Top Software Engineer Jobs in Singapore

Leads end-to-end technical delivery for full-stack software projects, from discovery and architecture through deployment and production improvement. Serves as the client’s technical point of contact, makes architectural decisions, contributes hands-on across the stack, and mentors engineers. Establishes engineering, testing, CI/CD, security, and DevSecOps practices while guiding responsible AI-assisted development and building AI-powered solutions such as MCP servers and agents.

Develop and maintain highly available full-stack services for Thunes’ global payments platform. Build client- and server-side API software, design and ship new products, improve scalability and performance, automate development processes, and deliver secure, tested, documented code. Collaborate through agile practices, evaluate technologies, and work with international technology teams across core and business products.

Build and maintain responsive React applications with reusable JSX components, state management, REST API integrations, performance optimization, and automated testing. Collaborate with design, backend engineering, and QA teams to deliver reliable user experiences. The role involves Java and Spring Boot API integration, responsive design, accessibility, routing, validation, troubleshooting, and defect resolution.

Develop and support full-stack web applications and AWS cloud platform components across frontend, backend, infrastructure integrations, and production environments. Build APIs, troubleshoot application and provisioning issues, manage CI/CD and Terraform workflows, investigate logs, resolve security vulnerabilities, and support cloud networking, containers, microservices, and government platform operations across development, SIT, UAT, and production.

Implements software development lifecycle tasks under guidance, follows established engineering standards, makes technical decisions, collaborates with peers and project leads, and contributes to code and design reviews. The role requires Java programming, object-oriented design, Spring framework knowledge, analytical problem-solving, and preferably experience building financial systems or payment platforms in regulated financial services.

Staff Software Engineer responsible for leading complex engineering initiatives, owning squad architecture and technical direction, and designing scalable software solutions. The role drives code quality, reliability, AI-augmented development workflows, and predictable delivery while partnering with Product and Engineering teams. Responsibilities include mentoring engineers, resolving complex technical challenges, influencing engineering practices, overseeing production systems and deployments, and making long-term architectural trade-offs.

Build full-stack features across web, mobile, AI, and spatial-computing projects. Interns will design APIs and systems, write tests, participate in code reviews and Agile ceremonies, collaborate with designers and clients, and deploy software through CI/CD. The internship includes mentoring and training in modern development tools, cloud platforms, AI-assisted development, and technologies such as TypeScript, React, Node.js, Swift, Kotlin, AWS, and Cloudflare.

Graduate software engineers will develop open-source and commercial software across the Linux stack, from firmware, kernels, and drivers to desktop applications, containers, clouds, and Kubernetes. Responsibilities include writing resilient, performant code, contributing to product roadmaps, engaging with users and open-source communities, addressing customer issues, and developing secure software. The role is globally remote with twice-yearly international team sprints and emphasizes mentorship, collaboration, and continuous technical growth.

Develop and deliver software features across architecture, design, implementation, testing, security, performance, and documentation. Collaborate with Product Owners and multinational agile teams to deliver regular product increments, contribute to automated testing, and support technical quality. The role also involves learning and applying cloud, containerization, cybersecurity, data lake, and agentic development technologies.

Develop AI-enabled applications for air traffic management by integrating LLMs, RAG, AI agents, tool calling, workflows, operational data, APIs, databases, and enterprise systems. Build backend services, user interfaces, connectors, evaluation and monitoring mechanisms, and end-to-end prototypes. Collaborate with domain experts and air traffic controllers on requirements and testing, while supporting deployments, demonstrations, technical documentation, reports, proposals, and research publications.

Software Engineering intern who will design and develop systems, web or mobile applications, and proof-of-concepts supporting business workflows, data management, and information processing. Responsibilities include exploring technologies, documenting findings, meeting user requirements under mentor guidance, and presenting completed products to management and users.

Develop and test systems and applications supporting business workflows and information management. Conduct technology scans and proof-of-concepts, explore software and data-management technologies, deliver products meeting user requirements, and present completed systems to management and users. Potential projects include web or mobile applications with AI features. Work is performed under mentor guidance.

Software Engineering Interns will clarify project requirements, conduct technology scans and proofs of concept, and design, develop, test, and deliver software systems under mentorship. Projects may include web applications, internal workflow interfaces, data visualizations, content search and filtering, backend microservices, object storage, and graph databases. Interns will present completed systems to management and users.

Build and operate production AI platform services, backend APIs, integrations, and LLM-powered agent workflows. Own development end to end, including design, coding, testing, deployment, observability, troubleshooting, and quality improvement. Develop reusable platform capabilities, evaluate AI application performance, and collaborate with engineering, product, security, data science, and business teams. The role requires Python backend expertise, cloud operations, databases, LLM applications, and agentic software development.

Design, build, and operate production AI applications, agentic workflows, RAG systems, evaluation frameworks, and data pipelines. Own systems end to end, including architecture, testing, deployment, observability, reliability, and on-call support. Partner with analytics and business teams to deliver practical solutions, improve AI performance, and maintain robust data and context infrastructure. Mentor engineers and contribute to technical design, code reviews, and engineering standards.

Develop and integrate C++ software across Linux BSP, drivers, middleware, and application layers for real-time sports technology devices. Responsibilities include system integration, multithreaded performance optimization, cross-layer debugging, hardware and firmware collaboration, and delivering reliable production features for embedded and sensor-based products.

Build and maintain full-stack web applications, developing React interfaces and scalable backend services and RESTful APIs. Translate business requirements into tested solutions, collaborate with product managers, designers, and engineers, participate in code reviews, and troubleshoot defects and performance issues. The role may use Java, Node.js, Python, AWS Lambda, and related cloud, serverless, database, testing, and deployment technologies.

Provide technical leadership for full-stack engineering teams, ensuring implementation consistency, architectural quality, sprint delivery, and software standards. Design and maintain cloud-based tools and existing systems, mentor engineers, collaborate with product and design teams, and support roadmap development across globally distributed teams. The role involves Ruby on Rails or Node.js, React or TypeScript, RESTful APIs, relational databases, AWS, and microservice architectures.

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.

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.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.

Own the reliability, scalability, security, and operational health of Riot’s AI Efficiency platform and production tools. Build infrastructure, CI/CD, deployment automation, observability, incident-management, infrastructure-as-code, and disaster-recovery practices. Lead incident response, capacity planning, resilience improvements, and developer-platform initiatives while partnering with engineering, ML, infrastructure, and security teams. Evaluate AI-assisted operational workflows with appropriate governance, auditability, and production safeguards. Provide technical leadership, mentoring, standards, and architectural guidance.

Lead the architecture, development, deployment, and production support of high-performance C++ trading systems. Design resilient distributed systems, solve low-level challenges involving networking and concurrency, improve system architecture, and build automated quality safeguards. Investigate complex production issues, validate reliability through testing and replay, mentor engineers, and raise development standards across the team.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.