Sr. DevOps Engineer.

Job Description

Description

Are you ready to join Leidos’ all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos has a current opening for a TS / SCI cleared DevOps Engineer supporting our client’s overall mission to design and implement a data centric architecture that leverages on-prem and cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems.

Leidos has an exciting opening for you, our next DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DOMEX Technology Platform (DTP) contact.  Under this multi-Task Order 10-year contract, we support the DOMEX Data Discovery Platform (D3P) Modernization program as well as customer's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. 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, with 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

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 security clearance with the ability to obtain and maintain a TS / SCI with Polygraph security clearance

Comfortable working in Linux

Experience with continuous delivery using ArgoCD

Container or container orchestration experience, i.e. Docker, Docker swarm, Kubernetes, etc.

Development experience, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.

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 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

Elasticsearch, Kibana, and Logstash, specifically admin experience

Helm and Helmfile

Nexus

#NMECDTP-Leidos

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 : September 29, 2025

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 $104,650.00 - $189,175.00

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.