About The Company

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 to enterprises, 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, Terra, Yearn, and Chiliz.

CertiK just raised over $140 million and is backed by Coatue, Tiger Global, Sequoia, and Hillhouse Capital.

Job Short Description

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 and gain exposure to data ingestion, scraping, data pipeline, DevOps (including machine learning ops), and full stack.

Responsibilities

• • Develop python/shell scripts for SDLC tooling and automations.
  • Set up monitoring and logging agents and configure monitors.
  • Work with cloud services and implement Terraform templates.
  • Create and automate data pipelines with airflow and dbt.
  • Build machine learning pipelines and the platform.
  • Operate blockchain nodes.

Qualifications

• • Pursuing Bachelor's or above degree in Computer Science or related fields
  • Demonstrated knowledge of computer science concepts such as data structures, algorithms, operating systems, databases and networks.
  • Fluent in Bash, Python and SQL
  • Experience with one of the following: software engineering, system design, DevOps, cloud technologies, data scraping, data quality, MLOps, or blockchains. At least one course or equivalent experience.

Preferred Qualifications

• • Pursuing Masters or PhD in Computer Science or related fields
  • Experience in startup
  • Strong contributor to open source community