Platform DevSecOps Engineer — SSDLC Lead

Future Secure AI Pty; Austin (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Future Secure AI Pty in Austin, Texas is seeking 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.

This hands‑on platform security role lives in the pipelines, the infrastructure‑as‑code, the Kubernetes clusters, and the

Qualifications

• Hands-on DevSecOps experience securing real pipelines and real clusters.
• Fluency with GitOps as the mechanism for change and the instinct to enforce security in the pipeline.
• Strong multi-cloud Kubernetes security background (AWS and/or Azure).
• A track record of driving vulnerability remediation to completion across a fleet without breaking production.
• Excellent communication skills, able to make a security case land with a staff engineer and with a non-technical executive in the same conversation.
• An ownership mindset, treating total ownership of the SSDLC as a mandate rather than a slogan.

Responsibilities

• 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
• Define security best practices for base‑platform and agent configuration, encoding them into the GitOps and CI/CD paths so they’re enforced automatically rather than by memo, and hold the line on them in review
• 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
• Enforce secrets and identity hygiene, including encrypted‑at‑rest secrets in GitOps, workload identity federation, and least‑privilege access across cloud and cluster
• 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

Skills

DevSecOps

GitOps

Kubernetes

Cloud security

Threat modeling

CI/CD pipelines

Tools

ArgoCD

Terraform

Helm

OIDC

SAST tools

Job description

Future Secure AI Pty in Austin, Texas is seeking 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.

This hands‑on platform security role lives in the pipelines, the infrastructure‑as‑code, the Kubernetes clusters, and the