Top AWS Jobs in Singapore

Develop secure, intuitive operational applications for manufacturing and frontline workflows across mobile, tablet, and industrial devices. Integrate applications with SAP, MES, enterprise data platforms, AI services, and backend APIs. Build offline-capable workflows, digital instructions, inspections, maintenance tools, inventory transactions, and approvals. Collaborate with multidisciplinary teams, stakeholders, and Agile development groups to improve productivity, usability, and operational decision-making through modern cross-platform, cloud, and AI-enabled technologies.

Leads quality assurance for enterprise software delivery projects, including QA planning, test strategy, automation, API/UI/integration/end-to-end testing, CI/CD integration, defect management, UAT, quality reporting, and service transition. Coordinates stakeholders, external test consultants, and audit teams while monitoring operational quality. Requires strong SDLC, Agile, DevOps, cloud, performance testing, security testing, and quality governance experience.

Six-month full-time internship designing, building, testing, and deploying production-ready card issuing and spend card features across backend, APIs, and front-end. Tasks include technical design, feature development, automated testing, observability, production deployment, cross-functional collaboration, and showcasing delivered capabilities under mentor guidance.

Own strategic account growth and AI partnership development across enterprise and public-sector clients. Build executive relationships, create long-term account strategies, manage commercial performance, develop joint go-to-market initiatives with Microsoft and GitHub, coordinate executive engagements and events, and contribute to AI consulting offerings, thought leadership, and commercial playbooks.

Leads end-to-end delivery of complex public-sector application modernization projects. Manages plans, scope, schedules, risks, dependencies, stakeholders, vendors, testing, releases, and operational readiness. Translates business requirements into technical delivery plans, performs application and technical impact analysis, understands architecture and code, and coordinates engineering, cloud, DevOps, security, and quality teams across Agile or hybrid SDLC environments.

Senior customer success leader owning end-to-end strategy for enterprise accounts: drive Azure and AI adoption, ensure customer health and security, orchestrate cross-functional delivery, accelerate consumption and growth, engage executives, and deliver measurable business outcomes.

Build and deploy LLM-based automation solutions for energy and commodities trading workflows. Responsibilities include designing agentic AI workflows, developing prompts, AI Skills, and MCPs, gathering requirements from business stakeholders, and delivering production-ready solutions. The role requires hands-on Python engineering, collaboration with non-technical users, documentation, and autonomous ownership of AI projects.

Own a portfolio of strategic enterprise accounts across APAC, developing multi-year growth strategies, executive relationships, transformation opportunities, and partner-led pipeline. Lead virtual teams across sales, presales, delivery, and customer success; expand wallet share; manage complex negotiations; maintain forecast accuracy and CRM discipline; and position Adaptavist as a long-term transformation partner across DevOps, developer experience, AI adoption, cloud migration, and toolchain modernization.

Provides cybersecurity expertise for enterprise infrastructure, designing secure architectures, conducting penetration tests and vulnerability assessments, managing monitoring and access controls, responding to incidents, securing cloud environments, and ensuring compliance with CIS, NIST, and ISO 27001 standards. Advises infrastructure teams and stakeholders on security risks, remediation, and best practices.

Build and operate ingestion and ELT pipelines, maintain metadata repositories and internal data tools, implement data-quality checks, reconcile financial data, investigate anomalies, and support analysts. The role includes backend service development, production ownership, AWS-based platform work, and integrating LLM/RAG capabilities into data tools.

Leads solution architecture across regional insurance projects and transformation programs. Designs and governs cloud-native, microservices, API-driven, AI/ML, Generative AI, data, and AWS architectures. Establishes technology standards, ensures security and regulatory compliance, evaluates insurance platforms, and translates business objectives into target-state architectures and roadmaps. The role partners with product and technical teams, resolves complex delivery issues, presents to senior executives, and influences technology adoption across Asia.

Leads an L2 service recovery team supporting critical banking systems. Oversees major incident resolution, escalations, root cause analysis, service-level adherence, runbooks, post-incident reviews, and continuous improvement. Partners with engineering and infrastructure teams to implement permanent fixes, supports disaster recovery and business continuity activities, ensures regulatory compliance, and maintains 24/7 coverage while developing team capability.

