Top AWS Jobs in Singapore

The Presales Solution Architect collaborates with clients to design and implement cloud-based solutions, leveraging modern methodologies and automation tools to meet business needs.

Design, build, and operate low-latency, high-throughput trading infrastructure and microservices for 24/7 crypto market operations. Implement exchange and on-chain connectivity, execution engines, market-data pipelines, pre-trade risk controls, monitoring, reconciliation, and data-quality workflows. Profile and optimize latency, mentor engineers, and collaborate with liquidity managers, product, risk, finance, and operations to deploy resilient, scalable trading systems.

Build and maintain the risk-control data warehouse, develop thematic metrics and indicators, design offline and real-time data architectures, optimize data pipelines, and deliver reporting and API interfaces for the data mart to support risk control business lines.

The Client Technology Manager oversees IT managed services for clients, ensuring satisfaction through relationship management, project delivery, and technical support, while leading a team of engineers.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

The Cloud Architect will design multi-cloud environments, ensuring robust security, networking, and compliance for enterprise clients while maintaining delivery accountability.

Design, build, deploy and govern AI solutions (LLMs, agentic systems, MLOps). Collaborate with clients and partners, deliver end-to-end AI projects, and continuously upskill in AI engineering and deployment best practices.

As a Senior DevOps Engineer, you will enhance our AWS infrastructure and deployment processes, automate tasks, manage CI/CD pipelines, and mentor junior engineers.

Design, build, deploy, and scale production AI and Generative AI solutions (LLMs, RAG, agentic workflows). Build data pipelines, cloud-based MLOps/LLMOps, and retrieval architectures. Collaborate with stakeholders, embed responsible AI and governance, and develop reusable frameworks, monitoring, and automation for enterprise deployments.

Provide pre-sales technical consultancy and solution design for commercial customers. Lead demos, POCs, tender responses, and training; design and propose network and security implementations across on-prem and cloud environments.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

Contribute to backend services and APIs in Python, support development and deployment of ML models, containerize applications, improve CI/CD and deployment workflows, debug and optimize system performance, and collaborate on system design while writing clean, documented code.

Build and maintain end-to-end web applications: develop responsive React frontends, design backend services and RESTful APIs (Java/Node/Python/AWS Lambda), work with databases, troubleshoot performance issues, write tests, and collaborate with product, design, and engineering teams.

Lead cloud managed-services sales by identifying, developing, negotiating, and closing complex outsourcing opportunities. Serve as a trusted executive advisor, align AWS, Azure, and Google Cloud solutions with client needs, manage pipelines and sales strategies, drive renewals, upselling, cross-selling, revenue, and margin growth, and collaborate with presales, delivery, and client teams to ensure satisfaction and reduce churn.

Support and optimize real-time financial market data systems, including exchange and client feeds. Integrate, normalize, monitor, and distribute low-latency market data while troubleshooting connectivity, data integrity, and infrastructure issues. Develop automation, tune system performance, conduct capacity planning, maintain documentation, and ensure compliance with exchange and regulatory requirements. The role also supports deployments and production incidents during weekends and public holidays.

Design, build, and optimize complex distributed backend systems using microservices, event-driven architectures, and cloud platforms. Responsibilities include architecture evolution, performance and reliability improvements, code reviews, automated testing, CI/CD, monitoring, cross-functional collaboration, project delivery, and mentoring junior engineers.

Provides technical consulting for AML, sanctions screening, and third-party risk solutions across APAC. Leads RFPs, sales engagements, client implementations, API integrations, data pipelines, analytics, reporting, and risk decisioning initiatives. Advises customers on data architecture, modeling, transformation, and enrichment while serving as a technical SME and customer advocate. Partners with sales, product, and delivery teams, presents at industry events, and monitors regulatory, technology, and competitive developments.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Develop automated tests and genomic data analysis pipelines to validate code deployments, detect errors, and ensure the accuracy and integrity of clinical-grade sequencing workflows. Collaborate with software engineers and variant curators to improve bioinformatics processes and prevent production issues. The role combines bioinformatics expertise, large-scale genomic data analysis, software quality engineering, and test automation in a fully remote genomic health platform.

Develop and integrate embedded software for devices including radar, smartcards, wearables, and telecommunications or IoT systems. Work across low-level hardware interfaces and high-level functionality using embedded operating systems, C/C++, communication protocols, simulation tools, and testing platforms. Collaborate in DevOps, Agile, and Scrum environments while applying cloud technologies and automated deployment tools such as AWS, GCP, Helm, Ansible, and Docker.

Design, integrate, deploy, and maintain secure OT/IoT systems spanning hardware, software, cloud platforms, and connected devices. Develop web and backend applications, integrate OT protocols and hardware interfaces, optimize cloud-native services, implement CI/CD and monitoring, protect data, support machine learning integration, improve user workflows, and maintain technical documentation. Collaborate with stakeholders on architecture, product roadmaps, governance, and tender evaluations.

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.

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.

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.

Implement and configure Collibra data catalog and lineage (technical and business), integrate metadata from ETL, data lake/DWH and core banking systems, map end-to-end lineage, enforce MAS-aligned data governance, validate metadata quality, and manage stakeholder delivery and reporting.