Deploy, troubleshoot, monitor, and maintain the platform for a production big-data pipeline built on Kubernetes, Elasticsearch, and Kafka .
Administer and maintain Linux-based applications, including installation, configuration, patching, upgrades, performance monitoring, troubleshooting, and system hardening.
Integrate with the underlying physical and virtual infrastructure, ensuring 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.
To be successful in this role you need the following (required qualifications):
You’re enthusiastic, collaborative, and comfortable working with teammates across a range of technical backgrounds. You also meet the following qualifications:
Bachelor’s degree in Engineering, Computer Sciences, Systems Engineering, or related field (or equivalent experience) with 4+ years of relevant experience; 2+ years with a Master’s
Active TS/SCI clearance and ability to obtain/maintain a TS/SCI with CI Polygraph
Possess at least one DoD 8140.03-M IAT Level II or higher certification, e.g., CySA+, Security+CE, etc.
Ability to obtain Privileged User Account (PUA) certification per DoD 8140 policy
Hands-on experience with Kubernetes administration and operations
Helm or comparable Kubernetes package/configuration-management tools
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
You will wow us even more if you have some of these skills
Knowledge of Agile methodologies
Development experience (Bash, PowerShell, SALT, Python, Groovy, Java, etc.)
Familiarity with
Kafka or other messaging systems
GPU-based Kubernetes
SALT for deployment automation
Helm/Helmfile
CI/CD tools such as Gitlab, Nexus, ArgoCD
Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 32,000 employees support vital missions for government and commercial customers. For more information, visit www.Leidos.com.
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If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting
October 16, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range
Pay Range $87,100.00 - $157,450.00
The Leidos pay range for this job level is a general guideline only and 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.