Designs, builds, deploys, and operates scalable cloud data lakehouse platforms and production ETL/ELT pipelines. Responsibilities include data architecture, open table formats, automated data quality, governance, access controls, CI/CD, infrastructure as code, analytics and AI enablement, documentation, monitoring, incident response, and cost optimization. The role collaborates with technical and business stakeholders across Databricks, Spark, AWS, and Microsoft Fabric environments.

Provide customer-facing support for hybrid and self-hosted deployments across AWS, Azure, and GCP. Diagnose Kubernetes, Terraform, networking, IAM, TLS, performance, database, and reliability issues using observability data. Lead incident response, submit fixes to backend and infrastructure code, build diagnostic tooling, maintain runbooks, and improve recurring failure modes. Participate in an on-call rotation while partnering closely with Infrastructure, Engineering, Product, and customers.

Provide customer-facing support for hybrid and self-hosted deployments across AWS, Azure, and GCP. Debug Kubernetes, Terraform, networking, IAM, TLS, backend performance, databases, and cloud issues. Lead incident response, submit fixes to backend and deployment tooling, build diagnostics and health checks, maintain runbooks, and participate in on-call rotation. Partner with Engineering and Product to eliminate recurring failures.

Leads customer technical strategy, architecture discussions, Databricks adoption, and production deployments across data engineering, AI/ML, streaming, and real-time analytics. Advises senior technical stakeholders, designs scalable cloud-native solutions, demonstrates competitive differentiation, coordinates cross-functional resources, and develops technical specialization. Requires strong Python and SQL coding, distributed data systems expertise, public cloud experience, and the ability to translate complex architectures into business value.

Hands-on senior architect who designs and implements scalable, secure cloud-native solutions, mentors engineers, drives CI/CD and automation, and integrates public blockchain technologies with enterprise systems within the financial services domain.

Design, build, and evolve internal ML platform capabilities, self-service workflows, and automation to improve developer productivity, reliability, observability, and deployment safety. Troubleshoot model-serving and GPU workloads, define SLOs/SLIs, run resilience testing, integrate AI-assisted engineering tools, and lead incident response and operational improvements while establishing governance and guardrails for AI-native workflows.

Build and maintain scalable backend platforms, APIs, and infrastructure across Singapore and Australia. Lead software delivery from architecture and design through deployment and maintenance, improve code quality and development processes, and collaborate cross-functionally to deliver customer-focused products. Drive innovation, system reliability, security, scalability, and operational efficiency while supporting product and business growth.

Design, build, and operate highly reliable, scalable, event-driven systems for card issuing, transactions, and settlement. Lead architecture, drive platform improvements, ensure operational readiness, mentor senior engineers, and influence cross-team technical direction.

Lead technical direction and hands‑on implementation of Airwallex's real‑time risk and fraud detection platform. Design distributed, low‑latency systems; own end‑to‑end delivery; write production Java/Spring Boot code; integrate ML models and feature stores; ensure observability, reliability, and operational excellence; mentor engineers and collaborate across product, data, SRE, and security teams.

Design, build, and maintain scalable, secure backend services for card issuance and spend management. Own end-to-end feature delivery, contribute to architecture, write reliable testable code, ensure observability and API quality, collaborate cross-functionally, and mentor other engineers.

Lead strategy, roadmap, and delivery of real-time fraud detection and client-facing risk products. Architect scalable, high-availability systems, drive operational excellence, recruit and develop engineering managers and senior engineers, collaborate with cross-functional teams, and ensure reliability, observability, and cost-efficient real-time decisioning under high load.

Lead a KYC engineering team to design, build, and maintain scalable automation and AI-driven systems for onboarding, risk detection, and fraud prevention. Collaborate with product, ops, and compliance, participate in architecture and code reviews, improve reliability and performance, and mentor junior engineers.

Design and build scalable backend infrastructure for global payments: optimize API gateways, routing, search, notifications, workflows; solve distributed systems challenges, evaluate new technologies, and improve developer experience and performance at scale.