Observability Platform Automation & AI Operations Consultant
Software Technology, Inc.
Dallas, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Dallas, United States of America
Tech stack
Artificial Intelligence
Azure
Continuous Integration
ETL
DevOps
Monitoring of Systems
Systems Integration
Data Logging
Scripting (Bash/Python/Go/Ruby)
Large Language Models
Enterprise Integration
Tools for Reporting
Api Design
ArcSight Event Correlation
Data Pipelines
Dynatrace
Api Management
Pagerduty
ServiceNow
Job description
We are seeking a senior consultant to build and scale the enterprise observability platform by establishing reusable observability foundations, telemetry standards, monitoring-as-code frameworks, automation capabilities, and AIOps-driven operational intelligence. The ideal candidate will have deep expertise in Dynatrace, Davis AI (AIOps), Observability Architecture, OpenTelemetry, and telemetry pipeline design., * Standardize reusable onboarding patterns, templates, and monitoring-as-code assets.
- Define telemetry standards, OpenTelemetry patterns, and observability health models.
- Build scalable observability frameworks and reusable monitoring patterns.
- Streamline integrations across Dynatrace, PagerDuty, ServiceNow, Azure, and CI/CD platforms.
- Enable AIOps capabilities, automation, event correlation, and operational intelligence.
- Collaborate with application, platform, DevOps, and infrastructure teams to drive observability adoption and platform outcomes.
- Develop automation and API-driven integrations to improve consistency and reduce manual effort.
Requirements
Must Have:
- Strong hands-on experience with Dynatrace Administration, Automation, and API Integrations
- Experience with Dynatrace Davis AI (AIOps), event correlation, root cause analysis, and intelligent alerting
- Strong Observability & Monitoring Architecture experience
- Expertise in OpenTelemetry, telemetry pipelines, distributed tracing, metrics, and logging standards
- Experience building reusable observability patterns and monitoring frameworks
- Hands-on experience with scripting, automation, Infrastructure-as-Code, and platform integrations
- Experience with ServiceNow, PagerDuty, Azure, and CI/CD integrations
- Exposure to ETL, Reporting Platforms, Data Pipelines, or AI/LLM Observability
Expected Outcomes
- Standardize automation, telemetry, and integration standards across the observability platform.
- Deliver reusable observability assets and monitoring frameworks.
- Reduce operational overhead through automation and AIOps enablement.
- Improve platform consistency, monitoring effectiveness, production readiness, and scalability.
Screening Focus
Candidates should demonstrate strong experience in:
- Dynatrace + Davis AI (AIOps)
- Observability & Monitoring Architecture
- OpenTelemetry & Telemetry Pipelines
- Monitoring-as-Code & Automation
- ETL / Data Pipeline / AI-LLM Observability