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4 дня назад

Platform Support Engineers (AI)

Формат работы
remote (только Singapore)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Platform Support Engineers (AI): Supporting and improving hybrid and self-hosted agent observability deployments across AWS, Azure, and GCP with an accent on Kubernetes, Terraform, cloud infrastructure, and backend reliability. Focus on diagnosing complex performance and networking issues, leading customer-impacting incidents, shipping infrastructure fixes, and building self-service diagnostics.

Location: Singapore; remote

Company

hirify.global provides an agent observability platform for tracing agents, running evaluations, and improving their production performance.

What you will do

  • Support hybrid and self-hosted deployments across AWS, Azure, and GCP from installation through ongoing operation.
  • Debug Kubernetes workloads, Terraform state, networking, VPC configuration, IAM permissions, TLS, and cloud-provider issues.
  • Diagnose backend performance and reliability problems using logs, metrics, and traces.
  • Lead incident response for customer-impacting infrastructure issues and participate in the on-call rotation.
  • Submit fixes to backend services, Terraform modules, and deployment tooling.
  • Build diagnostics, health checks, preflight validation, self-service tools, runbooks, and deployment documentation.

Requirements

  • Experience in customer-facing technical support, SRE, DevOps, solutions architecture, infrastructure engineering, or backend/infrastructure engineering.
  • Strong Kubernetes fundamentals, including deploying, debugging, and scaling workloads.
  • Hands-on Terraform experience and depth in at least one major cloud platform, preferably AWS.
  • Comfort working in Python, TypeScript, or Go backend codebases to reproduce and fix issues.
  • Fluency with observability tooling and clear communication during high-pressure incidents.
  • Ownership of customer problems through resolution.

Nice to have

  • Experience supporting self-hosted or on-premises enterprise software in regulated environments.
  • Multi-cloud experience with Azure or GCP alongside AWS.
  • Experience with Postgres, ClickHouse, or similar analytical data stores.
  • Background in observability, ML infrastructure, developer platforms, LLM APIs, or production agent evaluation.
  • Experience building support or diagnostic tooling that reduced ticket volume.

Culture & Benefits

  • Work on complex infrastructure problems supporting AI product teams.
  • Join an early team and help shape operating standards, tooling, and technical quality.
  • Work closely with customers and engineering teams with authority to resolve issues in either direction.
  • Medical, dental, and vision insurance.
  • Flexible time off, daily meals and beverages, a Wi-Fi and cellphone stipend, salary, and equity.

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