Top AWS Jobs in Singapore

Own the full sales cycle across ASEAN, from prospecting through enterprise close. Conduct technical discovery, connect customer needs to business outcomes, and collaborate with Sales Engineering, Product, AWS, and regional partners on demos and proofs of concept. Manage territory strategy, pipeline, forecasting, account planning, procurement, security, and data residency discussions. Sell to founders, CTOs, engineering leaders, and platform teams, then transition customers to Customer Success for onboarding and expansion.

Own technical success for new and early-stage Snowflake customers by accelerating implementation, platform adoption, and consumption growth. Provide data architecture guidance, support integrations and use cases, deliver technical enablement through labs and webinars, and advise customers on data strategy and AI workflows. Collaborate with account teams, product management, engineering, and partners while using AI-powered tools to accelerate solutions and communicate technical concepts to diverse audiences.

Manage and engineer AWS platform environments for a Singapore Government agency, including infrastructure provisioning, Terraform and CloudFormation IaC, networking, Linux and Windows administration, CI/CD, monitoring, backup, disaster recovery, incident response, and operational automation. Implement AWS security controls, IAM, logging, vulnerability remediation, compliance monitoring, audit support, and IM8/GCC governance requirements. Provide L2/L3 support and maintain reliable Development through Production environments.

Leads consulting, solution architecture, technical presales, and delivery guidance for enterprise data platform, analytics, and AI engagements. Translates business needs into target architectures, transformation roadmaps, deployment approaches, estimates, and proposals. Facilitates senior-client workshops, coordinates vendors and partners, advises post-award delivery teams, develops reusable assets, and mentors consultants. The role focuses primarily on Singapore public sector and enterprise clients.

The Full Stack Developer will design, develop, test, and deploy features for both frontend and backend systems, collaborating closely with product managers and other engineers, while mentoring junior developers and optimizing application performance.

Lead and scale distributed engineering teams, drive technical best practices, manage project timelines and risks, oversee hiring and career development, and ensure scalable, secure, maintainable architectures while collaborating with product and stakeholders.

Provides advanced technical support for Elastic products, resolving complex customer issues within SLA through troubleshooting, diagnostics, documentation, and direct communication. Builds lab environments to reproduce problems, develops product expertise, improves support processes, collaborates with engineering and distributed teams, and contributes to customer knowledge bases. The role includes weekend on-call rotation, technical leadership in support communities, and work with cloud-native, containerized, distributed systems.

Owns technical audit projects covering cloud infrastructure, DevOps, CI/CD, infrastructure as code, containerization, IT general controls, AI/ML governance, cloud security, identity, resilience, secure SDLC, and data engineering. Identifies emerging technology risks, performs control testing, uses AI to enhance audit work, and partners with Engineering, SRE, and Security teams on practical remediation in a global crypto exchange environment.

Lead the design, development, and delivery of a secure, scalable AWS-based digital platform. Translate architecture into frontend, backend, API, database, and deployment designs; guide developers; enforce engineering and code-quality standards; oversee React, TypeScript, Node.js, and PostgreSQL development; support CI/CD and AWS deployments; and coordinate security testing, vulnerability remediation, and VAPT readiness.

Leads end-to-end application modernization projects for public sector clients, managing scope, requirements, schedules, budgets, resources, risks, quality, and stakeholder relationships. Oversees delivery across the SDLC, from proposals and specifications through development, testing, training, and final implementation. The role requires strong technical knowledge of cloud platforms, microservices, Agile methods, government procurement, and compliance, along with experience leading web application or content management system projects.

Develop and maintain scalable AI-enabled web applications, including chatbots, AI agents, MCP integrations, backend services, APIs, and frontend interfaces. Build RAG pipelines, integrate LLMs, implement security controls, automate testing and deployments, and monitor application performance and AI quality. Collaborate with DevOps, QA, stakeholders, and technical teams to deliver secure, reliable public-facing digital services for Singapore government agencies.

Designs and maintains scalable batch and real-time data pipelines, ETL/ELT processes, data warehouses, data lakes, marts, and APIs. Responsibilities include data extraction, cleaning, transformation, web scraping, database development, data integration, and backend support. The role collaborates with architects, analysts, developers, designers, and project managers in an Agile environment, using cloud platforms, big data frameworks, and modern data engineering tools.

Develops and closes enterprise AI solution deals across APAC, targeting media, fintech, and logistics organizations. Builds sales pipelines, leads consultative discovery, maps business challenges to AI solutions, negotiates complex contracts, and develops partnerships with cloud providers, systems integrators, and technology vendors. Collaborates with solution architects and marketing while explaining AI concepts, risks, privacy, and ROI to technical and business stakeholders.

