Top AWS Jobs in Singapore

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.

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.

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 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.

Build and operate secure cloud and on-premises infrastructure for transport AI systems. Responsibilities include GPU compute, model-serving environments, CI/CD, infrastructure-as-code, observability, MLOps support, security compliance, partner integration, incident response, capacity planning, and disaster recovery for live transport operations.

Drive technical sales and customer adoption of Milvus and Zilliz Cloud across Southeast Asia. Design scalable vector search and retrieval architectures, lead demonstrations, benchmarks, and proofs of concept, and support customers through production deployment and optimization. Partner with Sales, Engineering, and Product while building technical relationships, reusable assets, reference architectures, and enablement materials. The role requires strong expertise in distributed systems, databases, cloud-native technologies, APIs, performance analysis, and AI application architectures.

Lead the design, delivery, and operation of secure, scalable software capabilities for AI security products. Own complex technical initiatives, make architectural decisions, investigate production issues, improve engineering practices, mentor engineers, and collaborate with product and research teams. The role requires expertise in distributed systems, security engineering, backend platforms, cloud infrastructure, concurrency, networking, storage, APIs, and observability, with strong proficiency in Go, Rust, and Python.

Provide business-facing production technology support across Asia Pacific within a global follow-the-sun model. Manage incidents, escalations, post-incident analysis, monitoring, service KPIs, and preventative improvements across applications and infrastructure. Serve as an application subject matter expert, apply SRE practices, troubleshoot complex full-stack systems, and improve support tools and processes. Collaborate with business, technology, and vendor teams to maintain operational stability, availability, and performance.

Design, develop, and deploy enterprise generative AI agents and full-stack AI applications. Translate client business needs into prototypes, production solutions, and implementation strategies. Build agent workflows using RAG, tool calling, memory, orchestration, guardrails, and human-in-the-loop processes. Integrate applications with enterprise systems, APIs, databases, and cloud platforms. Support consulting workshops, technical advisory, pre-sales demonstrations, and production monitoring while communicating effectively with English- and Japanese-speaking stakeholders.

Lead enterprise SIEM and UEBA security monitoring services, including platform engineering, log onboarding, detection rule development, behavioral analytics, data quality governance, and monitoring coverage reconciliation. Partner with SOC, infrastructure, cloud, network, application, and security teams to improve detection capabilities. Provide technical leadership, support investigations, manage platform initiatives, automate workflows, and maintain operational standards and documentation across a regulated banking environment.

Partners with customers and stakeholders to define business and technical requirements, facilitate discovery workshops, and shape cloud-native digital solutions. Translates business needs into user stories, functional specifications, process flows, and acceptance criteria while collaborating with engineers, architects, and product teams. Supports Agile delivery, solution demonstrations, proof-of-concepts, pre-sales discussions, testing, UAT, and production rollouts. Provides technical and business advisory throughout project delivery.

Leads the end-to-end strategy, governance, delivery, and adoption of enterprise AI and Generative AI programs. Responsibilities include defining roadmaps, identifying adoption opportunities, developing business cases and ROI models, coordinating senior stakeholders and technical teams, managing scope, budgets, risks, compliance, data privacy, and AI ethics, and driving organizational change. The role also measures program outcomes and business impact while ensuring alignment with enterprise objectives.

Supports Singapore-based MSP and MSSP partners by delivering technical training, demos, proofs of value, solution design, and service integration for Horizon3’s NodeZero platform. Develops partner enablement materials, advises on offensive security and managed security operations, collaborates with sales and product teams, and gathers partner feedback. The fully remote role may require up to 50% travel.

Serve as a technical advisor for Splunk solutions throughout the sales cycle. Demonstrate products, conduct discovery, recommend architectures, respond to RFPs and RFIs, lead proofs of concept, address technical risks, and support customer adoption. The role requires expertise in cybersecurity, SIEM, SOAR, observability, AI/ML, and enterprise security controls, along with strong presentation, collaboration, and customer-facing skills. Travel to partners, prospects, customers, and industry events may be required.

Designs, builds, tests, documents, and delivers software applications in an agile, multinational AIR Lab team. Responsibilities span architecture, implementation, automated testing, performance and security testing, continuous delivery, and collaboration with Product Owners. The role requires strong software design, algorithms, testing, Linux, and CI/CD expertise, with desirable experience in containers, cloud, Kubernetes, Kafka, event-driven architecture, cybersecurity, and data lake technologies.

Build, deploy, maintain, and monitor scalable machine learning systems, infrastructure, pipelines, and applications. Collaborate with data scientists, engineers, clients, and stakeholders to deliver ML solutions, lead functional workstreams, explore emerging tools, address technical challenges, and mentor team members. Apply MLOps, CI/CD, cloud and on-premises infrastructure, model training, deployment, monitoring, and evaluation practices while contributing to the organization’s machine learning strategy.

Infrastructure Engineer responsible for designing, implementing, and improving enterprise and web-scale infrastructure. The role involves cloud platforms, DevOps, Infrastructure as Code, application hosting, CI/CD, monitoring, security, and automation. The engineer collaborates with software delivery teams and clients, develops technical roadmaps, establishes continuous delivery processes, and advises engineering leadership on scalable, secure solutions.

Develops, designs, tests, troubleshoots, and maintains secure, scalable software components within an agile banking technology team. Writes high-quality Java or Kotlin code, considers system dependencies, supports operational stability, analyzes data to solve technical problems, and applies SDLC automation and AI-assisted development tools. Requires collaboration across system design, application development, testing, security, resiliency, and cloud technologies, with blockchain and modern front-end familiarity preferred.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Designs, implements, and improves client infrastructure and cloud platforms through hands-on DevOps, platform engineering, automation, and continuous delivery. The role develops technical roadmaps, manages Kubernetes and AWS environments, establishes infrastructure controls, monitors delivery quality, and advises client engineering leadership. It also requires collaboration across technical and business teams, consulting expertise, and the ability to communicate complex concepts to nontechnical stakeholders.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Drive enterprise growth across Singapore by developing executive relationships, generating consulting sales, and securing large Data and AI transformation engagements. Oversee account delivery, commercial agreements, proposals, budgets, risks, and stakeholder alignment. Lead technology adoption, organizational change, and strategic partnerships with major cloud and data platform providers while supporting consultant development and fostering an inclusive, innovative culture.