Senior Software Engineer job opportunity at Leidos.

Home Jobs In United States Of America Tag: Job Senior Software Engineer position at Leidos


DatePosted 5 Days Ago bot
Leidos Senior Software Engineer
Experience: 8-years
Pattern: full-time
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loacation Bethesda, MD, United States Of America
loacation Bethesda, MD....United States Of America

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. Required Qualifications: Education:  Bachelor’s Degree with 4-8 years of relevant experience or Master’s Degree with 2-6 years of relevant experience. Additional years of experience may be substituted for a degree. 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. 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: February 24, 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 $107,900.00 - $195,050.00 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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