Own the reliability, deployment, and operational excellence of an AI platform. Lead CI/CD, multi-cloud and on-premise infrastructure, Terraform-based provisioning, Kubernetes operations, observability, security, compliance, automation, and incident response. Develop Python tooling and APIs, improve system resilience and scalability, manage disaster recovery, and establish reliability practices such as SLIs, SLOs, error budgets, postmortems, and runbooks. Collaborate with engineering and security teams while mentoring others on operational best practices.

Maintains the availability, reliability, and performance of Geotab’s global telematics platform. Responsibilities include critical incident response, production troubleshooting, observability, monitoring and alerting improvements, operational automation, system testing, post-incident reviews, and 24/7 on-call support. The role collaborates with development and infrastructure teams to restore services, reduce operational toil, meet SLOs, and improve application resilience across large-scale monolithic and microservices environments.

Hands-on senior cloud engineer responsible for operating, securing, and improving AWS infrastructure and platform services. Duties include patching, upgrades, release support, alert triage, incident response, Terraform infrastructure as code, automation, project delivery, documentation, and security remediation. The role supports production environments through ITSM and change-control processes, collaborates across teams, and participates in a follow-the-sun on-call rotation.

Build and scale Airwallex’s machine learning platform for risk and fraud decisioning. Design data and model infrastructure, productionize training and serving workflows, improve experimentation, and optimize GPU-based training and inference. Partner with machine learning engineers, data scientists, product managers, and risk specialists to deliver reliable, low-latency systems. The role is based in Singapore and requires working from the office five days per week.

Full-stack engineer responsible for designing, developing, deploying, and maintaining scalable, secure web applications. Work spans frontend and backend development, API design, cloud infrastructure, CI/CD, observability, security, and collaboration with QA and DevOps to ensure performance and reliability.

Design, automate, and maintain secure, scalable infrastructure, cloud environments, and CI/CD pipelines. Develop deployment and configuration automation, manage containers and virtual machines, monitor system performance, troubleshoot incidents, and implement disaster recovery. Integrate security controls, vulnerability scanning, system hardening, threat assessments, secrets management, network security, and compliance practices across infrastructure and applications. Support high-availability systems in hybrid cloud and regulated government environments.

Supports sales teams, channel partners, and customers by designing and positioning F5 application delivery, networking, and security solutions. Responsibilities include solution architecture, technical proposals, demonstrations, workshops, proof-of-concept activities, partner enablement, competitive positioning, lab maintenance, and technical guidance throughout the sales cycle. The role requires networking fundamentals, familiarity with F5 technologies, strong communication skills, and willingness to travel for customer and partner engagements.

Develop and support high-scale Java backend microservices for fraud-risk monitoring and distributed systems. Design 24/7 APIs, event-driven services, configurable fraud rules, and data-driven risk solutions across AWS and Alibaba Cloud. Tune JVM performance, write automated tests and CI/CD scripts, monitor production services, and address performance, security, reliability, and fault-tolerance challenges. Collaborate cross-functionally, lead technical decisions, and promote new technologies.

Designs and maintains CI/CD pipelines, infrastructure automation, and deployment systems using Puppet and IaC tools. Monitors Node.js applications and microservices, improves scalability and resilience across hybrid clouds, and leads incident response and root-cause analysis. Builds observability systems covering telemetry, logging, and alerting. The role also requires expertise in containers, cloud platforms, Linux/Unix administration, networking, security, and troubleshooting distributed systems.

Develop and execute enterprise sales plans, communicate product value, manage inbound and outbound pipelines, forecast and exceed quotas, track opportunities in CRM, build executive relationships, and collaborate with product, support, and sales engineering teams. The role requires strong SaaS and security sales experience, knowledge of cloud, DevOps, CI/CD, and software development tools, plus occasional client travel as needed.

Designs and maintains secure, scalable infrastructure, deployment pipelines, cloud environments, and automation systems. Responsibilities include CI/CD configuration, infrastructure provisioning, monitoring, disaster recovery, troubleshooting, vulnerability assessments, system hardening, security architecture, threat and risk assessments, secrets management, and zero-trust implementation. The role supports high-availability hybrid environments, integrates security into development workflows, and participates in incident escalation and DevSecOps transformation initiatives.

Design and build internal developer platforms, backend services, CI/CD pipelines, and toolchains to improve developer productivity. Partner with engineering teams to identify bottlenecks, enhance reliability, scalability, observability, and contribute to system architecture and roadmaps.