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Lead Software Engineer, Data

CyberCubeSan Francisco OfficeRemote, Onsite

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.
  • Explosive team growth 🚀 (from 15 employees in SF to 100+ globally 🌍).
  • 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 ForbesAmerica'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!🎥

The title for this role will be:

Lead Data Specialist

Role Summary:


We’re looking to hire a software engineer in the Data Collection (DC) 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 DC team works closely with engineering and product teams to construct high-quality datasets. These datasets drive market-differentiating features within the CyberCube product offerings.

Your Team:


Hiring Manager: Munif MujibPeer: Rachel Phan

Primary Responsibilities


  • Research, design, develop, and test robust, streamlined, automated data collection systems
  • 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 interdisciplinarity among members
  • Execute with speed and rigor within an efficient and multi-faceted startup environment

Requirements


  • Bachelor’s degree in Computer Science, Software Engineering, or related technical discipline
  • 4+ years of experience programming in 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 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
  • Strong SQL query and schema design skills
  • Experience with relational databases such as PostgreSQL 
  • Functional knowledge of containerized workflows with Docker and Kubernetes, specifically in cloud computing environments
  • Knowledge of continuous integration and continuous development concepts, agile development methodologies, and version control technologies such as Git
  • Eager interest in learning, evaluating, and utilizing new technologies for problem solving, specifically in complex system design
  • Ability to write well-organized, readable, and efficient code
  • Excellent technical communication skills: written, verbal, and visual
  • Aptitude for time-sensitive analysis and troubleshooting tasks

Nice to Haves


  • Experience building automated ETL pipelines or backend applications in Python and SQL
  • Experience in state-of-the-art compiled languages, specifically Go, for developing well-parallelized applications
  • Experience with building applications that interact with RESTful APIs
  • Experience with data visualization concepts and tools such as Matplotlib, Plotly, Altair/Vega/D3.js etc.
  • Experience with front-end web development geared towards dashboards and static sites for documentation
  • Interest in fundamental internet technologies and concepts such as DNS, HTTP, IPv4 etc.
  • Interest in internet security standards and technologies such as SSL, TLS, DNSSEC, IPsec, PGP etc.

Why You'll Love it Here


  • Play an instrumental role in reshaping one of the oldest industries in the world
  • Competitive salary and unlimited PTO
  • Meaningful early-stage equity
  • Generous healthcare benefits with medical, dental and vision coverage
  • Monthly catered lunches and happy hours
  • Company-paid learning and development assistance
  • Flexible working hours and ability to work remotely
  • Opportunity to participate in a secondment program 
  • Dependant care assistance plan 
  • Company-supported mentorship program
  • Grow in a collaborative, respectful, and empathetic culture

Compensation Range: $140K - $160K

Life at CyberCube

CyberCube delivers data-driven cyber analytics built specifically for the insurance industry. CyberCube is focused on solving the most difficult and important cyber risk challenges in insurance with world-class analytics. Our team is composed of multi-disciplinary experts across data science, cyber security, software engineering, actuarial modeling and commercial insurance. CyberCube offers a software as a service platform for cyber risk aggregation modeling and insurance underwriting. The CyberCube platform was established in 2015 by Symantec to apply the cyber security company's unique sources of data, intelligence and expertise to cyber insurance analytics and now operates as a standalone company with continued access to Symantec data and resources.
Thrive Here & What We Value1. Competitive salary and meaningful early stage equity2. Healthcare benefits with medical, dental, and vision coverage3. Flexible working hours and remote work option4. Company-supported mentorship program5. Collaborative, respectful, empathetic culture6. Explosive team growth and client base expansion7. Exceptionally well-funded startup with no immediate need for additional capital8. Highly diverse, collaborative, high-performing team9. Continuous commitment to career excellence10. Industry recognition through awards (e.g., CyberCube's industry accolades)

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