Software Engineer @ CyberCube

Salary Range: 100000 to 120000 (Currency: USD) (Pay period: per-year-salary)

About CyberCube:

1) 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.

2) Exceptionally well-funded startup that has raised over $100MM of capital from top-tier investors that has no need for any additional capital in this current market environment

3) Explosive team growth (from 15 employees in SF to >100 people globally).

4) Explosive client base growth path with a >99% retention rate.

5) An incredibly diverse, collaborative, and high-performing team of insurance industry professionals, data scientists, and engineers who love working here.

6) CyberCube and its products win industry awards every year (eg. Cyber Risk Solution of the Year & Stress Scenario Software of the Year in 2023). We were recognized with 9 awards in 2022.

7) Senior leadership has a continuous commitment to team members doing the best work of their careers.

8) CyberCube is just a place where you can get things done!

9) Ranked #11 on Forbes America’s Best Startup Employers.

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.

The official title will be Data Specialist.

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

CyberCube Analytics, Inc. is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

Compensation Overview

Primary Responsibilities

Requirements

Nice to Haves

Why You’ll Love it Here

6 month growth

1 year growth

2 year growth

Simplify's Take

What believers are saying

What critics are saying

What makes CyberCube unique