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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
