Hyperscalar Cybersecurity Engineer

Capgemini • Atlanta, GA

4d • $75,716 - $130,762

About The Position

Join Capgemini Financial Services' AI-native product organization to secure cloud, Kubernetes, and AI platforms operating in regulated environments. The role focuses on designing and implementing security controls across cloud and on-premises environments, protecting Kubernetes workloads and agentic AI systems, securing software and model supply chains, and embedding automated security testing and compliance in CI/CD pipelines. The engineer also owns monitoring, detection, incident response, and audit readiness, and supports client security reviews, penetration-testing remediation, and regulatory requirements.

Capgemini describes itself as a global business and technology transformation partner. It has 340,000 team members in more than 50 countries. The posted base compensation range is $75,716–$130,762. Regular full-time employees may receive a benefits package that includes paid time off, holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• At least 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.

Nice To Haves

• 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.

Responsibilities

• Design and implement cloud security controls across AWS, Azure, GCP, and on-premises 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.

Benefits

• Paid time off: 12–25 vacation days depending on employee grade, plus company-paid holidays, personal days, and sick leave, according to policy.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed