ABOUT CYBERCUBE:

• The market leader in digital analytics with the mission of delivering the world’s leading cyber risk analytics on one of the most critical risks of today and the future.
• Exceptionally well-funded startup that has raised over $100MM from top-tier investors.
• Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >99% retention rate.
• CyberCube and its products consistently earn industry recognition , including awards like Forbes America’s Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025.
• Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers.
• At CyberCube, we drive ownership for excellence , empowering our team to take initiative, deliver results, and continually raise the bar.
• Named on Forbes’ America’s Best Startup Employers list three years in a row (2021, 2022, 2023)!
• Learn what it’s like to be part of CyberCube’s mission: Watch this leadership team interview!
  We’re looking to hire a software engineer in the Data Strategy and Collection team at CyberCube.
  This is a core R&D team at the company that takes on challenging problems and implements scalable systems for large-scale internet data collection. The Data team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings.
  The title of this position will officially be Lead Data Specialist. Reporting directly to Mohammad Al Boni, our Head of Data, this role puts you at the forefront of data innovation. Lead a team of data specialists to strategize, research, design, develop, deploy, and test robust, streamlined, automated data collection systems supporting use-cases to the (re)insurance industry.

THE SKILLS AND EXPERIENCE YOU WILL BRING:

• 5+ years of experience in building large-scale data collection systems
• 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, including object-oriented programming as well as functional programming concepts; Familiarity with modules commonly used for data collection, analysis, and machine learnin,g 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
• Ability to think creatively and implement a plan to address bugs and urgent product issues promptly
• Aptitude for time-sensitive analysis and troubleshooting tasks

• Manage a team of data specialists
• 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
• Collaborate effectively with an organization that prides strong interdisciplinary teamwork among members
• Execute with speed and rigor within an efficient and multi-faceted startup environment