The growing cyber security company is looking for a FullStack Engineer!
Their engineering team is developing reliable real-time risk-based authentication engine, FraudAlert, and deep analysis that utilizes internal and external data to provide valuable insights to our enterprise clients.
We believe everyone should have access to secure online financial services. Your high-quality delivery is vital to our mission. We are looking for an experienced engineer who is:
‐ Interested in the latest cybersecurity challenges and solutions or big data.
‐ A team player in an English and Japanese speaking environment.
‐ Fond of flexible and challenging startup environment.
‐ Build and deploy large-scale data processing and related tools, including streaming, batch analysis, and graph database.
‐ Analysis large amount of user access data and visualize the insights to help our enterprise clients understand the risks and threats.
‐ Write quality code, unit test, integration test and documentations to help team members understand your work.
‐ Implement continuous integration and deployment.
‐ Participate in code reviews..
‐ Be a team player. Take actions to help other members in the team
【会社概要 | Company Details】
Our client is the cyber security company that provides a fraud alert solution. It can detect fraud and identify theft based on users' online behavior. The company developed their own risk detection engine, which can protect users from malicious access. The company is listed as Next top 100 Unicorn companies recognized by Nihon Keizai Shinbun.
【就業時間 | Working Hours】
10:00 - 19:00（Mon - Fri）
Flexible working hours
【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays, Other Special Holidays
【待遇・福利厚生 | Services / Benefits】
Social insurance, Transportation Fee
‐ Bachelor Degree in Computer Science, Electrical Engineering or related.
‐ Familiar with data structures and algorithms.
‐ Familiar with back-end and performance optimization techniques.
‐ At least 2 years of Python programming experience.
‐ Familiar with AWS, streaming, Spark, graph database or machine learning
‐ Familiar with relational database and NoSQL.