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Salary
≈ $42k – $102k per year (Estimated)
Location
Remote (Spain)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 6, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

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 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.

NICE TO HAVE

  • 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.

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.

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