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11 часов назад

Principal Software 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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TL;DR
Principal Software Engineer (AI): Building scalable backend systems for an AI-native cybersecurity platform with an accent on distributed systems, cloud-native architecture, and operational reliability. Focus on leading 0→1 technical initiatives, designing highly available systems, integrating AI-assisted development, and mentoring engineers across complex technical domains.

Location: Boston, MA; hybrid

Company

hirify.global is building an AI-native cybersecurity platform for next-generation security operations.

What you will do

  • Lead the design and development of scalable backend systems for the cybersecurity platform.
  • Drive complex technical initiatives from 0→1, covering system design, technical strategy, implementation, and operationalization.
  • Translate ambiguous business and customer problems into technical solutions with product, AI, security, and platform teams.
  • Lead design discussions and provide technical direction across multiple engineering domains.
  • Improve observability, reliability, testing, deployment workflows, and operational excellence.
  • Mentor engineers and help establish engineering standards, practices, architecture, and culture.

Requirements

  • 15+ years of professional software engineering experience building and operating production-grade distributed systems.
  • Experience leading large-scale, highly available cloud-native systems.
  • Expertise in distributed systems, APIs, event-driven architectures, data-intensive applications, and infrastructure scalability.
  • Experience leading complex technical projects involving ambiguity and cross-functional coordination.
  • Strong proficiency in Rust, Python, TypeScript, or Go, plus experience with AWS, GCP, or Azure.
  • Strong communication skills and comfort working with AI-assisted development tools such as Claude Code, Codex, or Cursor.

Nice to have

  • Experience building AI-native products or integrating LLM- and agent-based systems into production.
  • Background in cybersecurity, security operations, or high-sensitivity infrastructure.
  • Experience designing multi-tenant SaaS platforms, real-time data pipelines, streaming systems, or large-scale telemetry processing.
  • Experience in high-growth startup environments and scaling engineering teams, processes, and technical culture.

Culture & Benefits

  • Fast-moving environment focused on building 0→1 systems.
  • High standards for execution, craftsmanship, collaboration, and ownership.
  • Opportunity to influence technical direction and engineering culture across the organization.

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