HPC - Senior Software Engineer - Linux, Python, Kubernetes

Erias Ventures, LLC

Annapolis (MD)

On-site

USD 229,000 - 251,000

Full time

11 days ago

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Benefits offered by this job

Above Market Hourly Pay
401k with immediate vesting
Bonuses for business development
Professional development bonuses

Job summary

Erias Ventures, LLC is seeking a Software Engineer to design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions within a high-performance computing Linux environment. You will work with Large Language Models, LLM orchestration frameworks, and knowledge retrieval systems, delivering containerized, scalable SI solutions in mission-critical settings.

The role requires a Top-Secret/SCI with polygraph clearance (within 7 years) and a strong background in Python, Kubernetes,

Qualifications

  • Proven experience in Linux environments with advanced CLI usage for development, troubleshooting, and admin tasks.
  • Hands-on Python development with modern software engineering practices and frameworks.
  • Experience with containerization technologies such as Docker, Podman, and containerd for packaging and deployment.
  • Designing, authoring, and deploying Helm charts to manage Kubernetes-based apps and services.
  • Experience building, testing, deploying, and supporting containerized applications in production.
  • Experience configuring Kubernetes resources (Deployments, Services, ConfigMaps, Secrets, Ingresses, Operators).
  • Working knowledge of Generative SI technologies, LLMs, RAG architectures, embeddings, and vector databases.
  • Experience implementing and maintaining CI/CD pipelines using GitLab CI/CD, Flux CD, GitLab Runners or similar tools.
  • Observability with Prometheus and Grafana; strong telemetry and monitoring practices.
  • Proficiency with Git workflows, code reviews, MR/PR processes, and collaborative development.
  • Understanding of SDLC best practices, automated testing, security scanning, code quality analysis, and DevSecOps.

Responsibilities

  • Design, develop, deploy, and support Retrieval-Augmented Generation (RAG) solutions in a high-performance Linux environment.
  • Work with LLM orchestration frameworks, knowledge retrieval systems, embeddings, and vector databases.
  • Deliver scalable, production-ready SI solutions with robust CI/CD and secure development practices.

Skills

Linux CLI
Python
Containerization
Kubernetes
Helm
CI/CD
Git
DevSecOps
Prometheus
Grafana
LLMs
RAG
Observability
Security scanning

Education

Master's degree in Computer Science or related discipline
Bachelor's degree in Computer Science or related discipline

Tools

Docker
Podman
containerd

Job 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 Traditional 401k with Immediate Vesting and Deposit
  • Spot Bonuses for Assisting with Business Development and Company Growth
  • Professional Development Bonuses for Certificates and Degrees
Health Benefits
  • Company subsidized Medical Coverage
  • 100% Company Paid Vision and Dental Coverage
  • 100% Company Paid Long Term Disability , Short Term Disability , and Group Life Insurance
  • Monthly Wellness Reimbursement
Happiness Benefits
  • Paid Time Off with Flexible Work Schedules and Birthday Off
  • Amazon Prime Membership and Monthly Internet Reimbursement
  • Technology and Productivity Allowance for Equipment and Supplies
  • Morale Building and Company Events to Celebrate our Successes and Build our Community
  • Onboarding and Annual Swag
  • Company Paid Professional Development and Training

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Referrals & Inquiries

Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire.

Not seeing the right position right now? Reach out to us, and well notify you as new contracts and opportunities become available!

Please send referrals and inquiries to:
jobs@eriasventures.com (mailto:jobs@eriasventures.com)

To learn more about our company visit our webpage (http://www.eriasventures.com/) or LinkedIn (https://www.linkedin.com/company/eriasventures/).

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