Senior Software Engineer Detection
Hypernative detects web3 security threats in real-time across multiple blockchains and automates protective responses to prevent damage before it occurs.
Projects
About Hypernative
Hypernative monitors blockchain activity to detect and block threats through real-time analysis. The platform identifies over 200 risk types including contract exploits, frontend compromises, and private key theft. With automated protective actions including pausing contracts and moving funds, Hypernative helps protocols, asset managers, and exchanges maintain operations during attack attempts while safeguarding digital assets.
Skills
About the Role
You will build and own detection capabilities that identify malicious activity across blockchain networks, from research and design through production deployment and impact measurement. You will design real-time detections, test detection logic, analyze datasets, investigate incidents, maintain production services, tune performance, and operationalize attack patterns.
Requirements
- 5 years of developer experience in a large-scale production setting
- Experience building detections in cybersecurity, fraud, risk analytics, or related domains
- Strong Python and SQL skills or comparable experience
- Experience designing heuristics, rules, scoring systems, or detection, anomaly, or classification logic
- Strong analytical and data-driven problem-solving skills
- Experience or familiarity with traditional cybersecurity concepts
- Track record of independently driving projects from idea to production
- Familiarity with or curiosity about blockchain, cryptocurrency, and digital assets
- Experience applying machine learning to detection or risk problems
Responsibilities
- Design and implement real-time detections for blockchain attacks and malicious activity
- Develop and backtest and forward-test heuristics and detection logic
- Analyze large datasets to discover new detection opportunities
- Investigate incidents and translate learnings into scalable detections
- Build and maintain production detection modules and services
- Measure, tune, and improve detection performance
- Partner with security researchers to operationalize new attack patterns
