Top AWS Jobs in Singapore

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

Embed with strategic customers to design, build, and deliver production-grade AI/LLM solutions. Lead discovery, scoping, PoCs, integrations (APIs, data pipelines, RAG/vector DBs), production rollouts, and handoffs. Troubleshoot complex data/infra/model issues, collaborate with sales and product teams, and translate customer learnings into prioritized product improvements.

Design, automate, secure, and maintain cloud and data-center infrastructure and CI/CD pipelines. Implement configuration management, monitoring, disaster recovery, vulnerability assessments, and DevSecOps best practices. Troubleshoot incidents, provision resources, and integrate security controls across development and production environments.

Develop and deploy AI/ML and generative-AI solutions: collaborate with stakeholders, research methods, perform data wrangling and feature engineering, maintain deployed models/assistants, build backend APIs and frontend interfaces, document products and fix security issues.

Full-stack engineer responsible for designing, developing, deploying, and maintaining scalable, secure web applications. Work spans frontend and backend development, API design, cloud infrastructure, CI/CD, observability, security, and collaboration with QA and DevOps to ensure performance and reliability.

Design, build, and maintain large-scale batch and real-time data pipelines, ETL/ELT processes, and data stores (data lakes, marts, warehouses). Perform data extraction/cleaning (including web scraping), integrate data silos, develop backend APIs, and collaborate with cross-functional teams in an Agile CI/CD environment.

Full-stack engineer responsible for designing, developing, deploying, and maintaining scalable, secure web applications. Duties include frontend and backend development, API design, cloud infrastructure automation, CI/CD optimization, observability, security best practices, test automation, and collaborating with DevOps and QA teams to ensure performance and maintainability.

Design and deliver end-to-end, scalable, secure architectures for asset management and predictive maintenance. Define application, data, platform, and infrastructure strategies (cloud/hybrid), integrate analytics and predictive models, embed cybersecurity, lead technical delivery across design-build-deploy-operate, and ensure governance and stakeholder alignment.

Work on the flagship backend product owning features across the full software lifecycle. Design, implement and deploy scalable APIs and back-end systems using Java 17 and Spring Boot in a hybrid on-premise/cloud environment. Ensure maintainability, correctness, testing, monitoring and team collaboration.

Design and implement a durable, highly available (5-6 nines) distributed workflow execution platform. Lead architecture, integrate AI/ML for automation, solve distributed locking/timers/determinism, ensure observability, and collaborate with product teams to support large-scale, long-running workflows.

Lead enterprise-wide solution architecture (70%) and perform hands-on Java development (30%). Design cloud-native microservices, REST APIs, and event-driven integrations; implement Java/Spring Boot/Spring Cloud services; apply Docker, Kubernetes, CI/CD and DevOps practices; work with relational and NoSQL databases; mentor technical teams and engage stakeholders to drive technology transformation.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

As a Senior Strategic Sales Engineer at Commvault, you'll drive pre-sales engagement, develop territory plans, and provide technical guidance to customers while evangelizing Commvault's solutions and supporting channel partners.

Partner with Account Executives to drive adoption of the Lakebase product line by designing technical strategies, delivering demos/workshops, resolving tier-3 escalations, enabling customers at scale, and influencing roadmap through field-derived insights. Use deep OLTP, cloud, Lakehouse, and data ecosystem expertise to architect solutions and ensure mission-critical success.

Sell Databricks to commercial/mid-market accounts across ASEAN by developing account strategies, identifying use cases, mapping whitespace, and driving consumption-based adoption. Use solution/value-based selling, engage technical and business stakeholders, co-sell with cloud partners, track opportunities in Salesforce, and collaborate cross-functionally to close new business and grow existing accounts.

Build and maintain backend services in Go, manage distributed validator sets, automate infrastructure with Terraform and Kubernetes on AWS, troubleshoot performance and security, and collaborate on scalable Web3 architectures.

Lead design and maintenance of scalable data pipelines, ETL/ELT processes, and data warehouse architectures. Optimize infrastructure and data quality, build automated monitoring, support high-priority analyses, and partner with Product, Engineering, and GTM teams to deliver actionable data solutions.

Lead architecture and operation of multi-region Kubernetes and cloud infrastructure for a high-volume decentralized exchange. Drive site reliability, security, low-latency design, incident response, and mentor engineering teams while scaling platform and aligning infrastructure with business goals.

Design, build, and maintain dApps and blockchain systems across the full stack: smart contracts, back-end services, and front-end interfaces. Integrate wallets, decentralized storage, and indexing solutions; ensure security, performance, and cross-chain interoperability while collaborating with product and engineering teams.

Maintain and enhance low-latency network infrastructure for trading systems, support traders, drive connectivity and performance improvements, automate orchestration tasks, provide multi-tier support, and engage stakeholders to ensure reliability and contingency readiness.

Design and develop high-frequency quantitative trading strategies for cryptocurrency markets. Analyze order book, on-chain, and alternative datasets; build and backtest predictive models for price, volatility, and liquidity; collaborate with developers to productionize models; incorporate risk controls and document research for audit.

The Front End UI Developer will utilize Agile methodologies, demonstrate strong programming skills in JavaScript and related frameworks, and work with various front-end and back-end technologies to develop applications.

The Senior ETL Developer will manage ETL processes, validate data flows, develop data warehouse models, and document technical specifications.

The Front End UI Developer will leverage modern JavaScript frameworks, HTML5, CSS, and React technologies to build and enhance web applications, with experience in back-end Java and AWS.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.