Job Title

Greetings!!! TCS is hiring...Role: GCP Vertex AI cloud Engineer EXP: 5 - 8 YEARS LOCATION: PAN INDIANotice Period- 30 DAYSJob DescriptionTerraform, 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 workflowsResponsibility of / Expectations from the RoleDesign 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 industry’s best practices.