Top AWS Jobs in Singapore

Design, build, and scale backend services in Golang powering onboarding and KYC across products and regions. Own end-to-end delivery, improve onboarding conversion via data-driven changes, lead cross-cutting design reviews, and ensure security, operational integrity, and scalable architecture for rapid global expansion.

Lead design and implementation of cloud-native IAM and account infrastructure. Define technical strategy, build high-availability backend services in Java/Kotlin, enforce security protocols (OAuth2/OIDC/SAML), optimize scalable infrastructure, mentor engineers, and align roadmaps with Product, Security, and Compliance for global regulatory requirements.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Define global technical strategy and architecture for enterprise and cloud corporate networks. Design, deploy, and maintain multi-region hybrid LAN/WAN/wireless/VPN connectivity across offices and clouds, manage multi-vendor hardware, lead incident response and on-call rotations, implement IaC automation (Terraform, Ansible), mentor and grow the network team, and collaborate cross-functionally to secure and scale network services.

Design, build and maintain scalable, secure cloud infrastructure and core services. Work on public cloud platforms, Kubernetes and service mesh, automate operations with IaC, and collaborate with engineering, product and security teams to ensure reliability and developer usability at global scale.

Own end-to-end design and development of scalable payment and treasury systems, shape APIs and architecture, drive production excellence, and collaborate cross-functionally to build customer-facing fintech solutions and AI-enabled automation.

Lead architecture and development of backend systems for card products, drive cross-team technical initiatives, own service lifecycle, ensure scalable, secure, high-performance designs, establish best practices, and mentor engineers.

Design, build, and maintain scalable Java/Kotlin microservices and event-driven systems for high-throughput global growth initiatives. Collaborate with data scientists and product teams to create data pipelines and analytics, enable A/B testing and feature toggles, improve observability and performance, and ensure secure, compliant backend solutions while mentoring peers.

Lead design, delivery and operation of scalable cloud infrastructure for Spend. Embed with product teams to drive reliability, observability, incident response, SLOs, runbooks, automation and compliance. Lead infrastructure projects like new service launches and global data centre migrations while collaborating with central DevOps and security.

Design, deploy, automate, monitor, and operate production databases across cloud environments. Troubleshoot incidents, participate in on-call rotations and post-incident reviews, execute large-scale migrations, improve fleet reliability, and collaborate with engineering and customer-facing teams to build resilient database systems.

Sell MongoDB products within an assigned territory by prospecting, qualifying, and closing complex enterprise deals. Build relationships, exceed bookings targets, collaborate with Professional Services, and participate in sales enablement and leadership programs.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.

Own technical relationships with DigitalOcean's largest enterprise customers. Act as trusted advisor to executive stakeholders, run QBRs/EBRs, and drive architecture, migration, and GPU/AI workload optimization. Collaborate with Product and Engineering to remove roadblocks, influence roadmap, and identify expansion and cost-optimization opportunities.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

Designs, configures, integrates, tests, deploys, and sustains mission-critical IT, logistics, communications, and supporting systems across distributed and expeditionary environments. Analyzes architectures and dependencies, develops reconfiguration and rollback plans, troubleshoots complex integration issues, maintains configuration baselines, supports cybersecurity and RMF compliance, and validates interoperability and operational performance. Provides technical guidance to junior personnel and supports contingency operations, DDIL environments, exercises, and rapid system relocation or adaptation.

Designs, integrates, tests, deploys, and sustains IoT, RFID, GPS, environmental, and edge sensor systems for defense logistics and operational environments. Develops integration architectures, interface requirements, deployment strategies, documentation, and performance assessments. Troubleshoots hardware, communications, software, and data issues; integrates sensor data with enterprise analytics and asset visibility platforms; supports field validation, exercises, and contingency operations. Coordinates with government, engineering, cybersecurity, logistics, vendor, and coalition stakeholders while mentoring junior personnel.

Build, automate, and maintain AWS cloud infrastructure and CI/CD pipelines for web and mobile applications. Manage infrastructure as code, containers, monitoring, logging, security, compliance, releases, cloud costs, troubleshooting, and operational documentation. Collaborate with developers, technical leads, and project managers to deliver reliable, secure, and efficient deployments for clients and public-sector projects.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

Design, build, and support full-stack ERP, MES, intranet, and internal operational platforms. Develop Go backend services and React/TypeScript interfaces, integrate enterprise systems, and deliver AI capabilities including search, summarization, extraction, and workflow assistance. Own architecture, APIs, data models, reliability, security, observability, and production support while collaborating with manufacturing, supply chain, finance, product, and AI teams. Mentor engineers and lead technical initiatives across platform boundaries.

Build and maintain automated functional, regression, API, and performance tests using JavaScript or TypeScript and Playwright. Integrate testing into CI/CD pipelines, manage test environments, containers, databases, mock data, and snapshots, and analyze observability and performance metrics. Collaborate with agile teams and Singapore government agencies to deliver reliable, secure, high-availability software. Participate in Scrum ceremonies and quality engineering initiatives.

Leads customer-facing technical engagements, including discovery, solution design, architecture reviews, proofs of concept, and live demonstrations on the Databricks Platform. Develops account-level technical strategies with Account Executives, explains competitive differentiation, and builds reusable technical assets. The role requires strong Python and SQL skills, cloud data solution experience, distributed systems knowledge, presentation ability, and expertise in data engineering, analytics, or machine learning.

Lead customer technical engagements across discovery, solution design, architecture reviews, proofs of concept, and live Databricks demonstrations. Design data engineering, analytics, and machine learning solutions; build production-quality code and reusable technical assets; manage frontline technical relationships; and partner with Account Executives on account strategies that expand platform adoption and consumption.

Leads end-to-end technical strategy for customer accounts, including architecture design, platform adoption, production deployment, and consumption growth. Advises senior technical stakeholders, designs scalable data engineering, AI/ML, streaming, and analytics solutions, demonstrates competitive differentiation, coordinates cross-functional technical resources, and provides product feedback. The role also requires live coding, architecture presentations, and development of a technical specialization.

Lead technical strategy for customer accounts, guiding architecture discussions, platform adoption, production deployments, and consumption growth. Design scalable solutions across data engineering, machine learning, AI, and real-time analytics. Advise senior technical stakeholders, develop a technical specialization, coordinate cross-functional resources, demonstrate competitive platform advantages, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, cloud deployment experience, and excellent communication skills.