Bitsight Technologies Benefits Overview

Operate and improve multi-account AWS and Kubernetes environments, GitOps delivery, CI/CD pipelines, observability, reliability, security, and cost efficiency. Build infrastructure-as-code and Python automation, troubleshoot production issues, participate in on-call and incident response, and support development teams through self-service platform capabilities. The role also involves validating AI-assisted engineering output and collaborating across distributed teams.

Develop statistical and machine learning methodologies for cybersecurity risk assessment, predictive modeling, and security ratings. Enhance scoring methodologies, explore cybersecurity and threat intelligence data, apply emerging AI/ML techniques, and build scalable production code and data pipelines. Monitor model performance, investigate anomalies, document technical solutions, and collaborate with Engineering, Product, Marketing, and Customer Success teams.

Lead and grow a malware research team to expand victim intelligence capabilities. Develop large-scale collection strategies (sinkholing, emulation, crawlers), analyze malware and C2 channels, own triage workflows and data quality, and partner with product, engineering, and data science to convert threat telemetry into scalable product features.