Top AWS Jobs in Singapore

Design, provision, and secure AWS cloud environments for large-scale data platforms. Implement networking, Lake Formation, CI/CD, cross-account connectivity, monitoring, governance, RBAC/TBAC, encryption, and automated IaC. Produce architecture documentation, runbooks, and collaborate in Agile squads supporting regulated, classified environments.

As Engagement Manager, you will manage client accounts, ensuring profitability and successful delivery of AI solutions through strategic relationships and governance frameworks. Responsibilities include driving business growth, managing P&L, and coaching teams to deliver impactful results.

Design and deliver Cohesity data protection architectures and repeatable deployment blueprints. Lead customer migrations from assessment through deployment, identify risks, create sizing/integration designs, validate procedures in-field, enable partners and customers, and provide product feedback to engineering and product teams. Drive documentation, runbooks, and post-deployment operational practices.

The Staff Machine Learning Engineer at Coupang Play will develop recommendation and personalization systems, manage data collection, and validate model performance.

Operate and evolve Vitol's global shared platforms, CI/CD and cloud services (AWS hybrid). Build platform tooling, automation, pipelines, and deployment services; own reliability, incident response, lifecycle management; partner with developers and security to improve developer experience and embed secure practices; collaborate globally on support and standards.

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

Operate and maintain the Data Platform across GCP and AWS, ensuring reliability, security, cost and performance. Manage IaC and CI/CD, run incident response and post-mortems, operate central data management (pipelines, storage, catalogues, access controls), improve observability and automation, and apply AI tools to streamline ops and tooling.

As an OutSystems Developer, you will design and build enterprise applications, focusing on scalability and performance, and contribute to AI-augmented workflows while collaborating with teams.

Design, support, and operate HPC compute and storage across on-premises and cloud environments. Maintain large-scale Linux systems, troubleshoot OS/storage/networking and cluster scheduler layers, manage batch and containerized workloads (CPU/GPU), build HPC tools and observability pipelines, handle deployments and lifecycle, and automate repetitive workflows to improve cluster utilization and reliability.

The Data Scientist will design and develop data platforms, optimize ETL pipelines, and drive analytics and AI implementation within the Thales In-Flyt Experience ecosystem.

Manage and optimize servers, cloud platforms, storage, and network infrastructure; implement cybersecurity controls and incident response; support end-user devices and IT operations; administer backups and disaster recovery; evaluate and drive AI-driven automation; coordinate projects and vendors, and maintain technical documentation and SOPs.

Design, automate, and maintain secure, scalable infrastructure and CI/CD pipelines across cloud and data center environments. Implement security controls, perform vulnerability assessments, automate provisioning and disaster recovery, monitor observability, troubleshoot incidents, and integrate security into development workflows.

The Compliance Engineer will manage compliance certifications, assist sales with security queries, conduct risk assessments, and enhance compliance tooling across APAC regions.

Lead technical sales engagements for enterprise analytics, automation, cloud migration, and AI using the Alteryx One Platform. Conduct discovery workshops, design solution architectures, deliver demos and POCs, enable partners, mentor sales engineers, and drive technical wins with customers and stakeholders.

The Senior Site Reliability Engineer will ensure the reliability and performance of ClickHouse Cloud, managing incidents and collaborating with engineering teams to optimize systems.

Sell cloud managed services to enterprise clients by developing relationships, generating demand, managing pipelines, structuring managed services deals, and coordinating internal delivery and vendors through to contract close.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

The AI Engineer will solve complex problems using AI engineering expertise, maintain client relationships, and continuously improve skills in AI and data.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

Build and automate AWS-based platform capabilities, CI/CD pipelines, and release automation to enable internal product teams. Collaborate with developers and security teams to improve deployment workflows, monitoring, and platform adoption; provide standby/production support as needed.

The SaaS Sales Specialist sells Commvault Cloud SaaS solutions to customers and partners, achieving sales quotas, providing demos, and helping close deals in collaboration with sales teams.

SimplifyNext is a consulting company that empowers organizations through automation and AI, offering training programs and developing internal capabilities for sustained business transformation.

As a Technology Analyst, you will collaborate with consultants to address client challenges, analyze requirements, design solutions, and provide post-implementation support.

As an AI Engineer at SimplifyNext, you will develop machine learning models, integrate AI solutions, perform data engineering tasks, and collaborate with SMEs to deliver impactful AI-driven solutions.

As an AI Engineer, you will build and deploy AI solutions, work with data preparation, integrate models into applications, and collaborate with teams to solve business problems using AI.