GCP Vertex AI cloud Engineer

Greetings!!!

TCS is hiring...

Role: GCP Vertex AI cloud Engineer

EXP: 5 - 8 YEARS

LOCATION: PAN INDIA

Notice Period- 30 DAYS

• Terraform, Linux, Ansible, Kubernetes, Vertex

• 6+ years of relevant work experience in cloud engineering.

• AI Platforms:

  Understanding of AI platforms in a cloud environment (Vertex AI, CoPilot, Sagemaker, Bedrock).

• Platform Availability:

  Ensure that the AI Platform (Vertex AI) is available and functioning as expected.

• Security:

  Ensure that public models are exposed securely and that the platform follows industry best practices for security and governance.

• Cloud Platform:

  Proficiency in Cloud Platforms with an understanding of Google Cloud Platform (GCP)

• Infrastructure as Code:

  Intermediate proficiency in Terraform for infrastructure automation.

• Network and Security:

  Advanced understanding of network and security principles.

• Linux

  : Advanced knowledge of Linux operating systems (RHEL).

• DevSecOps:

  Advanced skills in DevSecOps practices, with a focus on shift-left thinking and zero-touch automation.

• Architecture Patterns

  : Strong experience working with common architecture patterns and an understanding of AI/ML workflows

Responsibility of / Expectations from the Role

Design and Deploy: Contribute to the design and deployment of enterprise-wide scalable, highly available, secure, and reliable platforms and architecture on the Google Cloud Platform (GCP) full-stack as well as AL solutions and ML pipelines

2 • Establish Reusable Patterns: Develop reusable patterns to be used across engineering teams,

ensuring consistency and efficiency and apply these patterns to AI and ML workflows.

3 • Collaborate: Work closely with various business and technology teams to create a clear and cohesive vision for the future state of our Google Cloud Platform.

4 • Stay Informed: Maintain awareness of industry trends and technologies, recommending timely adjustments to strategies as appropriate and stay up to date on AI and ML advancements.

5 • Security & Governance: Assist with the development and management of security and governance processes to ensure that cloud deployments are secure and follow the industrys best practices.