DevOps Platform Engineer/Linux Systems Administrator

Leidos • Bethesda, MD

4h • Hybrid

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 focuses on operating and maintaining 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.

The engineer collaborates with systems engineering, architecture, development, security, operations, and integration teams. Most work is performed onsite at the customer location in Bethesda, Maryland, with a flexible schedule and occasional opportunities for remote work. The position is part of a multidisciplinary group supporting a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka.

Requirements

• Bachelor’s degree in Engineering, Computer Sciences, Systems Engineering, or a related field, or equivalent experience, with at least 4 years of relevant experience; alternatively, 2+ years of 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 administering and operating Kubernetes.
• Experience with Helm or comparable Kubernetes package/configuration-management tools.
• Experience troubleshooting 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, API gateways, or similar distributed services.
• Familiarity with infrastructure and platform automation tools such as Terraform, Ansible, Helm, Bash, Python, or equivalent.
• 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 collaboration and comfort working 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 platform built on Kubernetes, Elasticsearch, and Kafka.
• Administer 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 system 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.
• Support automation, continuous integration and delivery, and DevOps best practices across cross-functional engineering teams.
• Perform platform configuration, monitoring, troubleshooting, security hardening, capacity management, version upgrades, and automation for shared runtime services.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level