Senior Software Engineer

Leidos•Bethesda, MD

3d•Hybrid

About The Position

Leidos is seeking a TS/SCI cleared Senior Software Engineer to join their mission-driven team. This role supports the 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. The company believes in empowering employees through training, teamwork, and exposure to challenging technical work. As part of the team, employees will have the opportunity to accelerate their career path while contributing to impactful projects that make a difference. The company offers flexible work arrangements (remote and on-site in Bethesda, MD), a collaborative environment that values innovation and professional development, and opportunities to work on mission-focused solutions with cutting-edge technologies.

Requirements

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.
Active Top Secret/SCI clearance with the ability to obtain and maintain Poly.
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.

Nice To Haves

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.

Responsibilities

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.
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.