Engineering Manager, Platform (AI)

Location: Singapore

Company

hirify.global Technologies develops and operates energy-efficient AI infrastructure, including the hirify.global AI Cloud GPU platform, liquid cooling systems, energy management, and AI software orchestration.

What you will do

• Lead the Platform Engineering and Observability team, including hiring, coaching, performance management, organisation design, and headcount planning.
• Own end-to-end delivery across multiple squads, coordinating roadmaps, dependencies, prioritisation, sprint planning, release gates, and delivery metrics.
• Set technical direction for bare-metal GPU compute, high-performance networking, internal platform services, self-service tooling, and observability products.
• Own production reliability, security, SLOs, on-call practices, change management, L3 incident resolution, SLA-breach response, and post-mortems.
• Govern the production path for AI-generated code and agentic workloads while extending SOC 2 Type 2 and ISO 27001 controls.
• Represent engineering to the CTO, product and architecture teams, delivery and operations, and enterprise or government customers.

Requirements

• Bachelor’s degree in computer science or a related technical field.
• 10+ years in platform or infrastructure engineering, including substantial hands-on experience as a senior or staff engineer.
• 4+ years managing engineers with direct ownership of hiring, development, and performance for a team of at least 8 engineers.
• Strong experience with Kubernetes, infrastructure-as-code, CI/CD, distributed systems, Go, and Python.
• Experience operating observability platforms at scale across metrics, logs, traces, and streaming pipelines.
• Experience with production reliability, security, compliance, cost management, and frameworks such as SOC 2 Type 2 or ISO 27001; clear written and verbal English is required.

Nice to have

• Experience running a platform as a product and measuring adoption, value, and developer experience.
• Experience with AI-assisted development and agentic AI workloads.
• Experience briefing enterprise or government customers on technical trade-offs.

Culture & Benefits

• Work at the intersection of sustainability, artificial intelligence, and next-generation infrastructure.
• Collaborate closely with founders and experienced technical leaders in an emerging company.
• Contribute to AI infrastructure designed to improve efficiency, scalability, and affordability.
• Participate in the incident-response on-call rotation and travel overseas occasionally when required.
• Work in an equal-opportunity environment that values diverse backgrounds and authentic collaboration.