Startups · AI

Senior DevOps Engineer, AI Platform

Floqast · San Jose, California · Hybrid

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About Floqast

AI agents that automate reconciliations, close workflows, and journal entries — fully auditable, human-approved every step. Trusted by 3,500+ teams worldwide. Backed by Insight, Norwest and ICONIQ.

About the role

AI runtime infrastructure. Own our AWS Bedrock and Bedrock AgentCore footprint across US, EU, and AU: model access, provisioned versus on-demand throughput, cross-region inference, quotas and throttles, and region-appropriate model availability. Data residency drives the multi-region design as much as latency does. Define the standard way product teams call a model, retry it, budget it, log it, and trace it, so they stop hand-rolling those primitives.

What they're looking for

  • Model training, fine-tuning, or research publications
  • An accounting background. We'll teach you the domain, and you'll need enough of it to know what “wrong” looks like
  • A PhD or formal ML credential. Production judgment beats coursework here
More about this role

FloQast's AI products have outgrown the infrastructure patterns the rest of the platform runs on. Transform, AI Matching, and AutoBuilder are customer-facing products carrying real accounting workloads, and they behave nothing like a CRUD service. They call foundation models in multiple regions, execute generated code in sandboxes, spend money per token rather than per request, and fail in ways a 500-rate dashboard never catches.

Today, DevOps engineers carry this work alongside the wider fleet. We are making it someone's whole job. You will embed with the Transform and Close AI pods and own the AI runtime the way our other embedded DevOps engineers own their business unit's platform.

This is a DevOps role with an AI infrastructure specialization, not a research or modeling role. You will not train models or tune prompts for accuracy. You will make the systems that serve them fast, observable, multi-region, cost-bounded, and auditable .

Transform. FloQast's data transformation and analytics product: a monorepo of containerized services on AWS, including an agentic LLM thread runtime, a natural-language-to-SQL service, and queue-driven workflow workers. You'll own the...

Read the full posting on Floqast's site ↗

DevOps

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