ManpowerGroup - Irving, TX

posted 4 months ago

Full-time
Irving, TX
Administrative and Support Services

About the position

The Cloud Infrastructure and Solutions Engineer position at Experis involves working with a leading Financial Services organization to enhance their cloud infrastructure. This role is critical in ensuring the smooth operation and optimization of cloud services, particularly within the Google Cloud Platform (GCP) and Azure environments. The engineer will be responsible for troubleshooting and managing environments across the entire architecture, from applications to infrastructure, ensuring that all components work seamlessly together. Candidates should have a strong background in technology infrastructure engineering and solutions, with a minimum of 4 years of experience in Linux systems. Additionally, the role requires at least 2 years of experience in Artificial Intelligence, Business Intelligence, or Machine Learning, showcasing the need for a candidate who is not only technically proficient but also familiar with modern data processing and analytics techniques. The engineer will also be tasked with creating best practices, procedures, and monitoring systems for cloud implementations, which is essential for maintaining high availability and performance of cloud services. This position is hybrid, requiring some onsite work in accordance with CDC and client guidelines for a safe return to the workplace. Local candidates or those willing to relocate are encouraged to apply, as the role is based in Irving, TX. The contract duration is expected to be between 12 to 18 months, providing a substantial opportunity for professionals looking to make a significant impact in a dynamic environment.

Responsibilities

  • Troubleshoot environments across the entire architecture, from applications to infrastructure.
  • Create best practices and procedures for cloud implementations.
  • Implement observability and monitoring solutions for cloud services.
  • Collaborate with cross-functional teams to enhance cloud infrastructure.
  • Utilize GCP and Azure technologies to optimize cloud performance.

Requirements

  • 4+ years of experience with Linux systems.
  • 2+ years of experience in Artificial Intelligence, Business Intelligence, or Machine Learning.
  • Experience with GCP and/or Azure cloud platforms.
  • Demonstrated experience in technology infrastructure engineering and solutions.
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