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Software Engineer - Senior - FULLY CLEARED with POLYGRAPH REQUIRED

cti-md · Fort Meade, Maryland, United States

Software DevelopmentSenior LevelQuick applycontract2 days ago

About The Role

  • Terraform, Ansible, Infrastructure as Code (IaC), DevOps, Kubernetes, Docker, Pen Testing, Splunk, Nutanix, Linux, Windows
  • Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.
  • https://jobs.lever.co/cti-md/ea7ca87d-0a4a-43b2-af62-1c9bf3379a55

Required

  • Must be a US Citizen.
  • Must have TS/SCI clearance w/ active polygraph.
  • Eight (08) years of direct/relevant experience.
  • Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
  • Supports the Technology Trending Solutions mission, leading the design, development, and deployment of mission-critical AI and analytics solutions within a highly governed environment.
  • Experience implementing analytic governance (e.g., AVG) and AI governance frameworks (e.g., AAA), and can ensure all models, data, and workflows are compliant, auditable, and aligned with customer and enterprise policy.
  • Integrate advanced AI capabilities through APIs such as OpenAI and AWS Bedrock, and build intuitive front-end experiences using technologies like EX, AWS Amplify, and React.
  • Hands-on expertise with analytic development environments and cloud-native platforms (e.g., GMLearn, Container Yard, AWS SageMaker, AWS EKS), as well as strong agile delivery skills using Scrum or Kanban and tools such as Jira and Confluence.
  • Must be highly proficient with modern version control and model/code management using Git, GitLab, Hugging Face, Bailo (or similar), and demonstrate a proven track record of driving AI solutions from concept through governed production deployment in sensitive, mission-focused environments.
  • Collaborate closely with customers to build AI workflows and develop analytics based off artifacts to use AI to flag data of interest and summarize.
  • Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery.
  • Proficiency with object-oriented languages (Python and Java) and experience with PySpark, Jupyter Notebooks, Kubernetes, docker, Elasticsearch, GHOSTMACHINE, and Query Time Analytics.

These Qualifications Would be Nice to Have

  • Knowledge of customer corporate tools and data repositories.​

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