As an Observability Expert, you will design and implement end-to-end monitoring, tracing and alerting solutions for critical applications at a leading company in the energy sector. Join a fully remote role at the intersection of platform reliability and business insight.

OBSERVABILITY AT SCALE

DATADOG & AWS

FULLY REMOTE

LEARNING & GROWTH

Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply.

About The Role

We are looking for an Observability Expert to strengthen the monitoring and reliability capabilities of a leading energy sector company. In this role, you will instrument applications for functional and technical metrics, build distributed tracing and logging pipelines, and work closely with business stakeholders to define the SLIs and SLOs that matter most. You will bring both deep technical expertise in Datadog and AWS and the business acumen to translate reliability into meaningful KPIs and dashboards.

Key Responsibilities

• Instrument applications for both functional and technical metrics using Datadog APM,



custom metrics and Distributed Tracing.
• Use logs as a source of metrics, leveraging CloudWatch and/or Datadog metric generation.
• Define SLIs and SLOs, guiding the definition of functional KPIs in collaboration with business stakeholders.
• Implement and define structured logging across applications and services.
• Design high-level business dashboards that translate technical telemetry into actionable insight.
• Instrument applications across multiple languages, primarily Python, with TypeScript and Java where required.

Required Skills & Experience

• Hands-on experience with Datadog APM, Datadog custom metrics and Distributed Tracing.
• Experience instrumenting applications for both functional and technical metrics using Datadog.
• Experience using logs as a source of metrics (CloudWatch and/or Datadog metric generation).
• Strong understanding of SLI and SLO definitions, with the ability to

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