Member of Technical Staff, Platform

Ciridae

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in systems engineering and infrastructure management
  • Proficient in Python; knowledge of Go or TypeScript preferred
  • Experience with Terraform and Google Cloud Platform (GCP)
  • Strong understanding of distributed systems, APIs, and databases
  • Familiarity with multi-tenant production environments
  • Knowledge of LLM-specific infrastructure challenges, including model routing and latency controls
  • Ability to evaluate and implement cost-efficiency measures

Responsibilities

  • Own the infrastructure behind production AI for multiple live customer deployments
  • Design and manage multi-tenant systems ensuring reliability and cost control
  • Develop internal tools to improve deployment efficiency based on field learnings
  • Address complex problems in real-time systems rather than deferring them
  • Monitor and evaluate system performance to adapt to changing ground realities
  • Collaborate with engineering teams to optimize the overall infrastructure
  • Implement solutions that increase the leverage of deployments across customers

Benefits

  • Opportunity to work at a seed-stage company with a direct impact on infrastructure
  • Engagement with cutting-edge AI technologies and challenges
  • Possibility of developing solutions that enhance future deployments
  • Collaborative and dynamic work environment
  • Access to tools and technologies that encourage innovation and efficiency
Full 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.

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