Senior Software Engineer
Listed on 2026-05-16
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Software Development
Software Engineer, Cloud Engineer - Software, DevOps, Senior Developer
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.
About the RoleAs a Senior Software Engineer, you will:
- Work in a Dev Sec Ops 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.
- Develop and maintain software applications using C#.
- Implement API development, ETL processes, and enterprise search capabilities (e.g., Elasticsearch).
- Utilize Dev Ops tools like Git Lab 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.
- Education:
Bachelor's Degree with 8+ years of relevant experience or Master's Degree with 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.
- Familiarity with biometric systems and SDKs.
- Experience with containerization (e.g., Docker) and Dev Ops tools.
- Experience with AWS cloud-based architecture and services like Lambda.
- Experience with GPU for processing using CUDA, PyTorch, etc.
- Knowledge of Graph
QL, 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.
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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