Responsibilities

Design, implement, and maintain Datadog-based observability solutions across infrastructure, platforms, and applications.
Develop and optimize dashboards, monitors, and alerts to support proactive detection and triage of performance and reliability issues.
Integrate custom telemetry pipelines (metrics, logs, traces, events) aligned with OpenTelemetry and platform architecture standards.
Manage instrumentation strategies to ensure accurate and consistent coverage across services.
Apply SRE principles to improve service reliability, availability, and performance.
Define and track SLIs, SLOs, and SLAs for critical systems, and build feedback loops to continuously enhance service health.
Automate manual operational processes using Python, Terraform, or CI/CD tooling.
Collaborate with development and platform teams to identify resilience patterns and embed observability by design.
Serve as the subject matter expert (SME) for Datadog — advising on advanced configurations, integrations, and performance optimization.
Enable distributed tracing, APM, RUM, and synthetics capabilities to support end-to-end visibility.
Implement and maintain Datadog Terraform configurations, templates, and governance models for enterprise consistency.
Conduct performance tuning and cost optimization for Datadog usage across global environments.
Partner with the Operations and Platform teams to analyze incident patterns and provide root cause insights through observability data.
Lead post-incident reviews and recommend observability-driven improvements to prevent recurrence.
Build automation and correlation mechanisms for real-time alert enrichment and contextual diagnostics.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field.
5+ years of experience in observability engineering or SRE roles within large-scale distributed systems.
Deep, hands-on expertise with Datadog, including APM, Logs, Metrics, RUM, and Synthetics.
Strong proficiency in:
- Infrastructure as Code (IaC): Terraform
- Automation: Python, Bash, or similar scripting languages
- CI/CD pipelines: Jenkins, GitLab, or GitHub Actions
Strong understanding of monitoring patterns, tracing, and event correlation for complex systems.
Familiarity with OpenTelemetry and modern observability frameworks.
Experience supporting multi-cloud environments (AWS, GCP, Azure).
Familiarity with container orchestration (Kubernetes, ECS) and service mesh observability.
Understanding of data visualization and analytics for operational reporting.
Exposure to AI-driven observability enhancements or integration with LLM-based insights (a plus).
Certification in Datadog, AWS, or GCP is advantageous.

Shortlisted candidates will be offered a 1 Year agency contract employment.