Datadog APM Full-Stack Observability Architect

Location

Bangalore

Job Description

We are looking for an experienced Datadog APM Full-Stack Observability Implementer & Deve loper to design, implement, and optimize observability solutions across complex, distributed environments. The ideal candidate will have deep experience in APM, infrastructure monitoring, logs, RUM, synthetic monitoring, and full-stack observability using Datadog, along with exposure to tools like App Dynamics, Dynatrace, Splunk, New Relic, or similar platforms.

This role requires strong client-facing communication skills, the ability to design and present observability solutions, and hands-on development/integration capabilities.

Responsibilities

• Architect, deploy, and configure Datadog APM to monitor distributed systems, microservices, cloud workloads, and business applications.

• Implement APM instrumentation for services running on Java, .NET, Node.js, Python, Go, and other technologies.

• Set up and optimize traces, spans, logs, metrics, RUM, synthetics, dashboards, monitors, alerting, and SLOs.

• Configure Datadog Integrations for cloud platforms (AWS, Azure, GCP), containers (Kubernetes, ECS), and CI/CD pipelines.

• Build custom monitoring solutions, dashboards, and visualizations for application & infrastructure performance.

Develop automated detection and correlation strategies using Datadog features like

• Watchdog

• Service Maps

• Log Pipelines

• APM Tracing Libraries

• Notebooks

• Implement custom scripts, APIs, and automations using Python, JavaScript, Terraform, or Datadog APIs.

• Integrate Datadog with ITSM, CI/CD, logging, cloud-native services, and event management tools.

• Deliver Po Cs, demos, technical workshops, capability presentations, and solution walkthroughs.

• Continuously improve monitoring strategies to enhance SRE/DevOps workflows.

Technical Skills

• 7–12 years of experience in APM, observability, performance engineering, or full-stack monitoring.

• Strong hands-on expertise with Datadog APM & Observability Suite (traces, logs, metrics, RUM, synthetics, SLOs).

• Experience implementing APM in one or more languages (Java, .NET, Node.js, Python, Go).

• Experience with containerized and cloud-native environments (Kubernetes, Docker, serverless).

• Good understanding of microservices architectures, distributed tracing, and correlation models.

• Strong scripting and automation skills using Python, Bash, PowerShell, or JavaScript.

• Experience with infrastructure-as-code tools such as Terraform, CloudFormation, ARM, etc.

• Any Public Cloud certifications (AWS/GCP/Azure).

• Datadog APM Implementation / Datadog Observability Foundationn Certification

• Familiarity with DevOps and SRE frameworks (SLI/SLO/SLA design, incident response, chaos engineering).