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5 дней назад

Senior AI Platform Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Australia
Релокация
Australia
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 AI Platform Engineer (AI/Cloud Infrastructure): Building an end-to-end factory where coding agents build, test, review, and safely deploy software with an accent on developer experience, platform infrastructure, and reliability. Focus on designing agent-safe environments, owning AWS scalability and costs, and improving observability, SLOs, CI/CD, and incident response across engineering.

Location: Sydney, Australia; hybrid with 3 days in the office required. Relocation from overseas to Australia is supported with visa sponsorship.

Company

hirify.global builds a unified platform for creating and managing intelligent AI agents that handle workflows, decisions, and collaboration.

What you will do

  • Own the developer experience and engineering factory covering build, test, deployment, and local development loops.
  • Build agent-safe environments with sandboxes, guardrails, evaluation capabilities, and context for autonomous coding agents.
  • Own reliability through SLOs, on-call health, observability, incident response, and prevention.
  • Manage AWS cloud infrastructure, scalability, and engineering cost visibility.
  • Design platform capabilities for multiple teams, engineers, and agents contributing code.
  • Educate engineers, remove systemic bottlenecks, and create clear paths for infrastructure contributions.

Requirements

  • Experience owning developer experience, CI/CD, build and deployment tooling, and cloud infrastructure for a shipping engineering team.
  • Hands-on experience with coding agents, agent environments, guardrails, evaluation frameworks, or related AI-native development workflows.
  • Direct ownership of SLOs, on-call health, observability, and incident response.
  • Ability to improve engineering practices across teams, educate others, and establish adopted platform standards.
  • Product-oriented judgment, comfort with ambiguity and pace, and focus on customer and engineering impact.
  • Experience with the exact technology stack is not required, but familiarity with AWS, Terraform, Kubernetes, TypeScript, Python, PostgreSQL, MongoDB, GitHub Actions, or Datadog is relevant.

Culture & Benefits

  • AI coding agents are a core part of the engineering workflow, with continuous shipping and rapid prototyping.
  • High-trust, low-ego environment with end-to-end ownership and open sharing of platform expertise.
  • Competitive salary, equity through an ESOP, and professional growth opportunities.
  • Up to $1,200 USD per year for AI productivity tools.
  • Paid parental leave, including 12 weeks for eligible new parents and an additional 6 weeks for the birthing parent.
  • Office meals and refreshments, quarterly team events, social clubs, and 24/7 mental health support through Sonder EAP.

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