Top AWS Jobs in Singapore

The role involves back-end development using .NET Core and SQL, contributing to Jibble 2.0 API integrations, and collaborating with product and design teams.

The role involves developing AI strategies for various business functions, implementing POCs, collaborating with teams on AI solutions, and ensuring compliance with AI governance.

Design, benchmark, and optimize ClickHouse Cloud performance at scale. Troubleshoot production issues, recommend tuning, run chaos experiments, build automation and tools, and collaborate across core, cloud, and security teams to improve scalability, resilience, and capacity planning.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Design, build, and optimize end-to-end data ingestion and ETL pipelines on AWS into governed data lake zones. Implement data quality frameworks, error handling, and metadata/catalog management. Use IaC (Terraform/AWS CDK), write tests, support UAT, produce runbooks/documentation, and participate in Agile delivery.

The Customer Success Architect ensures clients maximize value from HPE solutions, drives usage growth, manages strategic accounts, and fosters relationships for adoption success and upselling.

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.

Lead design, implementation, and management of low-latency, highly available network infrastructure across colocation and data centers. Oversee 24/7 operations, incident response, monitoring, security, and collaboration with trading and development teams to optimize performance and reliability.

Lead enterprise sales for cloud and professional services across ASEAN. Build and execute account and territory strategies, generate qualified pipeline from an established network, manage multi-stakeholder long sales cycles, close complex deals, and partner with internal teams and alliances to exceed quotas.

Lead enterprise sales for professional and managed services across ASEAN, leveraging established senior relationships to generate pipeline, manage complex multi-stakeholder deals, exceed quotas, and collaborate with internal teams and partners on cloud and data platform opportunities.

Lead pre-sales technical engagements for APAC enterprise customers: architect solutions, build PoV prototypes, run technical workshops, enable partners/hyperscalers, and drive technical wins through discovery, demos, and handoffs to delivery teams.

Design and govern enterprise integration and data architecture. Lead cross-system impact analysis, define integration standards and blueprints, support platform selection, ensure data quality and interoperability, and advise stakeholders and delivery teams on architecture and governance.

Translate business requirements into secure, maintainable web and mobile applications using ReactJS, React Native and Node.js. Design, develop, integrate with PostgreSQL/MSSQL and RESTful APIs, perform code reviews, provide technical guidance, support deployments on Azure/AWS, ensure security and public-sector compliance, and assist in task estimation and release activities.

The Principal Software Engineer will design and own the architecture of a streaming platform using Apache Flink and Kafka, focusing on API-first design and operational excellence.

As a Senior Backend Developer at Awarri, you'll build and maintain backend systems for AI platforms, focusing on scalable architectures, data integration, and real-time communication.

The Senior AI/ML Engineer will design, develop, and deploy language models for African languages, focusing on NLP applications and cultural context.

As an AI Engineer at Amity AI Labs, you'll develop PoC-grade AI solutions, turn research into practical implementations, and collaborate with subsidiary teams on AI/ML projects.

As a Full Stack Software Developer, you will develop modern, responsive web applications, build APIs, manage databases, and ensure code quality while collaborating in Agile teams.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

As a Cloud SRE Engineer, you'll design, implement, and maintain secure and scalable Linux infrastructure, participate in 24/7 on-call, and improve systems using SRE practices.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

Design, implement and maintain centralized CI/CD and DevOps pipelines; onboard platforms and vendors; containerize and deploy applications to Kubernetes/OpenShift; manage secrets, governance, security standards, hybrid cloud environments, continuous testing, observability and incident response; support change management (JIRA) and resolve test orchestration/environment issues.

Design, automate, and maintain secure, scalable infrastructure and CI/CD pipelines across cloud and data center environments. Implement DevSecOps practices, monitoring, disaster recovery, configuration management, vulnerability assessments, and automation for deployment and operations. Collaborate in agile teams and participate in incident response and system troubleshooting.

Lead design and governance of PUMA's integration fabric and API platform across DTC engineering. Own API gateway strategy (Apigee), GraphQL architecture, event-driven patterns, observability, security, and developer enablement. Drive API governance, integration testing standards, AI-native integration patterns, and mentor senior engineers while influencing cross-organization architecture and vendor integrations to ensure resilient, performant commerce integrations.

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.