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.
