Observability Engineer

LGT Capital Partners Pfäffikon, Zurich – Suisse Publié le 24/09/2026
Description du poste
Overview

In this role you will design, implement and operate modern observability solutions to ensure visibility, reliability, and performance of IT services across cloud and on-prem environments. You will own hands-on engineering while shaping observability strategy and platform evolution in collaboration with platform, architecture, and ServiceNow teams. You’ll build scalable telemetry pipelines, dashboards, and alerts, and drive integration with ITSM/ITOM to improve signal quality and incident response. This is a hands-on, impact-focused role at a firm with a strong ESG and growth orientation.

Leistungen / Benefits
  • work-from-home options
  • flexible hours
  • home office allowance
  • professional development opportunities
  • internal and external training opportunities
  • language skill improvements (German/English)
Verantwortungsbereiche
  • Engineer, operate and improve observability platforms as a service for infra, platform and app teams
  • Implement and maintain telemetry collection for metrics, logs and traces (Prometheus, OpenTelemetry)
  • Design scalable telemetry pipelines (collection, processing, enrichment, routing)
  • Build dashboards, alerts and SLIs for operators and service owners
  • Integrate observability with IT service management, event management and automation
  • Support migration from legacy monitoring to modern observability
  • Troubleshoot performance/availability in distributed systems
  • Collaborate with application teams and platform stakeholders on best practices and signal quality
  • Contribute to observability standards, guidelines and roadmap planning
  • Create and maintain operational docs, runbooks and onboarding guides
Zentrale Anforderungen
  • Proven hands-on observability/monitoring experience
  • Experience with Prometheus, OpenTelemetry and related tooling
  • Designing and operating telemetry pipelines for metrics/logs/traces
  • Observability in cloud-native and distributed systems
  • Experience with AI/ML workload observability (LLM observability) is a plus
  • Cloud experience, especially Microsoft Azure
  • On-premises environments, especially Microsoft-based virtualization
  • Scripting/automation: PowerShell, Bash, JSON or YAML
  • IaC for observability solutions (Terraform)
  • IT service management/process knowledge a plus
  • Strong problem-solving and analytical mindset
  • Cross-functional collaboration skills
  • Proactive learning mindset
  • Fluent English; German a plus
  • collaboration across multiple teams
  • consultative guidance on observability best practices
  • proactive learning mindset
  • Prometheus
  • OpenTelemetry
  • telemetry pipelines
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