iShare Inc
Senior Datadog Architect & Implementation Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Strong hands-on experience implementing Datadog in multi-account AWS environments.
- Proven experience configuring Datadog AWS metrics polling.
- Hands-on experience deploying and supporting the Datadog Forwarder Lambda.
- Experience configuring CloudWatch Logs subscription filters and centralized log forwarding.
- Strong knowledge of AWS Organizations and organization-wide cloud deployments.
- Hands-on experience with CloudFormation and CloudFormation StackSets.
- Strong understanding of cross-account IAM roles, trust policies, permissions, and security controls.
- Experience with AWS X-Ray, OpenTelemetry, distributed tracing, metrics, logs, and spans.
- Hands-on experience supporting AWS Lambda, Amazon ECS/Fargate, CloudWatch Logs, and CloudWatch Metrics.
- Experience building production Datadog dashboards, monitors, alerts, and notification workflows.
- Ability to implement solutions against an existing enterprise architecture.
- Experience working through security, compliance, and IAM approval processes.
- Strong troubleshooting, cross-team delivery, and production-support skills.
- Excellent written and verbal communication skills.
Nice to have
- Experience monitoring AI or generative AI solutions built with Amazon Bedrock or Bedrock AgentCore.
- Experience creating token-usage and cost-monitoring dashboards for AI workloads.
- Knowledge of Datadog tagging strategies and AWS tag taxonomies.
- Datadog or AWS professional certifications.
- Experience delivering observability solutions in regulated enterprise environments.
Full description
Locations: India (Offshore) and United States (Onsite)
**Compensation:
-
Role Overview
We are seeking a hands-on Senior Datadog Architect & Implementation Engineer to lead the Datadog implementation for a multi-account AWS observability rollout across Development, UAT, and Production environments.
The platform supports a portfolio of AI agent solutions built using Amazon Bedrock, Bedrock AgentCore, AWS Lambda, and Amazon ECS. This is an implementation-focused position—not an advisory or dashboard-only role.
The successful candidate will deliver a fully operational observability solution, including live dashboards, correctly configured alerts, centralized logs, metrics, distributed traces, and production-ready notification routing.
Key Responsibilities
- Design and deploy an organization-wide Datadog AWS integration across Dev, UAT, and Prod environments.
- Implement the integration using AWS CloudFormation StackSets, AWS Organizations, and secure cross-account IAM roles.
- Build and maintain the CloudWatch Logs-to-Datadog pipeline using the Datadog Forwarder Lambda and CloudWatch subscription filters.
- Configure Datadog AWS metrics polling across multiple AWS accounts.
- Enable CloudWatch Transaction Search and configure the Datadog AWS X-Ray integration.
- Ensure AgentCore trace and span data is visible and searchable within Datadog.
- Implement distributed tracing and telemetry using AWS X-Ray and OpenTelemetry.
- Create tag-driven dashboards organized by environment, AWS account, application, and AI solution.
- Build dashboards for AI token consumption, platform usage, performance, reliability, and cost monitoring.
- Define, configure, and tune Datadog monitors and alert thresholds.
- Establish notification routing, escalation paths, and production-support procedures.
- Troubleshoot issues involving missing logs, metrics, traces, permissions, tags, and cross-account integrations.
- Work with security, cloud infrastructure, platform, and application teams to complete IAM and compliance reviews.
- Provide production support and maintain the implemented Datadog platform.
Required Qualifications
- Strong hands-on experience implementing Datadog in multi-account AWS environments.
- Proven experience configuring Datadog AWS metrics polling.