Google Cloud Infrastructure Support Engineer

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

Google Cloud Infrastructure Support Engineer will be responsible for ensuring the reliability, performance, and security of our Google Cloud Platform (GCP) infrastructure. Work closely with cross-functional teams to troubleshoot issues, optimize infrastructure, and implement best practices for cloud architecture. Experience with Terraform for deploying and managing infrastructure templates. Administer BigQuery environments, including managing datasets, access controls, and optimize query performance. Be familiar with Vertex AI for monitoring and managing machine learning model deployments. Knowledge of GCP’s Kubernetes Engine and its integration with the cloud ecosystem. Understanding of cloud security best practices and experience with implementing security measures. Knowledge of setting up and managing data clean rooms within BigQuery. Understanding of the Analytics Hub platform and how it integrates with data clean rooms to facilitate sensitive data-sharing use cases. Knowledge of DataPlex and how it integrates with other Google Cloud services such as BigQuery, Dataproc Metastore, and Data Catalog.

• →Provide technical support for our Google Cloud Platform infrastructure, including compute, storage, networking, and security services.
• →Monitor system performance and proactively identify and resolve issues to ensure maximum uptime and reliability.
• →Collaborate with cross-functional teams to design, implement, and optimize cloud infrastructure solutions.
• →Automate repetitive tasks and develop scripts to streamline operations and improve efficiency.
• →Document infrastructure configurations, processes, and procedures.

Required:

• Strong understanding of GCP services, including Compute Engine, Kubernetes Engine, Cloud Storage, VPC networking, and IAM.
• Experience with BigQuery and VertexAI
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with infrastructure as code tools such as Terraform or Google Deployment Manager.
• Strong communication and collaboration skills.
• Bachelor's Degree in Computer Science or related discipline, or the equivalent in education and work experience

Preferred:

• Google Cloud certification (e.g., Google Cloud Certified - Professional Cloud Architect, Google Cloud Certified - Professional Cloud DevOps Engineer)

Employee Type:
 

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