Senior Software Engineer

Job Description

Leidos is seeking a
TS/SCI cleared Senior Software Engineer
to join our mission-driven team. This role supports our client's efforts to design and implement a cutting-edge data-centric architecture leveraging
cloud-based computing
,
artificial intelligence (AI)
,
machine learning (ML)
, and
cross-domain transfer systems.
Why Join Us?
At Leidos, we believe in empowering our employees through
training
,
teamwork
, and exposure to
challenging technical work
. As part of our all-star team, you'll have the opportunity to accelerate your career path while contributing to impactful projects that make a difference.
We offer:
Flexible work arrangements
(remote and on-site in Bethesda, MD).
A
collaborative environment
that values innovation and professional development.
Opportunities to work on
mission-focused solutions
with cutting-edge technologies.
About the Role:
As a Senior Software Engineer, you will:
Work in a
DevSecOps environment
to ensure the availability of biometric systems and data for end users.
Lead the integration, maintenance, and monitoring of software systems to ensure constant availability of technical resources.
Design, implement, and enhance complex software systems, including
processing-intensive analytics
,
real-time systems
, and
business management information systems
.
Collaborate with Systems Engineers, Software Engineers, Architects, and Operations teams to develop enterprise AFEM (Automated Facial Extraction and Matching) capabilities.
Participate in
test, staging, and production deployments
, ensuring system reliability and performance.
Key Responsibilities:
Develop and maintain software applications using
C#
Implement
API development
,
ETL processes
, and enterprise search capabilities (e.g., Elasticsearch).
Utilize
DevOps tools
like GitLab or Jenkins for CI/CD practices.
Monitor automated system integration tests and resolve system abnormalities.
Foster collaboration within the team to deliver high-quality solutions to customers.
Technical lead for mission-critical system including system maintenance, mission integration and cross-platform data synchronization
Represent multiple technical teams in divisional software integration project
Drive innovation, process improvement, and technical re-architecting to support emerging technologies in biometrics, computer vision, and other AI/ML-driven data processing
Required Qualifications:
Education:
Typically requires Masters with 15 + years of prior relevant experience or Doctorate with 13+ years of prior relevant experience.
Clearance:
Active Top Secret/SCI clearance with the ability to obtain and maintain Poly.
Technical Skills:
Proficiency in
C# programming
and
API development
.
Knowledge of
SQL Server
,
ETL processes
, and
application-level security
.
Hands-on experience with
microservices
and
logging systems
.
Preferred Qualifications:
Familiarity with
biometric systems
and SDKs.
Experience with
containerization
(e.g., Docker) and
DevOps tools
Experience with
AWS cloud-based architecture
and services like Lambda.
Experience with GPU for processing using
CUDA
,
PyTorch
, etc.
Knowledge of
GraphQL
,
Python
,
Bash
,
Apache NiFi
, and
Kafka
.
Active certifications such as
Security+
or
CE
.
Proficiency with
Linux server management
and tools optimized for cross-platform environments.
#NMECDTP-Leidos
#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:
August 12, 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 $154,050.00 - $278,475.00
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.