DevOps Engineer (AI)

TL;DR

DevOps Engineer (AI): Leading DevOps efforts to build, solidify, and scale infrastructure for high-risk AI reliability platforms with an accent on multi-cloud deployments and compliance processes. Focus on managing GCP/AWS/Azure infrastructure, improving monitoring and logging systems, and driving ISO 27001 certification.

Location: Preference for candidates in Tokyo, but remote may be considered for exceptional candidates.

Company

hirify.global builds products to test and monitor high-risk AI systems to ensure they are reliable and trustworthy.

What you will do

• Lead DevOps efforts to build, solidify, and scale infrastructure.
• Manage multi-cloud deployments across GCP, AWS, and Azure.
• Implement and improve monitoring and logging systems.
• Assist in achieving ISO 27001 certification.
• Collaborate with the engineering team to optimize infrastructure processes.

Requirements

• At least 3 years of DevOps or backend experience required.
• English proficiency required.
• Ability to adapt and learn new technologies rapidly in a startup environment.
• No prior ML expertise required but interest in MLOps and trustworthy AI is valued.

Nice to have

• Familiarity with ISO 27001 or SOC 2 certifications.
• Full-stack development capabilities.
• Previous startup experience.
• Experience with production machine learning systems.

Culture & Benefits

• Early employee opportunity with significant equity stake.
• Work in a rapidly changing, high-impact environment.
• Collaborate with a world-class engineering team.
• Highly funded startup environment with strong academic roots.