Technical Lead Observability

● 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 guide the definition of functional KPIs in collaboration with business stakeholders.

● Solid AWS knowledge and practical experience.

● Ability to instrument applications using Python (mandatory), with TypeScript and Java as a plus.

● Strong expertise with the Datadog SDK.

● Experience implementing and defining structured logging.

● Ability to design high-level business dashboards.

● Knowledge of OpenTelemetry.

● Experience with Grafana (visualization layer).

● Experience with service-to-service traffic control and monitoring.

● Experience with Power BI (data visualization).

● Experience gathering business requirements related to SLO definition.

● AWS Certified Solutions Architect / Developer Associate.

● Datadog certifications, a plus.

● Bachelor's degree in Computer Science, Telecommunications Engineering or a related field.

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.

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.

● 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.

Fully remote position.

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