Top AWS Jobs in Singapore

Design, build, and deploy production AI/ML and Generative AI solutions (LLM apps, RAG, agentic workflows). Build data pipelines, MLOps/LLMOps, and cloud-deployed architectures (AWS/Azure/GCP). Collaborate with stakeholders, embed responsible AI and governance, and create reusable assets and best practices to scale AI across the organization.

The Technical Product Manager will support digital product development, facilitate communication between teams, gather user requirements, manage risks, and benchmark team performance to improve capabilities.

Provides first-level technical support, monitoring, incident management, troubleshooting, and fault resolution for OTT platforms including Astro Go and Sooka. Manages live events, promotions, app configurations, content performance, tickets, escalations, reports, inventory, documentation, system upgrades, vendor coordination, and project implementation. The role also supports application optimization and internal custom system development while working 12-hour shifts, including weekends.

Supports an information security program across hybrid on-premises and AWS environments. Manages vulnerability scanning, reporting, remediation tracking, risk registers, risk acceptance documentation, security signature updates, vendor vulnerability notifications, and CVSS-based impact analysis. Prepares leadership dashboards and coordinates with technical and business stakeholders to prioritize remediation and maintain compliance.

Build and maintain batch and streaming data pipelines, data models, ingestion workflows, Airflow orchestration, cloud infrastructure, CI/CD, and backend data services. Support CDC, messaging, real-time processing, vector database pipelines, embeddings, semantic search, and RAG knowledge bases. Collaborate with senior engineers, AI teams, and business stakeholders to deliver reliable datasets and services for banking use cases including risk, fraud, customer engagement, and automation.

Provides production and non-production application support, including incident, service request, problem, and change management. Performs troubleshooting, monitoring, health checks, preventive maintenance, deployment validation, root cause analysis, documentation, and stakeholder communication. Supports cloud environments, databases, APIs, infrastructure, security compliance, and operational reporting. Escalates complex issues, coordinates with technical teams and vendors, and mentors junior operations staff while improving service reliability and reducing recurring incidents.

Leads regional Frontier Engineering growth and delivery across the full engagement lifecycle, from opportunity development and scoping through contracting, execution, financial management, and account expansion. Owns bookings, utilization, consumption, forecasts, project roadmaps, client relationships, delivery quality, risk escalation, and executive communication. Builds cloud data strategy and partner models, improves delivery operations, and mentors consultants while translating customer goals into Snowflake platform outcomes.

Build and maintain end-to-end full-stack applications and cloud infrastructure incorporating AI and GenAI workloads. Integrate LLMs, RAG, AI agents, and agentic workflows into user-facing products. Design APIs, databases, CI/CD pipelines, containerized deployments, and infrastructure as code across major cloud platforms. Support secure, reliable, observable systems while serving as a technical contact for clients and operations teams and producing technical documentation.

Automate and operate production infrastructure across cloud and on-premises environments. Monitor service health, triage critical alerts, manage SLOs and error budgets, develop infrastructure and policy as code, eliminate operational toil, maintain DevSecOps and observability tooling, and participate in incident response and post-mortem improvements. The role also requires expertise in infrastructure, configuration management, networking, IAM, security controls, and reliability engineering.

Develops enterprise architectures, technology roadmaps, and scalable cloud solution designs aligned with business requirements. Evaluates technologies, establishes architecture standards, manages design and delivery risks, and promotes secure, compliant, and consistent solutions. The role requires extensive experience across AWS, Azure, GCP, modernization, microservices, integration, CI/CD, SRE, data and AI, IoT, security, and infrastructure as code, with strong stakeholder collaboration and public-sector project experience.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Leads enterprise customer engagements delivering AI, machine learning, generative AI, NLP, RAG, and agentic AI solutions. Designs and deploys production systems across cloud platforms, establishes LLMOps practices, integrates solutions with client workflows, presents technical strategies, manages stakeholders, and mentors regional team members. Requires deep expertise in modern ML frameworks, large language models, data platforms, governance, and customer-facing technical delivery.

Deliver data science consulting projects for marketing, customer, and product use cases in luxury, consumer goods, and retail. Responsibilities include data analysis, KPI design, experimentation, machine learning, generative AI, data engineering, visualization, stakeholder storytelling, and solution deployment. The role also supports transformation, training, thought leadership, R&D, and business development.

