Senior TPM: AI Infra & Kubernetes for GPU Scale

Hoshi Tech Venture Pte. Ltd.

Singapore

On-site

SGD 180,000 - 270,000

Full time

6 days ago
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Benefits offered by this job

Equity incentives
Performance bonuses
Health insurance
Professional development budget
Work at AI infrastructure frontier

Job summary

Hoshi Tech Venture Pte. Ltd. is seeking a Senior Technical Project Manager (AI Infrastructure & Kubernetes) to lead planning and deployment of software for large-scale AI infrastructure and Kubernetes platforms.

You will bridge gaps between customer teams, internal engineering, hardware vendors, and executive leadership. The role focuses on high-concurrency, compute-intensive projects, GPU cluster orchestration, container lifecycle management, scheduling workflows, and hybrid cloud capacity

Qualifications

  • 6+ years of experience delivering complex infrastructure, distributed systems, or cloud platform initiatives.
  • Deep systems fluency in Kubernetes and AI training/inference infrastructure.
  • Experience with Agile/Scrum delivery and cross-functional teams.
  • Bachelor's degree; professional certifications (PMP/CSM) preferred.
  • CKA or cloud architect certifications are a plus.

Responsibilities

  • Drive end‑to‑end delivery of enterprise‑grade Kubernetes platforms powering high‑performance AI workloads.
  • Partner with Platform, SRE, and Infra teams to manage multi‑tenant clusters across bare‑metal environments.
  • Lead cross‑functional delivery cycles using Agile, Scrum, or Kanban; facilitate ceremonies and risk reviews.

Skills

Kubernetes
Agile/Scrum
Technical PM
Cross-functional leadership
Stakeholder comms
Documentation

Education

Bachelor's degree in CS/SE/IS

Tools

Jira
Confluence
Linear

Job description

Hoshi Tech Venture Pte. Ltd. is seeking a Senior Technical Project Manager (AI Infrastructure & Kubernetes) to lead planning and deployment of software for large-scale AI infrastructure and Kubernetes platforms.

You will bridge gaps between customer teams, internal engineering, hardware vendors, and executive leadership. The role focuses on high-concurrency, compute-intensive projects, GPU cluster orchestration, container lifecycle management, scheduling workflows, and hybrid cloud capacity

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