Cloud-Native Development Engineer - AI Infrastructure Startup

Overview

We&aposre partnering with a well-funded AI infrastructure startup that specializes in high-performance systems designed to optimize GPU utilization and deliver energy-efficient computing solutions. With substantial Series A backing and strategic partnerships with leading hardware manufacturers, they&aposre seeking a talented Cloud-Native Development Engineer to join their dynamic team.

Role

As a Cloud-Native Development Engineer, you&aposll be instrumental in building next-generation infrastructure solutions that power modern AI and machine learning workloads. You&aposll architect and implement scalable microservices using Go, while leveraging cutting-edge cloud-native technologies to create robust, distributed systems. This role offers the opportunity to work on challenging technical problems at scale, collaborating with cross-functional teams to deliver innovative solutions that directly impact the future of GPU-accelerated computing. You&aposll be responsible for designing resilient architectures, implementing best practices for containerization and orchestration, and ensuring optimal performance across distributed environments.

Requirements

We&aposre looking for an experienced engineer with a Bachelor&aposs degree in Computer Science or related field and at least 3 years of hands-on development experience. Strong proficiency in Go or Python is essential, along with deep understanding of concurrent programming patterns and system design principles. You should have practical experience with Kubernetes deployments and container orchestration, combined with a passion for writing clean, maintainable code. The ideal candidate brings prior experience from GPU computing companies or major cloud providers.

To Apply

To apply, please submit your resume to Yien Quek at [Confidential Information]. We regret to inform that only successful shortlisted candidates will be notified. Licence No: 16S8060 | Registration no: R1109830