Senior DevOps Engineer
In short. Senior DevOps Engineer at Leidos: a full-time senior role, on-site in Bethesda, MD. Posted salary: $131K – $237K. Asks for 12+ years of experience. Main work: Deploy, triage and maintain a production big data pipeline built on Kubernetes, Elasticsearch, and Kafka. Skills mentioned: Python, CI/CD, Kubernetes, Linux. Posted Nov 4, 2026, checked on the employer's site 1 hour ago.
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Summary
As a Senior DevOps Engineer you will lead a DevOps team responsible for the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration.
Quoted from Leidos's description, not rewritten.
Skills mentioned
About the role
Leidos is looking for our next TS/SCI cleared Senior DevOps Software Engineer to join a high energy team building and deploying a cutting edge technology stack in support of the DIA NDOC (National Digital Exploitation and OSINT Center) DOMEX Technology Platform (DTP). Under this 10-year contract containing multiple Task Orders, we support the DOMEX Data Discovery Platform (D3P) Modernization program as well as NDOC’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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.
What You’ll Do
As a Senior DevOps Engineer you will lead a DevOps team responsible for 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 engineers, architects, developers, software integrators, and system administrators on the following key tasks:
- Deploy, triage and maintain a production big data pipeline built on Kubernetes, Elasticsearch, and Kafka
- Enhance and maintain CI/CD pipelines and DevOps automation to accelerate development and improve reliability
- Design and support scalable, redundant infrastructure across physical and virtual environments
- Use Helm to configure Kubernetes deployments for new features and evolving 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
- Support SAFe Program Increment (PI) planning and execution
- Own and prioritize the Agile team backlog, ensuring work aligns with business priorities and delivers maximum value; break down features, prioritize work, and ensure requirements are clear and actionable; review and accept completed work to ensure it meets business requirements and quality standards
What You Bring
You’re enthusiastic, collaborative, and comfortable working with teammates across a range of technical backgrounds. You also meet the following qualifications:
- BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering or related field or 10+ years of experience with Master’s degree
- Active TS/SCI security clearance with the ability to obtain and maintain a Polygraph.
- Current DoD 8570.01M IAT Level II (or higher) certification, such as Security+, CySA+, SSCP, CCNA Security, or CISSP (or Associate)
- Ability to obtain Privileged User Account (PUA) certification
- Hands‑on experience with containers and Kubernetes
- e.g., Ingress/Gateway API, Helm chart design/build, pod disruption budgets, affinity/anti-affinity rules, familiarity with external-secrets, ArgoCD, cert-manager, eck (elastic search)
- Experience with GitLab pipeline development
- e.g., integration of GitLab CI/CD components, code quality reports, coverage/test reports
- Experience as a Product Owner or a similar role in an Agile software development team
- Excellent communication skills (verbal and written) to articulate technical and non-technical concepts to diverse audiences
- Proven ability to work cross-functionally with engineering, design, project management teams, and stakeholders
You will wow us even more if you have some of these:
- 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
- Nexus
- Linux, e.g., sysctls for K8s environments, FApolicyd, SELinux
- Familiarity with Elasticsearch, Logstash, and Kibana
#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
November 4, 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 $131,300.00 - $237,350.00
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.
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