Senior Software Engineer - Machine Learning

$135,000 - $216,000/Yr

Peraton - Chantilly, VA

Full-time - Senior

Chantilly, VA

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

About the position

Peraton is seeking a talented Senior 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.

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 14+ years of relevant experience; OR Bachelors degree with 12+ years of relevant experience; OR Masters degree with 10+ years of relevant experience; OR Ph.D. with seven (7+) years of relevant experience.
• Four (4) additional years of experience will be considered in lieu of Bachelors degree.
• This position requires an active TS/SCI with poly. The candidate must maintain the 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 environment 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.