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9 дней назад

Senior Software Engineer, Platform (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
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
Senior Software Engineer, Platform (AI Infrastructure): Building observability capabilities, internal tooling, and monitoring for a large-scale AI cloud platform with an accent on AI/ML application monitoring, low-level infrastructure metrics, and developer productivity. Focus on developing Prometheus exporters, integrating automated testing into CI/CD pipelines, and driving platform experiments from concept through production deployment.

Location: Singapore

Company

hirify.global Technologies develops and operates sustainable AI infrastructure and a large-scale GPU cloud platform for AI model training and deployment across Asia Pacific.

What you will do

  • Develop and integrate AI/ML application-level monitoring, including model accuracy tracking and performance observability.
  • Build purpose-specific Prometheus exporters for low-level component and interconnect fabric monitoring.
  • Enhance internal dashboards, CLI tools, automation scripts, and self-service portals to improve developer and operations productivity.
  • Expand automated unit, integration, security, load, and end-to-end test coverage.
  • Drive new product experiments from concept through production deployment and adoption.
  • Contribute to AI-augmented development tools and workflows.

Requirements

  • 7+ years of software engineering experience, including at least 3 years focused on platform or observability engineering.
  • Bachelor’s degree in computer science or a related technical field.
  • Strong experience with Go, Python, or Node; SQL, PromQL, LogQL, and GraphQL; and observability tools such as Loki, Grafana, Tempo, Prometheus, Thanos, or ClickHouse.
  • Experience with Kafka or Pulsar, cloud platforms, Docker, configuration management, and CI/CD pipelines.
  • Experience with automated testing frameworks and AI-augmented development tools and workflows.
  • Clear and effective written and spoken English communication.

Nice to have

  • Knowledge of Linux internals, networking stacks, distributed storage, or high-performance computing.
  • Experience in high-growth startups or regulated industries with SOC 2 Type 2 and ISO 27001 requirements.

Culture & Benefits

  • Full-time employment within an engineering and technology team.
  • Work focused on sustainable, energy-efficient AI infrastructure.
  • Inclusive workplace welcoming candidates from diverse backgrounds.

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