Why this role stands out
This hybrid Software Engineer role offers significant growth and skill development opportunities, particularly in cutting-edge LLM and cloud technologies, within a reputable federal contractor. You'll thrive here if you have a strong background in Agile, React, Node.js, and Elasticsearch, and are eager to contribute to impactful projects alongside a collaborative team. Apply today to leverage your security clearance and advance your career in a dynamic environment.
Quick overview
Job description
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).
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