Principal SI Platform Engineer

Nyla Technology Solutions • Annapolis Junction, MD

1d • $199,000 - $235,000

About The Position

The Principal SI Platform Engineer designs, develops, deploys, and supports Retrieval-Augmented Generation (RAG) solutions in a high-performance computing Linux environment. The role works with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized architectures. It requires expertise in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development to deliver scalable, production-ready solutions in mission-critical environments. An active TS/SCI clearance with a polygraph is required.

The annual base salary range is $199,000–$235,000 USD. The range does not include discretionary bonus compensation or the company's comprehensive benefits package. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

• Active TS/SCI security clearance with a polygraph.
• Proven experience working in Linux environments, including advanced command-line use for software development, troubleshooting, and system administration.
• Recent hands-on Python software development experience and strong knowledge of software engineering design patterns and frameworks.
• Working knowledge of Generative SI technologies, including LLMs, RAG architectures, embedding models, and vector databases.
• Experience with Docker, Podman, or containerd for application packaging, deployment, and lifecycle management in production environments.
• Hands-on experience creating, configuring, and managing Kubernetes resources, including Deployments, Services, ConfigMaps, Secrets, Ingresses, and Operators, and authoring Helm charts.
• Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Flux CD, GitLab Runners, or equivalent tools.
• Experience deploying and using metrics, logging, and monitoring platforms, including Prometheus and Grafana.
• Understanding of SDLC best practices, automated testing, security scanning, code quality analysis, and DevSecOps principles.
• Proficiency with Git-based workflows, including branching models, code reviews, and pull or merge requests.
• One of the following education and experience combinations: bachelor's degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline plus 7 or more years of specialized data analytics or financial intelligence experience; master's degree in a related field plus 5 or more years of specialized analytical experience; or high school diploma/GED plus 9 or more years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

Nice To Haves

• Familiarity with developing, deploying, troubleshooting, and sustaining mission applications in AWS Cloud environments.
• Experience developing, running, and debugging GPU-enabled applications and hardware workloads.
• Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow and ML pipelines or platforms such as KubeFlow, NeMo, or PyTorch Lightning.
• Experience with SQL databases, Elasticsearch, and enterprise vector databases.
• Knowledge of high-performance SI inferencing and serving solutions such as vLLM, Nvidia NIM, or Triton Inference Server.
• Experience using Atlassian tools such as Jira and Confluence for workflow management and documentation.

Responsibilities

• Design, develop, deploy, and support RAG solutions in an HPC Linux environment.
• Work with LLMs, LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized architectures.
• Deliver scalable, production-ready solutions for mission-critical environments.
• Develop, deploy, troubleshoot, and sustain mission applications in AWS environments (desired).
• Develop, run, and debug GPU-enabled applications and hardware workloads (desired).

What This Job Offers

• Job Type: Full-time
• Career Level: Principal