Platform DevSecOps Engineer
Core
Own end-to-end Secure Software Development Lifecycle (SSDLC) for the AI agent harness and agents, ensuring security in pipelines, infrastructure-as-code, and Kubernetes clusters.
Role type
Senior hands-on Platform DevSecOps Engineer
Builds
Secure AI agent harness platform and AI agents
Domain
AI/ML infrastructure, Multi-cloud Kubernetes security
Deliverable
production ML models | infrastructure
Required skills
DevSecOps, GitOps, Multi-cloud Kubernetes security, Vulnerability remediation, Secrets management, Identity hygiene, Supply-chain security
Preferred skills
Kubernetes on AWS EKS/Azure AKS, Terraform/Terragrunt, Helm/Helmfile, ArgoCD, GitHub Actions, OIDC, SAST tooling, SBOM/VEX generation, Artifact registries, SOPS-encrypted secrets, Workload identity, Cloud IAM/RBAC
Technologies
Kubernetes, AWS EKS, Azure AKS, Terraform, Terragrunt, Helm, Helmfile, ArgoCD, GitHub Actions, JFrog Artifactory, OCI registries, SOPS, AWS IRSA, Azure Workload Identity
Responsibilities
Own end-to-end SSDLC including threat modeling, secure design review, pre-merge scanning, supply-chain integrity, runtime hardening, and vulnerability remediation; Define and enforce security best practices in GitOps/CI/CD paths; Drive supply-chain security (SBOM/VEX, artifact signing); Execute CVE remediation campaigns; Enforce secrets and identity hygiene; Partner with platform engineers, developers, and stakeholders to advance security objectives.