Chief Architect - Observability ( Dynatrace ) & DevOps

Orion Innovation•Columbus, OH

23h

About The Position

Orion Innovation is seeking a highly experienced Chief Architect to define, govern, and drive enterprise Observability Gold Standards, with mandatory hands-on Dynatrace SaaS expertise. The role owns observability strategy, reference architectures, technology evaluations, Proofs of Value (POVs), implementation, and enterprise adoption across applications, infrastructure, cloud platforms, Kubernetes, databases, APIs, and distributed systems. It combines enterprise architecture leadership with deep technical expertise, complex troubleshooting, and hands-on implementation. The primary focus is leading a Dynatrace-based observability transformation; the secondary focus is defining and driving DevOps and DevSecOps standards for CI/CD, Infrastructure as Code, automation, and secure software delivery. The architect will establish observability standards and reusable patterns; lead Dynatrace implementation, adoption, integrations, troubleshooting, and operational improvements; evaluate technologies and guide enterprise adoption; and govern DevOps and DevSecOps practices. The role also maintains reusable architecture assets and governance processes, and measures compliance, operational improvement, engineering efficiency, and business outcomes.

Requirements

15+ years of overall experience in technology architecture, application performance engineering, infrastructure, observability, or related disciplines.
Mandatory strong hands-on Dynatrace SaaS expertise, including architecture, configuration, implementation, application onboarding, and enterprise-scale adoption.
Deep knowledge of Dynatrace APM, OneAgent, ActiveGate, distributed tracing, service topology, Davis AI capabilities, anomaly detection, and root-cause analysis.
Experience defining observability architectures, instrumentation standards, dashboards, alerting, Golden Signals, SLIs, SLOs, and performance baselines.
Strong troubleshooting skills across complex applications, cloud platforms, Kubernetes, databases, APIs, and distributed systems.
Experience integrating Dynatrace with ServiceNow ITSM, APIs, AIOps platforms, and operational automation.
Demonstrated ability to lead technology POVs, define enterprise standards, and drive hands-on implementation and adoption.
Strong working knowledge of DevOps, CI/CD, Terraform/IaC, containers, Kubernetes, GitOps, and DevSecOps practices.
Enterprise architecture, stakeholder management, technical evangelization, and cross-functional leadership capabilities.

Nice To Haves

Experience with AWS, Azure, Google Cloud, OpenTelemetry, and hybrid cloud environments.
SRE, reliability engineering, incident management, and operational automation experience.
Familiarity with complementary observability platforms such as Splunk, Datadog, Prometheus, and Grafana.
Relevant Dynatrace certifications or equivalent demonstrated technical expertise.

Responsibilities

Define enterprise observability strategy, Gold Standards, reference architectures, technology roadmaps, and governance.
Own Dynatrace SaaS architecture, configuration, deployment patterns, OneAgent, ActiveGate, instrumentation, access controls, tagging, and platform optimization.
Establish observability standards for APM, infrastructure, cloud, Kubernetes, databases, APIs, distributed tracing, logs, metrics, synthetic monitoring, and digital experience monitoring.
Define telemetry collection, instrumentation, application onboarding, dashboards, alerting, Golden Signals, SLIs, SLOs, SLAs, and performance baselines.
Establish reusable observability patterns for microservices, cloud-native, serverless, legacy, and hybrid applications.
Lead hands-on implementation and enterprise adoption of Dynatrace and observability standards across applications and infrastructure.
Troubleshoot complex application performance, distributed tracing, infrastructure, OneAgent, ActiveGate, telemetry ingestion, and monitoring configuration issues.
Implement event correlation, anomaly detection, alert-noise reduction, root-cause analysis, and actionable incident detection.
Integrate Dynatrace with ServiceNow ITSM and relevant AIOps, incident management, and operational automation platforms.
Drive observability-led operational improvements, including reduced MTTD and MTTR, improved availability, and increased reliability.
Assess monitoring maturity, identify gaps, and develop implementation and remediation roadmaps.
Lead technology assessments, hands-on evaluations, POVs, technical demonstrations, and build-versus-buy-versus-partner recommendations.
Evaluate observability and AIOps capabilities, integrations, scalability, security, and enterprise applicability.
Drive adoption through architecture reviews, engineering workshops, technical evangelization, and collaboration with application, cloud, SRE, infrastructure, and operations teams.
Establish adoption metrics, compliance scorecards, and continuous improvement practices.
Define and govern enterprise DevOps and DevSecOps Gold Standards, reference architectures, reusable components, and engineering Golden Paths.
Establish best practices for source control, CI/CD, Infrastructure as Code, Terraform, automated testing, artifact management, containers, Kubernetes, GitOps, and release management.
Define secure pipeline practices covering SAST, DAST, SCA, container security, IaC security, secrets management, and policy enforcement.
Evaluate DevOps tooling, develop reusable pipeline templates and automation patterns, and drive implementation across application teams.
Assess engineering maturity and improve deployment automation, security, compliance, and delivery efficiency.
Maintain reusable enterprise assets, including observability and DevSecOps standards, reference architectures, Dynatrace configurations, dashboards, alerting templates, onboarding frameworks, CI/CD templates, IaC modules, implementation runbooks, maturity assessments, POV frameworks, and Architecture Decision Records.
Establish architecture governance and adoption metrics to measure compliance, operational improvements, engineering efficiency, and business outcomes.