Lead Developer

Hace 3 días

Navalcarnero Comunidad de Madrid, Sur Occidental (comarca); Comunidad de Madrid, España Cognizant Jornada completa
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?

ABOUT THE ROLE
We are looking for an Observability Expert to strengthen the monitoring and reliability capabilities of a leading energy sector company. 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. 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). 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 with Grafana (visualization layer). Experience with service-to-service traffic control and monitoring. Experience with Power BI (data visualization). EDUCATION Bachelor's degree in Computer Science, Telecommunications Engineering or a related field. PREFERRED CERTIFICATIONS AWS Certified Solutions Architect / Developer Associate. Datadog certifications, a plus. WORKING MODEL Fully remote position. #