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14 часов назад

Senior Platform Engineer (AI)

Формат работы
hybrid
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 Platform Engineer (AI): Designing and scaling the cloud and service platform that powers AI-driven security products with an accent on AWS infrastructure, reliability, security, and developer experience. Focus on expanding AWS regions, building infrastructure automation and observability, orchestrating containers, and improving high availability, disaster recovery, and incident response.

Location: Boston, MA, United States; hybrid

Company

hirify.global develops AI-driven security products and the platform infrastructure that powers them.

What you will do

  • Design and build scalable, secure, high-performance infrastructure for an AI-native platform.
  • Own AWS region expansion and improve compliance, elasticity, disaster recovery, and high availability.
  • Develop platform tooling, services, runbook automation, and AI-assisted developer workflows.
  • Partner with AI and backend engineers on deployment, CI/CD, observability, and performance optimization.
  • Lead infrastructure-as-code, container orchestration, operational excellence, and incident response improvements.

Requirements

  • 5+ years of experience in Platform, DevOps, or Software Engineering roles.
  • Experience collaborating with development teams and changing production code.
  • Strong software development skills in Python, TypeScript, or similar languages.
  • Deep experience with AWS and expertise in Kubernetes, Docker, Terraform, and modern CI/CD systems such as GitHub Actions.
  • Experience building observability and monitoring systems with tools such as the Grafana stack.
  • Strong understanding of developer experience, automation, high-scale systems, distributed systems, networking, and security fundamentals.

Nice to have

  • Experience with AI/ML platforms or data-intensive systems.
  • Knowledge of agent frameworks, LLM orchestration, or event-driven architectures.
  • Familiarity with SOC operations, threat detection, or security automation tools.

Culture & Benefits

  • Close collaboration with AI, backend, and product teams.
  • Focus on automation, developer experience, reliability, and operational excellence.
  • Work on infrastructure for mission-critical AI and cybersecurity applications.

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