CareerPlanSign in
💼 Full-time🗓 2026-06-25

Core

Design, build, and operate security controls, detection pipelines, and incident response systems for an enterprise AI platform serving autonomous customer support agents.

Role type

Security Operations Engineer (SecOps)

Builds

Security infrastructure, detection pipelines, and compliance controls for an AI platform

Domain

Enterprise AI / Cloud Security

Deliverable

production ML models | infrastructure

Required skills

Kubernetes security, CI/CD pipeline hardening, infrastructure-as-code, SIEM and audit logging, cloud security (IAM, networking, TLS), scripting/programming, compliance framework implementation

Preferred skills

Compliance automation, multi-cloud deployments, offensive security/red teaming, open-source security contributions

Technologies

Kubernetes, Azure, AWS, GCP, Pulumi, Terraform, Helm, GitHub Actions, ArgoCD, SIEM

Responsibilities

Own security posture of infrastructure including Kubernetes clusters; Harden CI/CD pipelines against supply chain threats; Design and maintain security infrastructure across cloud providers; Build and operate detection and response capabilities; Support compliance programs; Manage identity, secrets, and access controls; Address AI-specific risks; Evaluate and adopt new tooling

Seniority

Mid-level, hands-on IC

Sourced via wellfound · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.