Hyperscalar Cybersecurity Engineer

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

Benefits offered by this job

Paid time off

Medical, dental, and vision

401(k) retirement plan

Life and disability insurance

Job summary

Capgemini’s Financial Services AI-native product organization seeks a Hyperscalar Cybersecurity Engineer to secure cloud, Kubernetes, and AI platforms in regulated environments while designing and automating security controls to strengthen the software and model supply chain and ensure operational security readiness.

This onsite Atlanta role emphasizes protecting agentic AI systems, implementing least-privilege access, and integrating security across CI/CD pipelines, audits, and client reviews.

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 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, including identities, networks, secrets, and containers.
• Protect agentic AI systems using 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

IAM security

Kubernetes security

cryptography

key management

Infrastructure-as-Code

Python

Go

AI/LLM security

supply chain security

cloud-native architectures

regulated industries

Tools

AWS

Azure

GCP

Kubernetes

SBOMs

CI/CD

Job description

Capgemini’s Financial Services AI-native product organization is seeking a Hyperscalar Cybersecurity Engineer to help secure cloud, Kubernetes, and AI platforms that operate in regulated environments. The role emphasizes designing and automating security controls, protecting agentic AI systems, strengthening software and model supply chain assurance, and maintaining operational security readiness.

Location

Atlanta, GA (onsite)

Salary

USD 75,716 - 130,762 per year

Experience

7+ years of cybersecurity engineering experience

Responsibilities

• Design and implement cloud security controls across AWS, Azure, GCP, and on-prem environments.
• Secure Kubernetes workloads, including identities, networks, secrets, and containers.
• Protect agentic AI systems using 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.

Requirements

• 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 in regulated industries, preferably Financial Services or Insurance.

Technologies

AWS, Azure, GCP, Kubernetes, Python, Go, IAM, Infrastructure-as-Code, cryptography, key management, CI/CD, SBOMs

Preferred Qualifications

• Experience with OWASP LLM Top 10, AI threat modeling, and agent security.
• Hands-on experience with SLSA, SBOMs, artifact signing, and red-team activities.
• Experience supporting bank or insurer security reviews.
• Familiarity with multi-tenant, sovereign, or air-gapped deployments.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days depending on grade; Company paid holidays; Personal Days; Sick Leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.