Job Title: Google Cloud Platform Cloud Engineer Location: Riverwoods, IL Duration: 9+ Months Contract Job Description: We are looking for a skilled Google Cloud Platform Cloud Engineer to join our team. The ideal candidate will have extensive experience with Google Cloud Platform (Google Cloud Platform) services, infrastructure as code (Terraform, Ansible etc.), networking, security, and automation (Bash, Python, Jenkins etc). You will work closely with various departments in the organization to

Hello, We have Multiple Positions on Google Cloud Platform with 100% REMOTE option for Long Term Duration Must Have : Google Cloud Platform,Spanish language Why work with us ? We are the direct vendors of the clients 100% Remote

Job Title: Big Query Consultant/ Google Cloud Platform Cloud Architect / Cloud Data Architect Location : Remote Duration: 12+Months Required Skills & Qualifications 5+ years of experience in log security, threat detection, and cloud security. Strong expertise in Google Cloud Platform (Google Cloud Platform), including Cloud Logging, Cloud Security Command Center (SCC), IAM, and VPC. Hands-on experience with Google BigQuery for security log analysis and threat intelligence. Proficiency in SQL, Py

The pay range is $163,000.00 - $294,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life

RESPONSIBILITIES: Kforce has a client in Cincinnati, OH that is seeking a Lead Cloud Engineer. Summary: We are seeking a Lead Cloud Engineer, AI Enablement to join our AI Platform Acceleration team. The AI Platform Acceleration team will enable AI democratization through apps & services. You will collaborate with cross-functional teams of data scientists, research scientists, software engineers, and product leads to understand business requirements, identify opportunities for AI integration, an