Senior Datadog Architect – Implementation Engineer

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $70 - $75 / hour

⏱ Part Time

🟠 Senior

🛠️ Implementation Specialist

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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iShare Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

iShare Inc. is a New Jersey–based boutique IT consulting firm that provides strategic advisory, software development, and staffing services focused on helping organizations adopt the right technologies for business improvement and transformation. The firm emphasizes practical, people-centered consulting—guided architecture, automation, BI, and information security—delivered by senior leaders with deep enterprise experience across industries such as chemicals/manufacturing, healthcare, software, and professional services. iShare positions itself as a trusted, hands-on B2B partner offering white‑glove service and industry-aware IT solutions to mid-market and enterprise clients across the US.

📋 Description

• Design and deploy an organization-wide Datadog AWS integration across Development, UAT, and Production environments • Implement integrations using AWS CloudFormation StackSets, AWS Organizations, and secure cross-account IAM roles • Build and maintain the CloudWatch Logs-to-Datadog pipeline using 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 in Datadog • Implement distributed tracing and telemetry using AWS X-Ray and OpenTelemetry • Create tag-driven dashboards 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 missing logs, metrics, traces, permissions, tags, and cross-account integrations • Collaborate with security, cloud infrastructure, platform, and application teams on IAM and compliance reviews • Provide production support and maintain the implemented Datadog platform • Deliver working integrations, operational log-forwarding and metrics-polling pipelines, searchable AgentCore traces and spans, live dashboards, tuned alerts, notification routing, and support documentation

🎯 Requirements

• 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 • Preferred: experience monitoring AI or generative AI solutions built with Amazon Bedrock or Bedrock AgentCore • Preferred: experience creating token-usage and cost-monitoring dashboards for AI workloads • Preferred: knowledge of Datadog tagging strategies and AWS tag taxonomies • Preferred: Datadog or AWS professional certifications • Preferred: experience delivering observability solutions in regulated enterprise environments • Candidates must have personally designed and implemented Datadog across multiple AWS accounts; dashboard-only or monitor-management experience is not a strong match

🏖️ Benefits

• Text-message hiring updates • Production support and support documentation as part of the engagement