HPC - Senior Software Engineer - Linux, Python, Kubernetes

United States | Oct. 26, 2026

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Company: Erias Ventures

Country: United States

Salary: $229,000 - $251,000

Type: Onsite

Employment: Full Time

Description: Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

Description
We are seeking a Software Engineer who shall design, develop, deploy, and support Retrieval-Augmented Generation (RAG) 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.

Clearance
A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience
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 or 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 or 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 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:

• 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)

Benefits
Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $229,000 - $251,000.

Wealth Benefits:

• Above Market Hourly Pay 
• 11% Roth or

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