Observability Engineer - Dynatrace

7 - 9 Years
2 Openings
Hyderabad

We are seeking an experienced Observability Engineer to design, build, and scale modern observability platforms across cloud-native and on-premises environments. This role focuses on custom data integration, time-series data at scale, and user-facing web experiences, enabling teams and stakeholders to gain clear, actionable insights into system health, performance, and reliability.

Key Responsibilities

Observability Platform Design

• Design, implement, and operate end-to-end observability frameworks encompassing metrics, logs, traces, and events.

• Integrate observability solutions across cloud-native and on-premises infrastructures.

Data Integration & Ingestion

• Build and maintain scalable data ingestion pipelines to collect telemetry from diverse sources via APIs and custom integrations.

• Manage and optimize time-series data for high-volume, high-cardinality environments.

Custom Solutions & Visualization

• Develop custom dashboards, s, and reporting views that translate complex telemetry into actionable insights.

• Implement dashboards-as-code and ensure consistency, versioning, and reusability.

Web Experience & Status Pages

• Design and maintain user-friendly status pages and health dashboards to communicate real-time system health and incidents to internal and external stakeholders.

• Enhance the overall web experience for observability consumers.

Tooling & Advanced Monitoring

• Leverage tools such as Prometheus, Grafana, and Dynatrace for monitoring, visualization, and deep-dive performance analysis.

• Implement best practices for ing, anomaly detection, and root cause analysis.

Collaboration & Evangelism

• Partner closely with Development, Operations, and SRE teams to define meaningful SLIs, SLOs, and KPIs (latency, availability, error rates, saturation).

• Promote observability best practices and standards across teams.

Performance & Reliability Engineering

• Use data-driven insights to improve system reliability, reduce Mean Time to Resolution (MTTR), and optimize infrastructure and application performance.

Required Skills & Qualifications

Technical Skills

• Strong hands-on experience with Prometheus, Grafana, and Dynatrace.

• Deep understanding of time-series data and query languages such as PromQL.

• Solid knowledge of API design, data modeling, and telemetry data pipelines.

• Proficiency in scripting and backend development using Python, Go, or Java.

Platform & Infrastructure Experience

• Proven experience designing and scaling production-grade observability stacks.

• Hands-on experience with cloud platforms such as AWS and/or Azure.

• Strong exposure to containerized environments, especially Kubernetes.

• Experience with Infrastructure as Code and dashboards-as-code (e.g., Terraform).

Soft Skills

• Excellent analytical, problem-solving, and troubleshooting skills.

• Strong communication and stakeholder management capabilities.

• Ability to translate complex technical data into clear, actionable recommendations for both technical and non-technical audiences.

Dynatrace,Prometheus,Aws,Data Modelling