System Development Engineer [Latam] - Aws + Datadog / Dynatrace

Monitoring & Orchestration: Oversee log sources and GPU usage across all machines.
Data Presentation: Utilize Datadog, CheckMK, open-source tools, and Kinesis Data Streams for data visualization.
AWS Data Integration: Efficiently gather and utilize data from AWS accounts.
Troubleshooting: Address large-scale deployment issues without creating data lakes.

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AWS Organizational Units: Understanding of AWS organizational structures.
Datadog Experience: Agent or synthetic writing, New Relic, and enterprise-level logging.
Scripting: Proficiency in Bash, Python, PowerShell, and AD management.
Automation: Ability to develop CloudFormation or similar infrastructure as code.
Logging & Monitoring: Experience with OpenSearch, Kinesis, Datadog, CheckMK, Prometheus, New Relic, and Dynatrace.
Troubleshooting: Skills in troubleshooting services on Linux, Windows, and AWS.
Experience: 5+ years in system design and development.
Authentication: Proficiency with Auth APIs and connecting services to Active Directory at scale.
AMI Building: Experience with Packer, Terraform, and EC2 Image Builder.
Source Control: Familiarity with Git, source control, and code pipelines.
Service Catalog: Knowledge of Spinnaker and pipeline development.

Authentication Technologies: Experience with Active Directory, OKTA/SSO, and API integration.
Build Pipelines: Familiarity with CodePipeline and Service Catalog.
System Design: Strong background in system design and automation.