12 years of experience in a technical discipline or 4 additional years in lieu of a B.S.
Strong proficiency in Python for software development.
Demonstrated experience with AI/ML tools for data analysis.
Familiarity with Kafka and streaming analytics.
Working knowledge of relational databases.
Exposure to dataflow, data science, or mission analytics is a plus.
Responsibilities
Design, develop, and maintain full-stack applications.
Develop ETL workflows to reconcile requested vs. realized infrastructure.
Apply AI tools and techniques for rapid analysis and solution prototyping.
Ensure scalable and reliable data ingestion and processing.
Collaborate with engineers on integration and visualization of results.
Benefits
Opportunity to work on mission-critical infrastructure projects.
Engagement with diverse stakeholders across the organization.
Access to cutting-edge AI tools and technologies.
Potential for professional growth in a dynamic team environment.
Full Job Description
Job Description
Salary: $209,000 - $266,000
You will be part of a team responsible for delivering mission-critical infrastructure cognizance. You will be tasked with aggregating data sources to create a clear picture of what infrastructure was requested, what infrastructure was deployed, and proactively alerting on any discrepancies. 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
Required Skills
Responsibilities: Design, develop, and maintain full-stack applications (frontend and backend).
Develop ETL workflows to reconcile requested vs. realized infrastructure.
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.
12 years experience and a B.S. in a technical discipline or 4 additional years. in place of B.S.
Desired Skills
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.
