Top AWS Jobs in Singapore

Design scalable MongoDB-based applications and distributed systems, advise customers on architecture and optimization, and partner with sales teams on technical discovery, demonstrations, proofs of value, sizing, presentations, and account strategy. Generate demand through technical initiatives and events, build customer champions, mentor colleagues, relay field feedback to product teams, and maintain expertise in MongoDB, cloud platforms, modern architectures, and AI technologies.

Develop audience segments, customer profiles, and predictive models using behavioral, transactional, viewing, and digital data. Apply statistical and machine learning methods for clustering, churn, propensity, content affinity, and customer value analysis. Conduct exploratory analysis, evaluate models, support campaign measurement, and translate findings into business recommendations. Collaborate with Marketing, Product, Media Sales, and Content teams while presenting insights to technical and non-technical stakeholders.

Designs and leads post-sales technical solutions for enterprise customers using Veeam products. Conducts technical discovery, creates solution and reference architectures, develops detailed implementation documentation, estimates project requirements, and provides deployment oversight. Supports proof-of-concepts, partner implementations, troubleshooting, and customer adoption. Collaborates with sales, pre-sales, project managers, and customer success teams while evaluating emerging technologies across containers, security, hybrid cloud, and enterprise infrastructure.

Build and maintain full-stack features for a secure document platform, including authentication, access control, encryption, file delivery, APIs, integrations, background workers, and analytics pipelines. Collaborate with product, design, QA, and engineering teams; debug production issues; and deliver clean, tested, maintainable software. The role spans frontend and backend systems, with potential work on browser integrations, mobile functionality, distributed systems, and AI-assisted development workflows.

Lead the full lifecycle management of hybrid AWS and Alibaba Cloud infrastructure, including architecture, deployment, monitoring, incident response, security, compliance, cost optimization, and resource management. The role manages large-scale cloud environments, designs highly available and auto-scaling platforms, supports Kubernetes and cloud-native applications, leads critical incident resolution, collaborates with development and security teams, and provides technical training and operational documentation.

Designs, develops, and operationalizes enterprise AI agents, multi-agent workflows, full-stack applications, APIs, MCPs, and integrations with platforms such as ServiceNow, SAP, and Workday. Deploys secure containerized workloads in AWS and BYOC environments, manages authentication and secrets, translates business processes into AI solutions, and supports architecture, production readiness, rapid prototyping, and technical mentorship.

Manage and govern the bank’s enterprise Power BI platform, including Microsoft Fabric capacity, workspaces, gateways, access controls, reporting standards, deployment, monitoring, and performance optimization. Lead Power BI development practices, SQL-based data integration, Python automation, Jenkins workflows, and release management. Partner with engineering, infrastructure, security, governance, vendors, and business stakeholders to deliver secure, scalable, compliant analytics solutions while mentoring developers and coordinating concurrent initiatives.

Design, build, automate, and operate secure, scalable cloud platforms across AWS, Azure, or GCP. Develop Infrastructure as Code, Kubernetes platforms, CI/CD pipelines, automation, cloud networking, security controls, monitoring, and reliability solutions. Troubleshoot incidents, optimize performance and costs, integrate testing and security scanning, and guide development teams on DevOps practices. Collaborate with architects, engineers, security teams, and clients to deliver resilient cloud-native environments.

Embed with strategic customers to design, build, and deliver production-grade AI/LLM solutions. Lead discovery, scoping, PoCs, integrations (APIs, data pipelines, RAG/vector DBs), production rollouts, and handoffs. Troubleshoot complex data/infra/model issues, collaborate with sales and product teams, and translate customer learnings into prioritized product improvements.

Design, execute, and automate tests for web and mobile applications. Log and verify defects in JIRA, perform functional, regression, and exploratory testing, and collaborate with developers and product owners on requirements, test strategy, and release readiness.

Leads the global enterprise software procurement strategy for a multinational financial institution. Responsibilities include category strategy, strategic sourcing, competitive events, supplier negotiations, commercial agreements, cost optimization, supplier performance, renewals, governance, risk management, and executive stakeholder engagement. The role partners with technology, cybersecurity, legal, risk, and regional procurement teams to support cloud transformation and maximize long-term enterprise value.

Serve as a senior technical advisor for enterprise Databricks customers across APJ and EMEA. Design, review, and optimize Lakehouse, data engineering, analytics, machine learning, and GenAI architectures. Lead workshops, roadmap discussions, implementations, governance, security, and cost optimization efforts. Mentor teams, present to executives, support presales and proposals, resolve technical blockers, and develop reusable architecture assets while helping expand the Databricks consulting practice.

