Security Engineer (AI)

Location: San Mateo, United States

Salary: $180K–$220K annually

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Design and build security capabilities for customer data, models, and services across multi-cloud infrastructure, including encryption, IAM, secure API gateways, model execution, and sandboxing.
• Review cloud-native architectures and build continuous security monitoring, anomaly detection, and automated response systems.
• Embed DevSecOps practices into CI/CD pipelines through automated scanning, policy enforcement, and secure build and deployment workflows.
• Develop in-house security tooling, automation, vulnerability management, and incident-response capabilities.
• Operate detection engineering, alert triage, incident response, red/blue team exercises, and post-incident reviews.
• Integrate compliance and regulatory controls into infrastructure and product layers.

Requirements

• 3–7 years of experience in software engineering or security engineering focused on security, infrastructure, or cloud-native systems.
• Production-grade software development experience with Python and/or Go.
• Strong knowledge of GCP cloud security, network segregation, authentication, authorization, encryption, data protection, and intrusion detection.
• Hands-on experience with Kubernetes, Docker, Linux, Terraform, CI/CD security tooling, and containerized production environments.
• Experience with multi-cloud platforms, zero-trust architectures, IAM/PAM, microservices, service meshes, distributed systems, and software supply chain security.
• Experience securing LLM/ML platforms, model inference infrastructure, GPU clusters, or data labeling pipelines.

Nice to have

• Deep knowledge of Kubernetes internals and native security controls.
• Experience with compliance tooling and frameworks such as Vanta, SOC 2, ISO 27001, ISO 42001, PCI-DSS, HIPAA, or GDPR.

Culture & Benefits

• Work on AI infrastructure and model-serving technology addressing complex scalability and latency challenges.
• Collaborate with engineers and AI researchers on advanced AI systems.
• Operate in a fast-growing environment with high ownership and direct impact.
• Inclusive, equal-opportunity workplace committed to diversity.