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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Required Skills & Experience

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.

Nice to Have Skills & Experience

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.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.