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Datadog Architect

Client

Thomson Reuters( please keep it confidential)

Position

Datadog Architect

Location

Baltimore MD

Job Description

  • Minimum 5 years of relevant work experience with Datadog or alternative products like Dynatrace set up in critical production environments
  • Has experience working with AWS hosted applications and services
  • Experience using observability dashboards particularly centered around APM
  • Experience with Ansible automation on production and non-production environments
  • Working knowledge of coding .NET applications and log frameworks

 

Core Capabilities:

  • Expert level knowledge on Datadog integration with agents as well as APM and RUM
  • Ability to convert existing ElasticSearch Grok patterns and filters to Datadog and set up a new forwarder
  • Proficient in AWS, particularly CloudWatch, CloudTrail and EC2
  • Ability to deploy Datadog agents across on-prem and cloud-hosted instances
  • Understand how to build observability into monolithing applications to expose telemetry via the OpenTelemetry SDK or Zipkin traces
  • Understand the customer service requirement to define and create service level objectives (SLO’s) as well as corresponding dashboards
  • Strong knowledge of Ansible and Powershell to automate deployment of Datadog agents
  • Experienced in running R&D labs as well as incubating new solutions
  • Strong grasp of 4 Golden Signals, MELT and RED approaches to observability
  • Creating actionable dashboards and associated alerts based on thresholds using Datadog
  • Ability to write IaC using Terraform or Packer

 

Qualification:

  • Datadog Fundamentals certification or certification from any other product vendor
  • AWS associate level certifications are a bonus, but not mandatory

Role & Responsibilities:

  • Design the entire observability solution using Datadog for a .NET application and its infrastructure
  • Conduct R&D activities in the form of labs on Datadog RUM, APM setup and Log consolidation
  • Build integrations for observability into on-prem and cloud hosted applications using Datadog and ensure the deployment as well as continuous running of agents
  • Instrument and expose traces from monolithic .NET applications
  • Connecting telemetry data from cloud and on-prem applications into a single source of truth
  • Direct liaison with the application architecture / design team to accept guidance around the application and ongoing migration to AWS
  • Contribute towards improving the new logging standards set out by the design team based on feedback after integration with Datadog and alignment to observability standards
  • Document the observability solution, guidance for new agent deployment, dashboard amendments and alert modifications
  • Train a new team and hand over in-life maintenance of the Datadog solution built
  • Test the entire solution for proper data flow and visibility of telemetry using the dashboards as well as common observability schema
  • Perform an analysis of the uplifted ecosystem and suggest any improvements to the application / deployment architecture for self-healing capability via AIOps
  • Build a fault-tolerant solution to automatically deploy new agents for any new instances provisioned

 

 

 




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