DevOps Software Engineer

Leidos•Bethesda, MD

21h•Hybrid

About The Position

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path. Leidos has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include an enterprise AFEM (Automated Facial Extraction and Matching) capability. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. 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. You will work closely with the team on the following key tasks : 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 Participate in test, staging and production deployment. 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 Develop and integrate Docker containers to be deployed to Kubernetes Monitor automated system integration tests to identify failed modules and components Manage individual project priorities, deliverables, and deadlines. Update project documentation for each release Provide tasking and time estimates for each Program Increment Foster an environment of collaboration with the different team members with the goal of providing quality service and product to our customers

Requirements

Typically requires Bachelor’s Degree and 8+ years of prior relevant experience or Masters with 6+ years of prior relevant experience. Additional years of experience maybe substituted for a degree.
Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain Poly
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
Experience with Agile practices
Hands-on development and/or scripting experience, especially Python and Bash in Linux environment
Proficiency with Linux server management and developing tools optimized for a Linux or cross-platform operation environment
Familiarity and experience creating, deploying, and maintaining service worker and manager nodes/pods in a Kubernetes environment (kubectl)
Experience leveraging CUDA, PyTorch, or other services to deploy containerized processing on GPUs
Understanding of application-level security.
Knowledge of logging and log analysis systems
Proficiency in C# programming, with the ability to understand, maintain, and contribute to applications built on these languages and their respective frameworks.
Experience with creating and managing microservices.
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

Nice To Haves

Familiarity with biometric systems and biometric SDKs.
Familiarity with Caliburn.Micro XAML framework.
Understanding or Experience with ANSI/NIST ITL and DoD Electronic Biometric Transmission Specification (EBTS).
Active Security+ certification
Active CE certification
Ability to obtain Privileged User Account (PUA) certification by the Government
GraphQL Service
Apache NiFi
Experience with systems at scale
Kafka or other message passing systems
Experience with AWS cloud-based architecture, services (Lambda, etc.), and software development
Experience with Artifactory
Experience of a production/enterprise system
Appian low-code application development platform
Experience with any of the following technologies: GPU-based Kubernetes SALT for deployment automation Elasticsearch, Kibana, and Logstash
#NMECDTP-Leidos

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
Participate in test, staging and production deployment.
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
Develop and integrate Docker containers to be deployed to Kubernetes
Monitor automated system integration tests to identify failed modules and components
Manage individual project priorities, deliverables, and deadlines.
Update project documentation for each release
Provide tasking and time estimates for each Program Increment
Foster an environment of collaboration with the different team members with the goal of providing quality service and product to our customers