To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging
Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security and compliance to facilitate faster development, quicker error detection and resilient deployments
Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments
Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD.
Collaborate with System Engineers to design solutions for new features and requirements
Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings
Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing solutions in a the Kubernetes environments.
You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications:
BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master’s degree.
Must have an active Top Secret/ SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance
Knowledgeable in navigating Linux OS, specifically: Knowledgeable about K8s environments
Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate)
GitLab CI/CD pipeline development experience including: Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy
Experienced with container/container orchestration, specifically Kubernetes and troubleshooting experience with:
Ingress/Gateway API
Multi-tenant GPU sharing
Helm chart design/build
Pod disruption budgets
Affinity/anti-affinity rules
Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search)
Comfortable with Elastic Search, Logstash, Kibana
Demonstrated ability to participate in cross-functional planning, coordination, and task execution
You will wow us even more if you have some of these:•
Experience with systems at scale
Experience/knowledge of key Agile processes and techniques
Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.
Experience on a production/ enterprise system•
Experience with any of the following technologies
Kafka or other message passing systems (AMQP, JMS)·
Kubernetes monitoring, e.g., Prometheus/ Grafana, Open Telemetry·
SALT for deployment automation·
Nexus
#NMECDTP-ALL
#ASBA
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 $107,900.00 - $195,050.00
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.
