About CyberCube:
with a >99% retention rate.
Role Summary:
We’re looking to hire a junior 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.
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
- 2+ 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.
- Strong SQL query and schema design skills
- Experience with relational databases such as PostgreSQL and NoSQL data stores such as Snowflake
- 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
- Comfort with working in Unix-like environments
- Experience with AWS technologies for computation, orchestration, and storage
- Experience building automated ETL pipelines or backend applications in Python and SQL
- 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.
- Interest in state-of-the-art compiled languages, specifically Go, for developing well-parallelized applications
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
What We Do
CyberCube is a SaaS technology company, developing world-leading cyber risk analytics and modeling to help society understand the financial impact of cyber risk. We enable society to make better decisions about which digital risks to avoid, mitigate or insure as internet-connected technologies change the nature of risk in the 21st Century.
CyberCube delivers world-class insight-driven analytics, built specifically for the insurance ecosystem. We’re helping our customers all over the world use our data and analytics applications to enable insurance placement, underwriting decisions, and portfolio management optimization. We help power insight-driven decisions to grow cyber insurance in a sustainable, profitable way.
We help the cyber insurance market to grow profitably through the use of our world-leading cyber risk analytics.
We give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges.
The combined power of our unique data, multi-disciplinary analytics and cloud based technology helps with insurance placement, underwriting selection and portfolio management optimization.
Our deep bench of experts from data science, security, threat intelligence, actuarial science, software engineering and insurance helps the global insurance industry by selecting the best sources of data and curating it into data sets to identify trustworthy early indicators of risks and build a forward-looking view of them.
Why Work With Us
Our supportive and respectful environment increases the participation and contribution of all employees, with personal development and inclusion being priorities. We deeply care about the wellbeing of our employees and strive for a fun and healthy environment where you'll be able to roll your sleeves up and learn with like-minded talented people.
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