Senior DevOps Platform Architect (Internal DevOps & AIOps)

RDT; Brande; Remote; DKK 673,000 - 972,000; Full time

Benefits offered by this job

Remote within EU

Flexible working hours

Career development opportunities

Job summary

RDT is seeking a Senior Platform Engineer to design and scale an Internal Developer Platform, focusing on DevSecOps, GitOps delivery, and AI-enabled operations across multi-cluster Kubernetes environments. You will lead architecture, automation, and policy-as-code practices from day one.

The role covers SLO/SLI governance, automated remediation, and cross-team RFCs, while supporting AI inference workloads and GPU autoscaling. Remote within EU.

Qualifications

• 6+ years of enterprise-scale Kubernetes in production.
• Proficiency in Go and Python for automation.
• Experience with GitOps delivery and multi-cluster setups.
• Experience with policy as code and software supply chain security.
• Experience with IaC, CI/CD and telemetry standards.
• Experience with AI infra is a plus.

Responsibilities

• Design and standardize a self-service Internal Developer Platform with ephemeral environments.
• Architect multi-cluster, multi-region GitOps delivery with ArgoCD or Flux.
• Build closed-loop remediation and AIOps pipelines using OpenTelemetry, anomaly correlation and workflow/orchestration engines.
• Implement policy as code and software supply chain security with Kyverno or OPA.
• Define SLO/SLI governance, error budgets and automated chaos testing for distributed services.
• Establish standards for IaC, CI/CD and telemetry, and drive them through cross-team RFCs and architecture reviews.
• Support inference and training infrastructure for AI workloads, including GPU autoscaling (KEDA).

Skills

Kubernetes

Go

Python

GitOps

OpenTelemetry

Terraform

Tools

ArgoCD

Flux

Pulumi

OpenTofu

Kubernetes Operators

Job description

RDT is seeking a Senior Platform Engineer to design and scale an Internal Developer Platform, focusing on DevSecOps, GitOps delivery, and AI-enabled operations across multi-cluster Kubernetes environments. You will lead architecture, automation, and policy-as-code practices from day one.

The role covers SLO/SLI governance, automated remediation, and cross-team RFCs, while supporting AI inference workloads and GPU autoscaling. Remote within EU.