VG Software Engineer 2

Probity; Chantilly (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Probity in Chantilly, VA is seeking a software engineer with an active Top Secret/SCI clearance with polygraph to design, develop, and integrate advanced search and AI-powered capabilities.

You will participate in Lean-Agile scrums, collaborate with security, operations, and engineering teams, and build SPAs with React, RESTful APIs with Node.js, and Elasticsearch-powered search/RAG pipelines.

Qualifications

• Lean Agile development experience in a modern product team.
• Experience building or integrating LLM-based solutions (RAG/semantic search).
• Translating customer and system requirements into design artifacts.

Responsibilities

• Participate in Lean Agile scrums, sprints and grooming sessions.
• Collaborate with security, operations, engineering, testing teams.
• Design, develop and modify software systems.
• Document and track vendor software roadmaps and patches.
• Unit test code and ensure quality across implementations.
• Design and implement scalable search and retrieval via Elasticsearch.
• Develop and integrate LLM-powered capabilities including RAG pipelines.

Skills

Lean Agile development

LLM-based solutions (RAG)

Detailed design deliverables

Requirements-to-design translation

React SPA development

RESTful APIs with Node.js/Express

Jest/Karma testing

DevOps tools: Git/Jenkins

Elasticsearch (indexing, querying)

Data pipelines for search/RAG

Tools

React

Node.js

Express

Elasticsearch

Jest

Jenkins

Nexus

Job description

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 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).