Software Engineer; SWE), Level 1
Job in
Dundalk, Baltimore City, Maryland, 21222, USA
Listed on 2026-07-19
Listing for:
Dover Networks LLC
Full Time
position Listed on 2026-07-19
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, DevOps
Job Description & How to Apply Below
Overview
Requires Top Secret/SCI with Full Scope Poly
Salary Range: $163k-$178k per year with an additional $41k-$44k in immediately vested company 401(k) contributions
Description: You will act as a general-purpose Software Engineer and Data Analyst for fast-paced mission focused team where you will design, develop, and integrate solutions enabling a high priority Operations customer. You will work closely with Analysts, Operators, and other Software Engineers to integrate AI/ML technologies and develop rapid prototypes supporting the mission.
Responsibilities- Elicit requirements from stakeholders and determine the applicability of Artificial Intelligence and Machine Learning solutions.
- Develop automated analysis and triage across various collection techniques.
- Integrate capabilities into existing platforms and SDKs.
- Build scripts and user interfaces to convert and normalize data.
- Automate tasking and collection by extending the existing platform with new tools or technologies.
- Experience with platforms, machine learning, and AI tooling.
- Production-grade software development experience in Python or JavaScript.
- Experience deploying and managing production services in a fast-paced environment.
- Service containerization and deployment with Docker/Kubernetes.
- Familiarity with Git, and CI/CD pipelines
- Atlassian Tools (Jira, Confluence).
- Experience developing with agentic AI tooling (e.g., Claude Code, Codex)
- Experience with additional programming languages (Java,
C). - Experience prototyping web applications with JavaScript frameworks (React, Vue).
- Analyzing cyber security-related data sets (Network Traffic, OS events).
- Knowledge of end-to-end SIGINT collection and analysis systems.
- Experience with production CNO capabilities and operations.
3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
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