About The Position

This engineer will provide DevSecOps approach to delivering Kubernetes infrastructures for the integration of applications including support of application developers for execution of cutting edge solutions across unclassified, classified, air-gapped, cloud, etc. With the proliferation of containerized solutions and highly visible efforts that this team supports for solutioning and operational support, this person is required to help deliver and enable a more focused assignment of cutting edge solutions. Dependent on location, some travel will be required for the hands-on work. Key Responsibilities:

Requirements

  • Currently holds a secret clearance with potential to obtain a top secret
  • Linux SME for a minimum of 3 years
  • Experience with Kubernetes infrastructure and deployment
  • Experience with Python or Java or .NET
  • Experience with cloud web services such as Azure or AWS
  • Located near a major Lockheed Martin facility with classified connectivity
  • Some Travel Required

Nice To Haves

  • Familiarity integrating DevOps tools into end to end CI/CD pipelines
  • Full Stack Development experience utilizing Dev Ops practices across cloud and on-premise solutions
  • Bachelor’s degree in software, engineering, or equivalent technical discipline
  • Familiarity with AI/ML principles, SDKs, and API utilization across multiple platforms
  • Ability to operate in high pressure customer facing environment with multiple priorities
  • Employing best practices around AI/ML for data and tenets plus maintenance of models
  • Certifications in Cisco, Azure, AWS, Linux or other technical certifications are a plus
  • Ability to obtain a TS/SCI Clearance desired

Responsibilities

  • Collaborate with cross-functional teams to ensure end-to-end networking solutions meet program requirements
  • Deploy, configure, and maintain cloud-based infrastructure (compute, networking, etc) and Kubernetes managed services
  • Containerized application support within high pressure situations and many demands of the customer
  • Ability to manage GitOps deployments
  • Design, test, and implement Kubernetes architectures within edge and air-gapped environments
  • Perform full stack engineering, including platform support, user software support, and AI solutions

Benefits

  • Medical
  • Dental
  • Vision
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • EAP
  • Education Assistance
  • Parental Leave
  • Paid time off
  • Holidays
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