Senior AWS Cloud Architect with GenAI Expertise

6 days ago

Anand, Gujarat, India beBeeCloudEngineer Full time ₹ 15,00,000 - ₹ 22,50,000

Transform your skills in cloud infrastructure and automation to become a seasoned AWS engineer with expertise in GenAI.

Are you ready to propel your career forward in the rapidly evolving landscape of cloud computing? Look no further than this exciting opportunity as an AWS Engineer with GenAI. In this pivotal role, you will be responsible for overseeing the end-to-end deployment, configuration, and reliability of AWS-based product demo environments, incorporating GenAI pipelines and engineering practices.

This position demands a deep understanding of cloud infrastructure skills, including ECS, Lambda, RDS, S3, and automation using Terraform. You will work closely with cross-functional teams to integrate GenAI solutions, architect, provision, and maintain AWS demo environments, and implement custom flows.

The ideal candidate will possess a minimum of 5 years' experience in AWS engineering, with strong proficiency in C#, Java, or Python development. Additionally, expertise in Terraform for AWS Infrastructure as Code (IaC) and experience with GenAI or ML services are highly desirable.

Becoming an AWS Engineer with GenAI offers you the chance to develop a broad range of skills, from designing and deploying cloud-based architectures to collaborating with various stakeholders to drive project success. If you're passionate about staying ahead of the curve in cloud computing and eager to contribute to innovative projects, this role is perfect for you.

  • Key Responsibilities:
  • Architect, provision, and maintain AWS demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
  • Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning.
  • Integrate AWS GenAI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment.
  • Collaborate with Demo COE and Product SMEs to evaluate scenarios, and implement custom flows.
  • Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig.
  • Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray).
  • Support automated QA gates, metrics capture, and post-demo knowledge management.
  • Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming
  • Contribute to hybrid cloud demos and integrations with Azure as needed.
Qualifications:
  • Minimum 5 years' AWS engineering experience, with strong C# or Java or Python development.
  • Terraform expertise for AWS IaC.
  • Experience with GenAI or ML services (Bedrock, SageMaker, Lambda).
  • Professional certification in AWS is preferred.

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