Deployment Engineer

Who We Are:

Kudu Dynamics is a Leidos owned company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers, engineers, makers, and shakers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics is uniquely qualified to anticipate tomorrow’s threats and build the next of capabilities.

Summary:

We’re an innovative, forward‑looking team seeking a Deployment Engineer to install, configure, and support our AI‑powered, autonomous vulnerability operations platform across the environments our customers run in — including customer on‑premises installations, air‑gapped and classified networks, a hosted software‑as‑a‑service offering, and Leidos cloud‑hosted infrastructure. This role is for a hands‑on engineer who enjoys standing systems up, making them run reliably in someone else’s environment, and leaving behind clear documentation so others can operate what you deploy.

You are comfortable working across Kubernetes, LLM endpoints, and Linux systems, and you are at ease with workloads that run for hours, retry, and return non‑deterministic results. You’ll partner closely with platform engineering and the Cyber Agent development teams, help customers get to a healthy running state, and feed what you learn in the field back into the product. We’re a collaborative team working at the leading edge, and we’re looking for someone who wants to both learn and lead.

This is not a supervisory role.

3+ years in deployment engineering, systems/platform engineering, Dev Ops, or production infrastructure, including hands‑on responsibility for standing up and supporting running systems. Hands‑on experience deploying and operating containerized workloads with Kubernetes and Docker (e.g., MicroK8s, K3s, or equivalent), including multi‑node clusters. Proficiency administering Linux systems, with practical troubleshooting across networking, storage, and containers. Experience deploying or supporting workloads that call internal or external LLM endpoints, and comfort reasoning about rate limits, provider failures, and model serving.

Experience building and testing backup and recovery so deployed systems can be restored reliably. Experience building monitoring, logging, and alerting so problems are caught before customers notice them. Experience automating repetitive setup and configuration tasks and reducing configuration drift. Comfort operating long‑running, highly parallel, retried, and non‑deterministic jobs, including partially completed work and checkpointing. Strong documentation habits — able to capture system architecture and train others to operate and troubleshoot what you deploy.

Scripting/programming ability (e.g., Python) sufficient to automate deployment and glue systems together. Ability to obtain and maintain a U.S. government security clearance. U.S. citizenship required.

Install, configure, and validate the platform across customer on‑premises, air‑gapped/classified, SaaS, and cloud environments. Design, deploy, and maintain the Linux and Kubernetes infrastructure the platform runs on. Build reproducible configurations and deployment workflows using infrastructure‑as‑code. Stand up monitoring, logging, and alerting, and improve resilience, recoverability, and maintainability. Diagnose failures across Linux, networking, storage, containers, and distributed systems — and help distinguish platform failures from issues in the software being analyzed.

Automate operational tasks, eliminate configuration drift, and harden deployed…