VG Software Engineer 2
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Summary
Designs, develops, and modifies software in a Lean Agile environment, building scalable Elasticsearch search systems and integrating LLM-powered capabilities like RAG pipelines, using React, Node.js/Express, and DevOps tooling. Requires an active Top Secret/SCI clearance with polygraph.
PLEASE NOTE: This position requires an ACTIVE Top Secret/SCI Clearance with Polygraph. To be considered for this position, you MUST have an ACTIVE Clearance Level of Top Secret/SCI with Polygraph
Position Code: 03-SO0709-1
KEY TASKS:
- 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 AND DEMONSTRATED EXPERIENCE:
- 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 technologies.
- 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).
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE:
- 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).