Software Engineer with Security Clearance

Job Description • Participate in all Lean Agile scrums, sprints and grooming sessions. • Consult and coordinate appropriately for problem resolution, task scheduling, new resource requirements, and task clarification. • Work in partnership with an integrated team of staff and contractors. • Understand the cloud environments, such as AWS or Azure. • Coordinate and collaborate with security, operations, engineering, testing and other teams to provide system information and technical support. • Design, develop and modify software systems. • Document and track vendor software roadmaps for software and patch version updates. • Unit test their software and perform code. • Design and implement scalable search and retrieval systems leveraging Elasticsearch. • Develop and integrate LLM-powered capabilities, including Retrieval-Augmented Generation (RAG) pipelines.

Required Skills • Demonstrated experience working in Lean Agile Development environment. • Demonstrated experience building or integrating LLM-based solutions, including RAG, semantic search, or AI-assisted retrieval systems. • Demonstrated experience developing detailed design and associated deliverables. • Demonstrated experience translating customer and system requirements into design. • Demonstrated experience designing system interfaces. • Demonstrated experience developing Single Page Applications using React (modern hooks-based architecture), HTML5, and CSS3. • Demonstrated hands-on experience developing RESTful APIs using Node.js and Express (or comparable modern backend frameworks). • Demonstrated hands-on experience with and troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL. • Demonstrated experience with testing platforms such as Jest or Karma. • Demonstrated hands-on experience working with DevOps tools such as Git, Jenkins, or Nexus. • Demonstrated hands-on experience with Elasticsearch (index design, querying, relevance tuning, and scaling). • Demonstrated experience designing or implementing data pipelines to support search and/or RAG workflows (e.g., ingestion, chunking, embeddings , vector search).

Desired Skills • Demonstrated recent experience with the Sponsor's Lean Agile methodology. • Experience evaluating, selecting, and integrating LLMs (e.g., OpenAI, open-source models) into enterprise applications. • Experience with vector databases, hybrid search (keyword + semantic), and relevance optimization. • Ability to lead or mentor teams in adopting search + AI/LLM best practices (strong preference for candidates who can elevate team capability, not just contribute individually).