
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.
The Dynatrace Observability Lead/Architect is responsible for defining and driving the end-to-end observability strategy, architecture, Integration and implementation. This role ensures alignment with SRE and DevOps practices, enables AIOps capabilities, and leads the onboarding, optimization, and continuous improvement of observability across the organization.
· Define observability strategy, standards, and architecture (metrics, logs, traces, APM)
· Establish SLIs, SLOs, error budgets, and observability readiness standards
· Define tagging, metadata, and telemetry standards (naming, formats, traceability)
· Design integration architecture across CI/CD, observability, and ITSM platforms
· Define and enforce governance model, compliance, and audit requirements
· Establish KPIs and success metrics aligned with business and reliability goals
· Consolidate findings from assessments and identify risks and improvement areas
· Develop observability maturity assessment (DevOps/SRE alignment)
· Define implementation roadmap (quick wins vs long-term initiatives)
· Drive stakeholder workshops and validations
· Lead integration of CI/CD pipelines with observability (logs, metrics, traces, deployment markers)
· Implement tagging strategy (app, env, version, commit ID)
· Integrate with incident, change, and release management systems
· Define and implement service-level KPIs and golden signals
· Build operational and business dashboards
· Configure event correlation and alert tuning to reduce noise
· Track reliability metrics (MTTR, SLOs, change failure rate)
· Define and implement AIOps architecture and use cases
· Drive AIOps (anomaly detection, RCA, event correlation, predictive insights)
· Implement automation, runbooks, and self-healing workflows
· Lead application onboarding and ensure
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