Cloud Engineer

5 days ago

Mumbai, India Tata Consultancy Services Full time

TCS is Hiring Cloud Engineer For Mumbai and Bangalore locationExperience : 6 - 8 yearsMode of interview: VirtualLocation : Mumbai, BangaloreJOB DESCRIPTION:Must have: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.Good to have:Teamwork: Ability to work effectively in a collaborative team environment.Communication: Strong verbal and written communication skills.Problem-Solving: Excellent problem-solving and analytical skills.Adaptability: Ability to adapt to changing technologies and environments.Responsibilities: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 pipelinesEstablish 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.

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