Cloud Engineer

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.