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)

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.

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.

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 workplace.

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.

Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy. #J-18808-Ljbffr

📌 Senior AWS Cloud & Platform Developer – GenAI / Mainframe Modernization (Bedrock / CDK) (Winnipeg)
🏢 S.i. Systems
📍 Winnipeg