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Cloud Security Architect – Google SecOps, AWS Infrastructure
AtosCloud Security Architect designing secure AWS environments and AI-powered security architectures for Atos, a global digital transformation services provider. Developing cloud governance, threat detection, automation, and LLM security solutions.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 ZonesCloud Security Architecture DesignAI-Assisted Threat DetectionAmazon BedrockPrompt Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS Well-Architected FrameworkAWS OrganizationsAWS Control TowerCloud GovernanceNetwork SecurityEncryption StrategiesSecurity AssessmentsAI Security Risk EvaluationGenAI-Powered SolutionsAI Governance Frameworks
Tools & Technologies
Amazon QAI-Enabled Security AutomationLarge Language Models
Industry Keywords
Cloud SecuritySecurity Best PracticesIncident ResponseSecurity Maturity Evaluations
Tech Stack
Tools & technologiesAWSCloud
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- Diversity and inclusion embedded in Atos’s DNA
- Commitment to a fair work environment
- ESG and CSR commitment