DevOps Software Engineer

Overview

Description

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.

• Work in a Dev Sec Ops  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.

• 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 may be 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 Dev Ops 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 Postgre
  
  SQL 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.

• 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.
• Graph
  
  QL 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…