Observability Expert
4 days ago
Overview:
The position of Senior Observability Engineer is available in a company that specializes in data monitoring and analysis.
This role will involve owning and evolving the observability platform, focusing on scalability and efficiency.
Responsibilities:
The selected candidate will be responsible for operating Datadog orgs/projects, RBAC, log pipelines/indexes/archives, metrics, traces/APM, Synthetics, RUM, and DBM at enterprise scale.
They must drive tagging standards and ownership metadata to enable service-aligned dashboards and alert routing.
Optimizing cost/performance through sampling, routing, tiering/archives, retention, and metric cardinality is also a crucial aspect.
Key Skills:
To be successful in this position, applicants should have:
Deep expertise with Datadog (logs, metrics, traces/APM, Synthetics, RUM, DBM).
Proven experience with Monitoring-as-Code using Terraform/OpenTofu and datadog-ci.
Automation proficiency in Python/PowerShell, YAML/JSON schema design, and API integration.
Experience with tagging schemes, schema/version management, lineage, and cost governance.
Requirements:
The ideal candidate should possess:
6–10+ years in Observability/SRE/Platform Engineering.
Strong understanding of CI/CD principles and tools like GitHub Actions/Azure DevOps.
Exposure to asset discovery patterns and how discovery feeds support CMDB reconciliation.
Comfortable operating Tier-0 platforms with high levels of audit rigor.
Preferred qualifications:
Mixed-estate exposure to various infrastructure environments.
Ability to build self-service onboarding patterns and policy gates.
Understanding of SLO/burn-rate alerting and service catalog adoption at scale.
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