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7 часов назад

Senior Software Engineer - Platform (Rust, AI)

170 000 - 230 000$
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
Senior Software Engineer - Platform (Rust, AI): Building foundational infrastructure, frameworks, and distributed systems for an enterprise Agentic AI platform with an accent on Rust, scalable data systems, and ML workflow execution. Focus on designing high-performance platform components, supporting AI workloads, and solving production scalability and reliability challenges with Kubernetes and Docker.

Location: Remote USA; US Citizenship or Greencard required

Salary: $170,000–$230,000 USD annually

Company

hirify.global builds secure, reliable AI infrastructure for government and enterprise systems, with a focus on mission-critical platforms and human-centered workflows.

What you will do

  • Design and develop foundational components and frameworks for an Agentic AI platform.
  • Build platform solutions that support multiple products and engineering teams.
  • Collaborate with machine learning engineers to develop infrastructure for enterprise ML workflows.
  • Study and apply current design patterns, techniques, and technologies for platform and framework development.
  • Provide production support, troubleshoot issues, and address performance, scalability, and reliability challenges.

Requirements

  • US Citizenship or Greencard required due to US Government contract requirements.
  • 5–8+ years of software and platform engineering experience with large-scale distributed systems.
  • Strong experience with Rust and high-performance systems; performance-critical areas are developed in Rust.
  • Experience building platform infrastructure and backend systems for multiple products and engineering teams.
  • Expertise in database architecture, distributed databases, storage and indexing systems, data modeling, schema design, and high-throughput, low-latency data access.
  • Experience designing systems for AI and machine learning workloads, plus familiarity with workflow engines, execution runtimes, and AI orchestration frameworks.

Nice to have

  • Startup experience or comfort working in 0→1 product environments.
  • Familiarity with Kubernetes.
  • Understanding of DevOps practices and CI/CD pipelines.

Culture & Benefits

  • Emphasis on collaboration, psychological safety, inclusion, and technical excellence.
  • Growth-oriented environment focused on learning new tools and technologies.
  • Work on secure AI systems supporting government and enterprise use cases.

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