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Open nowPosted today

Data Engineer (Platform)

R SYSTEMS CONSULTING SERVICES LIMITED

Pay
SGD 6,000 – SGD 8,000 a month
Where
Central, Singapore
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Your applicationOpen nowData Engineer (Platform)R SYSTEMS CONSULTING SERVICES LIMITED · Central, Singapore

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted today

The posting

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.

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