Infrastructure Systems Engineer

Role: Infrastructure Systems Engineer
Location: San Jose, CA or Scottsdale, AZ Hybrid 2-3 days
Duration: 1 year+ Contract long term

Top 5 Must Have Technical system tools or technical requirements

• • Automation tools
  • Big data tools
  • Vulnerability patching
  • Vulnerability management tools/experience
  • Scripting (python or shell preferred vs bash)
  • Google Cloud Platform ( Dataproc and Bigquery )
  • understand and work with data center teams, groupwatch.
• Automation tools like ansible, Jenkins, Harness ( new standard for paypal ).
• Work with datacenter teams for racks migration.
• Work on Google Cloud Platform issues and have strong understanding of resources primarily related to Dataproc, Spark jobs, Bigquery jobs, pubsub, bigtable.
  

Duties:

Infrastructure Management

• Handle hardware-related issues across multiple environments.
• Collaborate with the Data Center team for capacity planning and migrations.

• Procure, provision, and manage both new and existing servers based on demand forecasts.
• Perform hardware health checks and manage replacements or upgrades proactively.
• Coordinating with Datacenter team for proper disposal and movement of racks for repurpose.

Big Data Management

• Build, upgrade, and maintain Hadoop clusters

• Implement and manage cluster-level configuration changes to meet evolving workload requirements.
• Troubleshoot and resolve both user-level and platform-level issues, ensuring minimal downtime.
• Optimize resource usage and job performance through tuning and best practices.

Vulnerability Management and Automation

• Efficiently patch OS and application-level vulnerabilities using automation tools.

• Coordinate with application owners to prioritize and patch critical vulnerabilities that impact jobs.

• Implement OS hardening and maintain configuration compliance across the infrastructure.
• Automate the lifecycle of Google Cloud Platform VM instances, including creation, patching, and monitoring.
• Generate vulnerability reports and track remediation progress through security dashboards.
• Design and implement automation workflows for both on-premises and Google Cloud Platform environments to improve reliability and reduce manual effort.
• Continuously improve existing automation pipelines and introduce new use cases to support cross-functional teams.

Server Management

• Manage critical client infrastructure and ensuring system uptime.

• Resolve hardware failures, coordinate vendor support, and perform component replacements.
• Manage installation of system packages, libraries, and custom application dependencies.

• Maintain OS hardening and ensure configuration consistency using automation tools.
• Document client environments and maintain SOPs for efficient issue resolution.

Google Cloud Platform Management

• Troubleshoot and resolve issues related to Dataproc, BigQuery, and other Google Cloud Platform services.

• Collaborate with Google Cloud Platform support teams and internal stakeholders to ensure platform stability and performance.
• Develop and maintain automation scripts for Google Cloud Platform resources
• Google Cloud Platform/Bigquery Capacity Management