Observability & Monitoring Engineer

Role Summary While many vendors treat monitoring as a reactive afterthought, we embed Datadog-trained Observability Engineers directly into our engineering and operations teams to deliver real-time visibility, proactive tuning, and smarter incident management.

We are looking for a highly capable Observability & Monitoring Engineer with 46 years of experience in Datadog and related observability practices. The engineer will be at the forefront of transforming how systems are monitored—reducing noise, accelerating root-cause discovery, and enabling smarter, correlated event flows across cloud-native environments.

Core Responsibilities:

• Datadog Ownership:
• Build and maintain Datadog dashboards, monitors, and SLOs with a focus on business and operational relevance.
• Configure and tune alerts to eliminate noise and reduce false positives, enabling focused responses and intelligent routing.
• Proactive Monitoring & Alert Tuning:
• Implement proactive alert strategies based on usage patterns and event behavior.
• Continuously optimize thresholds, baselines, and anomaly detection logic to ensure actionable monitoring signals.
• Observability & Root-Cause Analysis (RCA):
• Correlate metrics, logs, and traces across distributed systems to facilitate rapid root-cause triangulation.
• Drive investigations from high CPU alerts to middleware issues such as queue overloads, using Datadog APM and tracing.
• Integrated Support & Event Correlation:
• Work closely with L2/Smart L3 and platform teams to support event correlation, AWS incident flows, and CI/CD telemetry.
• Participate in day-to-day IT operations, functional system support, and incident escalation workflows.
• SAP CPI API Monitoring:
• Build and maintain targeted dashboards for SAP CPI APIs to ensure availability, throughput, and performance visibility.

What Makes This Role Unique:

• You are embedded in the core delivery team, not isolated in a separate monitoring silo.
• You work on proactive monitoring, not just reacting to alerts.
• You support a platform aligned with Smart’s tooling and architecture, including high-frequency CI tracing and real-time AWS integration.
• You help evolve how we define “observability maturity” by integrating it deeply into development and ops workflows.

Required Skills & Experience:

• 4–6 years of experience in observability, SRE, or DevOps roles with strong exposure to Datadog.
• Experience with configuring and managing Datadog’s dashboards, monitors, APM, and logs.
• Deep understanding of observability principles: metrics, logs, distributed traces, RUM, and synthetic monitoring.
• Experience tracing infrastructure or application alerts (e.g., CPU, latency) to actual service or middleware-level bottlenecks.
• Familiarity with cloud platforms like AWS (preferred), Azure, or GCP.
• Hands-on experience in event management, incident support, and RCA documentation.
• Exposure to SAP CPI monitoring or other enterprise integration middleware is a plus.

What You’ll Get:

• The opportunity to redefine observability in a modern, fast-paced environment.
• Ownership of critical monitoring pipelines and real-time troubleshooting tools.
• Work with global engineering and platform teams to drive performance and reliability.
• Flexible work environment and access to upskilling resources.