GCP Vertex AI cloud Engineer

4 days ago

Kanpur, India Tata Consultancy Services Full time

Greetings TCS is hiring... Role: GCP Vertex AI cloud Engineer EXP: 5 - 8 YEARS LOCATION: PAN INDIA Notice Period- 30 DAYS Job Description - 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 industry’s best practices.

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