Top AWS Jobs in Singapore

Lead design and delivery of a greenfield, durable distributed workflow/execution platform. Ensure extreme availability (5-6 nines), integrate AI-driven automation, solve distributed locking/timers/deterministic execution challenges, build observability, and manage a team of up to 10 engineers while partnering with product and stakeholders.

As a Research Scientist, you will lead research on video generation models, build data systems, and collaborate on model improvements, while driving project ideation and validation.

The AI Engineer supports the global AI sandbox, develops AI solutions, conducts R&D, and collaborates with cross-functional teams to deliver high-quality AI products.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

As a Software Engineer at Allium, you will manage blockchain data processing, optimize data transport, ensure data quality, develop APIs, and implement fraud detection measures while supporting high-traffic applications.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

As a Forward Deployed Software Engineer, you will develop applications leveraging physics AI models, collaborating with data scientists and customers, and design E2E solutions while deploying APIs and microservices.

Lead design, development, and deployment of scalable AI/ML applications and microservices on Kubernetes. Build end-to-end MLOps pipelines, mentor AI engineers, evaluate emerging LLM and GenAI tools, ensure observability and governance, and produce technical documentation and runbooks.

Leads end-to-end delivery of large-scale application projects and programmes, managing scope, schedules, budgets, quality, risks, compliance and financial performance. Provides leadership and development for delivery teams, manages client and stakeholder relationships, supports presales and solutioning, and drives delivery governance and process improvement. The role requires experience with Agile or hybrid methodologies, Singapore public-sector projects, application technologies, cloud platforms and delivery certifications.

Maintain and deploy mission-critical applications and infrastructure across on-premise and cloud environments. Monitor system performance, troubleshoot incidents, support client infrastructure provisioning and upgrades, and provide escalation support to regional teams. Use Infrastructure as Code, automation, CI/CD pipelines, and observability tools to improve reliability and resolve recurring issues. Collaborate with security, development, and project teams while supporting global shift-based operations.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

Lead and mentor a Singapore-based software engineering team building and operating high-throughput payout APIs and backend microservices. Own platform architecture, scalability, security, availability, SLA compliance, testing, documentation, and code quality. Drive Agile delivery, CI/CD automation, infrastructure provisioning, monitoring, and zero-downtime deployments. Collaborate with architecture, product, and global engineering teams to translate business needs into technical roadmaps.

Design, build, scale, and maintain cloud infrastructure for an enterprise reconciliation platform. Lead infrastructure architecture, deployment, availability, security, and continuous improvement across AWS and Azure environments. Provide technical direction and mentorship, own feature delivery, and establish engineering standards for architecture, coding, testing, and deployment. Work with distributed systems, Kubernetes, Terraform, Ansible, containerization, data infrastructure, and high-volume transactional workloads.

Design, develop, and maintain scalable Java backend applications and secure REST APIs using Spring Boot, microservices, and event-driven architecture. Build cloud-native data solutions, implement automated testing and CI/CD, manage Kubernetes deployments and production releases, and provide on-call support. Lead incident resolution, root cause analysis, observability, performance optimization, code reviews, mentoring, documentation, and continuous improvement.

Lead end-to-end implementation and adoption of Black Duck application security solutions for customers across China and Asia. Design implementation approaches, configure and validate solutions, integrate them with SDLC, CI/CD, and DevOps workflows, advise on secure development and vulnerability management, troubleshoot technical issues, and support customer adoption. Collaborate with account teams and global services stakeholders while managing delivery, risks, and customer relationships.

Lead customer implementations and adoption of Black Duck application security solutions. Design implementation approaches, configure and validate deployments, integrate security tools into SDLC, CI/CD, and DevOps workflows, advise on secure development and vulnerability management, troubleshoot technical issues, and guide customers toward effective adoption. Collaborate with account teams and global services stakeholders while supporting customers across China and Asia.

Develop and deploy end-to-end AI solutions for industry partners, from scoping and feasibility assessment through maintenance. Mentor AI apprentices through technical coaching, project delivery, and recruitment activities. Apply machine learning, generative AI, LLMs, software engineering, MLOps, and cloud technologies. Collaborate with external organizations to define requirements and deliverables, while supporting AI Singapore’s outreach, talent development, and ecosystem-building initiatives.

The Presales Solution Architect collaborates with clients to design and implement cloud-based solutions, leveraging modern methodologies and automation tools to meet business needs.

Design, build, and operate low-latency, high-throughput trading infrastructure and microservices for 24/7 crypto market operations. Implement exchange and on-chain connectivity, execution engines, market-data pipelines, pre-trade risk controls, monitoring, reconciliation, and data-quality workflows. Profile and optimize latency, mentor engineers, and collaborate with liquidity managers, product, risk, finance, and operations to deploy resilient, scalable trading systems.

Build and maintain the risk-control data warehouse, develop thematic metrics and indicators, design offline and real-time data architectures, optimize data pipelines, and deliver reporting and API interfaces for the data mart to support risk control business lines.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

The Client Technology Manager oversees IT managed services for clients, ensuring satisfaction through relationship management, project delivery, and technical support, while leading a team of engineers.

The Cloud Architect will design multi-cloud environments, ensuring robust security, networking, and compliance for enterprise clients while maintaining delivery accountability.