Datadog APM & Full-Stack Observability Architect

Company Description

Provate is a global IT servicesand engineering company deliveringcloud, platform engineering, observability, and reliability solutionsfor enterprise and high-growth digital platforms.We help enterprises and high-scale digital platforms buildresilient, scalable, and high-performance systemsby combining deep technicalexpertisewith strong operational practices.

Role Description

Provate, Inc. is seeking a full-time Datadog Application Performance Monitoring Full Stack Observability Architect to join their team on-site in Hyderabad. This role involves designing and implementing application performance monitoring (APM) solutions using Datadog, creating end-to-end observability strategies, and ensuring optimal performance across key systems. The architect will collaborate with cross-functional teams, troubleshoot and resolve performance issues, and ensure best practices in monitoring are implemented across development and production environments. Additionally, the role includes optimizing telemetry data and developing dashboards that provide clear, actionable insights for technical and leadership teams. If you are an expert in distributed tracing and "Monitoring as Code," we want to hear from you.

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Role: Datadog APM Full-Stack Observability Architect

Location: Hyderabad, India

Work Model: Work From Office (WFO)

Experience: 712 Years

: Design end-to-end monitoring strategies for large-scale distributed systems and microservices.

: Drive the adoption of APM, RUM, and Synthetics to provide a 360-degree view of application health.

: Build and scale observability using Terraform and Datadog APIs to ensure consistent, repeatable deployments.

: Lead technical demos, Proof of Concepts (PoCs), and workshops to align observability goals with business outcomes.

Architect and implement Datadog APM for complex, multi-language environments.

Configure and tune metrics, logs, traces, and Service Level Objectives (SLOs).

Integrate Datadog seamlessly with AWS/Azure/GCP and Kubernetes clusters.

Develop custom automation using Python, JavaScript, or Go to extend monitoring capabilities.

Mentor teams on SRE and DevOps monitoring best practices.

: Expert-level mastery of the Datadog Observability Suite (APM, Logs, Metrics, RUM).

: Hands-on experience with Java, .NET, Node.js, Python, or Go.

: Strong expertise in Kubernetes, Docker, and Cloud-native architectures.

: In-depth knowledge of distributed tracing and microservices patterns.

: Proven experience with CI/CD integration and Infrastructure as Code (Terraform).