Top AWS Jobs in Singapore

Develop and maintain full-stack mobile web and progressive web applications using React Native, JavaScript, TypeScript, Node.js, APIs, and cloud infrastructure. Responsibilities include frontend and backend development, testing, code reviews, DevOps deployment, monitoring, security implementation, and compliance within a government cloud environment. The role also supports WhatsApp Business API integration and secure application delivery using containerization, CI/CD, and modern observability tools.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Develop tools and infrastructure for training language models in interactive environments, implement novel methods in language modeling, reinforcement learning and multi-agent systems, and contribute to publications and open-source projects.

Sell Chainguard's hardened open-source and security-focused SaaS to enterprise customers. Build territory plans, manage inbound/outbound pipelines, forecast and hit quota, collaborate with product and engineering, track opportunities in CRM, and evangelize product differentiators to technical decision-makers.

Leads Asia technology strategy and operations while owning Manulife’s global cloud environment and platform agenda. The role oversees Azure, AWS, and AliCloud strategy; cloud engineering, infrastructure, networks, end-user services, resilience, automation, modernization, financial management, and regulatory risk. It drives cloud migration, data-center exits, infrastructure-as-code, platform engineering, AI-enabled operations, and multi-country technology delivery while building distributed leadership teams and reusable cloud products.

Leads NTU Singapore’s technology audit capability, including risk-based audit planning, cybersecurity and IT control assessments, cloud and enterprise systems audits, data governance, digital transformation, and AI initiative reviews. The role presents technology risks to senior leadership and the Audit & Risk Committee, develops audit methodologies and analytics, coaches auditors, manages external specialists, and evaluates controls across research and university technology environments.

Lead software engineering work for JPMorganChase’s Post Trade Technology team, designing, developing, testing, troubleshooting, and supporting secure, scalable production applications. The role involves code review, operational stability improvements, cloud-native development, SDLC practices, agile delivery, and evaluating vendor architectures. It also leads responsible adoption of AI-assisted engineering tools for coding, testing, code review, incident analysis, and automation.

Build and maintain customer lifetime value, churn, conversion, clustering, classification, and sentiment analysis models across APAC markets. Partner with commercial, marketing, and finance teams to translate business questions into analytical solutions, present insights to non-technical stakeholders, and manage the full data science lifecycle from problem framing and data extraction through deployment and monitoring.

Build and evaluate benchmark datasets for LLM systems processing patent documents and deal-sourcing data. Responsibilities include reviewing and refining annotations, running blind-test evaluations, measuring extraction reliability, identifying hallucinations and edge cases, cataloging schemas, and preparing quality-acceptance reports. The role offers direct engineering supervision, stakeholder-facing projects, and deployment experience.

Build and ship internal AI-enabled applications, including data-review, deal-signal, service-monitoring, and patent/IP-management tools. Develop agents and automations connecting internal systems, integrate LLM-based judgment steps, write reliability tests, and contribute to full-stack development and deployment. Work directly with stakeholders and learn relevant patent and intellectual-property domains.

Leads pre-sales technical alliance strategy with AWS, Google Cloud, and Microsoft Azure partners across APJ. Delivers cloud security enablement, architectural workshops, Capture The Flag events, executive briefings, and co-sell support. Advises CSP partner teams on integrating Wiz into enterprise architectures, collaborates with sales, product, and engineering teams, and channels partner feedback into product integrations and roadmap development. Requires travel of up to 40% across APJ.

Leads strategic customer relationships and post-sales success for Singapore public-sector clients. Orchestrates Microsoft and partner resources, customer success plans, program delivery, adoption, consumption, security, risk mitigation, and value realization across Azure, Security, Modern Work, and Dynamics. Coaches other Customer Success Account Managers, leads executive-level conversations, manages escalations, and aligns technology solutions with customer transformation goals and business outcomes.

Build and maintain Turso’s open-source database and cloud platform. Responsibilities include advancing PostgreSQL compatibility, ensuring software correctness through testing and verification, operating cloud APIs and data planes, and scaling systems to support substantially more databases. The role involves Rust development, embedded database technology, large-scale cloud operations, observability, reliability, performance improvements, and collaboration with customers, open-source communities, and distributed teams.

