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 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.