Overview
A small team currently handles the design, build, operation, releases and incident response of the GENFLUX FDE platform. As the business grows, we are looking for an infrastructure engineer who can grow the platform as a system. We want someone to build with us a standard platform that keeps launching customer environments safely and quickly.
Why we are hiring
Elith is an AI startup spun out of the Matsuo Lab at the University of Tokyo, working on the research, development and real-world deployment of AI Safety and AI Security. Our own product, GENFLUX, is an integrated platform that supports companies' use of generative AI end to end: adoption, operation, security, quality evaluation and custom builds.
GENFLUX FDE is the business of quickly and safely launching and operating each customer's generative AI applications on a shared platform. As more companies adopt it, the number of tenants (per-customer environments) and the level of security and availability they require are rising fast.
Responsibilities
- Designing, building and operating the GENFLUX FDE multi-tenant platform (Google Cloud: Cloud Run, Cloud SQL, Cloud Load Balancing, Cloud Armor, Secret Manager, etc.)
- Codifying infrastructure with OpenTofu (Terraform-compatible) and running production changes based on reviews and checked change plans
- Launching tenants for new customers (environment, domains and certificates, CI/CD, production release) and automating and improving that procedure
- Building CI/CD with GitHub Actions and Cloud Build, and setting up approval flows and audit trails for production releases
- Setting up monitoring, alerts and external monitoring, handling incidents (first response, root-cause analysis, prevention) and running the incident response flow
- Implementing cloud security measures such as least privilege, managing and rotating secrets, and operating the WAF (with the security engineers)
- Making cloud costs (Google Cloud, AWS) visible and optimizing them
- Supporting the build and operation of dedicated customer environments (AWS, etc.) and answering customers' security checklists on technical points
- Reviewing infrastructure changes made by application developers (FDE engineers) and supporting their releases
What makes this role rewarding
- Experience owning the production platform of a generative AI product end to end, from design to build, operation and improvement, with the large discretion that comes with it
- Experience handling both a multi-tenant SaaS platform and dedicated customer environments, meeting the security requirements of enterprise customers
- A phase where you can shape the standardization and automation of tenant launches and releases as a system from scratch
- An environment where you can actively bring AI agents into automating infrastructure build and operation
- An environment where you work with members specializing in AI Safety and AI Security and deepen your knowledge of security and AI
Requirements
- Hands-on experience building and operating infrastructure on a public cloud (Google Cloud or AWS) (3+ years)
- Hands-on experience with infrastructure as code (IaC) using Terraform, OpenTofu or similar
- Experience running containerized applications in production (Cloud Run, ECS, Kubernetes, etc.)
- Experience building and operating CI/CD pipelines (GitHub Actions, etc.)
- Business communication in Japanese
Preferred qualifications
- Production operation experience on Google Cloud (Cloud Run, Cloud SQL, Cloud Armor, IAM, etc.)
- Experience designing and operating a multi-tenant SaaS platform
- Experience designing change management, such as approval flows and audit trails for production changes
- Hands-on SRE experience such as monitoring design, defining SLOs, incident response and postmortems
- Hands-on cloud security experience such as permission design, secret management, WAF and network isolation
- Experience operating ISMS / SOC 2 or answering customers' security checklists
- Experience optimizing cloud costs (FinOps)
- Experience building and operating on AWS (ECS, Aurora, CloudFront, etc.)
- Experience in development and operations using AI agents
- Communication in English
Ideal candidate
- Always mindful of the impact on production, and careful to check and record before making changes
- Works independently in a small team while setting priorities
- Explains technical topics clearly to people in different positions, such as developers, sales and customers
- Enjoys turning manual work into systems and automation
- Adopts advances in AI technology and improves the way work itself is done
Job conditions
- Employment type
- Full-time
- Salary
- Expected annual salary: 7,000,000–9,000,000 yen
- Location
- Fully remote work available (you can also come to the office in Hongo, Bunkyo-ku, Tokyo)
- Working hours
- We may ask you to respond outside working hours when an incident occurs
Apply for this position
The application form asks for your basic information, education and work history, public work, and motivation.