Top Software Engineer Jobs in Singapore

Leads software engineering for JPMorganChase’s Currencies and Emerging Markets technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable production code; improves application resilience and automates recurring remediation. Promotes responsible AI-assisted engineering practices, evaluates vendor and architectural solutions, and partners with operations, trading, quantitative research, and technology teams to modernize workflows and support emerging-markets business objectives.

Lead a Singapore-based engineering team to design, build, test, release, and support cloud-native trading and logistics software for energy commodities. Drive engineering quality, reliability, CI/CD, observability, and adoption of enterprise-authorized AI-assisted development. Partner with traders, quants, and operations, mentor engineers, and evaluate external vendor solutions.

Design, develop, and integrate scalable Python systems for rates risk and PnL. Implement risk metrics, PnL attribution, and data pipelines. Influence architecture, code quality, and adoption of enterprise AI-assisted engineering practices. Collaborate with trading desks and cross-functional teams to deliver robust, secure solutions.

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.

Leads platform engineering initiatives delivering scalable cloud-native systems and AI-driven applications. Responsibilities include full software lifecycle execution, system design reviews, infrastructure and tooling development, ML framework integration, monitoring, and maintenance. The role mentors engineers, influences technical direction, collaborates cross-functionally on requirements, and drives continuous improvement across distributed systems and platform capabilities.

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.

Leads development of scalable platform capabilities, infrastructure, tooling, and ML frameworks. Drives the full software development lifecycle, applies cloud-native architecture, conducts system design reviews, builds AI-driven applications, mentors engineers, and collaborates with stakeholders to deliver reliable, data-informed technical solutions.

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.