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DevOps Engineer na None

None · Bethesda, Estados Unidos Da América · Onsite

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Job Description

  • 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.

Required Skills

  • 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.

Desired Skills

  • 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
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