DevOps Platform Engineer/Linux Systems Administrator
About The Position
Leidos is seeking a TS/SCI-cleared DevOps Platform Engineer/Linux Systems Administrator to join a team deploying and maintaining common application-runtime capabilities for the DIA-NDOC DOMEX Technology Platform (DTP). The role supports a 10-year program for the DOMEX Data Discovery Platform (D3P) Modernization effort and contributes to mission-critical platform capabilities. The engineer will operate and maintain a Kubernetes-based application platform and shared runtime services, including Elastic and Redis. Work includes platform configuration, monitoring, troubleshooting, security hardening, capacity management, version upgrades, and automation to deliver reliable, secure, scalable services. The position also supports automation, continuous integration and delivery, and DevOps practices across cross-functional engineering teams, working closely with systems engineering, architecture, development, security, operations, and integration teams. Most work is performed on-site at the customer location in Bethesda, Maryland, with a flexible schedule and occasional opportunities for remote work.
Requirements
- Bachelor’s degree in Engineering, Computer Sciences, Systems Engineering, or a related field, or equivalent experience, with 4 or more years of relevant experience; alternatively, 2 or more years of relevant experience with a Master’s degree.
- Active TS/SCI clearance and ability to obtain and maintain a TS/SCI with CI Polygraph.
- At least one DoD 8140.03-M IAT Level II or higher certification, such as CySA+ or Security+ CE.
- Ability to obtain Privileged User Account (PUA) certification under DoD 8140 policy.
- Hands-on experience with Kubernetes administration and operations.
- Experience with Helm or comparable Kubernetes package/configuration-management tools.
- Ability to troubleshoot pod failures, networking issues, image pulls, scheduling constraints, and application connectivity.
- Experience with Linux command-line administration and troubleshooting, including processes, filesystems, networking, permissions, logs, certificates, and system resource analysis.
- Experience supporting or administering at least one shared data or application platform service, such as Elastic, Redis, message queues, or API gateways.
- Familiarity with infrastructure and platform automation tools such as Terraform, Ansible, Helm, Bash, or Python, or equivalent tools.
- Working knowledge of platform security practices.
- Experience with monitoring and observability tools and practices.
- Ability to create and maintain clear technical documentation.
- Strong troubleshooting, analytical, and communication skills.
- Enthusiasm for collaborative work with teammates across a range of technical backgrounds.
Nice To Haves
- Knowledge of Agile methodologies.
- Development experience with Bash, PowerShell, SALT, Python, Groovy, Java, or similar languages and tools.
- Familiarity with Kafka or other messaging systems.
- Familiarity with GPU-based Kubernetes.
- Familiarity with SALT for deployment automation.
- Familiarity with Helm or Helmfile.
- Familiarity with CI/CD tools such as GitLab, Nexus, or ArgoCD.
Responsibilities
- Deploy, troubleshoot, monitor, and maintain a production big-data pipeline platform built on Kubernetes, Elasticsearch, and Kafka.
- Administer and maintain Linux-based applications, including installation, configuration, patching, upgrades, performance monitoring, troubleshooting, and system hardening.
- Integrate the platform with underlying physical and virtual infrastructure to support availability, reliability, security, and performance.
- Design and support scalable, redundant application infrastructure across physical and virtual environments.
- Contribute technical input to engineering documentation, diagrams, and models.
- Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities.
- Operate and maintain Kubernetes-based platform and shared runtime services, including Elastic and Redis, through configuration, monitoring, troubleshooting, security hardening, capacity management, upgrades, and automation.
- Support implementation of automation, continuous integration and delivery, and DevOps best practices across engineering teams.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
