Essential Duties & Responsibilities:

• Define and evolve our enterprise observability vision, standards, principles, and roadmap, using strategic thinking and sound judgment to align technical direction with business needs.

• Lead the implementation, optimization, and adoption of Dynatrace SaaS and its latest platform capabilities across the enterprise.

• Establish scalable telemetry architecture and OpenTelemetry standards that improve consistency, interoperability, and long-term flexibility.

• Design observability solutions for Kubernetes, containers, microservices, distributed applications, and public cloud environments.

• Apply AIOps and agentic operations capabilities to strengthen detection, event correlation, diagnosis, automation, operational response, and continuous improvement.

• Develop and maintain service health models, SLOs, dashboards, alerting strategies, telemetry governance, and observability best practices that support operational excellence and service reliability.

• Collaborate across engineering, site reliability, platform, security, infrastructure, operations, and architecture functions to expand observability adoption and maturity.

• Guide the transition from legacy monitoring practices to modern, adaptive, and outcome-focused observability models, including initiatives involving production systems and enterprise platform transformation.

• Mentor engineers, influence technical direction, solve complex problems, and help shape enterprise architecture and engineering standards.

Required Qualifications :

• Master’s degree from an accredited college or university in Computer Science, Information Systems, Engineering, or a related technical field.

• 8+ years of experience in observability, monitoring, site reliability engineering, platform engineering, infrastructure engineering, or related technical disciplines.

• Deep hands-on experience with Dynatrace SaaS and recent Dynatrace platform capabilities and innovations.

• Strong experience with OpenTelemetry and telemetry instrumentation, collection, and architecture practices.

• Experience designing and implementing observability solutions for cloud-native infrastructure, distributed systems, and modern application environments.

• Hands-on experience implementing AIOps and/or agentic operations capabilities.

• Strong understanding of metrics, logs, traces, event correlation, service health, alerting models, and operational intelligence.

• Demonstrated ability to apply lessons from traditional monitoring approaches to modern observability strategy and technical design.

• Proven ability to lead technical initiatives, influence architectural decisions, and drive adoption across multiple teams and stakeholders.

• Strong verbal and written communication skills, with the ability to collaborate across functions and influence technical and non-technical stakeholders.

Preferred Qualifications:

• Experience leading enterprise-scale observability transformation initiatives.

• Experience with AWS, Azure, and/or Google Cloud Platform.

• Strong knowledge of site reliability engineering principles, including SLIs, SLOs, incident response, and operational resilience.

• Experience with automation, orchestration, and remediation workflows.

• Familiarity with additional observability platforms, frameworks, or ecosystems beyond Dynatrace.

• Experience with scripting or programming languages such as Python, Go, Bash, or JavaScript.