Data Engineer (Platform)

R SYSTEMS (SINGAPORE) PTE LIMITED; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

R SYSTEMS (SINGAPORE) PTE LIMITED is seeking a seasoned AWS platform engineer to design, configure, and manage platform components supporting Bedrock and AgentCore workloads. You will build scalable, secure cloud infrastructure and collaborate with architects, security, and DevOps teams to deliver reusable platform capabilities.

The role requires hands-on experience with AWS, IAM, VPC, and serverless/container technologies, plus IaC expertise using Terraform, CloudFormation, or AWS CDK.

Qualifications

• Strong hands-on experience with AWS cloud infrastructure and platform engineering.
• Good understanding of AWS architecture, including compute, storage, networking, security, identity, and observability.
• Working knowledge of Amazon Bedrock, including its platform configuration, access management, service integration, and operational considerations.
• Hands-on knowledge of Amazon Bedrock AgentCore, particularly runtime deployment, identity, gateway, observability, and related platform capabilities.
• Strong understanding of IAM roles and policies, least-privilege access, VPC networking, security groups, endpoints, and secrets management.
• Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or AWS CDK.
• Experience with CI/CD pipelines, automated deployments, and environment management.
• Knowledge of containers and serverless technologies, such as Docker, ECS/EKS, and AWS Lambda.
• Experience with platform monitoring, logging, troubleshooting, and production support.
• Understanding of enterprise cloud platform design, including security, governance, scalability, reliability, and cost management.

Responsibilities

• Design, configure, and manage AWS platform components required to support Amazon Bedrock and AgentCore workloads.
• Establish and maintain scalable, secure, and reliable cloud infrastructure for AI agent applications.
• Work with AWS services such as IAM, VPC, networking, AWS Lambda, Amazon ECS/EKS, CloudWatch, S3, and other relevant platform services.
• Configure and manage Amazon Bedrock and AgentCore capabilities from a platform and infrastructure perspective.
• Implement platform-level security, identity and access management, authentication, authorization, secrets management, and network controls.
• Enable agent deployment, runtime management, environment configuration, connectivity, and operational support.
• Build and maintain Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
• Implement CI/CD pipelines and automated deployment processes for platform components and agent-based applications.
• Establish monitoring, logging, tracing, alerting, troubleshooting, and operational practices for production workloads.
• Optimize platform performance, scalability, availability, reliability, and cost.
• Collaborate with AI application developers, solution architects, security teams, and DevOps engineers to provide reusable platform capabilities and deployment standards.
• Troubleshoot infrastructure, permissions, networking, runtime, integration, and deployment issues across AWS environments.
• Define platform standards, reusable templates, guardrails, and best practices for teams developing AI-powered applications.

Skills

AWS infrastructure

Platform engineering

IAM

Networking

VPC

Terraform

CloudFormation

AWS CDK

CI/CD pipelines

Docker

ECS/EKS

AWS Lambda

Bedrock

AgentCore

Observability

Security

Tools

Terraform

CloudFormation

AWS CDK

Docker

ECS

EKS

AWS Lambda

S3

CloudWatch

Job description

Key Responsibilities

• Design, configure, and manage AWS platform components required to support Amazon Bedrock and AgentCore workloads.
• Establish and maintain scalable, secure, and reliable cloud infrastructure for AI agent applications.
• Work with AWS services such as IAM, VPC, networking, AWS Lambda, Amazon ECS/EKS, CloudWatch, S3, and other relevant platform services.
• Configure and manage Amazon Bedrock and AgentCore capabilities from a platform and infrastructure perspective.
• Implement platform-level security, identity and access management, authentication, authorization, secrets management, and network controls.
• Enable agent deployment, runtime management, environment configuration, connectivity, and operational support.
• Build and maintain Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK.
• Implement CI/CD pipelines and automated deployment processes for platform components and agent-based applications.
• Establish monitoring, logging, tracing, alerting, troubleshooting, and operational practices for production workloads.
• Optimize platform performance, scalability, availability, reliability, and cost.
• Collaborate with AI application developers, solution architects, security teams, and DevOps engineers to provide reusable platform capabilities and deployment standards.
• Troubleshoot infrastructure, permissions, networking, runtime, integration, and deployment issues across AWS environments.
• Define platform standards, reusable templates, guardrails, and best practices for teams developing AI-powered applications.

Required Skills and Experience

• Strong hands-on experience with AWS cloud infrastructure and platform engineering.
• Good understanding of AWS architecture, including compute, storage, networking, security, identity, and observability.
• Working knowledge of Amazon Bedrock, including its platform configuration, access management, service integration, and operational considerations.
• Hands-on knowledge of Amazon Bedrock AgentCore, particularly runtime deployment, identity, gateway, observability, and related platform capabilities.
• Strong understanding of IAM roles and policies, least-privilege access, VPC networking, security groups, endpoints, and secrets management.
• Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or AWS CDK.
• Experience with CI/CD pipelines, automated deployments, and environment management.
• Knowledge of containers and serverless technologies, such as Docker, ECS/EKS, and AWS Lambda.
• Experience with platform monitoring, logging, troubleshooting, and production support.
• Understanding of enterprise cloud platform design, including security, governance, scalability, reliability, and cost management.