Software Engineer 3 - Linux/Python/Docker/Kubernetes/LLM/CI/CD/Grafana

Captivation Software • Annapolis Junction, MD

1d • $130,000 - $270,000

About The Position

Captivation Software is seeking a senior-level software engineer to design, develop, deploy, and support solutions in a high-performance computing (HPC) Linux environment. The engineer will deliver scalable, production-ready SI solutions for mission-critical environments and work with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized applications. This position supports the mission to protect the country. Direct hires only; candidates from third-party staffing or recruiting firms will not be considered.

Requirements

• Must be a U.S. citizen and currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph.
• One of the following education and experience combinations: 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 SWE experience; or nine years of such 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 and Podman 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 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 practices.
• 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 solutions within an HPC Linux environment.
• Develop, test, deploy, and support containerized applications in production environments.
• Create, configure, and manage Kubernetes resources.
• Design, author, and deploy Helm charts for Kubernetes-based applications and services.
• Implement and maintain CI/CD pipelines.
• Use observability, metrics, logging, and monitoring solutions to support applications.
• Develop scalable, production-ready SI solutions for mission-critical environments.

Benefits

• 401(k) contribution of up to 20%, with no matching required and vesting from day one.
• $3,600 HSA contribution.
• Six weeks of paid time off.
• Company-paid employee medical, dental, and vision insurance.
• Company-paid life insurance, short-term and long-term disability, and AD&D insurance.

What This Job Offers

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