HPC - Senior Software Engineer - Linux, Python, Kubernetes

Erias Ventures, LLC

Maryland

Vor Ort

USD 229.000 - 251.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Above Market Hourly Pay
11% Roth or Traditional 401k with vest
Spot Bonuses for BD & Growth
Professional Development Bonuses
Medical Coverage (Company subsidized)
Vision & Dental Coverage (Company Paid
Long Term Disability & Life Insurance

Zusammenfassung

Erias Ventures is seeking a Senior Software Engineer to design, develop, and deploy HPC Linux-based RAG solutions. You will work with LLMs, embedding models, and containerized apps, delivering secure, scalable software in mission-critical environments.

Candidates must have strong Python and Kubernetes skills, experience with Helm and CI/CD automation, and a current Top-Secret/SCI with polygraph clearance not sponsorable. Annapolis Junction, MD on-site position with growth opportunities.

Qualifikationen

  • Proven Linux development and administration experience.
  • Hands-on Python development with modern software practices.
  • Experience with containerization and Kubernetes deployments.
  • CI/CD pipeline design and implementation using GitLab or similar.

Aufgaben

  • Design, develop, deploy, and support HPC/LINUX-based RAG solutions.
  • Build and manage containerized services and Helm charts for Kubernetes.
  • Implement secure software development and DevSecOps practices.
  • Collaborate across teams to deliver production-ready SI solutions.

Kenntnisse

Linux CLI
Python
Kubernetes
CI/CD practices
LLMs / RAG
Git workflows
DevSecOps
Monitoring/Observability

Ausbildung

Master's degree in Computer Science
Bachelor's degree in Computer Science

Tools

Docker
Podman
containerd
Helm
GitLab CI/CD
Flux CD
Prometheus
Grafana
NVIDIA Triton
PyTorch / TensorFlow

Jobbeschreibung

HPC - Senior Software Engineer - Linux, Python, Kubernetes

Annapolis Junction, MD

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 technicallystrong 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 will 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.

  • 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 subsidizedMedical Coverage
  • 100% Company PaidVision andDental Coverage
  • 100% Company PaidLong Term Disability, Short Term Disability, andGroup Life Insurance
  • MonthlyWellness Reimbursement
Happiness Benefits
  • Paid Time Off withFlexible Work Schedules andBirthday Off
  • Amazon Prime Membership andMonthlyInternetReimbursement
  • Technology andProductivity Allowance for Equipment and Supplies
  • Morale Building andCompany Events to Celebrate our Successes and Build our Community
  • Onboarding and AnnualSwag
  • 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.

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