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.