Designs and builds production-grade generative AI systems, including LLM architectures, fine-tuning pipelines, evaluations, RAG and multi-agent integrations. Optimizes models for latency, throughput, token efficiency, reliability, and cost. The role also develops enterprise integration, governance, monitoring, safety, and deployment patterns on AWS, while translating client requirements into model strategies and contributing hands-on production code, design reviews, and reusable engineering practices.

Supports enterprise sales cycles across APJ through technical discovery, solution design, demonstrations, proofs of concept, architecture reviews, tenders, and technical validation. Enables partners through training, workshops, reusable technical content, and joint customer engagements. Designs solutions involving integrations, APIs, automation, and deployment architectures while collaborating with sales, product, engineering, services, and support teams. Requires strong IT, cybersecurity, cloud, networking, scripting, communication, and partner-management expertise.

Designs and maintains Databricks-based ETL/ELT pipelines on AWS, develops optimized data models for analytics and BI, and supports production GenAI integrations. The role collaborates with data scientists, AI engineers, and business teams to operationalize models, manage data dependencies, implement monitoring and quality standards, and ensure secure, compliant data workflows.

Develop and maintain software throughout the full development lifecycle, including design, coding, testing, deployment, documentation, troubleshooting, and ongoing support. The role requires Java-based development using Spring Boot, J2EE, SQL/Oracle, APIs, testing frameworks, and application servers. Responsibilities include code reviews, test case creation, log analysis, database optimization, technical documentation, security, performance, scalability, third-party integrations, and contribution to DevOps and CI/CD practices.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

Design and build scalable data infrastructure, backend services, data discovery and lineage systems, and fault-tolerant pipelines processing petabytes of data. Lead system design, code reviews, and technical contributions while developing cloud-based ETL solutions. Collaborate with machine learning and autonomy teams to improve data access, processing, and platform adoption.

Build and maintain scalable ETL pipelines integrating structured and unstructured data. Automate data workflows, ensure efficient data movement, collaborate with analysts, scientists, and stakeholders, translate business needs into technical solutions, and maintain documentation and data governance compliance for secure, accessible data.

Serves as the technical lead and strategic advisor for Zero Trust Cloud solutions across ASEAN. Engages customers and executives on cloud security architecture, AWS, Azure, and GCP deployments; leads Proof-of-Value engagements; provides competitive positioning; enables field teams; and influences product roadmaps through collaboration with sales, engineering, and product management.

Lead hands-on AIOps architecture and engineering for APAC client engagements. Design production-grade observability, intelligent alerting, AI-assisted triage, RCA, retrieval, and runbook automation solutions. Build integrations, data pipelines, agentic workflows, evaluation pipelines, and cloud infrastructure while applying software engineering, SRE, DevOps, testing, and governance practices. Advise clients, support technical pre-sales and proposals, mentor engineers, and connect regional projects with global AIOps capabilities.

Designs, builds, operates, and improves enterprise IAM and secrets-management platforms focused on non-human identities. Develops secure integrations, APIs, automation, Infrastructure as Code, and CI/CD security patterns across applications, containers, and cloud platforms. Supports highly available systems through monitoring, incident response, troubleshooting, disaster recovery, and lifecycle management. Partners with engineering, DevOps, cloud, risk, audit, and security teams to implement secure-by-default services and maintain operational and audit documentation.

Manage end-to-end AI infrastructure and GPU cluster projects across APAC, including planning, scheduling, procurement, data center readiness, deployment, integration, validation, testing, risk management, and production handover. Coordinate internal teams, customers, vendors, NVIDIA ecosystem partners, and cross-border stakeholders while providing progress and risk updates. The role requires bilingual Chinese-English communication and technical understanding of AI infrastructure, hardware, networking, storage, and data center operations.

Drive new business growth and account expansion in Singapore by identifying opportunities, managing complex sales cycles, developing client business plans, leading consultative solution sales, negotiating contracts, and positioning digital transformation, automation, analytics, and AI services. Build executive-level relationships, collaborate with presales and delivery teams, manage pipelines, and contribute to go-to-market strategy.