Job Description
Share each candidate’s response in body of email along with co-pilot screening. This will be shared to panel; post review screening feedback shall be given.
Q. Can you tell me about your role as an infrastructure architect in your previous projects?
Q. What were the architecture challenges observed in your last project and how did you overcome them?
Q. Which specific frameworks have you recently worked on? What is your experience with ______ architecture?
Q. Explain your last migration journey. Please highlight your key strengths and mention your stakeholder engagement journey.
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Rates - Open
Location - Chennai
Exp - 8+ years
Cloud AWS 3 positions
Cloud Azure 2 positions
Cloud Architect
The Cloud Architect is responsible for designing, building, and operating secure, scalable, and reliable cloud platforms on either Amazon Web Services (AWS) or Microsoft Azure. This role focuses on IaaS and PaaS services, cloud networking, automation, and operational excellence, partnering closely with application, platform, and security teams to modernize workloads and enable secure cloud adoption.
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Key Responsibilities
• Design and architect highly available, resilient cloud solutions on either AWS or Azure, defining and enforcing cloud reference architectures, standards, and best practices.
• Manage and operate IaaS and PaaS platforms, ensuring availability, scalability, security hardening, patching, and cost efficiency.
• Lead and support cloud migration initiatives including re-hosting, re-platforming, and refactoring of on-premises workloads.
• Continuously improve cloud security posture, reliability, performance, and operational maturity.
• Design, implement, and manage secure cloud networking including VPC/VNet architecture, routing, VPNs, private endpoints, and network segmentation.
• Patching and lifecycle management for cloud infrastructure and platform services aligned with security baselines and operational standards.
• Develop and maintain Infrastructure as Code (IaC) using Terraform, ARM/Bicep (Azure), or CloudFormation (AWS).
• Support CI/CD pipelines, cloud monitoring, logging, alerting, and governance frameworks.
• Design and operate cloud sandbox environments to enable safe development and experimentation while enforcing security guardrails and cost controls.
• Create and maintain architecture diagrams, technical documentation, and implementation guidance for engineering and platform teams.
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Nice to Have – AI & ML
• Exposure to AI/ML workloads running on cloud platforms, including model hosting or inference.
• Familiarity with cloud AI services such as Azure OpenAI, Azure ML, AWS Bedrock, or Amazon SageMaker.
• Experience supporting AI/ML developer or experimentation environments (Dev/Test or sandbox platforms).
• Awareness of operational considerations for AI/ML platforms, including cost controls, data security, and governance.
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Experience: 8-10 Years .
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