Top Software Engineer Jobs in Singapore

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

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.

Design, develop, and maintain scalable Ruby on Rails web applications. Collaborate with cross-functional teams to define and ship features, ensure performance and responsiveness, identify and fix bugs and bottlenecks, and uphold code quality and automation.

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.

Build and support low-latency C++ trading infrastructure on Linux, including pricing engines, connectivity gateways, market-data systems, messaging layers, and FIX integrations. Optimize microsecond-level performance, develop high-throughput systems, contribute to AWS cloud-native infrastructure, and maintain observability. Own the full software lifecycle from design through production support, incident response, testing, deployment, and documentation.

Design, test, and support firmware and embedded software for current and next-generation industrial automation products. Responsibilities include embedded C/C++ development, 32-bit microcontroller programming, low-level device drivers, real-time operating systems, communication protocols, automated unit testing, documentation, debugging, and collaboration with global engineering teams.

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.

Design, develop, and maintain high-performance consumer-facing web applications using React, TypeScript, and JavaScript. Lead frontend architecture, performance optimization, accessibility, reusable component development, API integration, experimentation, production troubleshooting, and CI/CD support. Collaborate with Product, Design, QA, Platform, and Architecture teams while mentoring engineers, conducting code reviews, supporting Agile delivery, and improving engineering quality and operational excellence.

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.

Lead the architecture and development of ultra-low-latency, high-throughput trading systems. Own complex cross-team technical initiatives, optimize Java and C++ performance, design resilient distributed infrastructure, and guide engineering standards. Provide technical mentorship, influence product roadmaps, and drive monitoring, incident response, testing, and deployment practices for mission-critical trading services.

Leads the design and development of high-performance, real-time, data-intensive trading applications. The role drives scalable data solutions, architecture improvements, project delivery, code quality, performance optimization, and data management. It involves collaboration with product, frontend, QA, and infrastructure teams, as well as mentoring junior engineers. Required expertise includes big data, semi-structured data, processing pipelines, data modeling, and OLAP solutions, with familiarity in event-driven architectures and modern data technologies preferred.

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 maintain automated integration, sanity, and regression test suites for AIR Lab applications. Integrate tests into GitLab CI/CD pipelines and containerized environments, assess integration risks across distributed systems, triage failures, manage defects, and report quality risks. Use AI tools such as Claude to generate and analyze tests while validating their correctness. Apply risk-based testing to balance quality gates with delivery speed across POCs, MVPs, and mature products.

Leads end-to-end technical delivery for full-stack software projects, serving as the primary client technical contact while remaining hands-on in development. Responsibilities include architecture, technical planning, mentoring, code quality, TDD, CI/CD, DevSecOps, cloud deployment, and continuous improvement. The role also guides responsible AI-assisted development and builds AI-powered solutions such as MCP servers and agents. Requires strong stakeholder communication, technical decision-making, and leadership across the full software development lifecycle.

Develops and maintains robust software for semiconductor metrology systems, translates customer needs into requirements, improves software performance, resolves technical issues, and recommends enhancements. The role requires advanced software engineering, AI and machine learning experience, local or edge LLM deployment knowledge, scientific computing, algorithms, numerical methods, and analytical problem-solving.

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.