We’re hiring a DevOps engineer to work with our small, full-stack team to build the infrastructure and processes underlying our software. Our products test, monitor, and improve the reliability of machine learning systems, so it’s important that our software is reliable as well!
Responsibilities
You’ll be our first dedicated DevOps hire, and will be responsible for leading our DevOps efforts to build, solidify, and scale our infrastructure and processes. Some concrete projects may include: managing our multi-cloud deployments (mostly GCP, but also AWS and Azure for enterprise-tier customers), helping us get our ISO 27001 certification, and improving our monitoring and logging systems.
Some technologies we use are: Docker, Docker Compose, Ansible, GitHub Actions, GCP (GCE, GCR, GCS, Cloud SQL), Vanta (ISO 27001). Our backend is primarily in Python, and uses PostgreSQL, Redis, RQ, Gunicorn, Flask, TensorFlow Extended, Pytest, and many Python ML libraries.
Requirements
No ML expertise is required for this role, though we hope you’re interested to dive deep into the emerging space of MLOps / trustworthy ML / responsible AI.
Our company, technology, and market are new and changing rapidly, so a large part of the job is to adapt and learn new things. We value learning fast over pre-existing knowledge (“slope is more important than y-intercept”).
You should have at least 3 years of DevOps or backend experience. We don’t require past experience with specific programming languages or frameworks.
We prioritize candidates in Tokyo, but may consider remote for exceptional candidates.
Nice to haves
These aren’t required, but be sure to mention them in your application if you have them.
You’re familiar with ISO 27001/SOC 2 certifications, you can work full-stack, you’ve worked at a startup before, or you have experience with production machine learning.
Compensation
As an early employee, you’ll own a significant equity stake in addition to your base salary.
