Cloud Security Architect – Google SecOps, AWS Infrastructure

Jobtailor; Mumbai; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Jobtailor is seeking a seasoned Cloud Security Architect to design and implement secure AWS environments for enterprise clients in Mumbai, India.

The role focuses on building scalable, compliant architectures, AWS multi-account strategies with Organizations and Control Tower, and integrating AI-powered security solutions including Bedrock and GenAI for threat detection and automation. Strong governance and risk assessment experience is essential.

Qualifications

• Demonstrates expertise in designing secure AWS environments.
• Experience with cloud governance and compliance strategies.
• Proficient in security assessments and maturity evaluations.
• Experience with AI-powered security solutions.

Responsibilities

• Design secure enterprise AWS Landing Zones aligned with Well-Architected Framework and security best practices.
• Develop HLDs, LLDs, reference architectures, implementation guides, and operational documentation.
• Architect secure multi-account AWS environments using AWS Organizations and AWS Control Tower.
• Design highly available, scalable, and resilient cloud security architectures.
• Define cloud governance, identity, network security, encryption, and compliance strategies.
• Conduct architecture reviews, security assessments, and cloud security maturity evaluations.
• Design AI-powered security architectures using Amazon Bedrock and Amazon Q.
• Implement AI-assisted threat detection, investigation, and incident response capabilities.
• Build AI-enabled security automation workflows.
• Develop GenAI-powered SOC analyst assistance and security knowledge solutions.
• Implement Prompt Engineering best practices for security use cases.
• Evaluate AI security risks and establish AI governance frameworks.
• Support secure adoption of Large Language Models (LLMs) within enterprise environments.

Skills

AWS Landing Zones

Cloud Security Architecture Design

AI-Assisted Threat Detection

GenAI-Powered Solutions

Prompt Engineering

Tools

AWS Well-Architected Framework

AWS Organizations

AWS Control Tower

AI-Enabled Security Automation

Large Language Models

Job description

• Design secure enterprise AWS Landing Zones aligned with the AWS Well-Architected Framework and Security Best Practices
• Develop High-Level Designs (HLD), Low-Level Designs (LLD), reference architectures, implementation guides, and operational documentation
• Architect secure multi-account AWS environments using AWS Organizations and AWS Control Tower
• Design highly available, scalable, and resilient cloud security architectures
• Define cloud governance, identity, network security, encryption, and compliance strategies
• Conduct architecture reviews, security assessments, and cloud security maturity evaluations
• Design AI-powered security architectures using Amazon Bedrock and Amazon Q
• Implement AI-assisted threat detection, investigation, and incident response capabilities
• Build AI-enabled security automation workflows
• Develop GenAI-powered SOC analyst assistance and security knowledge solutions
• Implement Prompt Engineering best practices for security use cases
• Evaluate AI security risks and establish AI governance frameworks
• Support secure adoption of Large Language Models (LLMs) within enterprise environments

Requirements

• Secure enterprise AWS Landing Zones aligned with AWS Well-Architected Framework and Security Best Practices
• AWS Organizations and AWS Control Tower
• Cloud governance, identity, network security, encryption, and compliance strategies
• Cloud security architecture design, reviews, assessments, and maturity evaluations
• Amazon Bedrock and Amazon Q
• AI-assisted threat detection, investigation, and incident response
• AI-enabled security automation workflows
• GenAI-powered SOC analyst assistance and security knowledge solutions
• Prompt Engineering for security use cases
• AI security risk evaluation and AI governance frameworks
• Secure adoption of Large Language Models (LLMs) in enterprise environments

Core Competencies

Demonstrates expertise in designing secure AWS environments, implementing cloud governance, and developing AI-powered security solutions. Proficient in conducting security assessments and establishing compliance strategies within enterprise settings.

Highest-signal resume keywords

• AWS Landing Zones
• Cloud Security Architecture Design
• AI-Assisted Threat Detection
• Amazon Bedrock
• Prompt Engineering

ATS Optimization Keywords

Hard Skills

• AWS Well-Architected Framework
• AWS Organizations
• AWS Control Tower
• Cloud Governance
• Network Security
• Encryption Strategies
• Security Assessments
• AI Security Risk Evaluation
• GenAI-Powered Solutions
• AI Governance Frameworks

Industry Keywords

• Cloud Security
• Security Best Practices
• Incident Response
• Security Maturity Evaluations

Tools & Technologies

• Amazon Q
• AI-Enabled Security Automation
• Large Language Models