GCP Engineer - Automation | Maryland

Responsibilities: 

• Infrastructure as Code (IaC): 


• Design, implement, and manage infrastructure as code using Terraform for GCP environments. 


• Ensure infrastructure configurations are scalable, reliable, and follow best practices. 


• GCP Platform Management: 


• Architect and manage GCP environments, including compute, storage, and networking components. 


• Collaborate with cross-functional teams to understand requirements and provide scalable infrastructure solutions. 


• Vertex AI Integration: 


• Work closely with data scientists and AI specialists to integrate and optimize solutions using Vertex AI on GCP. 


• Implement and manage machine learning pipelines and models within the Vertex AI environment. 


• BigQuery Storage: 


• Design and optimize data storage solutions using BigQuery Storage. 


• Collaborate with data engineers and analysts to ensure efficient data processing and analysis. 


• Wiz Security Control Integration: 


• Integrate and configure Wiz Security Control for continuous security monitoring and compliance checks within GCP environments. 


• Collaborate with security teams to implement and enhance security controls. 


• Automation and Tooling: 


• Implement automation and tooling solutions for monitoring, scaling, and managing GCP resources. 


• Develop and maintain scripts and tools to streamline operational tasks. 


• Security and Compliance: 


• Implement security best practices in GCP environments, including identity and access management, encryption, and compliance controls. 


• Must understand the Policies as a Code in GCP 


• Perform regular security assessments and audits. 

Requirements: 

• Bachelor's Degree: 


• Bachelor’s degree in Computer Science, Information Technology, or a related field. 


• GCP Certification: 


• GCP Professional Cloud Architect or similar certifications are highly desirable. 


• Infrastructure as Code: 


• Proven experience with Infrastructure as Code (IaC) using Terraform for GCP environments. 


• Vertex AI and BigQuery: 


• Hands-on experience with Vertex AI for generative AI solutions and BigQuery for data storage and analytics. 


• Wiz Security Control: 


• Experience with Wiz Security Control and its integration for continuous security monitoring in GCP environments. 


• GCP Services: 


• In-depth knowledge of various GCP services, including Compute Engine, Cloud Storage, VPC, and IAM. 


• Automation Tools: 


• Proficiency in scripting languages (e.g., Python, Bash) and automation tools for GCP resource management. 


• Security and Compliance: 


• Strong understanding of GCP security best practices and compliance standards. 


• Collaboration Skills: 


• Excellent collaboration and communication skills, with the ability to work effectively in a team-oriented environment