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2 дня назад

Sr. Staff Platform Engineer (AI)

154 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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

Sr. Staff Platform Engineer (AI): Designing and implementing scalable, high-performance backend services and APIs for a cloud-native Zero Trust Exchange platform with an accent on distributed systems and AI-driven infrastructure. Focus on building robust backend architecture, mentoring junior engineers, and ensuring system reliability for large-scale AI inference and LLM deployment.

Location: Must be based in Bellevue, WA (3 days in office required)

Salary: $154,000 - $220,000 USD

Company

hirify.global is an AI-forward enterprise accelerating digital transformation through a cloud-native Zero Trust Exchange platform that secures users, devices, and applications globally.

What you will do

  • Design and implement scalable, high-performance backend services and APIs.
  • Ensure code quality through unit, integration, and performance testing, while optimizing system performance.
  • Mentor junior engineers and uphold engineering best practices through code reviews.
  • Collaborate with cross-functional teams to deliver integrated solutions within Agile/Scrum frameworks.
  • Participate in on-call rotations to maintain a highly available engineering platform.

Requirements

  • Must be based in or able to commute to Bellevue, WA (3 days/week in office).
  • 8+ years of experience in modern Object-Oriented programming.
  • Expertise in designing and resolving issues in large-scale distributed systems.
  • Hands-on experience with Docker, Kubernetes, and major cloud platforms (AWS, GCP, or Azure).
  • Foundational understanding of AI/ML technologies and their application in functional domains.
  • Bachelor's degree in Computer Science or equivalent professional experience.

Nice to have

  • Experience designing infrastructure for LLM deployment, orchestration, or real-time AI inference.
  • Proficiency with AI code-assistance tools like Windsurf, Cursor, or Claude.
  • Exposure to DevOps automation workflows and CI/CD pipelines.

Culture & Benefits

  • Comprehensive health plans and wellness support.
  • Generous time off policies including vacation and sick leave.
  • Parental leave options and retirement planning.
  • Education reimbursement programs.
  • Collaborative, high-accountability culture focused on transparency and constructive debate.

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