Top Software Engineer Jobs in Singapore

Leads hands-on engineering of high-performance Linux infrastructure for low-latency electronic trading. Designs deployment models, containerized platforms, provisioning pipelines, and production automation; optimizes kernel, CPU, NUMA, networking, and timing performance. Drives responsible AI-assisted engineering practices, governance, vendor collaboration, reliability, and reusable solutions. Partners with trading businesses, influences technical strategy and budgets, and mentors engineers and SRE teams.

Lead design and deliver high-quality, secure Java-based microservices and web applications. Drive architecture reviews, operational stability, CI/CD automation, and adoption/governance of AI-assisted engineering practices while mentoring engineers and promoting reuse and secure SDLC standards.

Investigate and resolve technical issues for developers on an unannounced AAA game project. Responsibilities include debugging builds and systems, applying corrective measures, routing issues to system owners, supporting cross-disciplinary teams, testing features, writing quality code, estimating tasks, and participating in code reviews.

Develop and maintain scalable, secure backend services and APIs using Golang. Participate across the software development lifecycle, including architecture, testing, deployment, monitoring, and maintenance. Collaborate with cross-functional teams, contribute to code reviews and technical documentation, and improve system performance, reliability, and scalability. Build automated unit, integration, and end-to-end tests for fintech platform services.

Develop and maintain secure, reliable, cross-platform desktop software for Windows, macOS, and Linux. Design solutions, write automated tests, support CI/CD, improve existing systems, address technical debt, and participate in code and design reviews. Collaborate with engineers and stakeholders, investigate technical challenges, and use AI-assisted development tools to improve engineering productivity while validating quality, security, and maintainability.

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 and optimize high-frequency trading infrastructure, including exchange connectivity, market-data systems, trading simulations, risk tools, and performance tracking. Develop low-latency network and systems software, analyze market data, and build tools for identifying trading patterns. Candidates should have a computer science degree, C++ development experience, strong data structures and algorithms knowledge, and familiarity with high-throughput systems, Linux, and networking.

Participate in banking product configuration development and validation with NPI engineers. Develop standalone or web-based internal tools, while gaining experience across the software development lifecycle, including planning, development, testing, and integration. The role includes mentorship from experienced product and software engineers and requires a five- to six-month commitment, preferably full-time.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Build scalable, low-latency backend APIs, event-driven services, integration layers, and microservices supporting personalization and recommendation experiences. Partner with AI/ML and data engineers to deploy models, expose AI services, and develop React applications. Improve security, observability, reliability, performance, scalability, and operational efficiency while using AI-assisted engineering tools to enhance delivery and code quality.

Build and operate scalable, low-latency backend services, APIs, event-driven systems, integrations, and frontend applications supporting membership, loyalty, rewards, and consumer engagement. Configure and integrate Antavo with commerce, CRM, CDP, marketing, and data platforms. Apply secure, observable, resilient engineering practices, troubleshoot production issues, and optimize performance. The role requires strong Java and Spring Boot expertise, plus working knowledge of React, Node.js, Kafka, and SQL/NoSQL databases.

Build scalable, low-latency backend APIs, event-driven services, model-serving layers, and integrations supporting real-time and batch personalization and recommendation experiences. Design reliable, secure, observable distributed systems using Java and Spring Boot, optimize performance and operational efficiency, and integrate LLM and AI services into production applications. Collaborate with engineering leadership and use AI-assisted development tools to improve delivery and code quality.

Designs and executes functional, integration, API, automated, exploratory, and end-to-end tests for personalization, recommendation, experimentation, and consumer intelligence capabilities. Builds test suites, validates AI-driven outputs and consumer journeys, manages test data, performs cross-browser testing, partners with engineering and product teams, and improves automation coverage, regression efficiency, and defect detection.

Lead software engineering work for JPMorganChase’s Post Trade Technology team, designing, developing, testing, troubleshooting, and supporting secure, scalable production applications. The role involves code review, operational stability improvements, cloud-native development, SDLC practices, agile delivery, and evaluating vendor architectures. It also leads responsible adoption of AI-assisted engineering tools for coding, testing, code review, incident analysis, and automation.

Develop desktop and cloud-based software tools for Renesas microcontrollers, translating requirements into design documents and production code. Create test specifications, perform software testing, and provide customer technical support, training, and documentation for microcomputer applications. The role requires strong programming skills in Java, TypeScript, and Python, familiarity with web front-end development and object-oriented design, and effective collaboration and communication skills.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

Develop and maintain Python and C++ software for robotic device control, computer vision, AI training and inference, and low-code robotics programming. Collaborate with product and engineering teams, support integration and stress testing, and troubleshoot production issues with internal and external users. The role involves robotics, AI, system design, testing, and production software support in an industrial automation environment.

Design, build, and scale full-stack web applications using React, JavaScript, TypeScript, and Node.js. Architect RESTful APIs, manage application state and component lifecycles, implement automated testing, integrate event-driven analytics and telemetry, and oversee build and deployment practices. Collaborate across teams to resolve ambiguous requirements and technical dependencies. Preferred experience includes production incident response, CRM integrations, AI/LLM workflows, and micro-frontend architectures.

Develop and support embedded software for Ambiq SoCs, including drivers, HAL updates, board support packages, example applications, Zephyr enablement, debugging tools, and test software. Collaborate with hardware, software, field engineering, and customers to resolve complex system-level issues. Support evaluation platforms, customer applications, and silicon debug while producing application notes, knowledgebase content, and software design guidelines.

Develop and lead autonomy software for autonomous underwater vehicles, covering navigation, control, mission planning, mapping, anomaly detection, sensor integration, simulation, and real-world ocean testing. Translate research and mathematical models into real-time C++ and Python code, integrate software with robotic hardware, diagnose field failures, and improve system performance. Mentor engineers, establish development practices, and collaborate with mechanical, electrical, systems, hardware, and operational teams.

Develop and maintain software throughout the full development lifecycle, including design, coding, testing, deployment, documentation, troubleshooting, and ongoing support. The role requires Java-based development using Spring Boot, J2EE, SQL/Oracle, APIs, testing frameworks, and application servers. Responsibilities include code reviews, test case creation, log analysis, database optimization, technical documentation, security, performance, scalability, third-party integrations, and contribution to DevOps and CI/CD practices.

Build and enhance customer-facing iOS experiences across the cart-to-post-order journey. Own development throughout the SDLC, contribute to architecture decisions, maintain code quality through reviews, optimize high-performance applications, manage CI/CD pipelines, and collaborate with Product Management to deliver scalable solutions for millions of users.

Develop and maintain high-performance iOS applications across the full SDLC, from architecture and development through testing, deployment, and release. Serve as a subject matter expert and product owner, collaborate with Product Management, conduct code reviews, optimize scalability for millions of users, and manage CI/CD pipelines.

Lead the design, delivery, and operation of secure, scalable software capabilities for AI security products. Own complex technical initiatives, make architectural decisions, investigate production issues, improve engineering practices, mentor engineers, and collaborate with product and research teams. The role requires expertise in distributed systems, security engineering, backend platforms, cloud infrastructure, concurrency, networking, storage, APIs, and observability, with strong proficiency in Go, Rust, and Python.

Leads software development within an agile team supporting Asset and Wealth Management. Responsibilities include designing and delivering secure, scalable Java and React applications; establishing testing, SDLC, and platform best practices; reviewing and debugging code; improving automation and operational stability; guiding junior developers; applying AI-assisted engineering practices; and evaluating technology solutions with vendors and internal teams.