Software Engineer on Censys’s Attack Surface Management platform specializing in building systems and algorithms to attribute internet assets to customers using public and proprietary data sources.
•Maintained + debugged legacy attribution systems (python, kubernetes, rabbit, celery)
•Maintained + extended lightweight rule-based-system inference engine and encapsulating microservice to enable self-service customer onboarding (golang, postgres, kubernetes, helm, gitlab CI/CD)
•Designed, built, documented, and optimized low-latency REST APIs to support new user flow around self-service customer onboarding (golang, postgres, kubernetes)
•Conducted research to evaluate efficacy of potential new datasets and evaluate improvement once they were incorporated (google colab, python)
•Contributed to design and building of data ingestion pipeline for new public or proprietary datasets to support both production usage and research access (airflow, bash, python, kubernetes, Bigquery, terraform)
•Conducted technical and behavioral interviews for software and data engineering candidates
