Hyperscalar Cybersecurity Engineer

Capgemini Financial Services is expanding its AI-native product organization with a Hyperscalar Cybersecurity Engineer focused on securing cloud, Kubernetes, and AI platforms that operate in regulated environments. The work centers on designing and automating security controls across cloud infrastructure while strengthening defenses for agentic AI systems, software and model supply chains, and day-to-day operational security readiness.

This onsite role is based in Atlanta, GA. Compensation ranges from USD 75,716 to 130,762 per year, with a minimum of 7 years of relevant 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 applicable 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 working 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

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.

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.