch, Terraform
- **Published:** May 29, 2026
- **Apply:** https://www.careerjet.nl/jobad/nl8115245b89eddaa7e36730b898507b3b

## About the Role

* Bachelors or Masters in Computer Engineering (or equivalent experience)
 * 2+ years in Software or Systems Engineering
 * Automation for scaling using tools like Ansible, Terraform, Helm, and ArgoCD.
 * Software development in at least one language such as Go or Python
 * Experience in building and maintaining container platforms, such as Kubernetes
 * Expert in Observability platforms such as Grafana, Prometheus etc
 * Experienced in using and tuning cloud native technology
 * Solid understanding of basic Linux and cloud networking (e.g., routing, firewalls, DNS, VPCs, subnets, load balancers).

## Description

* Design, implement, and maintain developer-friendly tools to improve productivity, code quality, and deployment efficiency for Kubernetes-based workloads.
 * Identify bottlenecks in integration and deployment pipelines and implement enhancements to support faster, more reliable deployments to on-premise and cloud Kubernetes clusters.
 * Collaborate with development teams to enable self-service tooling for managing deployments, logs, and infrastructure resources in Kubernetes environments.
 * Continuously improve build, test, and deployment automation for Kubernetes infrastructure across on-premise and cloud environments (AWS/GCP).
 * Provide better visibility into Kubernetes environments through improved observability tools, dashboards, and metrics.
 * Manage and improve Kubernetes orchestration across on-premise infrastructure and AWS/GCP clusters to ensure reliability, scalability, and consistency.
 * Enhance observability by implementing robust monitoring, logging, and alerting solutions tailored to Kubernetes workloads using tools like Grafana, Loki or cloud-native tools like CloudWatch (AWS) and Stackdriver (GCP).
 * Collaborate with Engineering Leadership to implement reliability engineering practices such as load testing, chaos testing, and recovery mechanisms for Kubernetes services.


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