Job Description

Job Description

Description

Leidos has an exciting opening for you, our next TS/SCI cleared DevOps Software Engineer working with a dynamic team to design, develop and deploy a state-of-the-art technology stack supporting the DIA-NMEC( National Media Exploitation Center) DOMEX Technology Platform (DTP). Under this 10-year contract containing multiple Task Orders, we support the DOMEX Data Discovery Platform (D3P) Modernization program. You will have impact as part of a mission focused, solutions oriented, and adaptive team that values inclusion, 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.

As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack containerized microservices architecture as well as technical systems administration, installation, and configuration. You will participate in fostering a DevOps culture, building strong cross functional collaboration with systems engineering, architecture, development, security, operations, and integration teams, in a dynamic and fast paced environment. 

You will work closely with a multi-disciplinary team of developers, other software integrators and system administrators on the following key tasks:

• To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging
• Enhance, improve, and maintain CI/CD and DevOps scripts and processes to facilitate faster development, quicker error detection and resilient deployments
• Design, develop, and support scalable, redundant infrastructure to include physical and virtualized environments
• Use Helm to configure Kubernetes deployments to support new feature requirements.
• Collaborate with System Engineers to design solutions for new features and requirements
• Provide technical input to systems engineering documentation and diagrams/models working in coordination/collaboration with SE team members and Architect team
• Participate in Agile release planning, scrum of scrums, bug triage, design sessions and other meetings

You bring enthusiasm, the ability to work well with people from different disciplines with varying degrees of technical experience, and meet the following qualifications:

• BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering or related field. 6+ years of experience with Master’s degree.

• Must have an active Top Secret/ SCI security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance
• Knowledgeable in navigating Linux OS
• Experienced with container / container orchestration, specifically Kubernetes
• Skilled with CI/CD pipeline orchestration and the use of Gitlab
• Comfortable with Elastic Search, Logstash, Kibana
• Demonstrated ability to participate in cross-functional planning, coordination, and task execution

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

• Experience with systems at scale
• Experience/knowledge of key Agile processes and techniques
• Experience with development, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.
• Experience on a production/ enterprise system
• Experience with any of the following technologies:
  • Kafka or other message passing systems (AMQP, JMS)
  • Kubernetes monitoring, e.g., Prometheus/ Graphana
  • GPU-based Kubernetes
  • SALT for deployment automation
  • Helm and Helmfile
  • Nexus

#NMECDTP

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.

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