Application Guide

How to Apply for Platform Engineer

at HiddenLayer

🏢 About HiddenLayer

HiddenLayer is a cybersecurity company specializing exclusively in protecting machine learning models and AI systems, which is a rapidly growing niche in security. They focus on securing the AI/ML lifecycle from development through deployment, making them unique in addressing emerging threats to artificial intelligence. Working here offers the opportunity to be at the forefront of securing cutting-edge technology while contributing to a mission-critical security layer for enterprise AI adoption.

About This Role

This Platform Engineer role involves building and maintaining secure, scalable infrastructure for HiddenLayer's security solutions across diverse customer environments including cloud, bare-metal, and air-gapped systems. You'll be responsible for ensuring consistent deployments across multiple customer sites while implementing security hardening for regulated and classified systems. This role is impactful because you'll directly enable the secure deployment of AI security tools that protect critical machine learning models across various industries.

💡 A Day in the Life

A typical day might involve updating Terraform modules to support new customer environment requirements, troubleshooting deployment inconsistencies across different customer sites, and enhancing security controls in container pipelines. You'd likely collaborate with security teams to implement hardening measures for regulated systems while maintaining deployment automation through ArgoCD workflows.

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Interview Prep

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🎯 Who HiddenLayer Is Looking For

  • Has hands-on experience with the specific IaC stack mentioned: Terraform for infrastructure provisioning, Helm for Kubernetes package management, and ArgoCD for GitOps deployments
  • Can demonstrate experience with Kubernetes in challenging environments including air-gapped systems and regulated industries requiring hardened security configurations
  • Has implemented secure container pipelines with security scanning, vulnerability management, and compliance controls for sensitive deployments
  • Understands deployment patterns for multi-prem architectures and has experience with incident response across distributed platform footprints

📝 Tips for Applying to HiddenLayer

1

Highlight specific projects where you've used Terraform, Helm, and ArgoCD together in production environments, not just individually

2

Quantify your experience with air-gapped or regulated environment deployments (e.g., 'secured 3 air-gapped K8s clusters for financial clients')

3

Demonstrate understanding of ML/AI security challenges by mentioning relevant experience or showing interest in HiddenLayer's specific domain

4

Show examples of how you've aligned SaaS and on-prem deployments in previous roles, as this is explicitly mentioned in the job description

5

Include metrics about deployment consistency, security hardening results, or incident response improvements in your resume

✉️ What to Emphasize in Your Cover Letter

["Your experience with the exact IaC tools mentioned (Terraform, Helm, ArgoCD) and how you've used them in production", 'Specific examples of securing container pipelines and hardening deployments for regulated or classified systems', "Understanding of HiddenLayer's unique position in AI/ML security and why securing these systems matters", 'Experience with multi-prem architectures and maintaining consistency across diverse customer environments']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → HiddenLayer's specific products (MLSec Platform, Model Scanner) and how they secure AI/ML systems
  • → Recent AI/ML security breaches or vulnerabilities to understand the threat landscape HiddenLayer addresses
  • → The company's blog and research papers to understand their technical approach to ML security
  • → Their customer case studies to understand deployment scenarios you might encounter
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Walk me through how you would design a secure container pipeline for an air-gapped Kubernetes cluster
2 How have you used Terraform, Helm, and ArgoCD together in a previous deployment? What challenges did you face?
3 Describe your approach to incident response when dealing with multiple platform footprints across different customer sites
4 What security considerations are unique to AI/ML model deployments versus traditional applications?
5 How do you ensure SaaS and on-prem deployments remain aligned when features are updated?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Only listing IaC tools without showing how you've used them together in production environments
  • Focusing only on cloud deployments without addressing air-gapped or regulated environment experience
  • Treating this as a generic platform role without demonstrating understanding of AI/ML security challenges

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to HiddenLayer!

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