Observability Engineer

Observability Engineer / Dynatrace (Custom Data Integration) Responsibilities 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. Qualifications 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 View email address on click.appcast.io or contact View phone number on click.appcast.io. Seniority Level Mid-Senior level Employment Type Contract Job Function Information Technology Industries IT Services and IT Consulting #J-18808-Ljbffr VMC Soft Technologies, Inc