Description

Captivation Software is looking for a senior level software engineer who shall design, develop, deploy, and support solutions within a high-performance computing (HPC) Linux environment. The successful candidate will have hands-on experience with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications. Candidates must be proficient in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development, with the ability to deliver scalable, production-ready SI solutions in mission-critical environments.

Requirements

Security Clearance:

• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen

Minimum Qualifications:

• Master's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
• Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
• Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Required Skills:

• Proven experience working in Linux environments, including advanced use of the Linux command-line interface (CLI) for development, troubleshooting, and system administration
• Recent hands-on software development experience using Python, with a strong understanding of modern software engineering practices and frameworks
• Experience with containerization technologies, such as Docker, Podman, and containers, for application packaging, deployment, and lifecycle management
• Experience designing, authoring, and deploying Helm charts to manage Kubernetes-based applications and services
• Experience developing, testing, deploying, and supporting containerized applications in production environments
• Experience creating, configuring, and managing Kubernetes resources, including Deployments, Services, ConfigMaps, Secrets, Ingresses, and Operators
• Working knowledge of Generative SI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, embedding models, and vector databases
• Experience implementing and maintaining CI/CD pipelines using tools such as GitLab CI/CD, Flux CD, GitLab Runners or similar tools
• Experience leveraging observability, metrics, logging, and monitoring solutions including Prometheus and Grafana
• Proficiency with Git-based source control workflows, including branching strategies, code reviews, pull/merge requests, and collaborative development practices
• Understanding of software development lifecycle (SDLC) best practices, including automated testing, security scanning, code quality analysis, and DevSecOps principles

Desired Skills:

• Familiar with developing, deploying, troubleshooting, and sustaining mission applications in an AWS Cloud environment
• Experience with the Atlassian suite of tools including Confluence and Jira
• Experience working with, and debugging, GPU-enabled applications
• Experience using a machine-learning framework (PyTorch, TensorFlow, etc)
• Experience with other ML pipelines/frameworks like KubeFlow, NeMo, PyTorch Lightning, etc.
• Experience working with and debugging GPU-enabled applications
• Experience with SQL, Elasticsearch, and Vector databases
• Knowledge of SI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment (e.g. Ray)

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.