Top Software Engineer Jobs in Singapore

Design and implement platform capabilities to support AI/ML lifecycle (training, deployment, monitoring, management) and integrations with ecosystem frameworks. Contribute to open-source AI/ML projects, collaborate with the AI community, and mentor junior engineers.

Develop, implement, and support enterprise software using Java/Spring Boot and Angular. Collaborate with product and agile teams to design, code, test, review and deploy microservices and APIs, provide production support, document artifacts, and ensure scalability, performance and adherence to architecture and best practices.

Build scalable backend platform capabilities, infrastructure, tooling, and ML frameworks for Walmart’s Membership Experience Engineering team. Lead the full software development lifecycle, apply cloud-native architecture, design APIs and resilient systems, integrate AI and machine learning components, conduct design reviews, and ensure deployment, observability, and maintenance. Mentor engineers, influence technical decisions, collaborate with stakeholders, and use data-driven practices to improve engineering productivity and product outcomes.

Support implementation and maintenance of secure digital-asset custody (cold storage, multi-sig), monitor blockchain transactions, develop and improve smart contracts and scripts, and enhance blockchain payment networks for high availability.

Design, develop, test, and deploy cloud-native web applications; translate business requirements into scalable solutions; implement CI/CD and observability; participate in agile sprints, code reviews, and user engagement; mentor peers and share engineering best practices.

Develops and maintains firmware and software, integrates hardware and software, and designs automated and manual tests. Creates test plans, documentation, test tools, and CI/CD pipeline improvements. Performs root cause analysis, investigates build failures, supports bug resolution, and maintains test networks that simulate customer environments. Participates in code reviews, improves processes and technologies, and mentors junior team members. Uses prompt engineering and generative AI tools to improve daily efficiency.

Designs, develops, tests, documents, integrates, and maintains firmware for organizational products and systems. Performs software and hardware integration, executes tests, reviews results, conducts root cause analysis, resolves complex issues, upgrades existing firmware, participates in code reviews, and ensures compliance with quality standards. May provide guidance to non-exempt personnel and collaborate with internal teams, external organizations, and customers.

Build and validate secure iOS mobile apps and SDKs for identity and access management. Develop authentication and identity-verification flows, design backward-compatible SDK APIs, maintain CI/CD pipelines with security scanning, and establish comprehensive testing strategies. Apply AI-assisted development responsibly across testing, documentation, debugging, review, and automation while conducting human-led security validation. Implement privacy-conscious telemetry, evaluate AI/ML tools, and contribute to product innovation in a security-critical environment.

Build scalable full-stack applications and high-performance APIs using JavaScript, TypeScript, Python, or Java. Integrate AI capabilities including RAG, autonomous agents, LLM interfaces, vector search, and embeddings. Design MongoDB and Elasticsearch data solutions, manage cloud-native infrastructure and CI/CD pipelines, and collaborate with designers, data engineers, and product managers. The role supports Singapore national security analytical platforms and requires Singapore citizenship.

Leads delivery of scoped software features and models for scalable web and membership-experience platforms. Designs, develops, tests, debugs, and maintains reliable software using Java, Python, Node.js, APIs, CI/CD, automated testing, and AI/ML integrations. Collaborates with stakeholders, conducts code reviews, monitors performance, translates requirements into technical solutions, supports production systems, mentors peers, and promotes engineering excellence and continuous improvement.

Leads scalable software feature and model delivery across the full development lifecycle. Responsibilities include coding, testing, debugging, code reviews, CI/CD, AI/ML integration, solution design, performance monitoring, stakeholder collaboration, technical requirements, production support, and peer mentoring. The role develops Java and Node.js services using REST and GraphQL APIs while promoting secure, maintainable engineering practices and continuous improvement.

Leads the design and delivery of scalable cloud-native platform capabilities, including infrastructure, tooling, ML frameworks, and AI-driven applications. Owns the full software development lifecycle from coding and testing through deployment, monitoring, and maintenance. Conducts system design reviews, mentors engineers, influences technical decisions, collaborates with stakeholders, defines success metrics, and drives continuous improvement across advertising media planning and order management products.

