Datadog Platform & Observability Architect

GSPANN is hiring a Datadog Platform & Observability Architect to design enterprise monitoring solutions, reducing incidents and strengthening visibility across applications and infrastructure.

• Design, configure, and maintain Datadog monitors, dashboards, alerts, and integrations.
• Build observability coverage across infrastructure, application, and network layers.
• Implement observability solutions for Enterprise Resource Planning (ERP) and e-commerce applications.
• Drive adoption of Datadog's AI-driven modules for automated issue detection and prevention.
• Support Infrastructure Monitoring, APM, Log Management, Synthetic Monitoring, RUM, and API monitoring across the Datadog platform.
• Manage application and infrastructure telemetry, including metrics, logs, traces, and events.
• Optimize Datadog log pipelines, including parsing rules, indexes, retention filters, and enrichment.
• Ensure Datadog Agents are properly configured and troubleshoot issues across Windows, Linux, cloud, containers, and Kubernetes environments.
• Develop application-specific dashboards that provide end-to-end visibility into application health and performance.
• Build proactive alerts for critical applications, APIs, infrastructure components, and business services.
• Optimize existing monitors by continuously improving alert thresholds, reducing noise and duplicate alerts, and refining actionable notifications.
• Support application teams with troubleshooting using logs, traces, metrics, and dependency information.
• Drive monitoring gap assessments and recommend improvements.
• Implement integration of Datadog with IT Service Management (ITSM) and collaboration platforms such as Ivanti, ServiceNow, Microsoft Teams, and Slack.
• Support automation and event-driven incident creation and enrichment.
• Collaborate with DevOps and SRE teams to implement monitoring-as-code using Terraform or similar tools.
• Support major incident troubleshooting and RCA / problem-management activities.
• Ensure Standard Operating Procedures (SOPs), monitoring standards, technical documentation, and knowledge articles stay current.
• Drive knowledge-transfer sessions to help support teams use Datadog effectively for incident triage.
• Ensure monitoring effectiveness is tracked, demonstrating measurable improvements such as reduced alert noise, faster detection, lower Mean
• Time to Recovery (MTTR), and fewer repeat incidents.

• Bring strong hands-on experience with Datadog.
• Manage Datadog Infrastructure Monitoring and Agent configuration.
• Demonstrate expertise in APM and Distributed Tracing.
• Work with Log Management and Log Pipelines.
• Manage Datadog dashboards, monitors, alerts, and notification configuration.
• Apply Synthetic and API monitoring techniques.
• Bring experience troubleshooting Windows and Linux systems.
• Demonstrate good understanding of cloud platforms, preferably Azure and/or AWS.
• Apply knowledge of containers and Kubernetes monitoring.
• Demonstrate understanding of REST APIs, JSON, and integration concepts.
• Bring scripting knowledge in Python, PowerShell, Bash, or similar languages.
• Develop Infrastructure-as-Code using Terraform, which is an advantage.
• Demonstrate strong troubleshooting and root-cause analysis skills.
• Bring experience with Datadog RUM and Digital Experience Monitoring.
• Utilize network monitoring tools and techniques.
• Apply Azure Monitor and Log Analytics knowledge.
• Demonstrate exposure to application performance optimization and capacity planning.
• Bring Workato or other integration and automation platform experience, which is an advantage.
• Develop SRE and Observability implementation experience, which is an advantage.
• Utilize Continuous Integration / Continuous Delivery (CI/CD) monitoring experience, which is an advantage.
• Demonstrate Information Technology Infrastructure Library (ITIL) knowledge covering Incident, Problem, and Change Management, which is an advantage