Job DescriptionSALARY RANGE $124,000 - $181,000/year.
DUTIES As a successful candidate for the Software Engineer I role, you will join a team responsible for delivering mission-critical infrastructure cognizance. Focusing on streaming analytics and ETL, you will design pipelines that transform complex infrastructure data into actionable insights, leveraging AI to analyze and rapidly build solutions. In this position, you will aggregate data sources to reconcile requested versus deployed infrastructure, alert on policy discrepancies, and collaborate with cross-organizational stakeholders to continuously refine deployment best practices.
Required SkillsSKILLS - Build streaming data pipelines using Kafka and Python to process infrastructure data
- Develop ETL workflows to reconcile requested versus realized infrastructure
- Apply AI tools and techniques to accelerate analysis and rapidly prototype new solutions
- Ensure scalable and reliable data ingestion and data processing
- Collaborate with full-stack engineers on system integration and visualization of results
QUALIFICATIONS Three (3) years of experience as a SWE in programs and contracts of similar scope, type, and complexity are required. A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
Additional requirements:
- Demonstrate strong proficiency in Python programming
- Apply AI/ML tools to accelerate data analysis and engineering solution development
- Utilize Kafka and streaming analytics architectures for real-time processing
- Maintain a working knowledge of relational database management systems
- Leverage exposure to adjacent technical domains such as dataflow architectures, data science, or mission analytics
Desired SkillsNICE-TO-HAVES- Analyze cybersecurity datasets, including network traffic and OS events
- Apply understanding of end-to-end SIGINT collection and analysis systems
- Leverage hands-on experience with production CNO capabilities and operations
- Demonstrate familiarity with ClickHouse database systems
- Utilize Git and GitLab for version control and repository management
- Apply working knowledge of Atlassian tools such as Jira and Confluence
