Senior Software Engineer – Inference (SWE3) [D.26.0205] with Security Clearance

Dover Networks LLC; Capitol Heights (MD); Presencial; USD 260 000 - 285 000; Tempo integral

Resumo da oferta

Dover Networks LLC is seeking a senior software engineer to build and maintain AI infrastructure, ensuring access to high-quality LLMs across the inference stack. You will work on in-house services and collaborate across teams to support AI-enabled applications.

The role emphasizes turning loosely defined problems into working solutions, mentoring engineers, and adapting to evolving mission needs with strong leadership and communication skills.

Qualificações

• Hold TS/SCI clearance with Full Scope Polygraph; no sponsorship provided.
• 13+ years of engineering experience or 4 extra years in lieu of a B.S. in a technical discipline.
• Proficiency with Python and modern programming languages; strong cloud and containerization skills.

Responsabilidades

• Lead evaluation, configuration, and deployment of inference models for users.
• Translate high-level goals into engineering outcomes.
• Mentor engineers and advance development standards.
• Develop in-house services to ensure high-quality inference service.
• Collaborate with teams to build infrastructure for LLM-powered tools.

Conhecimentos

Python

CI/CD

Argo CD

Kubernetes

Helm

AWS

Docker

Site Reliability Engineering

Observability (Grafana/Prometheus)

Leadership & mentoring

Formação académica

B.S. in a technical discipline

Ferramentas

vLLM

LiteLLM

Descrição da oferta de emprego

Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying. We are not sponsoring or processing clearances for this position. Candidates who are seeking to obtain a clearance do not meet the minimum requirements. Salary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions Description: Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a senior software engineer to support our AI infrastructure team. In this role, you'll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be ensuring access to the highest available quality LLMs to users throughout the inference software stack. Requirements shift quickly as mission needs evolve and new technologies emerge, so you'll keep sharpening your skills and learning to turn loosely defined problems into working solutions. Responsibilities:

• Lead the evaluation, configuration, and deployment of inference models for our users.
• Translate high-level stakeholder goals into engineering outcomes.
• Mentor engineers and grow development best practices and standards for the team.
• Develop in-house services and techniques to guarantee continual high-quality inference service for our customer.
• Engage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.
• Collaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.
• Skills Requirements: Experience with Python and/or other modern programming languages.
• Experience with Argo CD and/or other CI/CD frameworks.
• Experience with Kubernetes/Helm.
• Experience with AWS or other cloud service providers.
• Strong communication skills and ability to mentor other engineers.
• Excellent leadership and stakeholder management skills.
• Ability to balance hands-on engineering with leadership and coordination responsibilities.
• Nice to Haves: Experience with vLLM, LiteLLM, or similar inference-serving frameworks.
• Experience with other LLM hosting frameworks and practices.
• Experience supporting production software using Site Reliability Engineering (SRE) best practices.
• Experience with Elastic, Grafana/Prometheus, or other observability frameworks and practices.
• Experience with Docker and containerization.
• Experience in traffic shaping and quality-of-service engineering.
• Knowledge of and interest in hosting AI capabilities. YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.