Deployment Engineer

Who We Are:

Kudu Dynamics isaLeidos ownedcompanyforged 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 tomorrows threats and build the next of capabilities.

Summary:

Were 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 elses 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. Youll 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. Were a collaborative team working at the leading edge and were looking for someone who wants to both learn and lead. This is not a supervisory role.

Required Experience:

• 3 years in deployment engineering systems/platform engineering DevOps 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.

What Youll Do:

• 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 systems.
• Contribute to operational standards deployment practices upgrade strategies and backup/disaster-recovery procedures.
• Perform capacity planning and identify performance bottlenecks across compute storage and networking.
• Document everything you deploy and train customer and internal teams to operate it.
• Learn new skills and teach the rest of us what you know.

Your First Ninety Days:

• Learn the scan lifecycle and how a unit of work moves through the platform.
• Get hands-on with the Temporal and Kubernetes execution plane and a full deployment end to end.
• Stand up (or improve) monitoring and the observability model for a deployed environment.
• Document a repeatable deployment runbook and contribute to the failure taxonomy.
• Validate backup and restore in a representative environment.

Preferred Qualifications:

• Experience with Proxmox or other virtualization and self-hosted compute clusters.
• Familiarity with a durable workflow orchestration system such as Temporal including diagnosing stuck retried and non-retryable executions.
• Experience operating Postgres ClickHouse or Redis.
• Familiarity with NixOS Nix flakes and reproducible system configuration.
• Exposure to defining Service Level Indicators/Objectives and error budgets.
• CPU/GPU scheduling for compute-intensive workloads with capacity and utilization telemetry.
• Workload isolation and ephemeral execution environments for untrusted or potentially hostile software.
• Prior experience delivering software into classified air-gapped or disconnected government environments.
• Familiarity with NIST RMF accreditation activities (ATO / continuous ATO).
• Familiarity with DevSecOps pipelines and security tooling (SAST DAST SCA) or vulnerability-management workflows.
• Active U.S. government security clearance.
• Certifications such as Certified Kubernetes Administrator a cloud architect/engineer credential or Security.

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.