SENIOR SOFTWARE ENGINEER - MACHINE LEARNING WITH SECURITY CLEARANCE

$112,000 - $179,000/Yr

Peraton - Chantilly, VA

Full-time - Mid Level

Chantilly, VA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

Peraton is seeking a Senior Software Engineer to support the integration of machine learning models into an advanced research and development environment. This role focuses on collaborating with external stakeholders to deploy, optimize, and maintain machine learning solutions within a high-performance computing infrastructure, contributing to cutting-edge research and innovation.

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, developing CI/CD pipelines for automated deployment and scaling
• Work closely with cross-functional teams to understand project requirements and deliver robust solutions, documenting system configurations, procedures, and best practices.

Requirements

• Associates degree and ten (10+) years of relevant experience; OR Bachelors degree with eight (8+) years of relevant experience; OR Masters degree with six (6+) years of relevant experience
• Active TS/SCI with polygraph clearance
• Active CompTIA Security+ certification
• Experience developing software on Unix-based operating systems such as RedHat Enterprise Linux and using AWS as a developer
• Expertise implementing machine learning models into cloud native environments and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others
• 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
• Paid Time-Off and Holidays
• Retirement
• Life & Disability Insurance
• Career Development
• Tuition Assistance and Student Loan Financing
• Paid Parental Leave
• Medical, Dental, & Vision Care