Dear Candidate,
Greetings from TATA Consultancy Services!!
Thank you for expressing your interest in exploring a career possibility with the TCS Family.
Hiring For:- AI Cloud Engineer
Location: PAN INDIA
Experience: 5 to 8yrs
ob Description: As an AI Cloud Engineer at Zions Bancorporation, you will play a crucial role in establishing Google Cloud foundations and onboarding native cloud services to meet infrastructure and project specifications. You will have the opportunity to work on exciting projects and develop your skills in a supportive environment.
- 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
- 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.
- 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.
- 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.
- Security & Governance: Assist with the development and management of security and governance processes to ensure that cloud deployments are secure and follow industry best practices.
Technical Experience and Qualifications:
We value candidates who have a thinker/doer mentality. A willingness to learn and grow is critical to success.
- Experience: 4+ years of relevant work experience in cloud engineering.
- AI Platforms: Understanding of AI platforms in a cloud environment (Vertex AI, CoPilot, Sagemaker, Bedrock).
- 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.
- Programming: Basic knowledge of programming languages like Python.
- BDD: Strong experience with Behavior Driven Development (BDD) creation for testing.
