Senior Datadog Engineer / Architect AI & Enterprise Observability

Remote • Posted 12 hours ago • Updated 11 hours ago
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Datadog
  • Artificial Intelligence
  • Observability
  • GenAI
  • Cloud Security
  • Customer Facing
  • Python
  • Terraform
  • Workflow

Summary

Job Role: Senior Datadog Engineer / Architect – AI & Enterprise Observability
Location: Remote
Hire Type: W2 Contract
 
 

Experience: 8+ years in IT/Cloud/Observability, with strong hands-on Datadog expertise.
We are looking for a highly skilled, hands-on Senior Datadog Engineer / Architect with extensive experience implementing, architecting, and optimizing enterprise Datadog solutions. The ideal candidate should have strong expertise across infrastructure, application, AI/LLM observability, and security monitoring, along with excellent communication and client-facing consulting skills.
Key Responsibilities & Requirements
  • Deep hands-on expertise in Datadog, including Infrastructure Monitoring, APM, Log Management, RUM, Synthetic Monitoring, dashboards, alerting, and integrations.
  • Strong experience with Datadog AI/LLM Observability, including monitoring GenAI applications, LLM performance, token usage, latency, costs, errors, and response quality.
  • Experience implementing AI Agent Observability, including tracing agent workflows, tool calls, RAG pipelines, and multi-step LLM interactions.
  • Architect and implement Datadog solutions from scratch, including agent deployment, instrumentation, integrations, configuration, and enterprise-wide rollouts.
  • Conduct Datadog assessments, identify monitoring gaps, recommend best practices, and optimize existing implementations for performance, scalability, security, and cost.
  • Strong understanding of cloud and security observability, including Datadog Cloud SIEM, Cloud Security Management, and integrations with AWS, Azure, Kubernetes, and enterprise security tools.
  • Experience integrating Datadog with AI platforms and frameworks such as Azure OpenAI, OpenAI, AWS Bedrock, LangChain, and OpenTelemetry.
  • Develop architecture diagrams, technical documentation, assessment reports, and client-facing presentations showcasing Datadog capabilities, recommendations, and implementation roadmaps.
  • Excellent communication and consulting skills, with the ability to independently lead technical discussions, conduct workshops, troubleshoot complex issues, and support pre-sales and related observability/security initiatives.
Nice to Have
  • Datadog certifications and prior enterprise consulting experience.
  • Python, Terraform, CI/CD, and observability automation.
  • Experience with LLM evaluations, prompt monitoring, AI security, and governance
 
 

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10122703
  • Position Id: SA-0326
  • Posted 12 hours ago
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