DevSecOps Engineer

Arlington, VA

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Dark Wolf Solutions
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Posted 1 month ago

Dark Wolf Solutions is seeking a DevSecOps Engineer who will work as part of a 15-20 person team to deploy a modern AI/ML platform for use by the Joint Artificial Intelligence Center (JAIC). Main responsibilities include the design, implementation, and maintenance of multiple AI/ML-based software factories which compose the overall platform. Each factory will be implemented using IaC/CaC practices to automate provisioning of cloud infrastructure, services, and tools to provide an environment well suited for development, testing, and execution of AI/ML analytics. Candidates should have experience with deploying and configuring Kubernetes distributions such as Red Hat OpenShift on AWS, GCP, or Azure.

Required Qualifications:

  • 2+ years of experience implementing DevSecOps platforms on provider managed IaaS for large organizations
  • 2+ years working in AWS, GCP, or Azure cloud environments
  • 1+ years experience deploying and configuring Kubernetes platforms such as Red Hat OpenShift
  • Experience using IaC and CaC to automate provisioning and management of cloud infrastructure and services
  • Proficiency working in a Linux shell and writing Bash or Python scripts
  • Knowledge of RMF and previous experience going through the Assessment and Authorization process to attain an Authorization to Operate (ATO)
  • Experience with DevSecOps processes and working within an agile, highly responsive team to meet customer and mission needs
  • Knowledge of container hardening practices and experience with artifact repositories
  • Demonstrated experience working with CI/CD pipelines and cybersecurity tools such as Fortify, OWASP DC, SonarQube, or Checkmarx
  • Previous experience using a Git based repository
  • Ability to collaborate effectively with partner disciplines (Software Development, Security, and Operations)
  • Ability to work independently and autonomously while delivering impactful outcomes and results
  • HS Diploma
  • US Citizenship and an active Secret security clearance

Desired Qualifications:

  • Bachelor's degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience
  • A cloud certification in AWS, Azure, or GCP
  • Previous experience supporting the DoD
  • Experience with Kubernetes service meshes
  • Knowledge of AI/ML concepts and tools
 
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Job tags: AI Analytics Artificial intelligence AWS Azure Clearance IaaS Linux Python Security Clearance