Senior DevOps / Observability Engineer – AI Runtime & Platform Monitoring

Twoday A/S; København; On-site; DKK 669,600 - 892,800; Full time

Benefits offered by this job

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

Job summary

Twoday A/S is seeking a Senior DevOps / Observability Engineer to enhance observability and monitoring in cloud-native and AI-assisted platforms. The successful candidate will build and maintain observability platforms, monitor AI workloads, and collaborate with development teams. This position requires fluency in Danish and English and the ability to work onsite in Copenhagen for most of the week, with a hybrid work option available. Join us to shape our observability strategy in a modern tech environment.

Qualifications

• Fluent Danish and English, both written and spoken.
• Ability to work onsite in Copenhagen as required.

Responsibilities

• 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.

Skills

ELK/OpenSearch or similar observability stacks

Prometheus

Grafana

OpenTelemetry

Kubernetes

CI/CD and cloud-native operations

Linux

Automation

Incident handling

Troubleshooting in production environments

Job description

Senior DevOps / Observability Engineer – AI Runtime & Platform Monitoring

About the role: Twoday is looking for an experienced DevOps / Observability Engineer to help drive observability and monitoring in modern cloud‑native and AI‑assisted platforms.

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

Responsibilities

• 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

We expect you to have experience with

• 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

Preferred Experience

• AI observability
• Telemetry pipelines for AI systems
• Tracing agentic workflows
• Runtime monitoring of AI platforms

Requirements

• 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 on Wednesday only, and you will be required to work onsite the rest of the time.

What we offer

• 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

The hiring process

• First telephone interview
• An online screening interview with the hiring manager
• An online technical test interview
• An interview onsite with the Senior Principal Manager

Diversity & Inclusion

Do you not meet all the requirements? Studies show that women and minorities are less likely to apply if they don’t meet every qualification. At twoday, we are committed to building an inclusive workplace where everyone is welcome.

If this role excites you, we encourage you to apply.