Leidos is seeking a TS/SCI cleared Software Engineer to support the DIA-NMEC DOMEX Technology Platform (DTP) contract, focusing on developing an enterprise Automated Facial Extraction and Matching (AFEM) capability. The role involves ensuring the availability and integration of biometric systems and data, requiring expertise in DevSecOps, large-scale data processing, and modern software development practices.
Requirements
- Experience with containerization, especially with Docker
- Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
- Experience with Python
- Experience with API Development
- Experience in Extraction, Transformation, and Load (ETL)
- Experience enterprise search capabilities (such as Elasticsearch) to solve Big Data challenges
- Experience with PostgreSQL and SQL server
Responsibilities
- 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
- 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
Other
- Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain Poly
- Strong verbal and written communication skills
- Enthusiastic with the ability to work well in a team and a self-starter who can work on their own
- Typically requires Bachelor’s Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience. Additional years of experience maybe substituted for a degree.
- 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.
