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# Log Specialist - Remote MST or PST

- **Company:** Dynatrace LLC
- **Location:** Denver, CO, United States
- **Experience:** Experienced
- **Salary:** $128,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, Software as a Service, Apache Lucene, Data Cleansing, Query Languages, DevOps, Python (Programming Language), OpenShift, Logstash, Ansible, Kusto Query Language, SQL Databases, Data Logging, Scripting, Data Ingestion, Fluentd, Mttr, Kubernetes, Information Technology, Cloudwatch, Terraform, Splunk, Dynatrace, Serverless Computing
- **Published:** August 21, 2026
- **Apply:** https://www.denverjobsite.com/job.asp?id=3361190151&tx=KP8585FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Education: Bachelor's degree in - Computer science, Engineering, or equivalent practical experience.
 * 5+ years in a domain, specialist, pre-sales, professional services, or SRE role, with at least 3 years specifically focused on Log Management or Big Data analytics

Preferred Requirements

 * Technical Depth: Advanced proficiency in Query Languages (e.g., Splunk SPL, Kusto QL, SQL, or Lucene).
 * Deep understanding of Log Ingestion pipelines and "Telemetry Pipelines" (Cribl, BindPlane, Vector).
 * Hands-on experience with Kubernetes, OpenShift, and Serverless logging patterns.
 * Cloud & DevOps: Strong knowledge of AWS, Azure, or GCP logging ecosystems and automation tools like Terraform or Ansible.
 * Business Acumen: Ability to translate "bits and bytes" into "dollars and cents"-explaining how log management impacts MTTR and operational overhead.
 * Hands-on exposure to modern observability pipelines, including Cribl solutions or OpenTelemetry logging specifications.
 * Familiarity with the Cribl ecosystem or OpenTelemetry logging specs.
 * Experience with scripting (Python, Go, or Bash) for log transformation and data cleanup.

## Description

Dynatrace is seeking a results-driven Log Management Domain Specialist to serve as the primary domain authority for our Log Management solution. This is a high-impact, domain role designed to drive the successful adoption, consumption, and displacement of legacy log tools. You will partner with our Global Sales organization to demonstrate the unique value of the Dynatrace Grail data lakehouse, helping customers transition from high-cost, fragmented logging silos to a unified, AI-powered observability platform.

Core Responsibilities

Domain Expertise:

 * Act as the domain "subject matter expert" (SME) for Logs, staying ahead of industry trends like OpenTelemetry (OTel), log pipelines (Cribl/BindPane), and cloud-native logging (CloudWatch/Stackdriver).
 * Articulate the architectural superiority of Dynatrace Grail-specifically how its schema-on-read and index-less storage solve the "cardinality explosion" of modern logs.

Competitive Execution:

 * Partner with Account Executives/SEs to identify and execute displacement plays against legacy incumbents
 * Lead high-stakes Proof of Concepts (POCs) that drive Logs consumption that prove ROI by reducing data ingest costs while increasing troubleshooting speed.
 * Build "Economic Value" models that show customers how to optimize their SaaS consumption and maximize their Dynatrace investment.

Solution Architecture:

 * Expertise in architecting resilient, vendor-neutral log-ingestion frameworks utilizing Fluentd, Logstash, and OpenTelemetry Collector pipelines, etc.
 * Help customers navigate complex log-routing scenarios, ensuring high-value data is prioritized for analytics while low-value data is archived cost-effectively.

Consumption Advocacy:

 * Identify "consumption bottlenecks" within existing accounts and proactively provide technical guidance to unlock more log data volume and user adoption.
 * Conduct "Best Practice" workshops focused on log-based alerting, DQL (Dynatrace Query Language) proficiency, and dashboarding.


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