Infrastructure Observability Engineer

Design and implement Dynatrace observability across applications, infrastructure, Kubernetes, databases and cloud services. Develop monitoring for AI applications and build Java- and Python-based automation for onboarding, configuration, alerting, dashboards and CI/CD. Evaluate observability technologies and communicate architecture recommendations to engineering teams and stakeholders.

Responsibilities

• Design and implement Dynatrace observability across applications, infrastructure, Kubernetes, databases and cloud services.
• Develop monitoring for AI applications, models, agents, prompts, dependencies, performance and reliability.
• Implement distributed tracing and end-to-end transaction monitoring to identify bottlenecks and root causes.
• Build Java and Python automation for Dynatrace onboarding, configuration, alerting, dashboards, workflows and CI/CD.
• Evaluate Dynatrace AI features and emerging observability technologies.
• Communicate technical findings, solutions and architecture recommendations to engineering teams and stakeholders.

Required Skills

• Dynatrace
• Java
• Python
• Kubernetes
• Docker
• Distributed tracing
• Application performance monitoring
• CI/CDGit
• Database systems