Manage company-wide risk assessments, risk registers, remediation tracking, control testing, audits, evidence collection, and SOC 2 and ISO 27001 compliance operations. Partner with engineering, security, IT, and legal to validate controls, automate evidence gathering, investigate failures, support customer and vendor security reviews, and improve continuous compliance practices in a fully remote environment.

Leads a team developing and productionizing predictive, machine learning, deep learning, and GenAI solutions for semiconductor manufacturing and HBM product engineering. Responsibilities include yield and reliability modeling, large-scale data pipelines, MLOps, model monitoring and drift control, distributed analytics, deployment, and engineering decision support. The role also requires mentoring engineers, setting technical direction, collaborating cross-functionally, and translating model outputs into improvements in quality, cost, cycle time, and manufacturing efficiency.

Designs, implements, maintains, and supports enterprise LAN, WAN, WLAN, data center, routing, switching, telephony, and load-balancing infrastructure. Administers Cisco and Huawei networks, Cisco CUCM, SIP and voice gateways, and F5 BIG-IP load balancers. Provides Level 2/3 support, monitors performance, troubleshoots incidents, performs capacity planning and upgrades, maintains documentation, and participates in change, problem, and on-call activities.

Build and productionize AI-powered solutions embedded with investment, corporate, and engineering teams. Responsibilities include gathering requirements, designing agentic workflows, developing AI agents and prompts, handling documents and market data, delivering solutions through production and user acceptance testing, and iterating based on stakeholder feedback. The role also contributes reusable AI patterns, engineering best practices, and product roadmap decisions.

Build and operate scalable backend services and APIs for an AI-driven legal platform. Responsibilities include asynchronous message-queue processing, document data pipelines, PostgreSQL schema and query optimization, authentication and authorization, search and vector storage integration, observability, automated testing, CI pipelines, technical design, production support, and on-call participation.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

Manages the full lifecycle of AWS cloud platforms across engineering, operations, and security. Responsibilities include infrastructure provisioning with IaC, CI/CD, Linux and Windows administration, networking, monitoring, patching, backup and disaster recovery, incident and change management, security controls, compliance, vulnerability remediation, and L2/L3 support. The role also supports automation, workload migrations, audits, and adherence to Singapore Government cloud and cybersecurity requirements.

Operate, monitor, and maintain OTT, broadcast, encoding, transcoding, networking, and media delivery platforms. Investigate incidents, perform root-cause analysis, implement fixes, complete upgrades and patching, produce operational reports, maintain documentation, and support project testing and commissioning. The role includes 24x7 rotational shifts and on-call support while collaborating with vendors and internal teams.

Support long-term strategic planning for Singapore’s transport system and infrastructure. Conduct studies, assessments, and quantitative analyses using large datasets, modelling tools, and emerging technologies such as AI. Collaborate with LTA teams, government agencies, and diverse stakeholders to develop planning insights, communicate complex findings, and shape transport policy and future infrastructure decisions.

Build and manage automated infrastructure provisioning, CI/CD pipelines, cloud and virtualization environments, containers, monitoring, and disaster recovery systems. Troubleshoot production incidents, participate in on-call rotations, implement security controls and hardening, conduct vulnerability assessments, and support compliance and business continuity across complex hybrid-cloud platforms.

Leads end-to-end technical delivery for full-stack software projects, serving as the primary client technical contact while remaining hands-on in development. Responsibilities include architecture, technical planning, mentoring, code quality, TDD, CI/CD, DevSecOps, cloud deployment, and continuous improvement. The role also guides responsible AI-assisted development and builds AI-powered solutions such as MCP servers and agents. Requires strong stakeholder communication, technical decision-making, and leadership across the full software development lifecycle.

Lead development of scalable, secure, and highly available cloud platform infrastructure for AI products. Design high-performance systems, reusable data pipelines, REST APIs, and automation-ready cloud operations. Work with multi-terabyte datasets, integrate cloud-native technologies, resolve complex integration issues, perform quality assurance, and refine system performance. Collaborate with global teams, customers, and partners while mentoring peers and defining platform engineering best practices.