Future Secure AI

Platform DevSecOps Engineer

Austin, TX · Staff+

Sponsorship not specifiedDetected 14 days ago

GitAWSAzureKubernetesTerraformHelmCI/CDGitHub ActionsSite Reliability EngineeringRESTAgentic AICybersecurityComplianceLeadershipCommunication

About the role

We are hiring a Platform DevSecOps Engineer to take total ownership of the Secure Software Development Lifecycle (SSDLC) for our agent harness (the platform on which our AI agents run) and the agents themselves.
You will be the single point of accountability for security across how these systems are built, configured, deployed, and operated, and the internal champion who makes secure-by-default the path of least resistance for every team that touches them.
This role does not cover overall corporate security governance, including IT/fleet and device management, endpoint administration, or corporate compliance-framework attestation (SOC 2, ISO 27001, and similar).

Own end-to-end SSDLC for the agent harness and the agents: threat modeling, secure design review, pre-merge scanning, supply-chain integrity, runtime hardening, and vulnerability remediation from discovery through verified rollout
Drive supply-chain security, including SBOM/VEX generation, dependency provenance, artifact signing/promotion controls, and keeping build and dependency resolution flowing through trusted internal registries rather than the open internet
Drive CVE remediation campaigns across multiple clusters and cloud accounts to measurable targets (e.g., zero critical findings), coordinating rollouts without regressing running workloads
Partner with platform engineers, application/agent developers, SRE, and non-technical stakeholders (product, leadership, customer-facing teams) to move security objectives forward and translate risk into terms each audience acts on

A track record of driving vulnerability remediation to completion across a fleet without breaking production

Direct experience with our stack: Kubernetes on AWS EKS and Azure AKS, Terraform/Terragrunt, Helm/Helmfile, and ArgoCD for GitOps-driven continuous delivery
Experience with GitHub Actions and OIDC-based cloud authentication, SAST tooling (e.g., CodeQL), and SBOM/VEX generation and consumption
Experience with artifact registries and promotion/signing controls (e.g., JFrog Artifactory, container and OCI registries)
Experience with SOPS-encrypted secrets, workload identity (AWS IRSA, Azure Workload Identity), and cloud IAM/RBAC and KMS/Key Vault
Relevant certifications such as CKS, CKA/CKAD, AWS Certified Security - Specialty, AZ-500, Terraform Associate, GIAC GCSA/GCLD, CISSP, or Security+ (none strictly required, but signal relevant depth)
A high-performance culture
State-of-the-art technology
Experience world-class leadership

At Future Secure AI, we're building something genuinely new - and we're looking for people bold enough to build it with us.
We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity.
Our BRAVER values aren't just words on a wall - they describe the kind of people we are and the standard we hold ourselves to every day.
Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here.
We invest seriously in your growth because we know our success depends on yours.
If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

This listing is sourced directly from Future Secure AI's careers page and normalized into a canonical job model.