Software Developer - GPU Cloud & AI Infrastructure

Singtel โ€” Singapore ยท Posted ~2 weeks ago

Mid Full-time

Skills

Software development Cloud infrastructure Microservices High-performance computing Distributed systems Concurrent processing GPU Cloud

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Summary

Develop scalable cloud-native software supporting GPU infrastructure, AI workloads, and enterprise AI applications. You will work on high-performance computing environments, microservices, concurrent processing, and large-scale platform capabilities for AI training and deployment.

Highlights

Opportunity to develop scalable GPU cloud infrastructure and AI services in a modern cloud-native environment. The role provides exposure to high-performance computing, microservices, large-scale workloads, and enterprise AI infrastructure.

Description

Be a part of something BIG! We are looking for a Software Developer to join the GPUaaS software development team under Singtel's RE initiative. RE:AI is Singtel's sovereign AI cloud and AI infrastructure platform, enabling enterprise-grade AI capabilities for enterprises, government agencies, research institutions, and academia. As part of this team, you will contribute to the development of scalable GPU cloud infrastructure, AI services, and cloud-native platform capabilities that support AI model training, deployment, and enterprise AI applications. This role offers the opportunity to work on high-performance computing environments, modern cloud technologies, microservices architectures, and large-scale AI infrastructure platforms. Key Responsibilities Platform Development Develop and enhance scalable cloud platform capabilities to support GPU infrastructure and AI workloads.Build systems capable of handling high-volume workloads and concurrent processing requirements. Architecture & Design Design and implement infrastructure-agnostic software solutions that support high-performance computing and GPU orchestration.Contribute to architectural decisions that improve scalability, reliability, and maintainability. Software Engineering Develop high-quality, maintainable, and efficient software using Go (Golang), Python, and Java.Integrate with backend services, platform infrastructure, and external systems. APIs & Microservices Design, develop, and maintain RESTful APIs and microservices.Ensure services are scalable, secure, and performant. Front-End Development Build and maintain modern web applications using React and related front-end technologies.Collaborate with stakeholders to deliver intuitive and responsive user experiences. Performance & Reliability Monitor, troubleshoot, and optimize application performance.Identify and resolve system bottlenecks, latency issues, and scalability challenges. AI Platform Enablement Develop platform features that integrate with machine learning workflows, big data systems, and cloud-native services.Support automation, orchestration, and operational efficiency across the AI platform ecosystem. Engineering Best Practices Follow secure coding standards, software development best practices, and DevOps principles.Participate in code reviews, testing, and continuous improvement initiatives. Requirements Strong experience with one or more of the following: Go (Golang), Python, Java (Java 17 or above preferred)Experience with PostgreSQL, MySQLExposure to big data platforms or storage technologies is advantageous.Experience with HTML, CSS, JavaScript / TypeScriptExperience with modern front-end frameworks or libraries such as React (preferred), Vue.js, AngularExperience with Docker, Kubernetes, Helm, Jenkins, AnsibleExperience with Kafka, MQ, Other publish-subscribe messaging systemsFamiliarity with REST APIs, SDK integrations, Swagger/OpenAPI, WSDL-based servicesSource Control & Build ToolsGit, Maven, GradleExperience with one or more of the following:AWSGoogle Cloud Platform (GCP)Microsoft AzurePrivate or sovereign cloud environments Preferred Experience Experience developing enterprise-grade, configurable, and scalable software products.Strong understanding of cloud-native architectures, SaaS platforms, multi-tenancy concepts, and Infrastructure as Code (IaC).Exposure to Artificial Intelligence (AI), machine learning deployment, MLOps, GPU infrastructure, or high-performance computing environments is advantageous.Strong analytical and problem-solving skills.Ability to work effectively within cross-functional engineering teams.Strong written and verbal communication skills. Why Join Us Build next-generation AI cloud and GPU infrastructure platforms.Work with modern technologies across cloud, AI, microservices, and high-performance computing.Contribute to Singapore's sovereign AI ecosystem.Collaborate with experienced engineers, architects, and AI specialists on large-scale technology initiatives. Rewards that Go Beyond Flexible work arrangementsFull suite of health and wellness benefits Ongoing training and development programs Internal mobility opportunities Your Career Growth Starts Here. Apply Now!