Senior Observability Platform Engineer - On-Prem & Kubernetes

United States Digital Space LLC; Amsterdam; On-site; EUR 140,000 - 180,000; Full time

Job summary

the company in Amsterdam is seeking a Senior Observability Infrastructure Engineer to join our Platform Engineering team. You will help design, build, and run the logging, metrics, and tracing platform at scale across on-premise and Kubernetes environments.

You will own the hybrid infrastructure, automate operations with Go or Python, and optimize the data pipelines to support hundreds of product teams. This role emphasizes reliability, security, and self-service through automated guardrails.

Qualifications

• 10+ years of experience in observability or related platform/infrastructure domains.
• Hands-on experience operating core telemetry data stores at scale (logging, metrics, tracing).
• Production Kubernetes experience on-premises and/or cloud with kubectl proficiency.
• Proficient in Go or Python and building automation tooling and IaC mindset.
• Experience tuning large-scale distributed tracing and logging pipelines.

Responsibilities

• Design and implement the future architecture of the logging and metrics systems across global regions.
• Own hybrid infrastructure, managing the lifecycle of 1,500+ servers on bare metal and Kubernetes.
• Automate operations with Go or Python; improve CI pipelines for safe, automated cluster changes.
• Optimize Elasticsearch, Prometheus, VictoriaMetrics, and OpenTelemetry for peak performance.
• Participate in on-call rotations while improving self-service guardrails and safe API access.

Skills

Observability

Linux

Kubernetes

Go

Python

Tools

Elasticsearch/OpenSearch

VictoriaMetrics

Grafana Tempo

Prometheus

Clickhouse

Job description

the company in Amsterdam is seeking a Senior Observability Infrastructure Engineer to join our Platform Engineering team. You will help design, build, and run the logging, metrics, and tracing platform at scale across on-premise and Kubernetes environments.

You will own the hybrid infrastructure, automate operations with Go or Python, and optimize the data pipelines to support hundreds of product teams. This role emphasizes reliability, security, and self-service through automated guardrails.