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.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
