[Remote] Lead Software Engineer - Data Collection at CyberCube

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

5+ years of experience in large-scale data collection / software engineering
Deep understanding of the internet infrastructure and technologies such as DNS, CDN, ASN, ISP, and CSP
Highly proficient in SQL and Python
Strong fundamentals in data structures, algorithms, and base Python paradigms
Familiarity with modules commonly used for data collection, analysis, and machine learning such as Pandas, NumPy, Scikit-learn etc
Experience with AWS technologies for computation, orchestration, and storage
Experience with designing, deploying, and maintaining microservice applications
Excellent oral and written communication skills
Experience working in and leading project teams
Ability to work in an agile, fast-paced startup environment
Ability to maintain relationships, collaborate effectively, and meet deadlines while working remotely
Aptitude for time-sensitive analysis and troubleshooting tasks

Responsibilities

Own the strategy for the Data Collection function and develop and test ideas for new collection initiatives
Manage the entire third-party data lifecycle, including sourcing, contracting, negotiation, and post-contract account management
Engage in cross-functional collaboration with stakeholders from engineering, product management, cyber risk modeling, actuarial science, economics, and client success to deliver on projects and product goals
Deliver on key objectives and quarterly development goals across 3+ products
Maintain, monitor, and apply design updates to existing data collection systems
Develop and continually update technical documentation
Perform code reviews and suggest opportunities for improvements
Deliver high-quality data analysis and present findings to cross-functional teams

Skills

CyberCube

Cyber risk analytics platform for insurers

About CyberCube

CyberCube provides an analytics platform that helps insurance companies quantify and manage cyber risk. The platform uses cloud-based technology to offer solutions for insurance placement, underwriting decisions, and portfolio management. Clients gain access to curated datasets, models, and signals that are integrated into their existing workflows, enabling them to make informed decisions about their cyber risk exposure. What sets CyberCube apart from competitors is its team of experts in data science, cyber security, and insurance, who provide consulting and support to clients. The goal of CyberCube is to empower insurance companies with the knowledge and tools needed to effectively manage cyber risk.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$102.1MTotal Funding

LATE_VCCompany Stage

Data & Analytics, Cybersecurity, Financial ServicesIndustries

51-200Employees