Senior Observability Engineer
Verda is a Helsinki-headquartered full-stack AI cloud provider offering on-demand GPU compute, clusters, serverless containers, storage, APIs, and related AI infrastructure.
Funding history
About Verda
Formerly DataCrunch, Verda operates European AI cloud infrastructure for the full AI lifecycle, from prototyping and distributed model training to scalable inference. It manages data-center infrastructure, hardware, cloud-platform services, and an in-house AI Lab.
Skills
About the Role
You will help build and operate the observability platform across bare-metal, VMs, Kubernetes, GPU clusters and networks. You will manage GitOps deployments, integrate hardware and network telemetry, support OpenTelemetry instrumentation, build dashboards and alerts, join on-call and develop AI-assisted monitoring.
Requirements
- Strong hands-on experience with Grafana and production telemetry systems including VictoriaMetrics and VictoriaLogs
- Strong Linux fundamentals and production Kubernetes experience
- Practical OpenTelemetry experience
- Experience with Argo CD, GitLab CI/CD, Ansible and SaltStack
- Experience investigating production incidents and maintaining alerts
- Ability to guide teams and support adoption of shared practices
Responsibilities
- Design, scale and operate shared metrics, logs and tracing services
- Manage Kubernetes deployments with Argo CD and CI/CD and automate configuration with Ansible and SaltStack
- Improve monitoring for bare-metal, Linux, networks and Kubernetes
- Build telemetry pipelines and dashboards for GPU clusters and AI workloads
- Define OpenTelemetry standards and support instrumentation of Go, Node.js and Python services
- Build dashboards and alerts, use PagerDuty and join on-call rotations
- Document standards and develop AI-assisted monitoring approaches
Benefits
- Cash and equity compensation
- Local benefits