About the Company
Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness.
CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. To date, we have collectively worked with over 1800 enterprise clients, helped secure over $310 billion worth of digital assets, and detected over 31,000 vulnerabilities in blockchain code. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Terra, Yearn, and Chiliz.
CertiK just raised over $140 million and backed by Coatue, Tiger Global, Sequoia, and Hillhouse Capital.
You are super interested in the crypto industry and you look forward to learn and help shape its future. You enjoyed the computer science or data science fundamentals classes and are looking forward to apply them in a real world setting. You are a fast learned and you strike a good balance between independent thinking and team work. You like to dive deep into technical problems and you value creativities built on top of a rigorous foundation.
About the Role
You will help build an end-to-end system that reads data from the ecosystem (including from the blockchain), processes and analyzes them, identifies unusual and suspicious activities from the data, and serves them to the end user to help make the crypto world a safer place. You’ll work with a team of security engineers, data scientists and software engineers to build this together. On the engineering side you can work on data ingestion, scraping, data pipeline, devops (including machine learning ops), and full stack. On the data science side, you can work on data quality, data processing, data visualization, or machine learning.
- Develop software to read data from the blockchains and to scrap data from other sources
- Develop ETL data pipeline and events monitoring pipelines
- Develop APIs and user-facing products
- Pursuing Bachelor’s Degree in Computer Science or Data Science.
- Experience with one of the following: blockchain, data pipeline, fullstack, devops, MLOps, data visualization, data scraping, data quality, data analysis, machine learning. At least one course or equivalent experience.
- Demonstrated knowledge of fundamental computer science concepts such as data structures and algorithms or fundamental data science concepts such as statistics.
- Fluent in Python and SQL
- Pursuing Masters or PhD in Computer Science or Data Science
- Experience in startup
- Strong contributor to open source community
CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.
CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.
All CertiK employees are expected to actively support diversity on their teams, and in the Company.