Master's degree in Computer Science or related field with 5 years of relevant experience, or Bachelor's degree with 7 years, or 9 years of experience in similar roles
Proven experience in Linux environments and advanced command-line usage
Hands-on software development experience in Python with modern engineering practices
Experience with containerization technologies like Docker and Kubernetes
Familiarity with Generative SI technologies and RAG architectures
Experience with CI/CD pipelines and observability tools
Responsibilities
Design and develop Retrieval-Augmented Generation (RAG) solutions
Deploy and support scalable applications in a high-performance computing environment
Manage containerized applications and their lifecycle
Create and configure Kubernetes resources for production environments
Implement CI/CD pipelines for efficient software delivery
Utilize observability tools for monitoring and logging
Collaborate with cross-functional teams to deliver mission-critical solutions
Benefits
Comprehensive health and wellness programs
Flexible work arrangements
Professional development opportunities
Access to cutting-edge technology and tools
Supportive team culture focused on innovation
Full Job Description
In this role, you will design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. The work spans Large Language Models, LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications, delivering scalable, production-ready solutions for a mission-critical customer.
Qualifications:
Active TS/SCI + FS Polygraph
Master's degree in Computer Science or related discipline from an accredited college or university, plus 5 years of experience as a SWE-3, in programs and contracts of similar scope, type, and complexity OR
Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus 7 years of experience as a SWE-3, in programs and contracts of similar scope, type, and complexity OR
9 years of experience as a SWE-3, in programs and contracts of similar scope, type, and complexity.
Required Skills + Experience:
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 containerd, 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 + Experience
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 with SQL, Elasticsearch, and Vector databases
Knowledge of SI inferencing solutions such as Nvidia NIM/TRITON, vLLM, and direct deployment (e.g. Ray)
About Reflexive Concepts
Reflexive Concepts Careers
Joining Reflexive Concepts presents an unparalleled opportunity to become part of a leading team of professionals dedicated to innovation and technology. This is a pivotal time to engage with a company that values growth, leadership, and diversity in its workforce.
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