HPC - Senior Software Engineer - Linux, Python, Kubernetes at Erias Ventures

Job description

• 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 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 we’ll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: jobs@eriasventures.com To learn more about our company visit our webpage or LinkedIn . Apply Now Share This Job

Requirements

Must-haves

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.
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.
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
Above Market Hourly Pay
Spot Bonuses for Assisting with Business Development and Company Growth

Nice-to-haves

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)

Application prep

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Keywords to mirror

llmpythonkubernetesci/cddockerawsjiramlsql

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Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Wellness

Professional Development