Observability Engineer

Observability Engineer / Dynatrace (Custom Data Integration)

• Design and implement observability frameworks by integrating and managing monitoring, logging, and tracing for cloud-native and on-premises systems.
• Build systems to collect and ingest data from various sources, often through APIs, and manage time-series data at scale.
• Create custom dashboards, alerts, and reporting views to provide clear, actionable insights into system performance.
• Develop and maintain status pages that provide a user-friendly web experience to communicate system health to stakeholders.
• Leverage tools such as Prometheus and Grafana for time-series data collection and visualization, and Dynatrace for deep-dive analysis and monitoring.
• Use data-driven insights to improve system reliability, reduce Mean Time To Resolution (MTTR), and optimize resource usage.

• Proficiency in Prometheus, Grafana, and Dynatrace.
• Experience with time-series data, including PromQL.
• Strong knowledge of API design, data modeling, and data pipelines.
• Expertise in scripting and backend development (e.g., Python, Go, Java).
• Proven experience designing and scaling observability stacks for production systems.
• Hands‑on experience with cloud platforms (AWS, Azure).
• Experience with containerization (e.g., Kubernetes).
• Familiarity with dashboards as code and Terraform.

Note: If you are interested, please share your resume with  or contact .

Mid-Senior level

Contract

Information Technology

IT Services and IT Consulting