Top AWS Jobs in Singapore

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.

Develop and maintain high-performance risk metrics engines and workflows for counterparty credit risk. Build scalable, resilient backend systems and data/calculation pipelines, integrate AI and cloud technologies, write production-grade code and tests, and collaborate with quantitative engineers and product managers to implement next-generation architecture.

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 support full-stack ERP and manufacturing platform features using Go, TypeScript, and React. Develop AI-enabled capabilities such as semantic search, summarization, and data extraction; integrate LLMs, retrieval pipelines, and embeddings. Improve observability, CI/CD, automated testing, and developer workflows through agentic AI. Collaborate with engineering, product, and stakeholders while troubleshooting production-facing issues and documenting solutions.

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 large-scale technical risk assessments, design and deploy enterprise cybersecurity controls (including AI-assisted validation) across cloud-native applications, advise stakeholders and engineering teams, and drive adoption of firmwide security frameworks and SDLC-integrated controls.

Develop and maintain automated testing frameworks for Salesforce and other SaaS applications supporting government solutions. Design test strategies, execute functional, integration, performance, security, and manual tests, analyze defects and performance metrics, and integrate continuous testing into CI/CD pipelines. Collaborate with agile engineering teams to improve test coverage, maintain compatibility with platform updates, and contribute to infrastructure as code and security compliance efforts.

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.

As a Data Scientist, you will analyze large datasets, develop predictive models, and improve existing tools while collaborating with teams for data analysis projects.

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.

Administer and maintain the bank’s DevOps toolchain, including Jira, Bitbucket, Confluence, Nexus, Jenkins, Ansible, and SonarQube. The role manages upgrades, patches, security, compliance, monitoring, troubleshooting, automation, documentation, and training. It also improves CI/CD workflows and developer productivity while ensuring high availability and audit readiness.

The DevSecOps Engineer at Kyndryl designs and automates infrastructure and deployment pipelines, ensuring security and scalability in cloud environments. Responsibilities include troubleshooting, configuring CI/CD pipelines, and implementing security best practices.

Supports mission-critical on-premises and hybrid infrastructure platforms, overseeing operations, vendor activities, complex incident resolution, technical changes, security governance, and platform reliability. Coordinates infrastructure refreshes, upgrades, migrations, and modernization projects while tracking risks, dependencies, issues, and milestones. Maintains operational documentation and collaborates with application, network, security, and vendor teams across compute, storage, virtualization, operating systems, backup, disaster recovery, and high-availability environments.