Role Location
- New York, NY, United States
Compensation
Employees
Address
Tech Stack
- Python
- Flask
- React
- PostgreSQL
- Tensorflow
- C
- Google Cloud
- D3
- JavaScript
- Kafka
- Kubernetes
Role Description
What You'll Do:
- Analyze network data and IoT/medical protocols to identify behaviors, characteristics, risk factors, and IoCs for devices
- Research methods for medical/IoT device identification, threat detection, and risk quantification in tandem with ML/engineering teams
- Analyze client network topologies and architecture from a security and risk analysis perspective
- Analyze public and private vulnerability reports, malware campaigns, and threat actors
- Conduct and contribute to network risk assessments, risk remediation plans, and posture reports
- Investigate security-related events to identify root cause and track active threats
Your Skills & Experience:
- Deep understanding of networking fundamentals, protocols, and enterprise networks
- Deep understanding of cybersecurity and risk analysis
- Experience programming in Python and using relational databases, ElasticSearch, and/or Neo4j
- Experience with threat hunting, malware analysis, or penetration testing is a plus
- Knowledge of medical devices is a plus, but not required
- Degree in related engineering field (CS, EE)
- 5+ years of experience in related field
Nice-To-Haves:
- Experience with medical devices
- Experience in networking for hospital and health systems
- Experience with big data frameworks, preferably Apache Spark
- Understanding of basic machine learning principles
About Cylera
Cylera is a VC-backed stealth startup creating a network-level cybersecurity solution to manage and protect connected medical devices, such as infusion pumps and CT machines, by applying machine learning techniques to network traffic. Our problem space is at the intersection of the virtual and physical, where insecure medical equipment serves as the interface between patients and the hospital network, and where a single device compromise could have potentially life-threatening consequences.
Company Culture
Our small team has spent the past year hyper-focused on setting all the dominos in place: securing funding, building the right team, finding enthusiastic customers, and creating a solid technical foundation. While we recognize the massive market opportunity ahead of us, we are more excited by the problem space and the technological progress to be made. The idea that our code will protect life-critical medical devices from cyber attacks keeps us driven, focused, and brings us to work every day. We even have a bottle of champagne set aside for the day we stop our first attack.
Yet, while passion and grit have helped our scrappy team of five reach this point, we believe these traits were just the base requirements. Our individual drives to constantly learn, immerse ourselves in unfamiliar problem spaces and technologies, and balance desires for perfection with forward momentum have been critical. These are individual values we want to ensure we maintain as our small team rapidly grows over the next few months.
If any of this resonates with you at all, let's talk. We'd love for you to be there with us as we pop open that bottle of champagne.
Address
Tech Stack
- Python
- Flask
- React
- PostgreSQL
- Tensorflow
- C
- Google Cloud
- D3
- JavaScript
- Kafka
- Kubernetes
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