Deployment Engineer

Leidos

. Install, configure, and validate the platform across customer on-premises, air-gapped/classified, SaaS, and cloud environments .

Posted 10/20/2026full-timeUnited StatesMid-LevelSenior💰 $87,100 - $157,450 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and maintaining Linux and Kubernetes infrastructure, with a strong focus on automation, monitoring, and operational resilience. Proficient in scripting and documentation, with the ability to train teams and support complex deployment environments.

Highest-signal resume keywords

Kubernetes DeploymentLinux AdministrationInfrastructure-As-CodeMonitoring And LoggingScripting In Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deployment EngineeringContainerization With DockerTroubleshooting NetworkingBackup And RecoveryConfiguration Automation

Soft Skills

Strong Documentation HabitsTraining And Mentoring

Tools & Technologies

ProxmoxTemporalPostgresClickHouseRedis

Certifications & Qualifications

Certified Kubernetes AdministratorCloud Architect CredentialsSecurity+

Industry Keywords

DevOpsNIST RMFDevSecOpsAir-Gapped EnvironmentsU.S. Government Security Clearance

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerKubernetesLinuxNode.jsPostgresPythonRedis

About the role

Key responsibilities & impact

Install, configure, and validate the platform across customer on-premises, air-gapped/classified, SaaS, and cloud environments
Design, deploy, and maintain Linux and Kubernetes infrastructure
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
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 deployments and train customer and internal teams
Learn new skills and teach the team
In the first ninety days: learn the scan lifecycle; work with Temporal and Kubernetes; improve observability; document a deployment runbook; validate backup and restore

Requirements

What you’ll need

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, 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
Experience building and testing backup and recovery
Experience building monitoring, logging, and alerting
Experience automating 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 and ability to train others
Scripting/programming ability such as Python
Ability to obtain and maintain a U.S. government security clearance
U.S. citizenship required
Preferred: Proxmox or other virtualization; Temporal; Postgres, ClickHouse, or Redis; NixOS and Nix flakes; SLI/SLO and error budgets; CPU/GPU scheduling; workload isolation; classified or air-gapped government environments; NIST RMF; DevSecOps pipelines and security tooling; active U.S. government security clearance; relevant certifications such as Certified Kubernetes Administrator, cloud architect/engineer credentials, or Security+