Member of Technical Staff, Platform

Ciridae; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Ciridae is looking for systems engineers to tackle infrastructure problems related to AI production across multiple customer environments. You'll maintain the platform and work on distributed systems, APIs, and databases while utilizing your expertise in Python, Terraform, and cloud infrastructure. The role demands engagement with complex challenges such as model routing and cost controls. If you're ready to answer hard questions head-on, apply now to join our team in San Francisco.

Qualifications

• Expertise in building distributed systems and understanding cloud infrastructure.
• Experience in maintaining multi-tenant production environments.
• Ability to solve complex infrastructure challenges efficiently.

Responsibilities

• Handle the hard problems of running production AI across multiple customer environments.
• Focus on reliability, cost controls, and observability of non-deterministic systems.
• Transform real-time learning into internal tooling for efficiency.

Skills

Deep systems engineering

Distributed systems

APIs

Databases

Cloud infrastructure

Expert Python

Python/Go/TypeScript

Terraform

GCP

Containers

Multi-tenant production experience

Model routing

Cost and latency controls

Job description

You build the systems behind the systems. Every Ciridae customer deployment runs on the platform you maintain - the leverage of your work compounds with every new engagement. This is the role for engineers who would rather solve the hardest infrastructure problem once than the same problem six times.

What you own.

The hard problems behind running production AI across many live customer environments at once. Multi-tenant infrastructure, reliability and cost controls for non-deterministic systems, evaluation and observability where the ground truth keeps moving, and the internal tooling that turns what we learn on the ground into leverage for the next deployment. The questions a seed-stage team would normally postpone - we answer them now, because we have to.

What you bring.

Deep systems engineering - distributed systems, APIs, databases, cloud infra. Expert Python (Go or TypeScript a plus). Terraform, GCP, containers, multi-tenant production experience. Taste for the LLM-specific infra problems: model routing, evals, cost and latency controls.