Cloud Engineer

2 days ago

New Delhi, 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 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.

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