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9 дней назад

Principal Platform Engineer (Site Reliability/AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Platform Engineer (Site Reliability/AI): Building AI-powered SRE platforms and systems that support cloud access policies, cost governance, observability, operational excellence, and reliability across UiPath with an accent on distributed systems, scalability, and production operations. Focus on designing critical-path platforms, driving adoption through integrations, handling live-site escalations, and improving reliability through architectural changes and postmortems.

Location: Bangalore, India

Company

hirify.global develops enterprise automation software and AI-powered platforms that help organizations improve how work gets done.

What you will do

  • Design, build, and ship AI-powered SRE platform systems used by engineering teams in their critical paths.
  • Participate in live-site monitoring rotations, handle escalations, and drive effective mitigations and postmortems.
  • Improve platform availability, scalability, performance, reliability, and operational excellence based on production learnings.
  • Build integrations and onboard engineering teams to the platforms by removing adoption friction and measuring outcomes.
  • Plan, estimate, schedule, and staff technical work while mentoring software engineers through hands-on coaching.
  • Influence engineering-wide processes, architecture, and best practices.

Requirements

  • 10+ years of experience architecting and engineering large-scale, distributed commercial applications and services.
  • Experience building complex internal platforms adopted by 10+ teams in their critical paths.
  • Production experience building and maintaining complex AI-powered applications.
  • Proficiency in an object-oriented language such as C#, C++, Go, or Python, with strong computer science fundamentals.
  • Deep knowledge of data structures, algorithms, multithreading, synchronization, asynchronous patterns, cloud programming, microservices, HTTP applications, and web services.
  • Experience with at least one cloud provider and managed services, including Azure, AWS, GCP, AKS, or GKE; database experience is also required.

Nice to have

  • Experience working with or managing production Kubernetes infrastructure.

Culture & Benefits

  • Work in a fast-moving, globally distributed engineering organization focused on automation and human achievement.
  • Many roles support flexibility in when and where work gets done, depending on business and team needs.
  • Inclusive workplace providing equal opportunities and reasonable accommodations.
  • Interview recording and transcription may be used with candidate consent to support the evaluation process.

Hiring process

  • Applications are assessed on a rolling basis, and the requisition may close when a qualified candidate is selected.
  • Candidates may consent to AI-assisted interview recording and transcription for internal evaluation.

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