Software 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 an exciting opening for you as our next TS / SCI cleared Software Engineer supporting a long-term DIA-NMEC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering / Manager on a broad scope of activities extending across the development of systems to include an enterprise AFEM (Automated Facial Extraction and Matching) capability.  Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. We offer a flexible environment where work is conducted both remotely and on-site at our client location in Bethesda, MD. The percentage of remote work will vary based on client requirements / deliverables.

You will work closely with the team on the following key tasks :

• Work in a DevSecOps environment to ensure availability of the biometric system and data to end users.
• Oversee the integration, maintenance, and monitoring of software to ensure constant availability of all technical resources, and provide technical direction to IT support staff.
• Develops, maintains, and enhances complex and diverse software systems ( e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements
• Provides specific input to the software components of system design to include hardware / software trade-offs, software reuse, use of COTS / GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components
• Designs, implements, and integrates software applications or performs software engineering tasks to include making enhancements to the existing system and operational support to diagnose and / or correct any system abnormalities
• Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment
• Participate in test, staging and production deployment.
• Assist in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in-house written python / java micro services running on Kubernetes
• Develop and integrate Docker containers to be deployed to Kubernetes
• Monitor automated system integration tests to identify failed modules and components
• Manage individual project priorities, deliverables, and deadlines.
• Update project documentation for each release
• Provide tasking and time estimates for each Program Increment
• Foster an environment of collaboration with the different team members with the goal of providing quality service and product to our customers

To be successful in this role you need these skills (required) :

You will wow us even more if you have some of these skills :

GPU-based Kubernetes

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

Original Posting : August 25, 2025

At Leidos, we don’t want someone who "fits the mold"—we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, “what’s next?” before the dust settles on “what’s now.”

If you’re already scheming step 20 while everyone else is still debating step 2… good. You’ll fit right in.

Pay Range : Pay Range $85,150.00 - $153,925.00

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.