Senior Cloud Security Engineer - AI, Kubernetes & SBOM

Capgemini; Atlanta (GA); On-site; USD 76,000 - 131,000; Full time

Benefits offered by this job

Paid time off

Health coverage (medical, dental, and视

401(k) retirement plan

Job summary

Capgemini's AI-native product team focuses on securing cloud, Kubernetes, and AI platforms in regulated environments. You will design security controls across AWS/Azure/GCP and on-prem, secure Kubernetes workloads, and protect AI systems with least-privilege access and guardrails.

You will also manage software supply chain security, automate CI/CD security tests, and lead monitoring, incident response, and audit readiness for clients in regulated industries.

Qualifications

• 7+ years of cybersecurity engineering experience in AWS, Azure, or GCP.
• Strong expertise in IAM, Kubernetes security, cryptography, key management, and Infrastructure-as-Code.
• Experience with security automation using Python or Go.
• Knowledge of AI/LLM security, supply chain security, and cloud-native architectures.
• Experience working in regulated industries, preferably Financial Services or Insurance.

Responsibilities

• Design and implement cloud security controls across AWS, Azure, GCP, and on-prem environments.
• Secure Kubernetes workloads, identities, networks, secrets, and containers.
• Protect agentic AI systems through least-privilege access, guardrails, tool authorization, and egress controls.
• Manage software and model supply chain security, including SBOMs, signing, and provenance.
• Automate security testing and compliance controls within CI/CD pipelines.
• Own monitoring, detection, incident response, and security audit readiness.
• Support client security reviews, penetration testing remediation, and regulatory requirements.

Skills

Cloud security

Kubernetes security

IAM

Security automation

Python

Go

Regulated environments

Tools

AWS

Azure

GCP

Kubernetes

CI/CD pipelines

SBOMs

Job description

Capgemini's AI-native product team focuses on securing cloud, Kubernetes, and AI platforms in regulated environments. You will design security controls across AWS/Azure/GCP and on-prem, secure Kubernetes workloads, and protect AI systems with least-privilege access and guardrails.

You will also manage software supply chain security, automate CI/CD security tests, and lead monitoring, incident response, and audit readiness for clients in regulated industries.