We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development workplace is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.

Key Responsibilities
Review, validate, and optimize existing Terraform code and AWS infrastructure.
Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
Design, build, and support secure, scalable, and highly available AWS environments.
Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
Lead infrastructure testing, performance tuning, and production readiness activities.
Drive deployment and operationalization of the platform in the Production environment.
Implement cloud governance, security, monitoring, and FinOps best practices.
Troubleshoot and resolve complex cloud infrastructure issues.

Required Skills & Experience




10+ years of IT experience with robust expertise in AWS Cloud Engineering.
Proven experience designing, deploying, and managing AWS production settings.
Solid hands-on experience with Terraform and Infrastructure-as-Code.
Experience with CI/CD pipeline automation and DevOps practices.
Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
Experience in performance optimization, reliability, and cloud cost management (FinOps).
Strong scripting and automation skills.
Experience integrating enterprise applications through APIs and secure connectivity patterns.

Preferred Skills
Experience supporting AI/GenAI, chatbot, or multi-agent platforms.
AWS Certifications (Associate/Professional).
Banking or Financial Services domain experience.

Skills:- Amazon Web Services (AWS), AWS Lambda, AWS CloudFormation, AWS IAM, Amazon EC2, Amazon S3, Terraform and Network

📌 Aws Cloud Engineer Bengaluru
🏢 VY SYSTEMS PRIVATE
📍 Bengaluru