Чёткая специализация на платформенной инженерии, уровень Principal и современный стек AWS делают вакансию привлекательной, но без указанной зарплаты сложно оценить уровень оплаты.
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Зарплата не указанаАктуальный стекЧёткая рольИнфраструктура для ИИНужен допуск
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Platform Engineer (AWS): Architecting and evolving secure, scalable cloud platforms, internal developer tooling, and automation for GovTech SaaS with an accent on AWS, platform engineering, DevOps, and AI/ML infrastructure. Focus on designing self-service infrastructure, enabling LLM deployment and orchestration, embedding security and resilience, and influencing technical strategy across product teams.
Location: Hybrid in Sydney or Wollongong, Australia
Company
hirify.global creates SaaS solutions for government and regulated industries, with development labs across Australia, New Zealand, the United States and the United Kingdom.
What you will do
Define the architecture, standards and roadmap for AWS cloud platforms, DevOps tooling and internal developer platforms.
Build scalable self-service infrastructure and developer tooling that improve engineering productivity.
Establish CI/CD, Infrastructure as Code, repository management and deployment automation practices.
Design and manage AI/ML infrastructure, including LLM management platforms, model deployment pipelines and AI service orchestration.
Embed security, governance, scalability, reliability and cost optimisation into platform engineering practices.
Partner with senior technology leaders, mentor engineers and influence architecture across product teams.
Requirements
Valid NV1 Clearance or the ability to obtain one.
Extensive experience designing and architecting complex, production-grade AWS environments.
Strong hands-on experience with platform engineering, internal developer platforms and self-service infrastructure.
Deep expertise in DevOps, CI/CD and Infrastructure as Code, including Terraform, CloudFormation or GitLab.
Experience with microservices, containers, serverless technologies, distributed systems, cloud security and networking.
Programming and automation experience with Python, Go or Java, plus experience influencing technical strategy and mentoring engineers.
Nice to have
Experience with AI/ML infrastructure, LLM platforms, model deployment or AI service orchestration.
Experience with Backstage or similar developer portal technologies.
Experience with ISO 27001, IRAP, NZISM or Essential Eight security frameworks and cloud cost optimisation.
Culture & Benefits
Work in a hybrid environment within the Corporate CloudOps department.
Collaborate with the CTO, CISO, Cloud Operations and Product Engineering teams.
Shape cloud, platform engineering, DevOps and AI capabilities across a government-focused SaaS organisation.
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