Data Engineer (Platform)

R Systems; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

R Systems Europe SRL in Singapore is seeking an experienced AWS Platform Engineer to design, deploy, and manage scalable cloud infrastructure for Bedrock and AgentCore workloads.

You will implement IaC, build CI/CD pipelines, and collaborate with security, DevOps, and application teams to deliver secure, observable, and cost-efficient platform services across AWS.

Qualifications

• Extensive hands-on experience with AWS cloud infrastructure and platform engineering.
• Solid understanding of AWS architecture: compute, storage, networking, security, identity, and observability.
• Experience with Bedrock platform configuration and AgentCore runtime deployment.
• Knowledge of IAM roles, least-privilege access, VPC networking, security groups, endpoints, and secrets management.
• Proficiency with IaC tools Terraform, CloudFormation, or AWS CDK.
• Experience with CI/CD pipelines and automated deployments.
• Familiarity with containers and serverless technologies including ECS/EKS and AWS Lambda.
• Experience with monitoring, logging, and production support.
• Understanding of enterprise cloud platform design, including security and cost management.

Responsibilities

• Design, configure, and manage AWS components to support Bedrock and AgentCore workloads.
• Establish scalable, secure cloud infrastructure for AI agent applications.
• Work with IAM, VPC, networking, Lambda, ECS/EKS, CloudWatch, S3, and other platform services.
• Configure Bedrock and AgentCore capabilities from platform perspective.
• Implement platform security, IAM and secrets management, and network controls.
• Enable agent deployment, runtime management, environment configuration, connectivity, and support.
• Build Infrastructure as Code using Terraform, CloudFormation, or CDK.
• Implement CI/CD and automated deployment processes for platform components.
• Establish monitoring, logging, tracing, alerting, troubleshooting in production.
• Optimize performance, scalability, availability, reliability and cost.
• Collaborate with AI developers, architects, security, and DevOps to provide reusable platform components.
• Troubleshoot infrastructure, permissions, networking, runtime, integration, and deployment issues across AWS.
• Define platform standards, templates, guardrails, and best practices.

Skills

AWS cloud infra

Platform engineering

IAM & security

VPC networking

Terraform

CloudFormation

AWS CDK

CI/CD pipelines

Container orchestration

Tools

Terraform

CloudFormation

AWS CDK

ECS/EKS

Docker

AWS Lambda

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.