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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer - **Company:** Leidos, Inc. - **Location:** Takoma Park, MD, United States - **Experience:** Expert - **Salary:** $107,900.0 - $195,050.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Advanced Message Queuing Protocol, Systems Engineering, Bash Shell, Big Data, Software Bug Management, C Sharp (Programming Language), Code Coverage, Software Quality, Cyber Security, Continuous Integration, Data Discovery, Linux, DevOps, Elasticsearch, Groovy, Java Message Service (JMS), Python (Programming Language), Message Passing Interface, Open Source Intelligence, Windows PowerShell, Release Management, Logstash, Prometheus, Software Engineering, Virtualization Technology, Enterprise Software Applications, Test Scripts, Backend, Gitlab, Selinux, Kubernetes, Information Technology, Deployment Automation, Apache Kafka, Kibana, Data Pipelines, Microservices - **Published:** July 5, 2026 - **Apply:** https://www.careerjet.com/job/us74aed7274d546fafbbc98151b45e84c5/eaa ## About the Role 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. Additional years of experience in lieu of degree are acceptable. Must have an active Top Secret/ SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance 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) 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 Helm chart design/build Pod disruption budgets Affinity/anti-affinity rules Familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search) GitLab pipeline development experience including: Integration of GitLab CI/CD components Integration of GitLab Code Quality reports Integration of GitLab Code Coverage/Test reports Knowledgeable in navigating Linux OS, specifically: Knowledgeable about sysctls for K8s environments FApolicyd and SELinux experience 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/ Graphana GPU-based Kubernetes SALT for deployment automation ## 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, improve, and maintain CI/CD and DevOps scripts and processes to facilitate faster development, quicker error detection and resilient deployments Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments Use Helm to configure Kubernetes deployments to support new feature requirements. 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, Role Overview As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by leveraging your expertise in .NET and C#. 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