Senior DevOps / Observability Engineer – AI Runtime & Platform Monitoring
Indexed description
We are moving towards a more agentic development model, where AI services and automated workflows become an integrated part of the platform. As a result, observability, telemetry and runtime monitoring are becoming increasingly important.
You will work with:
- observability in Kubernetes platforms
- logging, tracing and telemetry pipelines
- monitoring AI workloads and agentic services
- performance, operations and incident handling in distributed systems
- Build and maintain observability platforms
- Work with logging, metrics and distributed tracing
- Monitor cloud-native and AI-related workloads
- Support stable operations and incident response
- Collaborate closely with development and platform teams
- Optimise performance and reliability in production
- ELK/OpenSearch or similar observability stacks
- Prometheus, Grafana and OpenTelemetry
- Kubernetes and container platforms
- CI/CD and cloud-native operations
- Linux and automation
- Incident handling and troubleshooting in production environments
- AI observability
- Telemetry pipelines for AI systems
- Tracing agentic workflows
- Runtime monitoring of AI platforms
- Fluent Danish and English, both written and spoken
- Ability to work onsite in Copenhagen as required. Currently, for this particular client, it is only possible to work from remote Wednesday only, and you will be required to work onsite the rest of the time
- Modern cloud-native and AI-oriented platform environment
- High technical complexity
- Strong professional environment
- Opportunity to shape the observability strategy
- Hybrid working setup with office in Copenhagen
- First telephone interview
- An online screening interview with the hiring manager
- An online technical test interview
- An interview onsite with the Senior Principal Manager
If this role excites you, we encourage you to apply.
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