Senior Technical Project Manager (AI Infrastructure & Kubernetes)

Hoshi Tech Venture Pte. Ltd.; Singapore; Presencial; SGD 180.000 - 270.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity incentives

Performance bonuses

Health insurance

Professional development budget

Work at AI infrastructure frontier

Descripción de la vacante

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

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Kubernetes

Agile/Scrum

Technical PM

Cross-functional leadership

Stakeholder comms

Documentation

Educación

Bachelor's degree in CS/SE/IS

Herramientas

Jira

Confluence

Linear

Descripción del empleo

Join us as Senior Technical Project Manager (AI Infrastructure & Kubernetes)!

An experienced Senior Technical Project Manager (TPM) is to lead the planning, deployment of software to large-scale AI Infrastructure and Kubernetes Platforms.

To bridge the gap between customer teams, internal engineering teams, hardware vendors, and executive leadership.

To deliver high-concurrency, compute-intensive initiatives - orchestrating GPU cluster deployments, container lifecycle orchestration, scheduling workflows, and hybrid cloud capacity planning. The ideal candidate pairs rigorous technical project governance with deep systems fluency in Kubernetes and modern AI training/inference infrastructure.

Key Responsibilities

As part of the high-performing team, you will be responsible for:

Technical Delivery & Lifecycle Execution

• Drive end-to-end delivery of enterprise-grade Kubernetes platforms powering high-performance AI workloads


• Partner with Platform, SRE, and Infrastructure Engineering teams to manage multi-tenant Kubernetes clusters across bare-metal environments.


• Lead cross-functional delivery cycles using Agile, Scrum, or Kanban frameworks, facilitating sprint ceremonies, backlog grooming, risk assessments, and milestone retrospectives.

Stakeholder Alignment & Communication

• Act as the strategic liaison between Infrastructure, Platform, and implementation teams.


• Translate complex architectural decisions, system bottlenecks, and technical dependencies into clear roadmaps and progress reports for executive stakeholders.


• Maintain comprehensive technical documentation, dependency matrices, project charters, and post-incident review (PIR) action items.

Operational Excellence & Compliance

• Coordinate security hardening, access controls (RBAC), and governance frameworks for container platforms across regulatory frameworks (SOC 2, ISO 27001, HIPAA).


• Establish engineering KPIs, Service Level Objectives (SLOs), and delivery velocity metrics to continuously improve cluster reliability and deployment cadence.

Job Requirements

We are looking for a professional who possess:

• 6+ years of experience in technical project or program management experience delivering complex infrastructure, distributed systems, or cloud platform initiatives.


• Working knowledge of Kubernetes architecture (operators, control plane, node scheduling, CSI/CNI plugins, ingress controllers, multi-cluster federation).


• Familiarity with the AI infrastructure like GPUs, Network technologies and storage technologies.


• Experience with large-scale accelerator architectures (GPU topologies, RDMA, high-speed NVMe storage).


• Demonstrated mastery of Agile/Scrum delivery tools (Jira, Confluence, Linear) with a track record of identifying critical path risks and de-bottlenecking technical teams.


• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical industry experience.


• Professional certifications such as PMP, PMI-ACP, Certified ScrumMaster (CSM), or equivalent will be preferred.


• Hands-on foundational platform credentials such as Certified Kubernetes Administrator (CKA) or cloud architect certifications (AWS Solutions Architect, GCP Cloud Architect).


• Background as a systems engineer, DevOps/SRE, or platform engineer prior to pivoting into technical project management.

What We Offer

• Competitive base salary with equity incentives and performance bonuses.


• Comprehensive health, dental, and vision insurance.


• Generous professional development budget for conferences, certifications, and technical training.


• Opportunity to work at the forefront of generative AI infrastructure scaling and cloud-native systems.