Job Overview

Atos is hiring a Cloud Security Architect for its Mumbai location, with a focus on Google SecOps and AWS infrastructure security. This role is centered on designing secure, scalable, resilient, and well-governed cloud environments for enterprise requirements. The position combines cloud security architecture with modern AI-powered security capabilities, giving the successful candidate an opportunity to work across AWS infrastructure, security operations, automation, and Generative AI.

The architect will contribute to secure enterprise cloud foundations, architecture standards, governance models, security assessments, and technical documentation. The role also involves designing AI-assisted security solutions using Amazon Bedrock and Amazon Q, supporting threat detection and incident response, and helping organizations adopt Large Language Models securely.

Key Responsibilities

• Design secure AWS Landing Zones using AWS Well-Architected Framework principles and established security practices.
• Create High-Level Designs, Low-Level Designs, reference architectures, implementation guides, and operational documentation.
• Architect secure multi-account AWS environments using AWS Organizations and AWS Control Tower.
• Design cloud environments with strong availability, scalability, resilience, and security controls.
• Define strategies covering cloud governance, identity management, network security, encryption, and regulatory compliance.
• Perform architecture reviews, security assessments, and cloud security maturity evaluations.
• Design AI-powered security architectures using Amazon Bedrock and Amazon Q.
• Develop AI-assisted approaches for threat detection, security investigation, and incident response.
• Create security automation workflows that use AI capabilities to improve operational efficiency.
• Design Generative AI solutions that can assist SOC analysts and provide security knowledge support.
• Apply prompt engineering practices to security-focused AI use cases.
• Assess security risks associated with AI adoption and contribute to AI governance frameworks.
• Support secure enterprise adoption of Large Language Models and related AI technologies.

Required Skills

Candidates should have strong knowledge of cloud security architecture and the ability to design enterprise-grade AWS environments. The role requires an understanding of secure cloud foundations, multi-account architectures, governance, identity, networking, encryption, resilience, and compliance.

A strong architectural mindset is important because the position involves producing HLDs, LLDs, reference architectures, implementation guidance, and operational documentation. Candidates should also be comfortable reviewing existing architectures and identifying security, governance, scalability, and operational improvements.

The role has a significant AI security component. Applicants should understand how AI and Generative AI can be applied to security operations, including threat detection, investigation, incident response, automation, and SOC analyst support. Knowledge of prompt engineering, LLM security, and AI governance is relevant.

Preferred Skills

Experience with AWS Organizations and AWS Control Tower is valuable for candidates working with large or multi-account cloud environments. Familiarity with the AWS Well-Architected Framework and cloud security best practices is also highly relevant.

Candidates with exposure to Google SecOps, AI-assisted security operations, Amazon Bedrock, Amazon Q, Generative AI, and enterprise LLM adoption may be particularly well aligned with this position.

Experience conducting cloud security maturity assessments, architecture reviews, and security evaluations can strengthen an application. Candidates who have worked on secure AI adoption or AI governance initiatives should highlight those projects clearly.

Education

The supplied job description does not specify a particular educational qualification. Candidates should therefore present their relevant cloud security architecture experience, professional certifications, technical training, and practical project background accurately without assuming an education requirement that is not stated.

Experience

The job description does not specify a minimum or maximum number of years of experience. This is a specialized Cloud Security Architect position, so candidates should demonstrate relevant professional experience in cloud security architecture, AWS infrastructure, enterprise security, or related technical architecture areas.

Applicants should highlight projects involving AWS Landing Zones, multi-account cloud environments, security governance, identity, network protection, encryption, compliance, architecture reviews, or cloud security assessments where applicable.

Required Technologies

• Amazon Web Services (AWS)
• AWS Well-Architected Framework
• AWS Landing Zone
• AWS Organizations
• AWS Control Tower
• Amazon Bedrock
• Amazon Q
• Google SecOps
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering
• AI Security
• Cloud Security Architecture
• Cloud Governance
• Identity Security
• Network Security
• Encryption
• Security Automation
• Threat Detection
• Incident Response
• AI Governance
• High-Level Design (HLD)
• Low-Level Design (LLD)

Soft Skills

Strong analytical and architectural thinking is important for this role because cloud security decisions can affect security, resilience, compliance, and operational outcomes across enterprise environments.

Clear technical communication is also valuable. A Cloud Security Architect must be able to document architecture decisions, explain security risks, present design recommendations, and work with different technical and business stakeholders.

A continuous-learning mindset is particularly useful because cloud security, AI security, Generative AI, and security operations technologies continue to evolve. Candidates should be comfortable evaluating new technologies while maintaining strong security and governance principles.

Benefits of Working in this Role

This role provides exposure to advanced cloud security architecture and AI-powered security engineering. Professionals can work across AWS infrastructure security, cloud governance, enterprise architecture, AI security, security automation, and LLM adoption.

The combination of cloud security and Generative AI can also help experienced security professionals develop skills relevant to modern cybersecurity architecture, AI governance, intelligent SOC operations, and secure enterprise AI adoption. The supplied job description does not specify salary, bonuses, insurance, or other company-specific employee benefits, so those details should not be assumed.

Work Mode

The supplied job description does not explicitly state whether the position is onsite, hybrid, or remote. The job is listed in Mumbai, India. Candidates should confirm the applicable work arrangement with Atos during the hiring process.

Location

This Cloud Security Architect opportunity is based in Mumbai, Maharashtra, India. The role is associated with Atos and focuses on secure digital services, cloud transformation, cybersecurity, and AI-powered technology solutions.

Who Should Apply

This position is suitable for experienced Cloud Security Architects, AWS Security Architects, Cloud Architects, Cybersecurity Architects, and security professionals with strong cloud architecture capabilities.

Candidates should consider applying if they have practical experience designing secure AWS environments, creating architecture documentation, implementing cloud governance, assessing security maturity, or supporting enterprise security transformations.

Professionals with experience combining AWS security with AI, Generative AI, LLMs, security automation, or intelligent security operations should emphasize those capabilities on their resumes.

Career Growth

Experience in this position can support progression toward Principal Cloud Security Architect, Enterprise Security Architect, Cloud Security Lead, AI Security Architect, Cybersecurity Consultant, or broader security architecture leadership roles.

Working across AWS architecture, cloud governance, AI security, and enterprise LLM adoption can also help professionals develop a specialized profile in emerging cloud and AI security disciplines.

Application Advice

Tailor your resume to demonstrate real cloud security architecture outcomes. Highlight AWS Landing Zone design, AWS Organizations, Control Tower, Well-Architected Framework experience, security governance, identity, network security, encryption, compliance, and architecture review work where applicable.

If you have worked with Google SecOps, Amazon Bedrock, Amazon Q, Generative AI, LLMs, prompt engineering, AI governance, or AI-assisted security operations, make those projects clearly visible. Include concise examples showing the problem addressed, architecture designed, security considerations, and resulting improvement.

Avoid listing technologies without evidence of practical use. Focus on architecture ownership, security decision-making, technical documentation, and enterprise-scale cloud or AI security projects.