Top Software Engineer Jobs in Singapore

Build and maintain internal developer platform software, APIs, CLIs, infrastructure modules, developer portals, and secure remote development environments. Implement AWS, Kubernetes, GitOps, CI/CD, observability, security, reliability, backup, and recovery capabilities. Improve self-service workflows and developer experience while collaborating with application teams and stakeholders.

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.

Develop secure, reliable, maintainable software as part of a Mastercard engineering team. Interns will write code, contribute across the software development lifecycle from design through rollout, use automated testing and source control, and apply debugging and problem-solving skills to payment technology projects.

Develop secure, reliable, and maintainable software for Mastercard payment technologies. Contribute across the software development lifecycle, from design through rollout, while writing automated tests, using source control and deployment tools, working with persistent data stores, and applying debugging, logging, and defensive coding techniques. The Launch Program provides technical orientation, professional workshops, innovation activities, and volunteer opportunities for transitioning students.

Leads site reliability engineering initiatives for identity and access management applications and platforms. Responsibilities include resiliency design reviews, incident leadership, service level objectives, observability, automation, CI/CD, troubleshooting, AI-assisted reliability workflows, technical mentoring, and architecture guidance. The role focuses on improving reliability, scalability, security, performance, and operational efficiency across large enterprise environments, with preferred expertise in Active Directory, ADFS, Microsoft technologies, Linux, proxy systems, and monitoring platforms.

Leads software engineering for equities prime services, developing secure, scalable Python or Java systems supporting trading and execution workflows. Collaborates with traders, quantitative researchers, and stakeholders; translates requirements into architectures and roadmaps; reviews and troubleshoots production code; automates recurring remediation; and promotes AI-assisted engineering practices with responsible-use controls. Preferred experience includes quantitative trading, KDB/q, FIX, market data, order management systems, and streaming platforms such as Kafka or AMPS.

Leads software engineering within an agile Asset and Wealth Management technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java applications. Drives production stability, automation, CI/CD, resiliency, and responsible adoption of AI-assisted development tools. Coaches engineers on validating AI outputs and secure practices, and evaluates vendor and architectural solutions. Requires cloud-native experience, financial services IT knowledge, and expertise with Java and Spring Boot; AWS and Terraform experience is preferred.

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.

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.

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.

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.