> Markdown version of [/jobs/ext/3798114-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3798114-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Hiddenlayer, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software as a Service, Computer Networks, Data Centers, Linux, DevOps, Distributed Systems, Domain Name System (DNS), Github, Virtual Private Networks (VPN), Routing, Software Maintenance, Prometheus, RSA (Cryptosystem), Grafana, Multi-Cloud, Amazon Virtual Private Cloud (VPC), AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Apache Kafka, Terraform, OpenSearch - **Published:** October 17, 2026 - **Apply:** https://www.builtincolorado.com/job/platform-engineer/11725235?handler=ApplyRedirect ## About the Role * 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. ## Description Remote Hiring Remotely in US Senior level Remote Hiring Remotely in US Senior level Owns deployment, lifecycle management, and evolution of a multi-prem platform across cloud, bare-metal, air-gapped, and regulated environments. Builds infrastructure-as-code and secure CI/CD pipelines, maintains Kubernetes clusters and observability systems, aligns SaaS and customer-hosted releases, and supports incident response and upgrades. The role also contributes to platform architecture, deployment documentation, compliance workflows, and secure operations across classified and government environments. The summary above was generated by AI, 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., * 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.