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Strong employer brand, popular DevOps role, and metro location increase applicant competition.
Core devops and observability skills transfer across industries, but specific tooling narrows fit to medium.
Multiple mandatory platform skills and explicit Python years plus tooling requirements create high filtering strictness.
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Build, scale, and maintain enterprise-wide observability and log management systems, including open telemetry pipeline transformation.
Manage data distribution pipelines with Cribl, analytical environments in Sumo Logic and Datadog, and alerting via PagerDuty to ensure actionable monitoring and cost control.
Automate deployment and configuration of monitoring agents and enforce telemetry data standards across multiple teams and services.
Minimum 3 years of Python development experience.
Proven expertise in Datadog including AWS integrations and dashboard templating.
Familiarity with Cribl, Sumo Logic, PagerDuty, Ansible, OpenTelemetry, AWS architecture, and distributed system monitoring.
Work Experience Required: At least 3 years relevant experience explicitly mentioned.
Experienced in enterprise-scale monitoring transformations and observability platform engineering across infrastructure, application, and DevOps teams.
Strong operational focus on optimizing telemetry data flow, incident response configuration, and maintaining multi-tenant monitoring environments.
Familiar with Site Reliability Engineering (SRE) principles and infrastructure-as-code automation (Ansible) with ability to mentor and enable teams.