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Staff Database Internals Engineer (Distributed Systems)

Формат работы
remote (только USA)
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 Database Internals Engineer (Distributed Systems): Designing and building control plane systems for the orchestration and coordination of distributed infrastructure with an accent on lifecycle management, API design, and scalable system behavior. Focus on implementing secure exposure, provisioning, and scaling mechanisms within a greenfield environment using AI-assisted development.

Location: Remote (Must be based in California, USA)

Company

hirify.global activates enterprise intelligence by unifying data, knowledge, and business context through its Autonomous Knowledge Platform.

What you will do

  • Design and build control plane systems responsible for lifecycle management, orchestration, and coordination of distributed infrastructure.
  • Define infrastructure provisioning and scaling through APIs and service-based interfaces.
  • Shape system behavior regarding scaling, availability, and multi-environment operation.
  • Design identity and access models, including integration with OIDC, SAML, or similar frameworks.
  • Build or extend control mechanisms such as controllers, coordination services, or workflow-driven provisioning systems.
  • Utilize AI-assisted tools to accelerate implementation and explore architectural designs.

Requirements

  • Experience designing and building distributed systems, platform services, or control layers.
  • Strong familiarity with Kubernetes and cloud-native architectures.
  • Experience designing APIs, service orchestration, and system coordination patterns.
  • Understanding of identity, access, and security models in distributed systems (OIDC, SAML).
  • Programming experience in backend languages such as Go, Java, or Python.
  • Must be located in California, USA.

Nice to have

  • Background in big data, data pipelines, or analytical platforms.
  • Familiarity with query engines or analytical database architectures (Trino, Presto, Spark, DataFusion).
  • Experience extending open-source control planes, such as Kubernetes operators or custom controllers.
  • Experience with eBPF, kernel performance tuning, or NUMA-aware hardware configuration.

Culture & Benefits

  • People-first culture that prioritizes employee well-being and personal growth.
  • Flexible work model based on trust and autonomy.
  • Inclusive environment that celebrates diversity and equal opportunity.

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