Datadog Platform & Observability Architect

GSPANN Technologies, Inc.; Pune District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

GSPANN Technologies, Inc. seeks a Datadog Platform & Observability Architect to design enterprise monitoring solutions across applications and infrastructure. You will configure monitors, dashboards, and alerting, while expanding observability across ERP and e-commerce apps.

The role emphasizes AI-driven issue detection, ITSM integrations, and monitoring-as-code with Terraform. Collaboration with DevOps and SRE teams is essential.

Qualifications

• Bring strong hands-on experience with Datadog.
• Demonstrate expertise in APM and Distributed Tracing.
• Work with Log Management and Log Pipelines.
• Bring experience configuring Datadog dashboards, monitors, and alerting.
• Develop Infrastructure-as-Code using Terraform, which is an advantage.

Responsibilities

• Design, configure, and maintain Datadog monitors, dashboards, alerts, and integrations.
• Build observability coverage across infrastructure, application, and network layers.
• Implement observability solutions for 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 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 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 MTTR, and fewer repeat incidents.

Skills

Datadog

APM

Distributed tracing

Terraform

Kubernetes

Azure

AWS

Python

PowerShell

Log management

SRE

Observability

ITSM integrations

Tools

Terraform

Ivanti ITSM

ServiceNow

Microsoft Teams

Slack

Datadog Agent

Kubernetes

Azure Monitor

Log Analytics

Job description

Datadog Platform & Observability Architect

Datadog Observability Site Reliability Engineering (SRE) Application Performance Monitoring (APM) Distributed Tracing Log Management Microsoft Azure Amazon Web Services (AWS) Kubernetes Terraform Python PowerShell

Description

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

Roles and Responsibilities

• 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.

Skills and Experience

• 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