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Insight Global Observability Engineer in Raleigh, North Carolina

Job Description

The Observability Engineer is responsible for helping migrate from SignalFX to Datadog

stakeholders through a value-driven migration from legacy monitoring platforms (e.g.,

SignalFX/Splunk Observability Cloud) to modern observability solutions such as Datadog. This

role emphasizes rationalization, optimization, and enablement—ensuring that migrated

dashboards and metrics are cost-efficient.

Key Responsibilities

● Assessment & Rationalization

○ Work with customers to help them decide which dashboards to migrate,

refactor, or retire based on business impact.

● Datadog Optimization

○ Map legacy dashboards to Datadog’s native templates and features.

○ Leverage AWS integrations and out-of-the-box dashboards to reduce custom

build effort.

● Stakeholder Enablement

○ Educate Infra, App, and DevOps teams on Datadog’s capabilities and best

practices.

○ Ability to collaboratively train and document supporting long-term dashboard

ownership.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

● Proven expertise in Datadog, including AWS integrations and dashboard templating.

● Experience with SignalFX/Splunk Observability Cloud and legacy monitoring

paradigms.

● Experience working across Infra, App, and DevOps teams to create relevant metrics.

● Experience with applying SRE concepts

● Strong understanding of AWS architecture and cloud-native observability.

● Strong understanding of monitoring distributed systems

● Familiarity with OpenShift or Kubernetes

● Familiarity with Ansible

● Familiarity with Infrastructure-as-Code concepts

● Familiarity with OpenTelemetry

● 3 years of Python development experience

● Excellent communication and stakeholder management skills. ● Certifications in Datadog, AWS, or related observability platforms.

● Experience in enterprise-scale monitoring transformations.

Engagement Flow Example

  1. Mapping: Align legacy dashboards with Datadog’s AWS-native templates.

  2. Rationalization: Recommend migration priorities and dashboard retirement.

  3. Implementation: Collaborate with Red Hat teams on efficient migration execution.

  4. Enablement: Train stakeholders on dashboard creation, maintenance, and

optimization.

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