Senior Level Software EngineerCaptivation 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.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. citizenMinimum 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 complexityNine (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 administrationRecent hands-on software development experience using Python, with a strong understanding of modern software engineering practices and frameworksExperience with containerization technologies, such as Docker, Podman, and containers, for application packaging, deployment, and lifecycle managementExperience designing, authoring, and deploying Helm charts to manage Kubernetes-based applications and servicesExperience developing, testing, deploying, and supporting containerized applications in production environmentsExperience creating, configuring, and managing Kubernetes resources, including Deployments, Services, ConfigMaps, Secrets, Ingresses, and OperatorsWorking knowledge of Generative SI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, embedding models, and vector databasesExperience implementing and maintaining CI/CD pipelines using tools such as GitLab CI/CD, Flux CD, GitLab Runners or similar toolsExperience leveraging observability, metrics, logging, and monitoring solutions including Prometheus and GrafanaProficiency with Git-based source control workflows, including branching strategies, code reviews, pull/merge requests, and collaborative development practicesUnderstanding of software development lifecycle (SDLC) best practices, including automated testing, security scanning, code quality analysis, and DevSecOps principlesDesired Skills:Familiar with developing, deploying, troubleshooting, and sustaining mission applications in an AWS Cloud environmentExperience with the Atlassian suite of tools including Confluence and JiraExperience working with, and debugging, GPU-enabled applicationsExperience 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 applicationsExperience with SQL, Elasticsearch, and Vector databasesKnowledge 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.Benefits:Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)Up to 20% 401k contribution (No Matching Required and Vested from Day 1)Above Market Hourly Rates$3,600 HSA Contribution6 Weeks Paid Time OffCompany Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
