Senior AWS Cloud & Platform Developer – GenAI / Mainframe Modernization (Bedrock / CDK)

Senior AWS Cloud & Platform Developer – GenAI / Mainframe Modernization (Bedrock / CDK)

Duration: 3 Months (Likely to extend)

Location: Toronto (Hybrid, 2x/week)

Overview:

We are seeking a Senior AWS GenAI & Platform Developer to support a large-scale mainframe modernization initiative. This role will be responsible for developing and deploying a Generative AI solution within the AWS ecosystem, while also building the supporting cloud platform and infrastructure required to run it.

The ideal candidate will bring a strong combination of AWS application development, platform engineering, infrastructure-as-code, containerization, and hands-on GenAI/RAG implementation experience.

Responsibilities

• Design, build, and deploy Generative AI solutions within the AWS cloud ecosystem.
• Develop a RAG-based GenAI solution that monitors API failures, processes CloudWatch logs, and leverages an LLM to provide root-cause analysis and recommended remediation.
• Build and deploy AWS infrastructure and platform components using AWS CDK.
• Develop and integrate solutions using AWS services including Bedrock, Lambda, ECS, Fargate, ECR, RDS, S3 and CloudWatch.
• Implement and support vector-based retrieval capabilities for GenAI/RAG use cases.
• Configure and integrate Bedrock Knowledge Bases and related GenAI services.
• Build, modify, package, and deploy Docker images to Amazon ECR for use with ECS and Fargate.
• Configure and support application networking components including Application Load Balancers (ALB) and Network Load Balancers (NLB).
• Integrate application, infrastructure, logging, and GenAI components into scalable AWS-based solutions.
• Troubleshoot application and platform issues across the AWS environment.
• Work closely with engineering, cloud, platform, SRE, and modernization teams to support delivery of the solution.

Must Haves

• Strong hands-on AWS cloud development and platform engineering experience.
• Hands-on experience developing Generative AI solutions using AWS Bedrock.
• Experience designing or implementing RAG pipelines and integrating LLMs into enterprise applications.
• Strong experience with AWS CDK for infrastructure-as-code and cloud platform deployment.
• Hands-on experience with AWS Lambda, ECS, Fargate and ECR.
• Strong Docker/containerization experience, including building and modifying container images.
• Experience working with CloudWatch logs and AWS observability services.
• Experience with RDS and/or vector database/vector store technologies supporting GenAI retrieval use cases.
• Experience with S3 and AWS-native application integrations.
• Experience configuring or integrating ALB and NLB.
• Strong software development background with the ability to work across both application development and cloud platform engineering.
• Experience building and integrating APIs within cloud-based environments.

Nice to Haves

• Experience with Amazon Bedrock Knowledge Bases.
• Exposure to Amazon Bedrock AgentCore.
• Experience building GenAI solutions focused on application monitoring, incident analysis, root-cause analysis, or automated remediation.
• Experience working within SRE, DevSecOps, cloud engineering, or platform engineering environments.
• Previous experience supporting mainframe modernization or large-scale application modernization initiatives.
• Experience working within a large, complex or regulated enterprise environment.