GCP Cloud Ops Engineer

3 weeks ago

Plano, United States Ascentt Full time

As a GCP CloudOps Engineer, you will play a crucial role in optimizing our cloud operations and contributing to our AI-driven projects. You will work closely with our development and operations teams to ensure the reliability, scalability, and efficiency of our cloud-based applications and services. Your expertise in Google Cloud Platform (GCP) and Vertex AI will enable us to harness the power of AI and machine learning to solve complex problems and deliver innovative solutions to our clients.

Key Responsibilities:

  • Design, implement, and manage cloud infrastructure and applications on GCP, ensuring high availability, fault tolerance, and scalability.
  • Work with Vertex AI to build, deploy, and manage machine learning models, ensuring they are integrated seamlessly with our cloud infrastructure.
  • Monitor cloud environments, implement automation for cloud operations tasks, and ensure efficient resource utilization.
  • Collaborate with development teams to adopt CI/CD pipelines for automating code deployment and infrastructure changes.
  • Implement and maintain security best practices for cloud operations, including managing IAM roles and policies.
  • Provide technical guidance and support for cloud-related issues to development and operations teams.
  • Stay up-to-date with the latest cloud technologies and trends, especially in AI and machine learning, to enhance our cloud strategy and operations.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a CloudOps Engineer, DevOps Engineer, or similar role, with a strong background in GCP.
  • Hands-on experience with Vertex AI and familiarity with machine learning concepts and operations.
  • Proficient in scripting languages (e.g., Python, Bash) and automation tools (e.g., Terraform, Ansible).
  • Deep understanding of cloud architecture and services, especially within GCP (Compute Engine, Kubernetes Engine, Cloud Storage, etc.).
  • Experience with CI/CD tools (e.g., Jenkins, GitLab CI) and containerization technologies (e.g., Docker, Kubernetes).
  • Strong knowledge of cloud security practices and experience with GCP security tools.
  • Excellent problem-solving skills, with the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.

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