DevOps Software Engineer

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

To be successful in this role you need these skills (required):

• Typically requires Bachelors 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

You will wow us even more if you have some of these skills:

• Familiarity with biometric systems and biometric SDKs.
• Familiarity with 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

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Original Posting:

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.