AWS Cloud Engineer (Gen AI Tools)

TCS Hiring for AWS Cloud Engineer (Gen AI Tools)

Experience Range: - 06 To 10 Years (Mandatory)

(Note: Candidates below 6 years of IT experience shall not be considered)

JOB LOCATION: Bengaluru, Chennai, Hyderabad, Pune, Delhi

JOB DESCRIPTION

About the Role:

The purpose of this role is to manage and support the day-to-day operations of the cloud engineering team that is focussed on incorporating/transitioning IT technology into cloud-based products and systems. Taking an active role in translating concepts and methods into a coherent architectural design or practice plan such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), the role holder will be engaged in developing complete E2E detailed models suitable for cloud realisation.

We are seeking a highly skilled and experienced Cloud Engineer to work on GenAI projects. This role will be instrumental in designing, building, and maintaining scalable, secure, and cost-effective infrastructure and application components that power Generative AI workloads on AWS. You will work closely with data scientists and MLOps engineers to operationalise GenAI solutions using modern DevOps practices and Infrastructure-as-Code principles.

Roles and Responsibilities:

• Architect, implement, and maintain AWS infrastructure to support scalable, production-grade GenAI workloads using services including Lambda, API Gateway, DynamoDB, Bedrock, S3, SageMaker, and IAM.
• Develop and maintain Python-based reusable GenAI components, ensuring seamless integration with AWS services, efficient model invocation, logging, monitoring, and automated unit testing.
• Design and manage Terraform codebases to provision and orchestrate cloud infrastructure for GenAI systems, emphasizing scalability, security, and cost optimization.
• Build and maintain CI/CD pipelines using GitHub Actions to automate code validation, testing, deployment, and post-deployment checks for GenAI services.
• Implement robust IAM policies and access control for secure execution of GenAI workloads, ensuring compliance with best practices and enterprise standards.
• Collaborate with cross-functional teams, including data scientists, backend engineers, and DevOps teams, to deliver well-integrated, high-performing GenAI services.
• Monitor, troubleshoot, and optimize GenAI workloads for performance, reliability, and cost, leveraging AWS CloudWatch, X-Ray, and custom logging.
• Contribute to internal knowledge sharing, best practices documentation, and reusable architecture patterns for GenAI use cases.

Minimum Qualification:

15 years of Full Time Education

Interested candidates kindly share your updated resume to [Confidential Information] immediately with the details below (Mandatory)

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