Senior Observability Engineer - Dynatrace and Automation

About the role

Logistics Health Incorporated (LHI), part of the Optum family of business, is seeking a Senior Observability Engineer to lead the design, automation, and operational excellence of our enterprise observability platforms. This role is heavily focused on Dynatrace administration, Python development, CI/CD engineering, and Observability-as-Code practices supporting mission-critical applications across on-premises, hybrid, and multi-cloud environments. The ideal candidate is a hands-on engineer with deep experience building scalable observability solutions, automating platform operations, developing monitoring integrations, and enabling DevOps teams through self-service monitoring capabilities.

Responsibilities

• Dynatrace Platform Engineering
  • Serve as the primary technical SME for Dynatrace Managed and Dynatrace SaaS environments
  • Design, implement, and maintain Dynatrace monitoring standards, management zones, alerting strategies, tagging frameworks, and service ownership models
  • Configure and optimize OneAgent, ActiveGate, Distributed Tracing, RUM, Synthetic Monitoring, Davis AI, and Automation Workflows
  • Develop enterprise observability standards and governance practices
• Python Development & Automation
  • Develop Python-based automation solutions to streamline observability operations and platform administration
  • Build integrations leveraging Dynatrace APIs, REST APIs, webhooks, and cloud-native services
  • Create automated onboarding, validation, compliance, reporting, and remediation capabilities
  • Design self-healing workflows and automated operational runbooks
• CI/CD & Observability as Code
  • Implement and support Observability-as-Code using Dynatrace Monaco, Terraform, GitHub Actions, GitLab CI/CD, Azure DevOps, and/or Jenkins
  • Build automated deployment pipelines for Dynatrace configurations, dashboards, alerting profiles, SLOs, and management zones
  • Integrate monitoring validation into software delivery pipelines and create automated quality gates

Requirements

• 5+ years of hands-on Dynatrace engineering experience
• 5+ years supporting enterprise observability, monitoring, or SRE platforms
• 3+ years developing production-grade Python automation solutions
• Experience building CI/CD pipelines using GitHub Actions, GitLab, Jenkins, or Azure DevOps
• Experience implementing Infrastructure-as-Code using Terraform and/or Ansible
• Experience utilizing Dynatrace APIs and configuration automation
• Solid understanding of distributed tracing, OpenTelemetry, metrics, logs, events, and reliability engineering practices
• If offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of employment

Preferred Qualifications

• Dynatrace Professional or Advanced Certification
• Experience with Monaco (Monitoring as Code)
• Experience with Kubernetes and OpenShift
• Experience with Elasticsearch, Grafana, Prometheus, Fluent Bit, and OpenTelemetry
• Experience supporting FedRAMP High or government-regulated environments

Benefits

In addition to your salary, we offer benefits such as a comprehensive benefits package, incentive and recognition programs, equity stock purchase, and 401k contribution (all benefits are subject to eligibility requirements).

Pay

The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. Pay is based on several factors including but not limited to local labor markets, education, work experience, and certifications.