Top Software Engineer Jobs in Singapore

Build and enhance consumer-facing full-stack web applications for AI-driven product discovery, search, recommendations, and personalization. Develop React and TypeScript interfaces, integrate APIs and microservices, contribute to Java and Spring Boot backend services, and improve performance, accessibility, scalability, reliability, and observability. Collaborate with AI/ML, data, backend, product, and design teams while participating in design and code reviews and using AI-assisted engineering tools.

Design, develop, test, debug, document, and support embedded software across the full product lifecycle. Develop C/C++ and Python software interfacing with microprocessor hardware, BLE semiconductor bare-metal systems, embedded Linux, and RTOS environments. Contribute to automated testing, CI/CD pipelines, product verification, release support, and issue resolution while collaborating with cross-functional teams.

Designs, develops, and supports Citi’s low-latency electronic trading platform across algorithmic trading, smart order routing, connectivity, and market data processing. Collaborates with traders, quant researchers, clients, product teams, and technology groups to deliver platform enhancements. Maintains testing frameworks, development tools, monitoring, reconciliation, recovery solutions, and CI/CD processes while championing Agile practices.

Lead end-to-end software delivery for regulatory reporting systems within Payments Technology. Develop, review, debug, and optimize secure production code, data pipelines, and reporting workloads using Python, PySpark, Spark, and Databricks. Establish AI-assisted engineering practices, validation standards, automation, and SDLC governance. Partner with stakeholders on data quality, lineage, reconciliation, and audit controls while providing technical direction and serving as a subject matter expert.

Build and operate a secure AWS-based AI Foundation and agentic AI platform for Singapore Government Agencies. Responsibilities include developing backend and full-stack services, RAG pipelines, AI agents, infrastructure-as-code, CI/CD, observability, security controls, cost optimization, and reusable platform components. The role requires integrating enterprise systems, supporting model customization, managing agent identities and guardrails, troubleshooting platform issues, preparing architecture and security documentation, and onboarding government workflows.

Build and operate a secure AWS-based AI and agentic AI platform for Singapore government agencies. Responsibilities include full-stack development, Amazon Bedrock infrastructure, RAG pipelines, model and agent integrations, infrastructure automation, CI/CD, observability, security controls, cost optimization, reusable agent modules, and platform onboarding. The role also involves troubleshooting, documentation, architecture and security reviews, compliance with government ICT policies, and collaboration with DevSecOps and application teams.

Design, implement, and maintain low-latency automated trading systems focused on reliability, scalability, and performance. Optimize network and systems-level code, develop latency-reduction algorithms, build risk/monitoring tools, drive automation and testing, improve code reusability across exchanges, and lead core engineering efforts.

Develop responsive, accessible frontend and admin interfaces for a cloud-based digital platform using React.js and TypeScript. Build reusable components, integrate REST APIs, implement state management and routing, create dashboards, support AWS deployment, remediate frontend security findings, and assist with unit, UI automation, and regression testing. Collaborate with UI/UX designers, engineers, technical leads, and QA automation engineers.

Design and develop scalable, secure government platforms and knowledge services, including APIs, content management, search, portals, dashboards, and product discovery experiences. Build reliable services with observability, automated testing, and deployment strategies. Collaborate with product managers, designers, UX teams, and government stakeholders to improve developer and agency experiences. Define technical direction, document systems, mentor teammates, and deliver high-quality software for critical national infrastructure.

Lead the technical delivery of a secure, scalable cloud-based platform. Translate architecture into full-stack designs, develop React and Node.js applications, design APIs and PostgreSQL databases, support AWS deployment and CI/CD, enforce code quality, and coordinate security scanning, vulnerability remediation, and VAPT readiness while guiding a small engineering team.

Build and operate web products end-to-end across frontend, backend, databases, APIs, cloud infrastructure, and deployment. Translate ambiguous product ideas into production-ready software, iterate using user feedback, and make pragmatic architecture decisions. Establish automated testing, CI/CD, observability, and security foundations while collaborating with product managers, designers, and stakeholders. The role requires strong Node.js expertise, independent decision-making, and experience delivering products from prototype through production.

Design, develop, test, deploy, monitor, troubleshoot, and maintain software applications supporting Singapore government digital services. Build frontend solutions with React.js and backend services with Golang, participate in code reviews, collaborate with UX designers, and contribute to secure, high-quality application delivery.

