About the Role

HAVI is looking for an Observability Engineer to help build and evolve enterprise-wide observability capabilities across platforms and services.

You'll be responsible for making system health, performance and reliability visible, measurable and actionable by building and maintaining logging, metrics, tracing and alerting capabilities.

This is a great opportunity for someone with a strong background in Observability, Monitoring or SRE who enjoys improving system visibility and reliability in cloud-native and distributed environments.

What You'll Do

• Design and maintain enterprise logging, metrics and tracing platforms
• Define instrumentation standards for applications and infrastructure
• Build dashboards aligned with SLOs and service health indicators
• Optimise alerting frameworks to improve signal quality and reduce noise
• Ensure telemetry pipelines are scalable, reliable and cost-efficient
• Partner with SRE teams to improve visibility into error budgets and performance trends
• Work with Application Development teams to embed observability into system design
• Continuously improve detection speed and diagnostic capabilities

What We're Looking For

• 4+ years of experience in Monitoring, Observability or SRE-related roles
• Strong experience with observability platforms such as:
  • Azure Monitor
  • Prometheus
  • ELK
  • Datadog
  • Splunk
• Strong understanding of metrics, logs and distributed tracing
• Experience designing scalable telemetry architectures
• Strong knowledge of alert design and signal-to-noise optimisation
• Familiarity with cloud-native monitoring integrations
• Scripting experience with Python, Bash or similar
• Understanding of SLO-driven monitoring strategies
• Strong analytical and data interpretation skills
• Bachelor's degree in Computer Science, Engineering or equivalent experience

Why Consider This Role?

You'll play a key role in building HAVI's enterprise observability capability, working with SRE, Platform Engineering, Application Development, Security and Service Operations teams in a global environment.