Leads Android software development across design, coding, testing, deployment, debugging, and production support. Develops scalable and secure mobile solutions using Kotlin and modern architectures, integrates AI and ML capabilities, conducts code reviews, supports CI/CD and DevOps activities, monitors performance, and promotes engineering best practices. Collaborates with cross-functional teams, owns feature delivery, mentors peers, and contributes to Walmart+ customer-focused platform improvements.

This role involves using OCaml and Python for various software engineering tasks, promoting collaboration within small teams at Jane Street.

Leads the design and delivery of scalable cloud-native platform capabilities integrating AI/ML. Oversees the full software development lifecycle, distributed-system reliability, performance, and real-time processing. Provides architectural leadership, mentors engineers, establishes technical standards, collaborates with stakeholders, and drives continuous improvement across intelligent automation and customer-facing AI solutions.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Owns the full software lifecycle, applies cloud-native architecture, conducts system design reviews, and builds AI-driven React Native applications. Provides technical leadership and mentorship while collaborating with stakeholders to define requirements, metrics, and solutions. The role emphasizes reliable production systems, intelligent automation, developer productivity, and engineering excellence.

Lead delivery of scoped software features and models by designing, developing, testing, debugging, and maintaining scalable solutions. Write reliable code, integrate AI/ML components, participate in design and code reviews, monitor application performance, support CI/CD, translate business needs into technical requirements, and mentor peers. Collaborate across engineering teams to deliver secure, maintainable, product-focused systems and contribute to continuous improvement and operational excellence.

Leads the design and delivery of scalable cloud-native platform capabilities and AI-enhanced applications. Oversees the full software development lifecycle across distributed systems, ensuring availability, reliability, fault tolerance, and performance. Provides technical leadership and mentorship, establishes engineering standards, collaborates with stakeholders on technical requirements and success metrics, and drives architectural documentation, continuous improvement, and operational excellence.

Six-month software engineering traineeship focused on building performant, user-friendly iOS applications with Swift. Trainees receive classroom and on-the-job training while contributing to large mobile codebases, complex backend integrations, scalable software services, and impactful consumer features. The role includes exposure to AI integration in mobile development and collaboration within cross-functional agile teams. Candidates should demonstrate coding ability, analytical problem-solving, curiosity, communication, collaboration, and proficiency in English.

Six-month Android software engineering traineeship combining classroom and on-the-job training. The trainee will learn to build performant, user-friendly applications using Kotlin, contribute to large-scale mobile codebases, work with complex backends, collaborate in agile teams, and explore AI integration in mobile development. The role emphasizes software development fundamentals, problem-solving, communication, scalability, and practical experience supporting applications serving millions of consumers.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.

Participate in cryptography research for blockchain applications, focusing on post-quantum signatures, threshold signatures, signature aggregation, and proof systems. Benchmark NIST PQ standards, collaborate with senior researchers to apply results, publish findings, and contribute to open-source projects.

Lead architecture, development, integration, and validation of imaging subsystem firmware and drivers for ARM Cortex-M SoCs. Port, optimize, and debug camera interfaces (MIPI CSI-2), video codecs, and image pipelines across pre-silicon FPGA and post-silicon platforms. Enable sensor bring-up, calibration, and performance tuning; support verification, field engineers, and customers; and optimize for real-time, memory, and power-constrained embedded systems.

Lead development and bring-up of DSP software environment: design/port HAL for DSP peripherals, evaluate/port RTOS/schedulers, implement boot and IPC/RPC protocols, create tests/examples, support pre- and post-silicon verification, performance optimization, and customer support for DSP workloads.

Build and maintain OKX's mobile apps (iOS/Android and cross-platform), ship scalable features for millions of users, optimize performance, collaborate with design/product/global teams, document systems, and incorporate AI tools into engineering workflows.