Peraton - Chantilly, VA

posted about 1 month ago

Full-time - Mid Level
Chantilly, VA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Peraton is seeking a talented Software Engineer to support the integration of machine learning models into an advanced ground research and development environment. This role involves collaborating with external stakeholders to deploy, optimize, and maintain machine learning solutions within a high-performance computing infrastructure. The ideal candidate will have experience with software development, model deployment, and performance tuning, along with a strong understanding of machine learning frameworks and algorithms. This is a unique opportunity to contribute to cutting-edge research and drive innovation in a dynamic and fast-paced research and development (R&D) environment. In this position, you will provide TS/SCI machine learning model integration into R&D environments. You will be responsible for installing, configuring, and maintaining Linux servers while ensuring system performance, security, and stability. Additionally, you will design, implement, and manage containerized applications using AWS Cloud Containerization services (e.g., ECS, EKS) and Docker, developing CI/CD pipelines for automated deployment and scaling. You will work closely with cross-functional teams to understand project requirements and deliver robust solutions, documenting system configurations, procedures, and best practices.

Responsibilities

  • Provide TS/SCI machine learning model integration into R&D environments
  • Install, configure, and maintain Linux servers while ensuring system performance, security, and stability
  • Design, implement, and manage containerized applications using AWS Cloud Containerization services (e.g., ECS, EKS) and Docker
  • Develop CI/CD pipelines for automated deployment and scaling
  • Work closely with cross-functional teams to understand project requirements and deliver robust solutions
  • Document system configurations, procedures, and best practices

Requirements

  • Associates degree and seven (7+) years of relevant experience; OR Bachelors degree with five (5+) years of relevant experience; OR Masters degree with three (3+) years of relevant experience
  • Active TS/SCI with poly clearance
  • Active CompTIA Security+ certification
  • Experience developing software on Unix-based operating systems such as RedHat Enterprise Linux
  • Experience using AWS as a developer
  • Expertise implementing machine learning models into cloud native environments
  • Strong proficiency in containerization technologies, including AWS Cloud Containerization services and Docker
  • Experience with CI/CD tools and practices
  • Solid understanding of networking, security, and system architecture

Nice-to-haves

  • Experience in the Intelligence Community with systems engineering focus
  • Experience integrating machine learning into AWS environments
  • Familiarity integrating machine learning models that improve compute resource management, data transfer latency, low-to-high data transfers and API management
  • Familiarity with Kubernetes and other container orchestration platforms
  • Experience with infrastructure as code tools (e.g., Terraform, CloudFormation)
  • Knowledge of scripting languages (e.g., Python, Bash)
  • Familiarity with Palantir products (Foundry, Apollo)

Benefits

  • Heavily subsidized employee benefits coverage for you and your dependents
  • 25 days of PTO accrued annually up to a generous PTO cap
  • Eligible to participate in an attractive bonus plan
  • Comprehensive medical plans
  • Tuition reimbursement and assistance
  • Fertility treatment support
  • Paid parental leave
  • Life & disability insurance
  • Career development opportunities
  • Medical, dental, & vision care
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