Top Software Engineer Jobs in Singapore

As a Backend Engineer, you will design scalable APIs, create Engineering Requirement Documents, and build test suites for product analytics and performance.

Develop, validate, and deploy embedded software components for mobile and IoT devices. Collaborate in an agile environment to enhance product quality and development methods.

Develop and maintain ROS-based sensor drivers and the communication bridge between ROS and MCU-based embedded control. Optimize driver performance, debug interfaces (CAN/USB/UART/I2C/SPI), implement robust protocols and bootloader update pipelines, and own end-to-end integration and testing for robot hardware-software interfaces.

Build and ship native Android features in Kotlin for an AI-enabled neobank. Design clean user flows for financial services, integrate backend APIs, improve performance and reliability, use analytics to iterate, and add on-device AI where it improves UX.

Design, build, and maintain internal platform products, APIs, and services that enable customer-facing teams to prototype and scale solutions. Own full product lifecycle from prototype to GA, collaborate with customers and field teams, leverage AI-assisted development, and deliver secure, scalable systems processing large volumes of security events.

Partner with clients to design, build, and deploy production-grade, cloud-native applications that integrate AI and data. Rapidly prototype, iterate, and productionise solutions, collaborate with product and AI teams, and act as a trusted technical advisor while delivering end-to-end solutions.

Join Canonical as a graduate software engineer to write high-quality code across the open source stack, work on Linux system-level and application projects, engage with communities, respond to customer issues, and develop security-aware software while collaborating remotely and attending biannual in-person team sprints.

Build and own end-to-end customer-facing features for web and mobile. Develop backend services and RESTful APIs in Node.js/TypeScript, responsive frontends in React/Next.js, integrate AI/LLM features, work with AWS infrastructure, ensure observability and security, contribute to CI/CD and testing, and mentor junior engineers in an Agile team.

Design, build, and maintain production-quality cloud-based systems and data pipelines for autonomous vehicle monitoring and safety assurance. Develop analytics, dashboards, alerts, and integrations, support production incidents, and apply AI/ML and data visualization to improve deployment safety and scale.

Design and implement scalable, secure backend services and workflows for product access, including user provisioning, entitlements, authorization, subscription lifecycle automation, API and event-driven integrations, observability, and AI-native workflow capabilities in a multi-tenant SaaS environment.

As a Senior Software Engineer, you'll enhance rail performance through data analytics, develop enterprise applications, and manage the SDLC in cloud environments.

The Senior Software Engineer will architect and develop the Solver network, ensuring performance, collaborating with teams, and leading engineering standards.

Design, develop, and optimize high-performance systems for a matching engine, ensuring reliability and low latency while collaborating with cross-functional teams. Work includes troubleshooting, code reviews, and leverage AI for improvements.

As a Full Stack Software Engineer, you will design, implement, and maintain applications, collaborating with teams to develop impactful digital solutions for government agencies.

Software Engineers will design and build systems, tools, and infrastructure, focusing on functional programming, primarily using OCaml and Python for various tasks.

As a Software Engineer - L3 Support, you will resolve complex Ubuntu-related issues, collaborate with teams, and participate in upstream communities to drive bug fixes and improvements.

As a Software Engineer, you will resolve complex customer issues related to Ubuntu and open source software, participate in upstream communities, and develop and review code across multiple layers of the software stack.

Senior SDET who contributes across frontend and backend systems by building and maintaining features with a strong testing mindset. Develop and maintain automated tests, improve test coverage and CI/CD, investigate bugs, support regulatory and compliance testing strategies, and balance automation with exploratory and risk-based testing.

Build and operate observability capabilities for containerized microservices and Kubernetes platforms. Design and implement software, APIs, integrations, dashboards, alerts, tracing, metrics, and automation (scripting preferred in Python). Integrate observability into AWS and CI/CD pipelines, install/configure agents, manage access and API keys, and drive proactive reliability, scalability, and performance improvements.

Develop and maintain high-performance components of a distributed data platform in C++, including storage engines, query/compute execution, RPC/networking, and distributed coordination; collaborate with research and engineering teams, troubleshoot production issues, and participate in code review and productionization.

The role involves developing world-class Salesforce applications for Service Cloud, gathering requirements, troubleshooting, and collaborating in an agile team.

You will design, develop, and maintain software products for various sectors, collaborating with cross-functional teams and ensuring high quality in delivery.

As a Senior Software Engineer, you will develop low-code solutions, collaborate with teams, implement APIs, manage data processes, and maintain cloud CI/CD pipelines.

Design, develop, and maintain cross-platform mobile applications (Flutter) and native iOS components. Collaborate with designers, product and backend teams, optimize performance, debug and resolve integration issues, publish to App Store, develop automated tests, mentor junior developers, and adopt modern Flutter/Dart and mobile best practices.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.