Technical Lead Observability

Cognizant; United States; On-site; USD 110,000 - 140,000; Full time

Job summary

remoteo is seeking an Observability Expert to strengthen monitoring and reliability for a leading energy sector partner. You will instrument applications for metrics, build tracing and logging pipelines, and collaborate with stakeholders to define the SLIs and SLOs that matter most.

You will bring deep Datadog and AWS expertise, translate reliability into KPIs and dashboards, and instrument Python applications (TypeScript/Java a plus) across services.

Qualifications

• Experience with Datadog APM and custom metrics.
• Ability to define SLIs/SLOs with business stakeholders.
• Strong AWS knowledge and practical experience.
• Proficient in Python; TypeScript/Java a plus.
• Experience with structured logging and dashboards.

Responsibilities

• Instrument applications for metrics and tracing using Datadog APM.
• Leverage logs as metrics sources (CloudWatch/Datadog).
• Define SLIs/SLOs with stakeholders and translate to KPIs.
• Implement structured logging across services.
• Design high-level business dashboards from telemetry.
• Instrument Python apps; TypeScript/Java as needed.

Skills

Datadog APM

Distributed tracing

AWS

Python

TypeScript

Java

Structured logging

Dashboard design

Education

Bachelor's degree in CS or related

Tools

Datadog

CloudWatch

OpenTelemetry

Grafana

Power BI

Job description

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.