Top Software Engineer Jobs in Singapore

Develops secure, scalable software within an agile Corporate and Investment Banking team. Responsibilities include designing, coding, testing, troubleshooting, and maintaining applications; analyzing data; applying SDLC, CI/CD, resiliency, and security practices; and using authorized AI-assisted development tools while validating outputs. Requires 2+ years of software engineering experience, a relevant bachelor’s degree, programming and database-querying skills, and experience across the software development lifecycle.

Design and build reliable backend systems for Airwallex’s billing platform, including pricing, invoicing, and quote-to-cash workflows. Develop highly concurrent, highly available distributed services with strong financial accuracy. Partner with Product and business teams, make architectural decisions, optimize service performance and data queries, and improve engineering quality through design standards and collaboration.

Designs, develops, tests, troubleshoots, and maintains secure, scalable Python software for JPMorgan Chase’s Athena Risk Team. Creates architecture and design artifacts, analyzes large datasets, improves application stability, and delivers production code within an agile environment. Collaborates across technical and business domains while applying software development lifecycle, resiliency, security, and continuous integration practices.

Develops, tests, reviews, and troubleshoots secure, scalable Java software within an agile Payments Technology team. Designs high-throughput distributed systems, improves application resiliency and operational stability, automates recurring remediation, and applies CI/CD and secure engineering practices. Uses and guides responsible adoption of AI-assisted development tools, contributes to technical communities, and supports end users. Works with relational and NoSQL databases and on-premises or public cloud environments.

Lead and develop a software engineering team building scalable alternative payment method integrations for APAC. Set technical direction, guide architecture, improve reliability and engineering quality, and partner with product and global engineering teams. Oversee payment flows, transaction statuses, error handling, reconciliation, observability, testing, and operational excellence while coaching engineers and supporting payment-method expansion.

Build and improve Airwallex’s developer ecosystem, including API standards, analytics pipelines, AI-enabled documentation and developer portals, open-source tools, SDKs, CLI capabilities, OAuth, MCP interfaces, and sandbox services. The role partners cross-functionally to simplify API integration and support external developers. It requires backend software engineering, distributed systems, cloud infrastructure, API design, and customer-facing engineering experience. This position is based in the Singapore office five days per week.

Supports production Linux server fleets for electronic trading, including provisioning, patching, hardening, performance tuning, automation, observability, incident response, capacity planning, and secure access. Partners with network, trading technology, and data center teams to improve latency and reliability. Maintains operational documentation and assists with hardware coordination, maintenance, resiliency testing, and compliance activities.

Build and evolve Airwallex ecosystem platforms, APIs, SDKs, webhooks, UI extensions, app marketplace capabilities, and third-party integrations. Improve developer experience through documentation, sandboxes, and tooling while collaborating with backend, product, design, and go-to-market teams. The role involves technical roadmap ownership, architecture, security, reliability, observability, and integrations with financial institutions and business software. This position is based five days per week in the Singapore office.

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Summer intern role building high-performance, large-data research platforms and web frameworks. Collaborate in small teams to create tools for trading strategies, applying distributed computing, NLP, and machine learning.

Provides production support for FX and Commodities trading applications, troubleshooting complex business and infrastructure issues while minimizing downtime. Develops secure Python software, monitoring tools, automation, helper APIs, and AI-assisted solutions across on-premises and AWS cloud environments. Supports trade floor users, improves operational workflows, manages onboarding and infrastructure upgrade projects, and contributes to resiliency management, observability, and continuous application improvement.

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.

Design, develop, test, deploy and operate cloud-hosted digital products using CI/CD, containers and DevSecOps practices. Work in an agile multinational team on data platforms, analytics, site reliability and cloud deployments, collaborating with product owners and cross-functional stakeholders to deliver and maintain high-quality software solutions.

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.

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.

Provides technical leadership for site reliability engineering across Walmart Data Ventures. Designs scalable automation, observability, SLO tooling, and AI-powered agents for incident triage, root cause analysis, workflow automation, self-healing, and customer support. Establishes reliability standards, improves scalability and resilience, reduces incidents and operational toil, and advances CI/CD, testing, monitoring, debugging, and production readiness through cross-functional engineering influence.

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.