Cloud Engineer

Job Description

TCS is Hiring Cloud Engineer For Mumbai and Bangalore location Experience : 6 - 8 years Mode of interview : Virtual Location : Mumbai, Bangalore JOB 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.