Cognitive AI Engineer (SE3) D.26.0228

Dover Networks LLC; Maryland; On-site; USD 256,000 - 280,000; Full time

Job summary

Dover Networks LLC is seeking a senior full-stack engineer with TS/SCI clearance to join a mission-critical infrastructure cognizance team in the United States. You will drive end-to-end feature delivery from concept to production, transforming complex data into actionable insights using AI to accelerate analysis and solution design.

Responsibilities include designing and maintaining full-stack applications, developing ETL workflows, ensuring scalable data ingestion, and collaborating with

Qualifications

• Active TS/SCI clearance with Full Scope Polygraph is required and no clearance sponsorship.
• Minimum 12 years of work experience in a relevant field or 4 additional years in place of a BS.
• Experience applying AI/ML tools to accelerate data analysis and engineering solutions.

Responsibilities

• Design, develop, and maintain full-stack applications (frontend and backend).
• Apply AI tools to accelerate analysis and prototype new solutions quickly.
• Develop ETL workflows to reconcile requested vs. realized infrastructure.
• Ensure scalable and reliable data ingestion and processing.
• Collaborate with full-stack engineers on integration and visualization of results.

Skills

Python

AI/ML experience

Kafka

Streaming analytics

Relational databases

Data science exposure

Education

B.S. in a technical discipline

Tools

Git & GitLab

ClickHouse

Jira

Confluence

Job description

Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying. We are not sponsoring or processing clearances for this position. Candidates who are seeking to obtain a clearance do not meet the minimum requirements.

Salary Range: $256k-$280k per year with an additional $64k-$70k in immediately vested company 401(k) contributions

Description: You will be part of a team responsible for delivering mission-critical infrastructure cognizance. The team’s application is used by subject matter experts to investigate, create, and iterate on best practices and deployment rules, and the team detects and surfaces cases where requested or provisioned infrastructure breaks those best practices and rules. Given the visibility and impact of this work, the team interacts with many stakeholders from across the organization and iterate as frequently as possible. You will drive end-to-end feature delivery from concept to production, transforming complex data into actionable insights and leveraging AI to accelerate analysis and solution design.

Responsibilities:

• Design, develop, and maintain full-stack applications (frontend and backend).
• Apply AI tools and techniques to accelerate analysis and prototype new solutions quickly.
• Develop ETL workflows to reconcile requested vs. realized infrastructure.
• Ensure scalable and reliable data ingestion and processing.
• Collaborate with full-stack engineers on integration and visualization of results.

Skills Requirements:

• Strong proficiency in Python.
• Demonstrated use of AI/ML tools to accelerate data analysis and engineering solution development.
• Experience with Kafka and streaming analytics.
• Working knowledge of relational databases.
• Exposure to adjacent domains such as dataflow, data science, or mission analytics is a plus.

Nice to Haves:

• Hands-on experience with production CNO capabilities and operations.
• Experience analyzing cyber security data sets such as network traffic and OS events.
• Understanding of end-to-end SIGINT collection and analysis systems.
• Familiarity with ClickHouse.
• Proficiency with Git and GitLab.
• Working knowledge of Atlassian tools such as Jira and Confluence.

YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.