Architecture / architect

Observability Architect (Dynatrace)
Employment Type: Contract
We are seeking a highly skilled Observability Architect with deep expertise in Dynatrace to design, implement, and optimize enterprise observability frameworks. This role will drive end-to-end monitoring strategies across applications, infrastructure, cloud platforms, and containerized environments to ensure performance, availability, and operational resilience.
The ideal candidate will act as a strategic leader in observability architecture, enabling proactive monitoring, automation, and AIOps integration.
Observability Architecture & Strategy

Establish architecture standards, governance frameworks, and best practices for monitoring.
Ensure scalability, high availability, and performance of observability platforms.
Dynatrace Implementation

Configure and optimize Dynatrace OneAgent, AppMon, Real User Monitoring (RUM), and cloud integrations .
Design synthetic monitoring, custom metrics, dashboards, and alerting strategies.
Optimize monitoring coverage across hybrid and multi-cloud environments.
Cloud & Container Monitoring

Implement monitoring solutions across AWS, Azure, and GCP environments.
Design observability for Kubernetes and Docker-based containerized applications .
Ensure comprehensive visibility across microservices architectures.
Integrate Dynatrace with ITSM, AIOps, and logging platforms .
Utilize scripting (Python, Bash, PowerShell) to automate deployment and monitoring workflows.
Work with Infrastructure-as-Code tools such as Terraform and Ansible for monitoring automation.
Partner with DevOps, SRE, IT, and business teams to align observability strategies with enterprise goals.
Conduct training sessions and knowledge-sharing initiatives on observability best practices.
Provide architectural guidance during modernization and cloud transformation initiatives.
8-10 years of experience in enterprise monitoring and observability architecture .

• Deep expertise in Dynatrace (OneAgent, AppMon, RUM, Cloud integrations) .
• Strong experience with AWS, Azure, and/or GCP cloud platforms.
• Experience monitoring containerized environments (Kubernetes, Docker) .
• Proficiency in scripting languages such as Python, Bash, or PowerShell .
• Knowledge of monitoring protocols such as SNMP, REST APIs, and log forwarding .
• Experience with Terraform, Ansible, and DevOps automation practices .