Platform Engineer at HiddenLayer

Job description

Platform Engineer Remote [within the US] ABOUT THE ROLE: We are seeking a Platform Engineer to take ownership of deploying, managing, and evolving our multi-prem platform architecture across diverse customer environments, from bare-metal data centers to commercial and IL5, IL6, and IL6+ environments. You’ll play a critical role in bridging our continuously deployed SaaS platform with shrink-wrapped customer-hosted releases, ensuring alignment, consistency, and operational excellence across all footprints. This is a deeply technical role that sits at the intersection of infrastructure, networking, Kubernetes, and secure automation, ideal for engineers who thrive in complex, regulated, and hybrid environments. WHO WE ARE: HiddenLayer protects the world’s most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up. WHAT YOU’LL DO: Lead deployment and lifecycle management of our multi-prem platform across commercial cloud, bare-metal, air-gapped, and IL4+ environments. Build and maintain infrastructure-as-code (Terraform, Helm, ArgoCD, etc.) to automate consistent deployments across customer sites. Ensure our customer-hosted builds (“shrink-wrapped” software) remain closely aligned with our continuously deployed SaaS platform. Maintain and optimize Kubernetes clusters and container build pipelines (EKS, K0s, AKS, or on-prem distributions). Implement secure and reproducible container image build pipelines, aligned with our internal release processes. Collaborate with Engineering teams to harden deployments for regulated, classified, and air-gapped customer systems. Document and version deployment patterns, templates, and procedures to support both automation and accreditation workflows. Support incident response, troubleshooting, and upgrade cycles across multiple platform footprints. Contribute to the overall architecture and evolution of the multi-prem reference design, ensuring scalability, reliability, and security parity with SaaS. WHO YOU ARE (REQUIRED): U.S. Citizen (required) and eligible for U.S. Government clearance (Secret or higher preferred). Proven success deploying and operating complex systems across multi-cloud and on-prem environments. Deep hands-on expertise with Kubernetes orchestration, container pipelines, and infrastructure automation (Terraform, Helm, ArgoCD). Strong foundation in networking concepts: DNS, routing, VPC design, VPNs, firewalls, and service meshes. Proficient with secure CI/CD pipelines (GitHub Actions). Experience maintaining Linux systems, observability stacks (Prometheus, Grafana, Loki, OpenSearch), and automation tooling. Familiarity with compliance frameworks such as FedRAMP, DoD SRG, or NIST 800-53. WHO YOU ARE (PREFERRED): 5+ years of experience in platform, DevOps, or infrastructure engineering. Experience deploying workloads into AWS GovCloud, Azure Government, or other regulated cloud environments. Experience deploying and maintaining software in classified, air-gapped, or disconnected environments. Knowledge of supply chain security (SLSA, SBOM, image signing, provenance). Background in AI/ML or data-centric security platforms is a plus. Familiarity with Temporal, Kafka, or distributed systems architecture. Experience maintaining multi-tenant platform parity between SaaS and customer-hosted versions. WHY HIDDENLAYER? We just raised $100M in Series B funding led by Delta-v Capital, with backing from Morgan Stanley, Microsoft's venture arm, Booz Allen Hamilton, and others. It's a validation of what we've built: 10x revenue growth, 50+ new enterprise customers, and deployments across defense, finance, and the world's largest AI platforms. This funding goes straight into expanding our platform and GTM capabilities, and into growing our team globally. Attracting and retaining the very best people is our #1 priority. That’s why we offer our team best-in-class benefits, including: Fully Remote: We are a completely remote global team. Though we’re distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses. Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person’s needs. We also offer vision, dental, and 401k offerings. Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays. Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events. Diversity, Equity, and Inclusion: We are committed to building a diverse team with individuals from various backgrounds, experiences, abilities, and perspectives, and we are proud to be an equal opportunity employer. To learn more about HiddenLayer visit HiddenLayer and follow us on LinkedIn or Twitter . HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Requirements

Must-haves

Platform Engineer
Remote [within the US]
Lead deployment and lifecycle management of our multi-prem platform across commercial cloud, bare-metal, air-gapped, and IL4+ environments.
Build and maintain infrastructure-as-code (Terraform, Helm, ArgoCD, etc.) to automate consistent deployments across customer sites.
Ensure our customer-hosted builds (“shrink-wrapped” software) remain closely aligned with our continuously deployed SaaS platform.
Maintain and optimize Kubernetes clusters and container build pipelines (EKS, K0s, AKS, or on-prem distributions).
Implement secure and reproducible container image build pipelines, aligned with our internal release processes.
Collaborate with Engineering teams to harden deployments for regulated, classified, and air-gapped customer systems.
Document and version deployment patterns, templates, and procedures to support both automation and accreditation workflows.
Support incident response, troubleshooting, and upgrade cycles across multiple platform footprints.
Contribute to the overall architecture and evolution of the multi-prem reference design, ensuring scalability, reliability, and security parity with SaaS.
Proven success deploying and operating complex systems across multi-cloud and on-prem environments.
Deep hands-on expertise with Kubernetes orchestration, container pipelines, and infrastructure automation (Terraform, Helm, ArgoCD).
Strong foundation in networking concepts: DNS, routing, VPC design, VPNs, firewalls, and service meshes.
Proficient with secure CI/CD pipelines (GitHub Actions).
Experience maintaining Linux systems, observability stacks (Prometheus, Grafana, Loki, OpenSearch), and automation tooling.
Familiarity with compliance frameworks such as FedRAMP, DoD SRG, or NIST 800-53.
5+ years of experience in platform, DevOps, or infrastructure engineering.
Experience deploying workloads into AWS GovCloud, Azure Government, or other regulated cloud environments.
Experience deploying and maintaining software in classified, air-gapped, or disconnected environments.
Knowledge of supply chain security (SLSA, SBOM, image signing, provenance).
Familiarity with Temporal, Kafka, or distributed systems architecture.

Nice-to-haves

U.S. Citizen (required) and eligible for U.S. Government clearance (Secret or higher preferred).
Background in AI/ML or data-centric security platforms is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesaici/cdawsazureml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Wellness