Member of Technical Staff, Cloud Orchestration

INFERACT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 167,000 - 335,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Equity

Job summary

Inferact is seeking a Cloud Orchestration Engineer to scale vLLM deployments across multi-cloud and on-prem environments. You’ll design cluster management, deployment automation, and production monitoring to keep AI models running reliably at scale.

Ideal candidates have Kubernetes expertise, experience building operators, and proficiency in Python, Rust, or Go with IaC tooling. Fresh graduates welcome to apply.

Qualifications

• Bachelor's degree or equivalent in CS/engineering.
• Experience with Kubernetes at scale, and deploying operators.
• Proficiency in Python, Rust or Go and IaC tools (Terraform, Helm, etc).
• Experience managing GPU clusters and multi-cloud/on-prem infra.
• Ability to design and operate custom Kubernetes operators.

Responsibilities

• Design cluster management and deployment automation at scale.
• Build production monitoring and observability to reduce downtime.
• Ensure reliable, debuggable and recoverable vLLM deployments.
• Collaborate with global teams to support AI model serving.
• Optimize GPU scheduling and resource usage across platforms.

Skills

Kubernetes

Container Orchestration

Kubernetes Operators

Python

Go

Rust

Terraform

Helm

GPU Clusters

Cloud Platforms

Education

Bachelor's degree or equivalent experience in CS/engineering

Tools

Terraform

Helm

Job description

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware—a position that took years to build.

About the Role

We're looking for an cloud orchestration engineer to build the operational backbone that keeps vLLM running reliably at massive scale. You'll design the systems for cluster management, deployment automation, and production monitoring that enable teams worldwide to serve AI models without friction. You'll ensure that vLLM deployments are observable, debuggable, and recoverable, turning operational complexity into infrastructure that just works.

Skills and Qualifications

Minimum qualifications:

Bachelor's degree or equivalent experience in computer science, engineering, or similar.

Strong experience with Kubernetes and container orchestration at scale.

Experience designing and implementing custom Kubernetes operators.

Proficiency in Python/Rust/Go and infrastructure-as-code tools (Terraform, Helm, etc).

Experience managing GPU clusters and debugging hardware issues.

Ability to work across cloud platforms (AWS, GCP, Azure) and on-premise infrastructure.

Preferred qualifications:

Experience with ML-specific orchestration tools (Ray, Slurm).

Knowledge of GPU scheduling, multi-tenancy, and resource optimization.

Familiarity with vLLM deployment patterns and configuration.

Track record of improving operational reliability for ML systems.

Bonus points if you have:

Experience deploying inference systems on large-scale GPU (1,000+) clusters.

Logistics

Fresh graduates are welcome to apply. Minimum years of work experience: 0.

Compensation: Monthly salary of S$15,000 to S$30,000, depending on background, skills, and experience, plus equity.

Benefits: Inferact offers a generous benefits package, including medical, dental, and vision coverage.