Senior Technical Lead / Observability Specialist (Dynatrace)

Company shown to members 🔒 · Remote · US only

US only5+ years requiredPublished 9 November 2026Looks fresh

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The 20-second read

Experience
5+ years required
Where you can live
US only
Skills and tools
sql, python, aws, gcp, azure, docker
Degree or licence
Mentioned (bachelor)
Job type
Full-time

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Job details

Where you can work
United States
Employment type
Full-time
Advertised pay
Not stated by the employer
Experience
5+ years required
Employer publication date
9 November 2026
First recorded by Psst
5 November 2026
Last checked at the source
10 November 2026

About the job

Position Overview

We are seeking a highly experienced Senior Technical Lead / Observability Specialist to design, implement, and optimize our enterprise-wide observability framework. In this role, you will leverage deep expertise in Dynatrace alongside broad IT background knowledge to ensure maximum uptime, rapid root-cause analysis, and end-to-end performance visibility across complex multi-cloud and hybrid environments.

The ideal candidate bridges the gap between infrastructure, application development, and Site Reliability Engineering (SRE), serving as both a technical authority on monitoring tooling and a strategic guide for organizational reliability.

Key Responsibilities

  • Observability Architecture & Strategy
  • Drive the technical vision, architectural patterns, and execution for enterprise observability.
  • Lead continuous deployment and configuration of Dynatrace (OneAgent, ActiveGate, Synthetic Monitoring, Real User Monitoring, and Dynatrace Grail/AppEngine).
  • Establish standardized telemetry collection across Metrics, Logs, Traces, and Events (MELT).
  • Performance Engineering & Root Cause Analysis
  • Analyze complex system topologies to pinpoint performance bottlenecks, memory leaks, latency issues, and architectural risks.
  • Partner with DevOps, Infrastructure, and Software Engineering teams to design automated remediation workflows and AI-driven alerting (Davis AI).
  • Maintain and optimize SLOs, SLAs, and SLIs across key business applications.
  • Broad Technical Execution & Integration
  • Integrate Dynatrace with enterprise ecosystems, including CI/CD pipelines, ITSM platforms (ServiceNow), alerting systems (PagerDuty), and cloud platforms (AWS, Azure, GCP).
  • Instrument microservices, containerized platforms (Kubernetes/OpenShift), serverless workloads, and legacy legacy application architectures.
  • Technical Leadership & Mentorship
  • Act as the SME and escalation point for complex technical incidents across the IT landscape.
  • Train and coach engineering teams on observability best practices, Dynatrace adoption, and self-service dashboard creation.

Qualifications & Requirements

Education

  • Bachelor’s Degree in Computer Science, Information Technology, Computer Engineering, or a related technical discipline (Required).

Required Experience

  • 5+ years of broad, hands-on IT experience spanning system administration, cloud engineering, application support, or software engineering.
  • 4+ years of dedicated experience architecting, administering, and tuning Dynatrace in large-scale enterprise environments.

Technical Skills & Expertise

  • Observability Suite: Expertise in Dynatrace administration, OneAgent deployment, Smartscape topological mapping, Davis AI root cause analysis, Synthetic Monitoring, RUM, and Log Management.
  • Broad IT & Infrastructure Knowledge: Deep understanding of operating systems (Linux/Windows), network fundamentals (TCP/IP, DNS, load balancers), storage, and database performance tuning (SQL/NoSQL).
  • Cloud & Containers: Solid experience with cloud infrastructure (AWS, Azure, or GCP) and container orchestration engines (Docker, Kubernetes, Helm, OpenShift).
  • Automation & Scripting: Proficiency in scripting languages (Python, Bash, PowerShell, or Shell) and Infrastructure as Code (Terraform, Ansible).
  • Frameworks & Concepts: Strong practical knowledge of OpenTelemetry (OTel), SRE practices, and ITIL frameworks.

Preferred Qualifications

  • Dynatrace Certifications: Dynatrace Certified Professional or Dynatrace Certified Master.
  • Master’s degree in a computer science or engineering discipline.
  • Experience migrating from legacy monitoring tools (e.g., AppDynamics, New Relic, Datadog, Nagios) to unified observability platforms.

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