Senior DevSecOps, AI Security & Machine Identity Engineer

Largeton Group is seeking a Senior DevSecOps, AI Security & Machine Identity Engineer to lead secure deployment and governance of machine identities while enabling AI frameworks. The role focuses on architecting secure cloud infrastructure and establishing operational controls to enhance security posture across enterprise systems.

Responsibilities:

• Architect, deploy, and automate secure cloud infrastructure across AWS, Azure, and GCP using Terraform, Kubernetes, CI/CD pipelines, and Infrastructure as Code
• Build operational DevSecOps workflows that integrate machine identity governance, secrets management, and cloud security into enterprise delivery pipelines
• Strengthen enterprise security posture through automation, monitoring, and scalable controls across cloud and application ecosystems
• Lead implementation and operational maturity of Client s non-human identity and machine credential governance capabilities
• Build and manage lifecycle processes for service accounts, API keys, OAuth tokens, secrets, and AI agent credentials, including provisioning, rotation, monitoring, and decommissioning
• Identify security gaps, orphaned credentials, and unmanaged machine identities while driving remediation through engineering-led solutions
• Support integrations across Vault, CyberArk, AWS Secrets Manager, Azure Key Vault, identity providers, and enterprise SaaS tools
• Collaborate with AI, Cloud, and Security teams to securely enable enterprise AI/ML and agentic AI frameworks
• Develop governance frameworks and operational controls that support AI adoption while protecting enterprise systems
• Implement scalable security patterns for AI agents, automation platforms, and emerging machine-to-machine ecosystems
• Help establish AI security standards, operational runbooks, and automation-first governance practices
• Act as the technical connector across DevOps, Identity, Cloud, Cybersecurity, and Enterprise Applications
• Translate security policies into practical engineering solutions and automated controls
• Deliver dashboards, metrics, and reporting that improve visibility into machine identity risk, AI governance posture, and operational maturity

Requirements:

• 5+ years of hands-on experience in DevOps, DevSecOps, Cloud Security, Infrastructure Engineering, Identity, or Security Engineering
• Strong expertise with Terraform, Kubernetes, CI/CD, Infrastructure as Code, and cloud-native automation
• Experience with AWS, Azure, or GCP and strong understanding of cloud identity and machine credential models
• Hands-on experience with HashiCorp Vault, CyberArk, AWS Secrets Manager, Azure Key Vault, or similar secrets platforms
• Familiarity with OAuth, OIDC, SAML, API security, and service identity lifecycle management
• Experience deploying and operationalizing enterprise security or identity platforms
• Exposure to AI/ML systems, AI adoption strategies, or securing modern AI frameworks
• Strong communication and ability to lead across technical and business teams
• Experience with NHI governance platforms such as Entro, Astrix, Elimity, or related solutions
• Background in AI governance, machine-to-machine security, or agentic AI frameworks
• Security certifications such as CISSP, CCSP, or cloud security credentials
• Experience in highly regulated or enterprise-scale environments