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[Remote] Senior Datadog Architect & Implementation Engineer
Note: The job is a remote job and is open to candidates in USA. iShare Inc. is an IT consulting firm providing technology advisory, development, and staffing services. The company is seeking a Senior Datadog Architect & Implementation Engineer to implement and support a multi-account AWS observability platform, including integrations, centralized logs, metrics, traces, dashboards, monitors, alerts, and notification workflows.
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
- Working Datadog integrations across all required AWS accounts and environments
- Operational CloudWatch log-forwarding and metrics-polling pipelines
- Visible and searchable AgentCore traces and spans
- Live, tag-driven operational and cost dashboards
- Correctly firing and tuned monitors and alerts
- Production-ready notification routing and support documentation
Skills
- 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
- 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
Benefits
- Part Time • Fully Remote - US
- This is a remote position.
Company Overview