DevOps Engineer

4 weeks ago

Bethesda, Maryland, United States Scout Solutions Inc Defunct Full time
Job Summary

We are seeking a highly skilled DevOps Engineer to join our team at Scout Solutions Inc Defunct. As a key member of our engineering team, you will play a vital role in designing, deploying, and maintaining a comprehensive containerized microservices architecture.

Key Responsibilities:

  • 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.

Requirements:

  • 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 security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance.
  • Comfortable working in Linux.
  • Container or container orchestration experience, i.e. Docker, Docker swarm, Kubernetes, etc.
  • Development experience, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc.
  • Demonstrated ability to participate in cross-functional planning, coordination, and task execution.

Preferred Qualifications:

  • Experience with systems at scale.
  • Experience/knowledge of key Agile processes and techniques.
  • 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.
  • Elasticsearch, Kibana, and Logstash, specifically admin experience.
  • Helm and Helmfile.

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