Senior Security Engineer, Platforms & AI

Spinwheel is a rapidly scaling, remote-first company investing in platform security, AI safety, and operational resilience. The Senior Security Engineer will own the technical security posture of the platform, infrastructure, and AI-driven systems by hardening production environments, remediating vulnerabilities, building AI security guardrails, and strengthening monitoring and incident response.

Responsibilities:

• Secure and harden cloud infrastructure, applications, APIs, internal systems, and operational workflows
• Implement and maintain security controls across production environments, CI/CD pipelines, cloud infrastructure, and internal tooling
• Work directly with engineering teams to remediate vulnerabilities and improve secure development practices
• Ensure encryption, secrets management, logging, monitoring, and access controls are properly implemented and continuously maintained
• Design and improve security architecture across cloud-native and distributed systems
• Build scalable security processes that integrate directly into engineering and operational workflows
• Continuously identify, assess, prioritize, and remediate security vulnerabilities across infrastructure, applications, APIs, and operational systems
• Proactively search for weaknesses through vulnerability scanning, penetration testing, adversarial testing, threat modeling, and manual security reviews
• Coordinate remediation efforts across engineering and operations teams, and validate fixes to ensure long-term mitigation
• Improve detection and prevention capabilities for emerging threats
• Help establish a culture of continuous security improvement and operational accountability
• Secure AI-driven systems and automated agents against prompt injection, adversarial inputs, unauthorized or unintended actions, unsafe outputs, and data leakage
• Design and implement guardrails and validation layers for AI-generated actions
• Ensure AI systems safely handle untrusted inputs from IVRs, web systems, APIs, and human interactions
• Monitor AI system behavior for anomalies, abuse attempts, or unsafe decision-making
• Partner with engineering teams to ensure AI systems are observable, auditable, bounded, and fail safely
• Help define operational and technical controls for responsible AI deployment
• Improve and maintain security monitoring, alerting, logging, and incident response capabilities
• Investigate suspicious activity, anomalies, and potential security incidents
• Lead or support incident response efforts, root cause analysis, and remediation planning
• Ensure operational visibility into system health, access patterns, and security events
• Recommend and implement preventative measures following incidents or security discoveries

Requirements:

• 7+ years of hands-on experience in security engineering, infrastructure security, application security, DevSecOps, or offensive security
• Exceptional knowledge of the AWS ecosystem
• Demonstrated experience identifying and remediating vulnerabilities in live production systems
• Self-starter mindset: able to drive projects, make decisions, and prioritize ruthlessly in a fast-moving environment
• Strong communication skills, with the ability to explain technical security issues clearly to engineering stakeholders
• Experience securing AI/LLM-powered systems or automated agents
• Familiarity with prompt injection attacks, adversarial AI techniques, AI guardrails, and behavioral anomaly detection
• Experience with cloud security tooling, SIEM and observability platforms, penetration testing tools, endpoint security platforms, and infrastructure-as-code security
• Prior experience in high-growth startup, fintech, banking, or payments environments
• Certifications such as CISSP, CISM, AWS Security Specialty, or similar