Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 107 days ago

Senior Platform DevSecOps Engineer

Future Secure AI34 open roles

Where
Austin, TX
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Platform DevSecOps EngineerFuture Secure AI · Austin, TX

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Future Secure AI's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Future Secure AI postings stay open a median of 46 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 107 days ago

Future Secure AI median: 46 days open

The posting

About the Company

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.

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 is a hands-on platform security role, not a governance or compliance-desk role: you will live in the pipelines, the infrastructure-as-code, the Kubernetes clusters, and the secrets management, and you will spend as much time influencing people as you do writing configuration.

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). Those sit with our corporate security and IT functions, and you will collaborate with them where platform security intersects without being accountable for them.

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

Minimum Qualifications

  • Deep, practical DevSecOps experience securing real pipelines and real clusters, not just writing policy about them
  • Fluency with GitOps as the mechanism for change, and the instinct to enforce security in the pipeline rather than around it
  • 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

Preferred Qualifications

  • 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)

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Future Secure AI's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Future Secure AI's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Future Secure AI's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.