Software Engineer

Description

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 DIA-NEMC 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 middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables.

You will work closely with the team on the following key tasks

• 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
• 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
• Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers

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

• Requires Bachelors Degree and 8-12 years of prior relevant experience or Masters with 6-10 years of prior relevant experience
• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
• 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
• At least 8 years of experience with the following:
  • Python
  • 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
• Experience with AWS cloud-based architecture, services (Lambda, etc.), and software development
• Experience with Artifactory
• 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:

• 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 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

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline only and 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.