AWS Cloud Architect

Tata Consultancy Services Limited; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Tata Consultancy Services Limited in Singapore is seeking an experienced AWS Architect to lead large-scale cloud initiatives. You will design highly available, multi-Region architectures and disaster-recovery solutions, with deep knowledge of AWS networking, compute, containers, databases, storage, security and monitoring.

You will also guide offshore teams, implement infrastructure as code with Terraform or CloudFormation, drive CI/CD and DevSecOps, and champion observability and automation

Qualifications

• Strong hands-on experience in AWS architecture and engineering.
• Proven experience designing highly available, multi-Region and disaster-recovery solutions on AWS.
• Deep knowledge of AWS networking, compute, containers, databases, storage, security and monitoring services.
• Experience with Kubernetes, containers, microservices and event-driven architectures.
• Practical experience with Terraform, AWS CloudFormation or another infrastructure-as-code platform.
• Experience with CI/CD, DevSecOps, observability and operational automation.

Skills

AWS architecture

Disaster recovery design

Multi-Region design

AWS networking

Kubernetes

Terraform

CloudFormation

CI/CD & DevSecOps

Tools

Terraform

AWS CloudFormation

CI/CD pipelines

Observability tools

Job description

• Strong hands-on experience in AWS architecture and engineering.
• Proven experience designing highly available, multi-Region and disaster-recovery solutions on AWS.
• Deep knowledge of AWS networking, compute, containers, databases, storage, security and monitoring services.
• Experience with database resilience, replication, backup, failover and data-consistency patterns.
• Experience with Kubernetes, containers, microservices and event-driven architectures.
• Practical experience with Terraform, AWS CloudFormation or another infrastructure-as-code platform.
• Experience with CI/CD, DevSecOps, observability and operational automation.
• Experience leading offshore or geographically distributed engineering teams.
• Demonstrated ability to lead complex initiatives independently from assessment through implementation.
• Desirable: Working knowledge of Generative AI and Agentic AI architecture, including LLMs, RAG, vector databases, agent orchestration, guardrails and AI evaluation