Top Software Engineer Jobs in Singapore

Design, develop, and enhance payment and transaction systems on a microservice platform. Build high-concurrency, high-availability services using Java/Kotlin, mentor engineers, experiment with new technologies, and improve architecture for risk and fraud detection.

Lead the development and testing of Ambiq's Zephyr software, including driver and software testcase development, maintaining compliance, and solving issues in collaboration with global teams.

Lead and operate high-throughput Real-Time Payments services: build and scale microservices, implement GemFire/Geode low-latency patterns, manage incidents (P1/P2), deploy cloud-native solutions on AWS, implement AI-assisted observability/operations, ensure release quality, compliance, and cross-team collaboration.

Lead a cross-functional engineering team to design, build, and operate low-latency, mission-critical trading services. Own system design, Java development, API design, CI/CD, reliability, observability, incident response, and mentoring to meet scalability and security goals.

Design, build, and maintain cross-platform mobile apps using Flutter, and implement platform-specific features in Kotlin and Swift. Integrate REST APIs and third-party SDKs, optimize performance, troubleshoot production issues, participate in design reviews, and contribute to CI/CD and automated testing to deliver scalable, high-quality mobile experiences.

Design, develop, test, and deploy high-performance backend services for trading connectivity. Integrate liquidity providers, own end-to-end integrations, troubleshoot complex issues, and improve platform scalability, reliability, security, and performance while collaborating with product, support, clients, and other engineering teams.

Design, implement, validate and deploy embedded software components and operating systems for mobile and IoT devices (payments, digital identity). Work in agile teams with global partners, improve development methodology, and contribute to software security and connectivity protocol development.

Work with a team to design, develop, and validate desktop and mobile applications (core and UI) for secure identity documents. Build mobile demo apps for SDKs, test and improve UI/UX, integrate with Jenkins CI, and perform validation and assigned tasks while learning through coaching and feedback.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.

Work on prototyping and researching GenAI solutions (RAG, agentic AI, fine-tuning). Build PoCs, develop tools aligned to business use cases, experiment with open-source AI stacks and industrial AI services, and support prototype industrialization under supervisor mentorship.

Twelve-week Software Engineering internship (Singapore) working on real production projects under mentor guidance. Interns learn and use OCaml (and sometimes Python), contribute maintainable code across diverse systems, receive training in Hong Kong, and visit the New York office. Full availability for the program dates required; flights and accommodation provided.

Early-career software engineer in a fixed-term accelerator: develop and maintain core products, compile and implement interface documentation, troubleshoot QA issues, and assist customer support to classify and resolve customer problems for system improvement.

Build and maintain ML infrastructure: training pipelines, data workflows, model integration and serving, tooling for experimentation, optimization of data pipelines, and collaboration with researchers to productionize models.

Design, develop, and deploy backend software solutions, create scalable systems, and collaborate with product managers and engineers on product development.

Join a business-critical internal tools team as a Software Engineering Intern building and automating internal tools and workflows. Contribute production-quality backend and frontend code, work with databases and SQL, collaborate on system design, participate in code reviews, and gain exposure to large-scale production systems and AI-enabled automation where applicable.

Design and implement platform capabilities to support AI/ML lifecycle (training, deployment, monitoring, management) and integrations with ecosystem frameworks. Contribute to open-source AI/ML projects, collaborate with the AI community, and mentor junior engineers.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.

Build and maintain cross-platform Electron desktop apps focusing on reliability, performance, and real-time behavior. Implement desktop features (file access, notifications, auto-updates), integrate AI-powered backend services, optimize startup/memory, manage large local state, and ensure stability across macOS and Windows.

Design, build, and operate the citizen‑developer platform and underlying Temporal-based workflow infrastructure. Improve developer experience, establish secure SDLC and guardrails, create self-serve tooling, contribute to Kubernetes/GitOps foundation, participate in code reviews and on-call incident response, and document standards and reference architectures for platform users.

Design, build, and scale backend services in Golang powering onboarding and KYC across products and regions. Own end-to-end delivery, improve onboarding conversion via data-driven changes, lead cross-cutting design reviews, and ensure security, operational integrity, and scalable architecture for rapid global expansion.

The Software Engineer will develop and maintain cross-platform desktop applications using Electron, focusing on performance, reliability, and real-time updates for AI-powered features.

Design, develop, test, and maintain front-end applications for wealth management. Build reusable UI components, ensure accessibility and consistency, integrate with RESTful APIs, participate in code reviews, troubleshoot front-end issues, and collaborate with cross-functional teams.

Design, build, and maintain a web-based semantic map annotation editor and 3D visualizations that handle terabyte-scale map data. Optimize performance, automate map generation, integrate with ML teams, write design docs, resolve issues, and improve user workflows for efficient map editing and validation.

Lead design and implementation of cloud-native IAM and account infrastructure. Define technical strategy, build high-availability backend services in Java/Kotlin, enforce security protocols (OAuth2/OIDC/SAML), optimize scalable infrastructure, mentor engineers, and align roadmaps with Product, Security, and Compliance for global regulatory requirements.

Design, build, and operate scalable infrastructure and platforms supporting large-scale applications and AI/ML workloads. Optimize performance, reliability, cost, and observability; automate provisioning and deployments (IaC); collaborate across engineering and operations to troubleshoot, enforce governance, and drive continuous improvement.