Job description

Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program as well as our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise (DIE). You will have impact as part of a mission focused, solutions oriented, and adaptive team that values inclusion, innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment. You will work closely with a multi-disciplinary team of developers, other software integrators and system administrators on the following key tasks: 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.

Requirements

Must-haves

You will work closely with a multi-disciplinary team of developers, other software integrators and system administrators on the following key tasks:
To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging
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: •

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

kubernetesci/cdaiagilescrumapipythonjava

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Professional Development