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4 дня назад

Senior DevOps Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior DevOps Engineer (GCP/AI): Building and scaling a GenAI-powered SaaS platform for digital investigations with an accent on serverless architecture, RAG pipelines, and agentic workflows. Focus on optimizing LLM production workloads, ensuring system reliability, and managing BigQuery-based data workflows.

Location: Must be based in the USA (Remote)

Company

hirify.global is a global leader in digital investigations, providing an AI-powered platform to protect and save lives by enhancing intelligence gathering.

What you will do

  • Own and manage application services on GCP infrastructure, focusing on serverless and managed services.
  • Design and maintain robust CI/CD pipelines for rapid and safe deployments.
  • Operate and optimize production GenAI/LLM workloads, including RAG pipelines and agentic workflows.
  • Monitor and improve latency, cost, and reliability of AI-driven systems.
  • Optimize BigQuery-based data workflows, queries, and performance.
  • Implement comprehensive observability including logging, metrics, tracing, and alerting for AI pipelines.

Requirements

  • 5+ years of experience in DevOps, SRE, or Cloud Engineering.
  • Strong hands-on experience with Google Cloud Platform (GCP).
  • Proven experience with serverless architectures (Cloud Run, Cloud Functions).
  • Experience running and supporting production SaaS applications and BigQuery.
  • Hands-on experience with GenAI/LLM-based applications in production (RAG systems, model APIs).
  • Solid scripting and programming skills in Python, TypeScript, or Bash.

Nice to have

  • Experience optimizing LLM performance, cost, and reliability at scale.
  • Familiarity with vector databases, embeddings, and retrieval systems.
  • Experience with Infrastructure as Code (Terraform).
  • Background in secure or regulated environments.

Culture & Benefits

  • Opportunity to build and scale a real-world GenAI product with meaningful global impact.
  • Work on cutting-edge challenges involving LLMs, RAG, and agentic systems.
  • Collaboration within a small, fast-moving, and high-impact innovation team.

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