Description

Requirements

7 or more years of experience in cloud platform engineering and AWS cloud-native architectures.

Proficiency in Python programming and deploying scalable backend enterprise services.

Experience with production generative AI platforms including AWS Bedrock and OpenAI APIs.

Experience in implementing Infrastructure-as-Code utilizing Terraform, AWS CDK, and CloudFormation.

Experience with agentic AI frameworks such as AWS AgentCore, LangGraph, and CrewAI.

Experience in configuring LLMOps, vector databases, and Retrieval-Augmented Generation architectures.

Excellent verbal and written communication skills.

Responsibilities

Architect and deploy robust cloud-native enterprise platforms utilizing advanced AWS services.

Engineer and integrate production-grade generative AI models into scalable backend systems.

Automate continuous integration and continuous deployment pipelines to accelerate software delivery.

Provision scalable cloud infrastructures utilizing programmatic Infrastructure-as-Code methodologies.

Construct sophisticated agentic AI workflows and complex data platforms to support intelligent applications.

Establish comprehensive LLMOps deployment strategies to streamline machine learning lifecycle management.

Implement advanced system observability solutions utilizing Datadog and OpenTelemetry frameworks

Key Skills

Education

Any Gradute