Cloud Engineer

Tata Consultancy Services; Hyderabad; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Tata Consultancy Services is hiring a GCP DevOps Architect in Hyderabad. The role requires 8+ years of experience in cloud engineering and strong GA capabilities in Vertex AI, Sagemaker, CoPilot, Bedrock, and GCP.

You will ensure AI platform availability, secure exposure of public models, and implement DevSecOps with Terraform-based automation. Expertise in Linux (RHEL), network security, and AI/ML workflows will be essential to architect scalable cloud solutions.

Qualifications

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

Responsibilities

• Experience: 8+ 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.

Skills

Cloud engineering

Vertex AI

CoPilot

Sagemaker

Bedrock

Security best practices

GCP

Terraform

Network security

Linux (RHEL)

DevSecOps

AI/ML workflows

Architecture patterns

Tools

Terraform

Job description

We have an opening for GCP DevOps Architect.

Experience: 8yrs - 20yrs

• Experience: 8+ 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.