Develop and maintain backend-focused services for cloud-based digital platforms using Node.js and TypeScript. Responsibilities include API, database, workflow, audit logging, reporting, AWS deployment, CI/CD support, database migration automation, and security remediation. The engineer will collaborate with technical, frontend, QA, and infrastructure teams while implementing secure, reliable, and tested services.

Develop and review cloud-native features for a 3D geospatial web application used by Singapore government agencies. Responsibilities include full-stack development, AWS resource management, Terraform-based infrastructure, CI/CD pipelines, system migration, API and authentication integration, security, observability, fault tolerance, architecture documentation, and compliance with government security standards.

Build and productionize intelligent research tools, agentic pipelines, and full-stack applications for Global Investment Research. Develop Java or Python services, advanced RAG pipelines, multi-agent workflows, evaluation frameworks, and AWS integrations. Monitor production systems, troubleshoot incidents, optimize model resources, write automated tests, maintain CI/CD, and collaborate with stakeholders in Agile delivery. The role also involves implementing guardrails, observability, and scalable event-driven microservices for AI-powered financial research platforms.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Build and maintain full-stack web products across frontend, backend, databases, DevOps, analytics, and third-party integrations. The engineer will implement features, fix bugs, improve infrastructure, monitoring, deployments, testing, and developer experience, and participate in on-call support. The role requires collaboration with product teams, proactive technical ownership, reliable production code, analytics-informed iteration, and fluency with AI coding tools. Senior candidates may additionally own architecture, technical strategy, and major projects.

Develop and deliver software solutions and system integrations for Wealth Core Banking. Design, implement, deploy, and optimize RESTful microservices, ensuring scalability, performance, reliability, and observability. Work with Temenos Transact, cloud-native architectures, containers, CI/CD, APIs, application servers, messaging platforms, and Java-based frameworks. Collaborate with cross-functional teams to translate requirements into clean, efficient, maintainable applications.

Design and deploy software and data-analytics solutions for Probe operations: real-time reporting, monitoring, automation of material tracking and validation, and AI-assisted efficiency improvements. Collaborate globally to identify process improvements and implement software and process changes to reduce resolution turnaround and ensure product quality.

Build and productionize agentic research systems for Global Investment Research. Responsibilities include developing full-stack applications with Java or Python, implementing RAG pipelines and multi-agent workflows, integrating AWS AI and cloud services, creating evaluation and benchmarking suites, monitoring production systems, supporting incidents, writing tests, maintaining CI/CD, and collaborating with business stakeholders in Agile sprints.

Design, build, and maintain a web-based semantic map annotation editor and 3D visualizations that handle terabyte-scale map data. Optimize performance, automate map generation, integrate with ML teams, write design docs, resolve issues, and improve user workflows for efficient map editing and validation.

Design, develop, test, integrate, and maintain enterprise software applications for banking services. Collaborate with business stakeholders and cross-functional teams, build APIs and microservices, implement messaging and event-driven integrations, participate in code reviews, troubleshoot issues, and support delivery through testing and deployment. The role also involves cloud, DevOps, security, and agentic AI development practices.

Build and productionize intelligent research tools, agentic pipelines, full-stack applications, RAG systems, and AI services for Global Investment Research. Responsibilities include developing Java or Python microservices, integrating AWS services, implementing evaluation and benchmarking frameworks, monitoring production systems, supporting incidents, writing tests, maintaining CI/CD, and collaborating with stakeholders in Agile teams.

Develop and deploy Java microservices for Trading Technology using reactive programming, Kafka, IBM MQ, Kubernetes, Redis, and AWS. Contribute to API and domain-driven design, testing, code reviews, scalability validation, monitoring, security, and technical documentation. Apply CI/CD, DevOps, TDD/BDD, distributed systems, and enterprise-approved AI-assisted development practices while supporting secure, scalable, event-driven applications.

Supports an R&D innovation team by developing software applications and APIs, creating rapid prototypes, implementing and testing solutions, troubleshooting, conducting site surveys, collecting data, and deploying integrated demonstrators in vehicles. The role involves sensor technologies, middleware, software development, testing, and deployment across Linux and Windows environments.