Software Developer

Singtel is hiring a Software Developer in Singapore, Singapore. Level rates it ; you can apply on Singtel.

Level's read on this job

Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
Tools and skills the posting cites include MLOps.
Level lists 496 other open roles at Singtel.
The role was posted within the past week.

AI in this role

ml-ops

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, MySQL
Exposure to big data platforms or storage technologies is advantageous.
Experience with HTML, CSS, JavaScript / TypeScript
Experience with modern front-end frameworks or libraries such as React (preferred), Vue.js, Angular
Experience with Docker, Kubernetes, Helm, Jenkins, Ansible
Experience with Kafka, MQ, Other publish-subscribe messaging systems
Familiarity with REST APIs, SDK integrations, Swagger/OpenAPI, WSDL-based services
Source Control & Build Tools Git, Maven, Gradle
Experience with one or more of the following:

AWS
Google Cloud Platform (GCP)
Microsoft Azure
Private 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 arrangements
Full suite of health and wellness benefits
Ongoing training and development programs
Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

How we rate this

Software Developer at Singtel rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Developer is an open job at Singtel.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Singapore, Singapore.
The job was posted on October 27, 2026.
Applications are handled by Singtel. Apply on Singtel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML Ops

Also common in software engineer jobs at this level

LLM C++AI agents Generative AI RAG Rust

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: ML Ops. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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