Description:

CyberCube is a market leader in digital analytics, focused on delivering world-class cyber risk analytics.
The company is an exceptionally well-funded startup that has raised over $100MM from top-tier investors.
CyberCube has experienced explosive team growth, expanding from 15 employees in San Francisco to over 100 globally.
The company is utilized by 75% of the top 40 US and European cyber insurance carriers and surpassed 100 clients in 2023, boasting a retention rate of over 99%.
CyberCube and its products have received industry recognition, including awards such as Forbes America's Best Startup Employers 2025 and Cyber Risk Solution of the Year in 2025.
The senior leadership is dedicated to attracting, developing, and exciting exceptional talent from diverse backgrounds, fostering collaboration across disciplines.
The company promotes ownership for excellence, empowering team members to take initiative and deliver results.
CyberCube has been named on Forbes’ America’s Best Startup Employers list for three consecutive years (2021, 2022, 2023).
The role involves joining the Data Collection (DC) team, which focuses on developing scalable systems for large-scale internet data collection and constructing high-quality datasets for CyberCube's product offerings.

Requirements:

A Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline is required.
Candidates must have 4+ years of experience programming in Python, with strong fundamentals in data structures, algorithms, and Python paradigms, including object-oriented and functional programming concepts.
Familiarity with data collection, analysis, and machine learning modules such as Pandas, NumPy, and Scikit-learn is necessary.
Experience with AWS technologies for computation, orchestration, and storage is required.
Candidates should have experience in designing, deploying, and maintaining microservice applications.
Strong SQL query and schema design skills are essential.
Experience with relational databases, particularly PostgreSQL, is required.
Functional knowledge of containerized workflows using Docker and Kubernetes in cloud computing environments is necessary.
Knowledge of continuous integration and continuous development concepts, agile methodologies, and version control technologies like Git is required.
An eagerness to learn and utilize new technologies for problem-solving, especially in complex system design, is important.
The ability to write well-organized, readable, and efficient code is essential.
Excellent technical communication skills, both written and verbal, are required.
Candidates should have an aptitude for time-sensitive analysis and troubleshooting tasks.

Employees will play an instrumental role in reshaping one of the oldest industries in the world.
The position offers a competitive salary and unlimited paid time off (PTO).
Employees will receive meaningful early-stage equity.
Generous healthcare benefits, including medical, dental, and vision coverage, are provided.
Monthly catered lunches and happy hours are part of the company culture.
The company offers company-paid learning and development assistance.
Flexible working hours and the ability to work remotely are available.
There is an opportunity to participate in a secondment program.
A dependent care assistance plan is offered.
The company supports a mentorship program to foster professional growth.
Employees will grow in a collaborative, respectful, and empathetic culture.