• Architect a Kubernetes-native platform that models broadcast infrastructure as custom resources. • Lead the technical strategy leveraging Crossplane compositions and custom Go functions to automate provisioning across multi-account AWS environments and on-prem control rooms. • Design, build, and maintain production-grade Kubernetes operators, controllers, and internal platform APIs in Go. • Actively develop custom Crossplane providers to deeply integrate external enterprise platforms (such as NRCS, Venafi, and Infoblox) into our control plane, managing resource lifecycles and approval workflows. • Lead the design of cloud networking, DNS strategies, and cross-account connectivity across hybrid environments, automating VPC topology and dynamic network routing. • Partner closely with broadcast systems engineers, system integrators, and external vendors to bridge the gap between broadcast hardware and automated infrastructure. • Write RFCs, drive architectural decisions, mentor engineers, and establish high-confidence CI/CD pipelines, testing strategies, and GitHub Actions automation. • Own the platform's authorization model, designing hierarchical RBAC systems, resource identifier schemes, and identity integrations that enforce fine-grained access control. • Drive GitOps-based continuous delivery (Flux, Kustomize, Helm) and manage configuration-as-code for compute fleets using Puppet. • Ensure deep operational visibility by designing comprehensive observability and alerting stacks. • Oversee the integration of remote desktop/VDI connectivity solutions, focusing on session authentication, credential management, and gateway routing.

• Shape the DX and infrastructure of our platform • Collaborate with cross-functional teams • Optimize infrastructure and developer experience • Validate the technical feasibility of PRD documents • Diagnose, troubleshoot, and resolve application issues • Manage deployments and maintain robust CI/CD pipelines • Mentor junior developers.

• Design, develop, and maintain infrastructure for AI inference workloads, including GPU scheduling, model deployment pipelines, and data access patterns in on-prem environments • Build and manage monitoring and observability tools for AI inference platforms, including dashboards, alerts, and runbooks for model health and system performance • Collaborate with ML engineers and platform teams to design system architecture for AI workloads, integrate inference runtimes, and test performance at scale

Role Description This DevSecOps role is foundational to our engineering department. We aren't looking for just another DevOps hand—we need a Security Guardian who understands that reliable software must first be secure, especially when handling Protected Health Information (PHI). You will own the full security lifecycle of our platform, turning complex regulatory requirements (like HIPAA) into simple, automated, and ironclad engineering solutions. This is where technical mastery meets legal compliance. If you thrive on bridging the gap between rapid development cycles and critical healthcare regulations, this role is for you. What You Will Own: - Define and enforce our approach to handling PHI, making HIPAA adherence a non-negotiable part of every system we build or update. - Build robust CI/CD pipelines that aren't just deploy code; they automatically inject security checks—from vulnerable scanning to compliance verification and ensuring least-privilege access at every single step. - Lead design and code reviews, proactively identifying architectural weak points or compliance risks before they become problems in production. - Keep our core platforms running smoothly by continually hardening them, establishing security baselines, and maintaining thorough documentation to ensure we are always audit-ready. Company Description To learn more about Direct Meds, please visit https://directmeds.com . Important! To apply and be considered as a candidate for this position, you must apply and complete the form using the application link on Zoho below: Application Link