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職務内容
We are an industry leader in providing AI/ML services to our clients and the security and management of our client data is critically important. As the first dedicated Platform Security Engineer, you will be building up our DevSecOps function whilst working with a team of other Platform Engineers to build out and secure our rapidly expanding cloud infrastructure and services.
You will be responsible for developing solutions, implementing requirements, assisting in creating key processes and procedures, that facilitate planning, execution and delivery of all our platforms and products.
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応募資格（必須）
・Bachelor's degree or equivalent practical experience;
・Experience: -Minimum 1-3 years of professional experience in cybersecurity related roles; -Experience in penetration testing/application security testing, vulnerability scanning, and threat-based risk assessment; -Programming experience in one or more languages including, but not limited to, Java, C/C++, Python, Ruby, JavaScript, Go, and Perl;
・Knowledge: -Strong understanding of security automation and DevSecOps methodologies; -Understanding of key management best practices and cryptographic techniques;
・Effective interpersonal and communication skills : (Business-level English and beginner Japanese) OR (Business-level Japanese and at least reading and writing capabilities for English)
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応募資格（歓迎）
・Past experience working in a startup environment ・A fundamental understanding of algorithms and data structures ・Advanced knowledge of Linux environments ・Experience working with large distributed systems (preferably via container orchestration) ・Good presentation skills (English or Japanese)
About ExaWizards
ExaWizards is an AI start-up with a simple mission: solve social issues using AI and create a happy society. But to achieve it, they’re tackling issues across a wide variety of industries: Care tech, HR, fintech, medicine, security and more. They believe AI can help solve problems in all these areas, and they’re determined to do just that. Their business model can be broken into two different flows: project-focused and product-focused. For project-focused initiatives, they start from scratch. Their ML engineers and consultants identify business problems and build models aimed at solving them. In their product flow, they take the ML models developed for specific problems and generalize them to be useful for a wider array of problems. Normally they develop these solutions into SaaS products.
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