Top AWS Jobs in Singapore

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.

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.

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.

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.

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.

Plan and execute red team, adversary emulation, and purple team engagements across banking infrastructure. Develop MITRE ATT&CK-mapped attack scenarios, conduct controlled reconnaissance and exploitation, maintain Rules of Engagement, validate detection coverage, and provide actionable technical and management reporting. Coordinate regional exercises, manage stakeholders and logistics, improve red team methodologies and tooling, and monitor emerging threat actor behaviors and techniques relevant to financial services.

Lead complex, cross-functional regionalization and developer enablement infrastructure programs across engineering, architecture, security, compliance, and product teams. Own delivery plans, milestones, dependencies, forecasting, risk mitigation, executive reporting, and impediment removal. Drive infrastructure readiness for regulated cloud regions, improve delivery automation and operational processes, and champion Agile and Lean practices through retrospectives and continuous improvement.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

Lead AI product adoption and technical go-to-market strategy across Asia Pacific and Japan. Advise customers and executives on data, analytics, machine learning, and generative AI architectures; deliver presentations, demos, and competitive pitches; support field engineering and sales teams; develop enablement materials; influence product direction; lead specialist teams; and represent Databricks through conferences, webinars, and published content.

Designs, operates, and scales production hybrid infrastructure across on-premises, cloud, and customer environments. Responsibilities include Kubernetes platform management, secure networking, observability, deployment automation, GitOps, infrastructure as code, high availability, incident response, disaster recovery, and internal developer platform capabilities. The role supports autonomous driving services, data systems, streaming platforms, and internal tooling while maintaining strict reliability and security standards.

Leads the architecture and development of enterprise AI agents, multi-agent workflows, full-stack applications, backend platforms, and secure integrations. Establishes standards for AI architecture, prompts, tools, telemetry, authentication, observability, governance, scalability, and cost optimization. Designs AWS deployment architectures, leads technical initiatives and workshops, serves as the FDE technical subject matter expert, and mentors engineers while partnering with global business and technology stakeholders.

Design, build, and maintain scalable backend services and APIs using Node.js and TypeScript. Contribute to architecture, write production-grade code and automated tests, troubleshoot distributed systems, participate in on-call rotation, mentor junior engineers, and collaborate with architects, DevOps, product, and support to deliver reliable commerce and digital experience platforms.

Build and maintain a wealth management product as a frontend-focused full-stack engineer. Develop responsive Vue 3 interfaces, create Java/Kotlin and Spring Boot APIs, troubleshoot issues across the frontend, backend, and databases, and manage authentication, security flows, CI/CD, releases, and deployment strategies. The role requires strong production frontend and backend ownership, independent problem-solving, product and UX awareness, and collaboration with product and design teams.

Design and deploy computer vision and deep learning solutions for manufacturing inspection and monitoring. Extract and clean large datasets, build multimodal AI models, apply MLOps for production deployment, and collaborate with cross-functional teams to translate research into operational systems and documentation.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

Lead the design and delivery of enterprise-scale data platforms and pipelines, using modern data platforms, processing frameworks, streaming technologies, and cloud services. Build, lead, and mentor a data engineering team; support client relationships, proposals, migrations, governance, security, and compliance. Contribute technical thought leadership through blogs and community engagement while delivering solutions from proof of concept through commercialization.

Drive enterprise sales of Upwind Security’s CNAPP solution across Singapore. Responsibilities include territory planning, prospecting, full-cycle deal management, executive relationship building, product demonstrations, forecasting, CRM administration, market analysis, and collaboration with marketing, product, and sales engineering teams. The role requires strong knowledge of cloud security, DevSecOps, AWS, Azure, GCP, and Singapore’s enterprise technology market.

Lead architecture and hands-on development for risk, fraud, scam prevention, money operations, reconciliations, and chargebacks. Build resilient, low-latency, event-driven financial systems with auditable ledgers, strong correctness, and high availability. Mentor engineers, establish technical direction, support production ownership, and collaborate with Product, Data/ML, Compliance, and engineering leaders. Apply AI-assisted tooling and deliver scalable, compliant services across global payment infrastructure.

The role involves overseeing IT platforms, managing technology and applications, ensuring compliance, leading teams, and driving digital workplace projects.

Lead enterprise cloud transformation engagements by designing and governing scalable, secure cloud-native platforms across AWS, Azure, and Google Cloud. Architect complex solutions, assess risks, develop long-term IT strategies, and guide architecture teams across large programs. Collaborate with project managers on delivery plans and statements of work, support major proposals and sales pursuits, and present solutions to executive stakeholders. Build strategic customer relationships, mentor architects, contribute to methodologies and knowledge systems, and deliver consulting guidance in English and Japanese.

Lead presales technical evaluations, presentations, customized demos, solution architecture, and proof-of-concepts for an Agentic AI Database. Guide customers through onboarding and deployment, drive adoption and expansion, troubleshoot technical issues, and act as a trusted post-sale partner. Collaborate with sales, customer success, product, and engineering teams while documenting evaluations and supporting webinars, conferences, and thought leadership.

Design, develop, and maintain MLOps pipelines for training, deployment, monitoring, and retraining. Manage containerized and cloud-based ML infrastructure, implement CI/CD and automated testing, monitor model performance and data drift, troubleshoot deployments, and ensure security and governance compliance. Collaborate with data science, engineering, and IT operations teams, research MLOps practices, and document architectures and processes.

Develop production-level, responsive, and accessible user interfaces for robotic products using React and TypeScript. Collaborate with cross-functional agile teams to design, build, test, and optimize software features. Apply software development lifecycle and Git best practices while gaining exposure to real-time protocols such as WebSockets and MQTT. Preferred experience includes Flutter, backend technologies, testing, CI/CD, and cloud platforms.