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1 день назад

Staff Software Engineer (Container Platform)

236 000 - 339 200$
Формат работы
onsite
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

Staff Software Engineer (Container Platform): Building and scaling the foundational container platform for production and AI/ML workloads across AWS, Azure, and GCP with an accent on Kubernetes fleet management and automation. Focus on designing multi-cloud abstractions and improving the developer experience for thousands of internal engineers.

Location: Menlo Park, CA, USA (Onsite)

Salary: $236,000 – $339,200

Company

hirify.global is a data cloud company powering the era of the agentic enterprise through AI-native infrastructure and scalable cloud services.

What you will do

  • Own the design and delivery of complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling.
  • Drive cross-team technical improvements from architectural design through to wide-scale adoption.
  • Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality.
  • Act as a technical anchor for the team, raising engineering standards and mentoring other engineers.
  • Measure success by the velocity and reliability of the experience for thousands of internal engineers.

Requirements

  • Significant experience designing and operating large-scale distributed systems in production.
  • Expertise in Kubernetes or similar orchestration systems at scale, including cluster lifecycle and fleet management.
  • Proficiency in Go or a comparable systems language.
  • Experience operating across multiple cloud environments (AWS, Azure, GCP).
  • Must be based in or able to work from Menlo Park, CA.

Nice to have

  • Experience with GPU infrastructure or AI/ML training workloads at scale.
  • Open source contributions to Kubernetes or related ecosystem projects.

Culture & Benefits

  • Fast-paced, innovative environment focused on redefining how work gets done via AI.
  • Culture of low-ego individuals with an experimental mindset.
  • Focus on treating AI as a high-trust collaborator to accelerate impact.
  • Opportunity to work on foundational infrastructure with a massive blast radius.

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