Why This Role Stands Out
This hybrid role offers significant career growth and the chance to make a substantial impact by developing mission-critical infrastructure solutions with cutting-edge AI tools. You'll thrive here if you're a skilled Python developer with experience in streaming analytics and a passion for transforming complex data into actionable insights, all while enjoying a competitive compensation package. Embrace this exciting opportunity to contribute to a highly visible and impactful project.
Quick Overview
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: $260k-$285k per year with an additional $65k-$71k 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 iterates as frequently as possible. As a Software Engineer III, 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).
- Develop ETL workflows.
- Apply AI tools and techniques to accelerate analysis and prototype new solutions quickly.
- 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.
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