Software Engineer 3 (IDN - 202)

SageCor Solutions • Annapolis Junction, MD

10d

About The Position

SageCor Solutions is seeking a Software Engineer 3 to design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. The role focuses on delivering scalable, production-ready SI solutions in mission-critical environments using Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications. The successful candidate must be proficient in Python, Kubernetes, Helm, CI/CD automation, and secure AI system development. An active TS/SCI with Polygraph is required.

Candidates must meet one of the following qualification paths: a master’s degree in computer science or a related discipline from an accredited college or university plus five years of SWE experience on programs and contracts of similar scope, type, and complexity; a bachelor’s degree in computer science or a related discipline from an accredited college or university plus seven years of such experience; or nine years of such experience without a stated degree requirement.

Requirements

• Active TS/SCI with Polygraph.
• Meet one of the stated SWE-3 qualification paths: a master’s degree in computer science or a related discipline plus five years of relevant SWE experience; a bachelor’s degree in computer science or a related discipline plus seven years of relevant SWE experience; or nine years of relevant SWE experience.
• Proven experience in Linux environments, including advanced Linux command-line use for development, troubleshooting, and system administration.
• Recent hands-on software development experience using Python and 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 AI technologies, including LLMs, 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 with 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.
• Understanding of SDLC best practices, including automated testing, security scanning, code quality analysis, and DevSecOps principles.

Nice To Haves

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

Responsibilities

• Design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions in an HPC Linux environment.
• Develop, test, deploy, and support containerized applications in production environments.
• Create, configure, and manage Kubernetes resources, including Deployments, Services, ConfigMaps, Secrets, Ingresses, and Operators.
• Design, author, and deploy Helm charts for Kubernetes-based applications and services.
• Implement and maintain CI/CD pipelines.
• Apply software development lifecycle practices, including automated testing, security scanning, code quality analysis, and DevSecOps principles.

What This Job Offers

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