Designs and maintains scalable infrastructure for high-performance trading systems, including CI/CD, observability, databases, cloud resources, Kubernetes deployments, security, backups, disaster recovery, and cost optimization. The role automates AWS provisioning with Ansible and Terraform, manages monitoring with Prometheus, Grafana, and Loki, supports containerized services, enforces GitHub standards, and evaluates AI tools for operational efficiency.

Lead the design and production delivery of enterprise AI solutions, combining hands-on AI engineering with technical architecture and multidisciplinary team leadership. The role covers LLMs, agentic tooling, cloud-native AI platforms, software architecture, data engineering, DevOps, responsible AI, and stakeholder collaboration across enterprise and public-sector environments.

Operate and scale large GPU infrastructure across Linux, bare-metal, cloud, storage, networking, and Kubernetes environments. Build provisioning and automation systems, deploy platform improvements, troubleshoot incidents, support customer infrastructure, improve observability, and participate in an on-call rotation. Partner with infrastructure, networking, software platform, and customer success teams to improve reliability and reduce operational toil.

Analyze sales, financial, customer, and commercial performance data to support forecasting, business planning, growth opportunity identification, and executive decision-making. Build dashboards, reporting solutions, forecasts, scenarios, and actionable recommendations. Partner with business and technology stakeholders to improve data quality, KPI governance, analytics adoption, and measurement of commercial initiatives. Apply statistical, predictive, machine learning, and experimentation techniques when they deliver measurable business value.

Own release processes, monitoring, operational architecture, availability, and performance for an Azure-hosted SaaS platform. Design and operate CI/CD pipelines, troubleshoot issues, and partner with development, QA, business, and client technology teams to deliver a secure, highly available, performant solution.

Leads AI engineering for APAC Global Broking, partnering with brokers and business leaders to identify, design, and deliver productivity solutions. Develops AI agents, workflow automations, retrieval systems, document tools, and integrations from prototype through production. Ensures governance, security, architecture, testing, risk, adoption, and measurable benefits while coordinating business, technology, and control stakeholders.

Leads NiCE’s APAC partner business across India, the Middle East, ANZ, Japan, and Southeast Asia. Owns partner strategy, ecosystem development, partner-sourced revenue, pipeline management, executive relationships, and joint go-to-market initiatives with GSIs, hyperscalers, BPOs, and resellers. Manages and develops 8–10 partner managers, drives AI-first CX enablement, represents NiCE at regional events, and reports on partner performance and market trends.

Designs and owns architecture for Live Sports and Discover APIs, develops highly available and scalable backend systems, and creates low-latency solutions for millions of customers. The role leads strategic projects, mentors engineers, establishes engineering best practices, collaborates cross-functionally, and leverages AI to improve development quality and productivity.

Delivers production-ready banking technology implementations directly with client engineering teams. Responsibilities include backend development, systems integration, infrastructure, distributed-systems troubleshooting, cloud deployment, technical consulting, presales support, and end-to-end project delivery. The role writes Python or Go, works with Kubernetes, databases, messaging systems, and cloud platforms, travels to client sites up to 25% of the time, and channels client feedback into product improvements.

Own HUD’s production infrastructure and backend platform systems, focusing on reliability, scalability, performance, cost, deployment safety, and developer experience. Build AWS infrastructure with Terraform and Kubernetes, improve CI/CD and observability, design resilient services and asynchronous systems, manage incidents, and develop internal automation and tooling. The role supports high-availability AI, marketplace, and data-heavy workloads.

Build and automate cloud cost optimization and governance across AWS and GCP. Analyze billing and usage, identify and implement savings, maintain cost attribution, create reporting and anomaly detection, and write Python, Terraform, and Lambda automation. Partner with Engineering, Finance, Product, and leadership on architecture tradeoffs, forecasting, budgeting, and cost accountability.

Sell Databricks Data + AI platform to emerging enterprise and commercial accounts across the Philippines/SEA. Develop account strategies, map whitespace, drive consumption-based adoption, co-sell with cloud partners, manage full sales cycle, track deals in Salesforce, and collaborate cross-functionally to close and expand accounts.

Supports enterprise customers and account executives as a technical cloud security advisor. Delivers presentations, product demonstrations, whiteboards, proof-of-value engagements, and customer test plans across AWS, Azure, and GCP. Provides technical leadership during the sales process, trains channel customers, stays current on cloud security developments, and represents the company at technical forums and industry events.